|
|
Absolute deviation, 绝对离差, P6 J0 m# g" H. X
Absolute number, 绝对数. f) d: P7 ~: g" D+ {
Absolute residuals, 绝对残差
* j: v G2 X h4 Y; HAcceleration array, 加速度立体阵
. L" Z4 f8 R9 D3 G" l" zAcceleration in an arbitrary direction, 任意方向上的加速度
l" i: D. X- l# Z1 _: @: o0 R, nAcceleration normal, 法向加速度* a7 R2 [4 d3 h9 X7 ]/ ?9 b3 Z( l
Acceleration space dimension, 加速度空间的维数
: J& x3 ]: [% K MAcceleration tangential, 切向加速度: z) q I6 l7 o" Y4 u
Acceleration vector, 加速度向量9 S* R( w) O: `/ _7 O% ]
Acceptable hypothesis, 可接受假设- k" R; N; h' }
Accumulation, 累积
+ s" l5 B0 S" IAccuracy, 准确度# k' x- i" P. @4 t a5 j8 a
Actual frequency, 实际频数
1 [+ e3 R: H+ m9 R( j) ]Adaptive estimator, 自适应估计量/ D4 G" H" M, k4 ?3 Z
Addition, 相加
* j5 m* J0 w' j9 l B. EAddition theorem, 加法定理. }, D/ B8 z5 z: A! u4 F
Additivity, 可加性
& U) }( S7 b0 h4 mAdjusted rate, 调整率
* I- L% @8 h. K( S9 aAdjusted value, 校正值& m4 k2 Z2 n$ S: S, }+ ~
Admissible error, 容许误差
1 A( |1 h8 r1 ^4 Y: U CAggregation, 聚集性
& J) }: _4 }6 yAlternative hypothesis, 备择假设* q2 r9 w) h0 n, B( s3 Y+ R2 W
Among groups, 组间* Q: `/ K+ U$ j: _) }1 Z& c% U
Amounts, 总量/ I$ |' u8 V$ s0 v7 p. a0 z$ g5 q8 R
Analysis of correlation, 相关分析" |: c7 p/ g; S+ |6 e+ O; ]6 {
Analysis of covariance, 协方差分析2 p2 C8 }5 C3 h' J) D# c
Analysis of regression, 回归分析& z7 }+ v' ], H' M
Analysis of time series, 时间序列分析( d0 `* c. ^" e# T2 x3 M4 X
Analysis of variance, 方差分析* I; d$ P# k+ b$ u( i2 Q
Angular transformation, 角转换( s+ g6 x( e: A! ?- m& v
ANOVA （analysis of variance）, 方差分析
# e8 j2 D2 i+ |6 lANOVA Models, 方差分析模型8 \/ f9 p7 j* k" T8 j
Arcing, 弧/弧旋
- P# Y8 F4 R/ P0 b* W, Z1 T& dArcsine transformation, 反正弦变换
3 C9 n/ d$ C- D u8 o) z/ X" x* SArea under the curve, 曲线面积
) `/ G6 R% y# MAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ( `6 ?7 C3 p2 ?$ Q0 ^ u4 G: W
ARIMA, 季节和非季节性单变量模型的极大似然估计 * M$ Y) w2 B* _! D$ p8 K
Arithmetic grid paper, 算术格纸
* R5 d8 t9 w4 ~: uArithmetic mean, 算术平均数
5 s9 y: O' B! G/ T B- \Arrhenius relation, 艾恩尼斯关系
. }2 V+ q5 N, [; }* nAssessing fit, 拟合的评估! r$ a: V: D2 d( |9 E) H
Associative laws, 结合律
7 q" H, ]9 h0 |Asymmetric distribution, 非对称分布" I9 @5 _3 [; v8 D+ i+ i
Asymptotic bias, 渐近偏倚
7 x2 i# q: U3 K: o/ O( M1 ?( @Asymptotic efficiency, 渐近效率
% [/ u4 Q1 [+ WAsymptotic variance, 渐近方差
0 N8 N( Q. W4 a" h" y& BAttributable risk, 归因危险度) N( k* ~3 t$ E
Attribute data, 属性资料
0 O# \8 f# @. Z7 V( [2 M0 KAttribution, 属性4 [/ }# H" W6 _" J$ ~
Autocorrelation, 自相关/ U' O7 K& q% v- ?2 w0 w
Autocorrelation of residuals, 残差的自相关
0 J" d$ h0 {! u0 e% A( FAverage, 平均数
$ \9 |" ^: {8 s- rAverage confidence interval length, 平均置信区间长度. A( _! Y! m5 l( ?- p
Average growth rate, 平均增长率2 w: s" [: a. |9 |& U% U) G
Bar chart, 条形图
/ o: ^ F8 W; K2 |2 P/ ^* V: K0 e7 O9 ^2 iBar graph, 条形图
* |" {7 ~8 Q& L5 s% C* l- |Base period, 基期2 u) I( T1 y0 A; S/ w5 @+ L
Bayes' theorem , Bayes定理8 a3 u! F& X3 y: r* g. f
Bell-shaped curve, 钟形曲线* F" B% u/ O" V
Bernoulli distribution, 伯努力分布
6 p% A& Y7 H# Z# _, v+ p1 T! Z; [Best-trim estimator, 最好切尾估计量) I! h ?& i2 a/ {9 G
Bias, 偏性
0 t+ B8 O# H! q' I$ lBinary logistic regression, 二元逻辑斯蒂回归
( l& {( U8 [5 A3 |5 I% }' E# pBinomial distribution, 二项分布
# N& v$ j% g+ R5 K& _Bisquare, 双平方& O( R- D/ Y X
Bivariate Correlate, 二变量相关4 |1 R9 f+ a9 o9 x" z
Bivariate normal distribution, 双变量正态分布
- Q% e1 B4 }( j( s& P YBivariate normal population, 双变量正态总体3 X" I" i9 D J" {) e) J5 a
Biweight interval, 双权区间! F4 @; K) J% d: B* H
Biweight M-estimator, 双权M估计量8 v0 }( d3 r& c8 r* g8 g" ]
Block, 区组/配伍组
/ f% \7 C5 o# v$ UBMDP(Biomedical computer programs), BMDP统计软件包/ d8 v9 f/ z5 F3 S/ u1 M
Boxplots, 箱线图/箱尾图( f9 W7 q3 O" Z& j: I( x* z! [
Breakdown bound, 崩溃界/崩溃点
; h- ^; G! G0 ]! y9 ECanonical correlation, 典型相关
3 d! O% A, {& q& Z) zCaption, 纵标目
4 c8 m5 ~! ^2 I5 l/ WCase-control study, 病例对照研究- C' k. \$ F! W) r4 d- _! X
Categorical variable, 分类变量
/ Q) @6 Y0 a; `$ QCatenary, 悬链线
/ t+ J+ ?8 ~/ F3 RCauchy distribution, 柯西分布! n+ o$ }2 s. J- L z
Cause-and-effect relationship, 因果关系- H/ F* X* A |- {$ I+ U% ]1 Z3 N
Cell, 单元( q: S5 s' K9 @9 D
Censoring, 终检& [* h# I, y/ s. d* K4 ^( ?6 \1 @
Center of symmetry, 对称中心/ D: R( L: ^& l& Z. U* s. z
Centering and scaling, 中心化和定标. A. R' ^- f2 P8 _
Central tendency, 集中趋势
9 g. ^2 B5 `( X: U, W3 L) [/ D9 o, vCentral value, 中心值
) k9 ` B# S: f9 \CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测6 \0 q2 n. G9 _+ f+ ]( d( r
Chance, 机遇1 _' U+ i- O7 p4 U7 F- B
Chance error, 随机误差: W I! A8 n$ r
Chance variable, 随机变量/ K; N# T; v, F# N
Characteristic equation, 特征方程
$ J$ a: @) i6 M8 tCharacteristic root, 特征根
1 q2 m% m9 Q- r) [5 xCharacteristic vector, 特征向量% E, a1 s2 u) E |; k' L
Chebshev criterion of fit, 拟合的切比雪夫准则
" J. `" J* r( i. p/ c6 f1 |7 bChernoff faces, 切尔诺夫脸谱图
% G% z6 c4 X9 q6 p# Z5 FChi-square test, 卡方检验/χ2检验
5 D; E2 ?7 A5 R2 O8 kCholeskey decomposition, 乔洛斯基分解1 i, V+ Z# u) r; I( v
Circle chart, 圆图
2 t9 w; i* m2 t. ]. ]Class interval, 组距; m* F! k- m8 O' R* z! U
Class mid-value, 组中值7 W1 Q; |4 I: o7 y" T4 `, g& _
Class upper limit, 组上限& `3 l2 G h5 G7 \( |! C) V, Q
Classified variable, 分类变量; z, M: q! c* K# H7 ]& {
Cluster analysis, 聚类分析
2 u) l- l i& S6 C1 e- i4 J1 FCluster sampling, 整群抽样$ t7 |! j+ q; W. y6 q6 L
Code, 代码
8 F# m# ?4 k; `7 v: T6 WCoded data, 编码数据% T7 r- d; {" `* G( D6 N5 p! B) ^7 L
Coding, 编码
, ~1 b$ m( B! y" p7 E' M) R) T" u$ eCoefficient of contingency, 列联系数
) r& l, b& n- x, N. p5 n( H. J2 {% eCoefficient of determination, 决定系数
( ]3 A$ l7 h3 L/ ~* ICoefficient of multiple correlation, 多重相关系数
* \1 v% R# p& |3 G+ C; QCoefficient of partial correlation, 偏相关系数8 A' f! O/ z9 [) l8 g. h7 O
Coefficient of production-moment correlation, 积差相关系数
: a* Q" a2 {, D7 `2 _2 Z xCoefficient of rank correlation, 等级相关系数
3 ?; I- t/ r. w! r4 kCoefficient of regression, 回归系数* N W5 ^2 K. d6 O
Coefficient of skewness, 偏度系数' {+ G4 _7 i" N$ P
Coefficient of variation, 变异系数5 r( E8 K6 r* ` p9 _% G
Cohort study, 队列研究
! l* `$ _: T0 w7 `Column, 列/ I! l2 E% Q+ Y. f' H0 h* `
Column effect, 列效应
8 s. p/ h1 s: ]1 z& xColumn factor, 列因素- N; ^, T) |2 ?* e8 M Q
Combination pool, 合并5 z4 y4 J: j; k; e
Combinative table, 组合表
) h0 f$ c2 w% p! _: bCommon factor, 共性因子
* m3 N% _% j$ e% YCommon regression coefficient, 公共回归系数) a! Z4 Q! @$ O8 p
Common value, 共同值
( _; \: R4 d; N8 [3 RCommon variance, 公共方差- S0 U! V0 G) s/ ]2 F' {
Common variation, 公共变异" E9 ^( q2 I* z0 X. B$ W
Communality variance, 共性方差
; U$ o \9 v( V" aComparability, 可比性
9 D, B G0 D YComparison of bathes, 批比较
1 q9 Y6 s; w" w, A, ^8 F+ ZComparison value, 比较值
1 z' ?$ O: A6 ECompartment model, 分部模型- P+ `5 t% t! P* w$ J# f
Compassion, 伸缩5 w% ?1 D( y' W, m1 \
Complement of an event, 补事件+ U y' p* g/ y5 k1 v# H
Complete association, 完全正相关 P# P, G X9 `
Complete dissociation, 完全不相关! Z" H3 t" e, O, V" T4 f9 p0 H# S6 y9 v6 b
Complete statistics, 完备统计量7 w9 W- `" C) M4 R
Completely randomized design, 完全随机化设计- N% w4 ^. v) i, t, m* z
Composite event, 联合事件
: _" F, D9 I) y" S( p, JComposite events, 复合事件% F0 f+ u% r$ i3 A3 K
Concavity, 凹性
- P1 A0 @% q1 ^Conditional expectation, 条件期望
. Q4 r3 i, b! p* V2 {Conditional likelihood, 条件似然
! G z8 y( }- [8 V+ K( Y9 Q: C) |Conditional probability, 条件概率
4 {( r/ v- a2 N* G1 B4 H4 r6 HConditionally linear, 依条件线性9 S0 [. g% M, q
Confidence interval, 置信区间
6 w, I7 l# {7 q& m( f; n3 N. eConfidence limit, 置信限5 P" }1 q# s$ k# l0 S
Confidence lower limit, 置信下限5 N, S# D& r0 t$ [! }# A' y& F
Confidence upper limit, 置信上限/ x( T7 T2 @1 g0 h8 i
Confirmatory Factor Analysis , 验证性因子分析6 z ^% v7 y, ^& ~9 E7 a1 z% y
Confirmatory research, 证实性实验研究
. w' A# g5 K5 mConfounding factor, 混杂因素
. e, V2 U- h' `Conjoint, 联合分析
7 E% ~7 s& R6 r* B0 ~7 mConsistency, 相合性
) i* w# E/ v7 v9 bConsistency check, 一致性检验! z7 t8 I0 f% ?5 ~$ \# I
Consistent asymptotically normal estimate, 相合渐近正态估计6 v, q, v! h, U! Y, k) S
Consistent estimate, 相合估计: q/ W* \3 t3 Z9 e# y
Constrained nonlinear regression, 受约束非线性回归
+ F, M- S ]. e+ X8 n9 j4 fConstraint, 约束1 [3 A* K. B1 \/ C. z2 B
Contaminated distribution, 污染分布. H q* ^( B4 ^, U- U
Contaminated Gausssian, 污染高斯分布9 v, x& o. S0 W% |4 v
Contaminated normal distribution, 污染正态分布1 C+ M& c9 D9 Q& X& L
Contamination, 污染# @2 {! v M4 T: w* n4 f
Contamination model, 污染模型2 z) l! E/ P. `3 T+ X- v
Contingency table, 列联表9 ]# S( o6 k( E
Contour, 边界线
# I E0 {; d8 M+ o# ~2 uContribution rate, 贡献率; ?, e# _0 j& H& [+ j8 n2 T
Control, 对照
! t. z9 a( p; ~3 u5 h6 xControlled experiments, 对照实验8 y9 G2 n0 |# G+ {" n2 J2 E
Conventional depth, 常规深度& [2 ~: [9 m! m6 Q3 ]2 U
Convolution, 卷积
( w' x# N6 t. Y, c3 `5 B/ QCorrected factor, 校正因子5 _+ Q, ~, N5 l' u4 G8 m! g; t3 I
Corrected mean, 校正均值2 X. A, J, G, l2 A1 c5 e! M
Correction coefficient, 校正系数
3 ]% N& t+ b" ?Correctness, 正确性
: B Z7 `& h; p9 _+ ]( SCorrelation coefficient, 相关系数
& e1 ~7 R! S$ B+ }; [9 dCorrelation index, 相关指数& x( \2 M) b' ^6 V7 }2 L
Correspondence, 对应
. g$ B/ y. F$ F+ [; g' GCounting, 计数0 W! Z- a9 P& K
Counts, 计数/频数6 c4 S( s U: O- Y0 W+ D# ~
Covariance, 协方差
( H5 ]0 j- U2 Q4 @! C* @, N+ n, O5 JCovariant, 共变 ) F" N' `. b9 \" R/ ~6 u
Cox Regression, Cox回归
% u& ^) J6 E tCriteria for fitting, 拟合准则) V/ J3 P2 u6 @8 g% y' n
Criteria of least squares, 最小二乘准则
# T$ t; `- K2 c6 wCritical ratio, 临界比
2 ?9 K; L, i5 `/ r& OCritical region, 拒绝域
4 I5 m2 f8 e0 I9 l+ I. |% Z. Y/ QCritical value, 临界值
& n, \( z# v$ hCross-over design, 交叉设计
" ?0 ~) @3 _7 n6 \3 I- \' hCross-section analysis, 横断面分析$ `- d) j6 g* L8 j# p7 G+ E; y" o$ T
Cross-section survey, 横断面调查
, \+ ~+ {( g- cCrosstabs , 交叉表
8 c$ [/ ^5 a' c3 u: pCross-tabulation table, 复合表- U, W) v# Z" M2 L2 E
Cube root, 立方根" L( }7 v, H/ Y5 S6 D6 E. J
Cumulative distribution function, 分布函数
* q+ o3 K d' o5 [2 C" Y- ^6 \Cumulative probability, 累计概率- ?2 y+ m1 ^% o
Curvature, 曲率/弯曲
" \+ i3 i: ~+ u9 H2 w2 J* ?Curvature, 曲率
$ S/ K4 S( k# eCurve fit , 曲线拟和 " ], M5 w0 C( |) W4 r4 Q
Curve fitting, 曲线拟合
- s; s: F, L0 x a% f! GCurvilinear regression, 曲线回归
# v& r }+ m- j# D! cCurvilinear relation, 曲线关系8 s9 F% A) i* y$ ~& O
Cut-and-try method, 尝试法* C! h, a: B% k1 W
Cycle, 周期$ F* @' x& Y; J% f
Cyclist, 周期性
3 v) W1 n2 a5 @0 e8 L4 ?. YD test, D检验
! g6 |$ u s E2 hData acquisition, 资料收集- Y/ v- E: f+ g. |
Data bank, 数据库
5 _/ b1 F& l3 p: J5 N4 h* dData capacity, 数据容量
% N- d, n" S+ aData deficiencies, 数据缺乏; r- i% v' |0 W% e/ {. {. v/ r
Data handling, 数据处理6 P& I) u A: J, I
Data manipulation, 数据处理% T- i3 ? r2 W6 [
Data processing, 数据处理, L' X X' d" C* e1 v
Data reduction, 数据缩减
% D- A( `2 O6 D* U- KData set, 数据集 J* v% ?/ e8 s
Data sources, 数据来源: }( F& {/ x" d$ o
Data transformation, 数据变换' q* B8 M6 l# M) q" i
Data validity, 数据有效性; g9 ~) q' g- w$ w4 e6 V" f8 E
Data-in, 数据输入
( V% a2 D; e* _) \6 CData-out, 数据输出! Z$ P& W( X" S- v2 {+ Y! c
Dead time, 停滞期1 h$ f# J' R& h) _( C$ k
Degree of freedom, 自由度
: R0 g) ~- z- V U8 ]Degree of precision, 精密度# A# G2 Z0 I# o# F- H9 {/ B
Degree of reliability, 可靠性程度
* j1 @ j$ ]$ a6 |2 I+ r5 s- TDegression, 递减
: l" |& m0 a# m2 ~ z# u5 nDensity function, 密度函数2 @9 D# e. f0 W% K5 B6 _
Density of data points, 数据点的密度
6 u3 w' @4 s( c0 P3 x/ wDependent variable, 应变量/依变量/因变量* ?) g% Y! ^( h* \* h' B
Dependent variable, 因变量3 O; n" m2 w, W% ^! H) ~
Depth, 深度+ o: K; N. d! u3 w
Derivative matrix, 导数矩阵
8 A. x3 h- S v. X% J& DDerivative-free methods, 无导数方法4 ~; |; q$ u, C# ~+ L
Design, 设计1 N! |: O- Y' L7 `3 y& M6 _
Determinacy, 确定性
- x' F$ w- q2 y$ A$ u. QDeterminant, 行列式& D! W& s( `8 I; @
Determinant, 决定因素
' B1 q! T+ c M) U: ^Deviation, 离差; i2 I5 B6 O& s( Z6 Q; U0 [
Deviation from average, 离均差
4 b! ?* U" h% N& H5 h4 c4 [; TDiagnostic plot, 诊断图
0 K, q X" B2 y: }/ \% R) jDichotomous variable, 二分变量/ }+ L% N! Z* x1 n }
Differential equation, 微分方程
1 v: ?7 @4 b/ r/ b9 O1 K" f hDirect standardization, 直接标准化法& D! M$ q4 X. O1 _+ N! L- w
Discrete variable, 离散型变量
3 B: X+ K9 L+ o+ O$ C3 E. QDISCRIMINANT, 判断
( [; e* J& |# a6 H$ }. m( W8 rDiscriminant analysis, 判别分析
5 u' O! U* W: }- `Discriminant coefficient, 判别系数
2 s9 \1 Q9 K9 n" q, H) mDiscriminant function, 判别值
% h! e% T* s1 i* l; i! tDispersion, 散布/分散度
3 _7 n3 z5 o, M; XDisproportional, 不成比例的
2 H! u0 l0 g6 P5 E$ rDisproportionate sub-class numbers, 不成比例次级组含量
% ]0 x5 c0 h8 x: |+ g( e. A" M3 P" u! SDistribution free, 分布无关性/免分布
3 }# S5 c9 z0 j1 ZDistribution shape, 分布形状
M1 Z6 V7 X! ?# TDistribution-free method, 任意分布法5 }" D. C' n: N/ [- I, A. N9 w
Distributive laws, 分配律+ t( x9 S* r* B+ \, B" k9 ?
Disturbance, 随机扰动项9 x3 K3 i/ I" t, n
Dose response curve, 剂量反应曲线
! h7 p! q+ t& l$ u& w9 Q; {; VDouble blind method, 双盲法
1 W! D2 F5 J( TDouble blind trial, 双盲试验3 {, u, f7 m0 x4 v: ?
Double exponential distribution, 双指数分布 R& K* R) p! Y& c
Double logarithmic, 双对数
5 z( h% ^6 ]1 s6 N0 D, ?Downward rank, 降秩4 R1 [" g# ]9 j- P" n# x
Dual-space plot, 对偶空间图
2 }/ j* d! h$ R( s1 cDUD, 无导数方法2 c; ^- ^# H1 G; j$ J* u# ]
Duncan's new multiple range method, 新复极差法/Duncan新法- `% D+ C5 K5 J9 e
Effect, 实验效应1 q2 k: R" C; V/ _/ [
Eigenvalue, 特征值0 w4 Z6 e5 L, J' n! D- H
Eigenvector, 特征向量: c5 c# ^9 }8 m
Ellipse, 椭圆4 X# A% J, K& Y/ v6 g; E) m
Empirical distribution, 经验分布3 \( J5 B0 X) n* Q% y, Y
Empirical probability, 经验概率单位
( a# s; l; Z* w/ b6 yEnumeration data, 计数资料. k: t* }! R8 }
Equal sun-class number, 相等次级组含量
$ _8 t+ }7 e2 e3 x# oEqually likely, 等可能0 k y5 D$ W" c
Equivariance, 同变性
/ q: Z8 R9 d5 FError, 误差/错误8 _4 \# A8 y7 M q ^" v; B z
Error of estimate, 估计误差# o, l4 I1 _. V: Z
Error type I, 第一类错误5 M5 B2 L2 F% H' z. p. w
Error type II, 第二类错误
5 ]5 R# q, R l2 w3 p6 }6 iEstimand, 被估量9 s$ h) z' f$ W' U% r4 X; N* n
Estimated error mean squares, 估计误差均方, w% ]4 {% i& B# I( E) z
Estimated error sum of squares, 估计误差平方和* R5 X h, N" t+ g0 S" m
Euclidean distance, 欧式距离6 `+ {# |$ k2 _# i) P
Event, 事件
( m/ v0 g' [9 O4 s6 sEvent, 事件
3 W* T8 j& `1 K. p: A1 C/ G8 QExceptional data point, 异常数据点) R8 }! ]( u/ z$ ~% ^/ c1 M, M
Expectation plane, 期望平面
% C; W h: u( f0 o% N$ g2 FExpectation surface, 期望曲面0 G% ?8 }$ [. {! n! L$ r
Expected values, 期望值
3 B2 ?) D( i! z" {, ^, ?Experiment, 实验6 m1 u5 l2 p% z5 M- H; T
Experimental sampling, 试验抽样
+ Q9 L6 Y o4 sExperimental unit, 试验单位' }; D) o# m" N. Z! p
Explanatory variable, 说明变量/ l+ I C: \/ q9 v7 ^, X# h8 K
Exploratory data analysis, 探索性数据分析( `3 Y k, ?/ S' O
Explore Summarize, 探索-摘要
+ _. Y! p- n! C- h1 K+ pExponential curve, 指数曲线+ d9 Y: S! U: @" G$ G/ e0 j6 A% T5 v
Exponential growth, 指数式增长
q; ^) y* x4 z, REXSMOOTH, 指数平滑方法
* ]: N" L6 u; F$ g, G( nExtended fit, 扩充拟合# d# [! b1 [; ^% X6 [8 @. I7 A" E
Extra parameter, 附加参数
) c J/ C" Q/ \& r$ ?Extrapolation, 外推法
5 v0 ^: c! {# I& \8 d. s' jExtreme observation, 末端观测值
0 q2 E4 O! l0 X9 e- @Extremes, 极端值/极值
: K$ s* v5 b! k* Y2 z$ IF distribution, F分布
$ e- v2 |0 ?! V5 B. r& f5 |F test, F检验( X, [6 I& O. s/ O
Factor, 因素/因子
4 ]5 i+ S: q/ sFactor analysis, 因子分析' n4 W4 P* z1 |- `
Factor Analysis, 因子分析; L; b$ Q- ?* a4 D7 P
Factor score, 因子得分 ! s; H1 n/ L$ m y
Factorial, 阶乘; b# u! ~7 m! \6 A
Factorial design, 析因试验设计
0 T+ F/ v8 ]1 N0 OFalse negative, 假阴性$ l2 L! G4 `' e( T
False negative error, 假阴性错误
' n# O; E( [ \- U7 pFamily of distributions, 分布族) }5 T5 J. _7 s; ?! H5 I" {8 ~* m
Family of estimators, 估计量族1 e/ D+ J# c1 S# G
Fanning, 扇面6 r8 U0 G4 T. E" E6 L8 X7 T* i
Fatality rate, 病死率
# k1 b# m, m) R3 d( _9 aField investigation, 现场调查& a* r' w6 w5 J% ^
Field survey, 现场调查
- W- V( v( z! t- kFinite population, 有限总体
, i' f9 B/ Q4 FFinite-sample, 有限样本
* Q- I# b# C I- j( O8 qFirst derivative, 一阶导数
. P1 b' j" k! b4 ~$ B! u+ ^First principal component, 第一主成分
( H. T( R! Z3 |" u- ? e* o( HFirst quartile, 第一四分位数
7 G0 u! d7 \3 V, C# v' p0 oFisher information, 费雪信息量
# W5 e5 I. Z' A2 d5 {Fitted value, 拟合值, b+ a* K: G; A% X6 H8 M
Fitting a curve, 曲线拟合) C+ w% r$ Z$ U% ^* p7 s
Fixed base, 定基0 l! S# D# h0 v& g% E% O
Fluctuation, 随机起伏! J7 I2 g4 u" U
Forecast, 预测! N" `' a+ B/ Y' N8 p& q* T' v
Four fold table, 四格表
) X# X. Y$ p, k# G+ pFourth, 四分点
+ H4 N/ H" M' m$ \7 iFraction blow, 左侧比率
# d) x. [! n# kFractional error, 相对误差 @* h) c* F0 o) h$ N7 m! e
Frequency, 频率 m+ [0 ^$ u6 r: g3 H2 w
Frequency polygon, 频数多边图
8 h0 I8 s4 \( R, cFrontier point, 界限点
+ ]; J% J: u- [: LFunction relationship, 泛函关系5 @5 N' a+ o$ D' z" `+ ?
Gamma distribution, 伽玛分布
: ?% M3 {% K' H! Z# R' Q0 G! ^3 tGauss increment, 高斯增量
2 d% {7 c; J: F0 ]Gaussian distribution, 高斯分布/正态分布
7 |( |, i2 ?$ }. sGauss-Newton increment, 高斯-牛顿增量( ?: j# C/ u2 V
General census, 全面普查
% Z Y H- A6 k+ I' K1 n o" ]& LGENLOG (Generalized liner models), 广义线性模型
! I+ s1 u8 ~' JGeometric mean, 几何平均数
) z0 |0 z: Q3 J* a) uGini's mean difference, 基尼均差
% D2 Q* n! S( C' y, O! AGLM (General liner models), 一般线性模型
& l9 D9 a4 Q7 {9 XGoodness of fit, 拟和优度/配合度+ m0 f+ [0 L9 z# @
Gradient of determinant, 行列式的梯度4 t* u6 C- |6 q7 I3 r
Graeco-Latin square, 希腊拉丁方
* D6 \# c ?2 \: m- x: U( ?Grand mean, 总均值" \ a9 m/ T9 X$ M- J
Gross errors, 重大错误; x3 c; s5 F5 i! _
Gross-error sensitivity, 大错敏感度
9 v3 V, {9 y8 e/ n7 bGroup averages, 分组平均" v [: o% @( h- X6 M
Grouped data, 分组资料
0 K3 F7 G7 ]! P# f6 d7 aGuessed mean, 假定平均数4 k* N' \9 O9 { R. b; v
Half-life, 半衰期2 l5 \3 H, m4 Q6 v
Hampel M-estimators, 汉佩尔M估计量
* x% d4 w- C4 s# d3 g! GHappenstance, 偶然事件
! D) F% Q, u* a+ G5 v g* O" cHarmonic mean, 调和均数# s4 `' a8 Z) r# d6 L" s8 _5 J, n( O
Hazard function, 风险均数
J" l) r* s2 Z4 s; T) M9 }& wHazard rate, 风险率: {. W$ @( U% T4 L5 k D, @
Heading, 标目 ) e% y7 q$ m( c; o
Heavy-tailed distribution, 重尾分布
! n+ {4 K! @) Q7 w8 f' C/ hHessian array, 海森立体阵' d2 S* Z) F" C' D" r* R2 f
Heterogeneity, 不同质
. {8 v- O* X1 v8 e: O4 OHeterogeneity of variance, 方差不齐 9 O- X5 M, f2 m4 L, Y
Hierarchical classification, 组内分组' Y2 R& m/ T# B. z& _! f
Hierarchical clustering method, 系统聚类法3 A' V ?: E. Y2 [- l B- q& ?) b
High-leverage point, 高杠杆率点; n7 h1 X: ` w: o/ O
HILOGLINEAR, 多维列联表的层次对数线性模型
+ F. k8 N0 {1 L3 M8 C6 V; fHinge, 折叶点
$ v1 g1 W2 |: d' L" `Histogram, 直方图; G5 E0 [0 C' }: Q$ {% Y8 o/ [
Historical cohort study, 历史性队列研究 6 B% t( K+ _+ F
Holes, 空洞
% L3 Q+ d) o8 T, n ?5 Z( g/ MHOMALS, 多重响应分析' i9 B9 [% M' }# ?! D; I, \$ e
Homogeneity of variance, 方差齐性; z/ |' O8 I3 J8 X) e0 v" {
Homogeneity test, 齐性检验' b8 Q2 u$ f7 c; A+ `( K
Huber M-estimators, 休伯M估计量! W* B3 D2 A2 |1 f* F, P r
Hyperbola, 双曲线
5 _) h; T& @- z$ h& eHypothesis testing, 假设检验
, J& ^: m, p) g& H2 KHypothetical universe, 假设总体9 e4 C6 l" m* r/ r! } K. X
Impossible event, 不可能事件
8 L/ c0 Z7 p6 F4 b" h1 RIndependence, 独立性
! d* r- L+ L; C7 W9 q$ |; dIndependent variable, 自变量+ ~6 b! B: q1 J* p8 @6 u( C1 q
Index, 指标/指数
s( Z" ?$ U0 E7 G5 a4 LIndirect standardization, 间接标准化法
* Z9 `5 {+ `* @1 G( n* \6 ^% ^Individual, 个体6 Y% y+ O7 s8 @
Inference band, 推断带
: \# q% b: k: ]4 c5 {3 C/ NInfinite population, 无限总体/ } c$ d: r! y- d, |2 j
Infinitely great, 无穷大
/ K) B$ t, _0 ~7 E. PInfinitely small, 无穷小% R4 x* h" ]8 d$ M
Influence curve, 影响曲线0 [, R: P6 y u2 J d
Information capacity, 信息容量
5 `* W: l3 p6 U4 {; @4 i( pInitial condition, 初始条件: K7 Q M) H8 V g, o
Initial estimate, 初始估计值6 G. z$ c$ Z# [! L) F0 r8 a2 I
Initial level, 最初水平
, i2 d6 o7 D) rInteraction, 交互作用9 H, T- c! G# v$ v* d4 ^! [9 e
Interaction terms, 交互作用项3 y/ w: |+ ~- n! S8 u$ U
Intercept, 截距3 F7 o8 J& ]* J
Interpolation, 内插法
- _# T% n, {4 {; W- }, f; EInterquartile range, 四分位距
' A9 u2 B) n7 c' b( M# n6 O/ RInterval estimation, 区间估计
* x/ n Q6 H/ VIntervals of equal probability, 等概率区间
6 m s1 K' _) W0 ~Intrinsic curvature, 固有曲率; o9 D C: \" C' m! u V/ S; F
Invariance, 不变性
0 R- f! o& ]/ k8 KInverse matrix, 逆矩阵
2 N Z7 | P" x9 Q" K, ]1 cInverse probability, 逆概率. C7 G% m+ \: p" _6 l9 L- x" ?
Inverse sine transformation, 反正弦变换/ ~' h. s$ t1 m: E
Iteration, 迭代 * H* a2 E! T8 K- d3 h- F- x
Jacobian determinant, 雅可比行列式
/ `! `! |9 D0 i$ [Joint distribution function, 分布函数
, L- I( k# C4 MJoint probability, 联合概率& k( f9 i! L' Y7 N! r
Joint probability distribution, 联合概率分布
1 ^) p0 E$ O5 l: R6 v( dK means method, 逐步聚类法
* I" n! S4 f2 [. @Kaplan-Meier, 评估事件的时间长度
`4 l K0 J& ~Kaplan-Merier chart, Kaplan-Merier图
% o6 c% C5 z- i4 t4 U \ HKendall's rank correlation, Kendall等级相关
6 O% y4 h. |9 f% Q' |& Y" F& L1 R% SKinetic, 动力学( [$ ], x8 x+ I8 Z, h3 p
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验4 b- H: u; m( h+ X5 P4 O/ `; k
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验. p) q3 @ l& |7 `0 O9 Q$ s3 ^" F
Kurtosis, 峰度. e% I5 q9 Q9 y! K$ j; F8 U
Lack of fit, 失拟& c0 \# S. v: L- a2 G
Ladder of powers, 幂阶梯 [6 Y8 H1 d; t0 z/ R, s$ Y2 s% H
Lag, 滞后
5 C6 ^. t3 p4 n# O( @6 KLarge sample, 大样本
% A* P7 z7 q. | ^- E m7 _Large sample test, 大样本检验
& q. P! c8 }) K0 m1 N; {- bLatin square, 拉丁方
6 j. y. D- m0 K1 _7 }; kLatin square design, 拉丁方设计! j, i! r9 O) A
Leakage, 泄漏. B: k1 \: m# l
Least favorable configuration, 最不利构形. m3 a$ X+ i0 k- f" Q
Least favorable distribution, 最不利分布0 d' g) _$ c5 Z1 F) i. s q
Least significant difference, 最小显著差法/ R7 H% d0 e$ f8 ^
Least square method, 最小二乘法
7 a4 t0 _- C+ q1 y6 jLeast-absolute-residuals estimates, 最小绝对残差估计/ T: H$ `; Y0 x# N
Least-absolute-residuals fit, 最小绝对残差拟合
- l9 t- q* p( E& R/ y, PLeast-absolute-residuals line, 最小绝对残差线
* Q; l, b$ J2 g" W+ _Legend, 图例* q/ m' i! ?) w6 ~* U
L-estimator, L估计量
( c& S; h0 G: Q. G6 f! A" q! w& eL-estimator of location, 位置L估计量( O' J' }* J. I' `3 a s2 I2 e
L-estimator of scale, 尺度L估计量
* b* f8 v" W" F' f1 k) k+ WLevel, 水平; m3 ^( ]+ d4 a" y' h: {1 X
Life expectance, 预期期望寿命
9 O- k' }- }3 N) L9 ^; NLife table, 寿命表 y% Y# n8 U) @" o
Life table method, 生命表法2 p% _; ]1 n4 v9 ]2 B
Light-tailed distribution, 轻尾分布& U$ \& V6 |5 a7 S5 z
Likelihood function, 似然函数9 N( c' g: y( c5 `( T6 K
Likelihood ratio, 似然比) ]- t' H4 ^& T( ?- ^: ~% p, C
line graph, 线图
2 D5 s' Z8 o' K6 X. r( Z8 J0 l9 f JLinear correlation, 直线相关: v/ n: X) O' B. h2 B: x' L
Linear equation, 线性方程
. l3 r p+ g7 B6 @, S6 ~Linear programming, 线性规划
4 F2 J: j4 s, \5 R. w) QLinear regression, 直线回归
0 w) H6 r. W% N0 ~+ S' u8 I+ D9 XLinear Regression, 线性回归8 W4 K# v2 |+ s! T2 Q" I
Linear trend, 线性趋势6 Y$ h; j. x8 s% G. i
Loading, 载荷 1 Y3 `3 Y2 a# x! t
Location and scale equivariance, 位置尺度同变性
W- l6 I) X) i+ fLocation equivariance, 位置同变性- f8 u1 h9 @7 \* S6 W, h7 L
Location invariance, 位置不变性
7 B s+ j# Y4 K: JLocation scale family, 位置尺度族
$ @1 J2 f( w; L2 o, M( M$ sLog rank test, 时序检验 7 D9 k0 E; K, O8 H- q
Logarithmic curve, 对数曲线$ X( v+ f w( @- b; e4 o
Logarithmic normal distribution, 对数正态分布, s5 |% O9 D, n3 K0 ]2 @
Logarithmic scale, 对数尺度
! x, T+ m9 T# [: H/ iLogarithmic transformation, 对数变换
P5 ^# A5 e* MLogic check, 逻辑检查6 ? R5 C' `) Z) N# H: W/ H% O
Logistic distribution, 逻辑斯特分布
0 Y" l% f1 y" b7 z2 y( X4 oLogit transformation, Logit转换
: f" t, `( s4 ]4 u4 L7 ]: L/ cLOGLINEAR, 多维列联表通用模型
2 A' s0 g1 |) w4 W) o: DLognormal distribution, 对数正态分布
0 U$ A5 l$ |0 h9 U% FLost function, 损失函数( H5 n, w3 H( ?5 M# s
Low correlation, 低度相关
4 r% G2 ~& Y: X2 K& q7 G9 h$ QLower limit, 下限
4 |0 D2 e% m% v- K* X0 ~& T$ F7 q3 E, I9 ]Lowest-attained variance, 最小可达方差2 H; F$ {% |' Y5 q5 r" ^
LSD, 最小显著差法的简称; T6 S4 [9 ~/ }0 F, U+ x5 e
Lurking variable, 潜在变量, B% h7 H$ z' |
Main effect, 主效应
# m0 [/ w. r1 D& o5 N1 X8 R* h/ k8 RMajor heading, 主辞标目* w: w$ ^6 z. m6 a2 J
Marginal density function, 边缘密度函数
1 c& N+ _: ^% ZMarginal probability, 边缘概率/ r% \9 x2 ?: L! y) D2 ~% b
Marginal probability distribution, 边缘概率分布+ Z1 E' ~9 E# V, M. X$ G/ W
Matched data, 配对资料: d, C9 q1 K' h/ e; }0 H/ q0 n
Matched distribution, 匹配过分布
* p% z' g S# A' {8 c$ F7 Y4 MMatching of distribution, 分布的匹配
0 D4 W, C; r/ N7 Z5 _/ M2 K7 uMatching of transformation, 变换的匹配: v9 ~( J# {3 k& Y2 \ @7 x
Mathematical expectation, 数学期望
$ D* l; ?8 ]4 k0 j" X" rMathematical model, 数学模型+ [( Z6 G+ y A% `
Maximum L-estimator, 极大极小L 估计量; k5 n) _; D, p* Z- H7 T3 A! y
Maximum likelihood method, 最大似然法
1 U+ o) |4 V# `# i6 H# L/ A9 @Mean, 均数! g& u+ [4 |1 D
Mean squares between groups, 组间均方
6 \ I2 F5 J. p* C: N$ QMean squares within group, 组内均方
% p$ |6 S! i* O6 P" D) P9 ?& CMeans (Compare means), 均值-均值比较; g; [3 i2 Z/ w, i" e8 Y1 F
Median, 中位数
* k1 p) }" S$ b; `# P. gMedian effective dose, 半数效量& g1 n7 @+ N* p# d/ D. o3 o' E( E
Median lethal dose, 半数致死量! d' ~- A M+ l0 ?% n3 |
Median polish, 中位数平滑8 H n) k/ | R0 \0 ?
Median test, 中位数检验
( G) f9 d9 A9 h4 YMinimal sufficient statistic, 最小充分统计量7 n* m% J! u& h, a) t: R
Minimum distance estimation, 最小距离估计9 K/ |% z' @8 C3 U, i( Q
Minimum effective dose, 最小有效量
* B! b. n2 _# H1 C" }4 q7 XMinimum lethal dose, 最小致死量: N% C! S" Y/ B2 x
Minimum variance estimator, 最小方差估计量# I+ U2 }! n6 b+ |& S1 M. c
MINITAB, 统计软件包
% e) A! o& G* l1 n/ X* ^8 mMinor heading, 宾词标目+ C; V! _2 b1 S- V. ~; x' \+ _1 v0 T
Missing data, 缺失值7 r. O* K$ u7 ?- M# Y& H+ o
Model specification, 模型的确定% H9 |0 J4 u; j# v" p6 S2 m
Modeling Statistics , 模型统计
. X! b' a9 y5 C7 sModels for outliers, 离群值模型0 x4 |; d$ u! b4 n% H; u
Modifying the model, 模型的修正9 v' X( y, |. L8 ]
Modulus of continuity, 连续性模4 V0 ]: d5 Q: U$ U) Q- K% G: T- k
Morbidity, 发病率
2 v! T/ o* U% C, m' t; OMost favorable configuration, 最有利构形
$ W% S0 G; ~1 `, H$ F8 mMultidimensional Scaling (ASCAL), 多维尺度/多维标度
0 X% g5 l+ o; `5 c, A E( lMultinomial Logistic Regression , 多项逻辑斯蒂回归
8 {! C9 b7 E6 b9 `0 cMultiple comparison, 多重比较
8 t9 [# h6 S1 b: ]) F% A5 j# cMultiple correlation , 复相关) R3 w/ E0 p% e% O2 W# g: e
Multiple covariance, 多元协方差& V7 f5 @/ m1 |; t# E; z/ T5 F9 \" l
Multiple linear regression, 多元线性回归
9 L6 f; I; k! q6 M% j/ _% E0 ~Multiple response , 多重选项1 M+ J4 h/ n3 W
Multiple solutions, 多解
% C7 W$ r0 N/ `2 k' UMultiplication theorem, 乘法定理" X V4 d4 `* e9 r0 a0 v
Multiresponse, 多元响应+ k6 t v. h, Y; R+ r
Multi-stage sampling, 多阶段抽样! ~9 L2 n1 [# P8 N3 v- M/ J2 {. S
Multivariate T distribution, 多元T分布
0 O+ {" I. e1 B bMutual exclusive, 互不相容* C/ A; p# @9 _! [0 D7 a# q2 N
Mutual independence, 互相独立5 }2 t( f5 H" e# t! M" R7 B: B7 C
Natural boundary, 自然边界
9 ?5 [; ^. S5 o8 P) tNatural dead, 自然死亡* |/ E- ]0 T+ T2 z; |
Natural zero, 自然零3 b8 W$ j! T* g* ^4 y" V. l2 Q
Negative correlation, 负相关/ _1 D* K* b+ g% u8 S# B
Negative linear correlation, 负线性相关
0 F5 F7 C! Z) b3 RNegatively skewed, 负偏
" R6 W+ g0 ]. \ s! N& M' B$ D: DNewman-Keuls method, q检验
2 G- u9 I; y* i( O* t0 S* fNK method, q检验4 W3 ]% U5 B; C3 F1 X7 I+ r
No statistical significance, 无统计意义 l- V( |2 I2 L' \+ q* b9 Z8 y0 N
Nominal variable, 名义变量
; P4 x& L) W7 s3 dNonconstancy of variability, 变异的非定常性
- R5 Y- A0 \, `/ }: O8 tNonlinear regression, 非线性相关
# ], k5 b6 d( Q$ c+ \: |Nonparametric statistics, 非参数统计
" }, X! z J6 P6 WNonparametric test, 非参数检验 `3 j% L- O( [. \! k
Nonparametric tests, 非参数检验3 W: C6 g6 I( D& r
Normal deviate, 正态离差
1 h3 I% J% S5 CNormal distribution, 正态分布
7 [# E7 o1 A: t( F9 u7 xNormal equation, 正规方程组
& A! t: }1 p1 |8 _3 `( X. z PNormal ranges, 正常范围
T) E+ @3 J# T7 T+ ^1 ?7 BNormal value, 正常值+ p" o. i8 J; `* q v
Nuisance parameter, 多余参数/讨厌参数
P' z! ^, M0 q9 E2 |Null hypothesis, 无效假设 4 p+ p' p- E; ~" e! N/ K- |: y
Numerical variable, 数值变量
' i4 Z0 c2 s; `+ C7 K0 _Objective function, 目标函数( [8 I. z& W7 ^% q& \8 w5 H
Observation unit, 观察单位+ ?- `' a$ R+ c3 K3 @; d
Observed value, 观察值
4 H' M/ _# b& R6 A# W9 E8 ^One sided test, 单侧检验
+ U6 }9 j5 ^; l, gOne-way analysis of variance, 单因素方差分析
; _/ r1 W2 e% a+ H2 r1 M6 lOneway ANOVA , 单因素方差分析. _% o0 @) I, O
Open sequential trial, 开放型序贯设计
@# w1 w. ]- m" u3 a2 WOptrim, 优切尾* ?( I0 `7 G$ W4 f* ]6 {
Optrim efficiency, 优切尾效率 K n% g! O- t1 |: F& v2 ?: U9 v
Order statistics, 顺序统计量( p% Y+ z2 b% F! |8 g
Ordered categories, 有序分类4 i' t0 P% x$ L! V3 O
Ordinal logistic regression , 序数逻辑斯蒂回归
7 c6 v3 ?/ n: Y; I$ D0 bOrdinal variable, 有序变量6 l# s/ h _0 ]4 @- V: D6 B' H D$ L
Orthogonal basis, 正交基
& g2 H% \0 x/ o) w, {% e4 `Orthogonal design, 正交试验设计! p- }6 O9 u8 h! `' Z( E
Orthogonality conditions, 正交条件
9 _6 T3 E% L. P* Y! K+ rORTHOPLAN, 正交设计 9 f' J, y- M- t- }
Outlier cutoffs, 离群值截断点5 X Z( E$ l9 Q) C; r
Outliers, 极端值( L) V, ~) i" Y, @, s4 @
OVERALS , 多组变量的非线性正规相关 ( W7 s9 v! m5 G. L4 }4 u `
Overshoot, 迭代过度9 E- V. i1 f. {" L( o
Paired design, 配对设计
2 q1 ?( l6 T, ~5 J' O5 cPaired sample, 配对样本
" Z' b, ?) G4 UPairwise slopes, 成对斜率1 b/ r& Z* Y; g- v0 k" x. q
Parabola, 抛物线
3 L9 R* n2 s, I9 Z9 A/ O) q$ UParallel tests, 平行试验
' z* s/ @3 E, L, xParameter, 参数1 _9 S6 w* |: E5 ^
Parametric statistics, 参数统计
2 K( V% I$ i4 M. lParametric test, 参数检验0 z y* y( A$ t
Partial correlation, 偏相关6 k6 x4 z+ A. W$ h& S3 T
Partial regression, 偏回归3 o. s+ x- ?1 o% J) O
Partial sorting, 偏排序
: @1 q |3 C" w" {+ mPartials residuals, 偏残差* e" [7 Z+ y4 Z% g2 S
Pattern, 模式
( n* Y/ s7 G* r# X( fPearson curves, 皮尔逊曲线
0 S5 D; X! x3 G" {( L% O0 A+ mPeeling, 退层; H) }6 m2 C, a4 b4 ]
Percent bar graph, 百分条形图5 C3 i U+ A8 F# D7 `9 {
Percentage, 百分比8 ?/ c* F( {6 O0 A$ d
Percentile, 百分位数- J" _4 L; W7 Z
Percentile curves, 百分位曲线( Y0 _ l* W8 k+ `/ x! R" Q$ _3 }7 ~. i) K
Periodicity, 周期性
5 v( J) z7 a* x7 y6 M8 @- l- K' E3 ?Permutation, 排列* f# c7 }5 `) m7 ?2 [/ ~) e
P-estimator, P估计量+ f' R' {2 ~7 g3 t
Pie graph, 饼图
; _+ ]. P9 n6 O [% B- _& ]& zPitman estimator, 皮特曼估计量6 q; t2 }2 u g; |# l" `9 r
Pivot, 枢轴量& Z/ t( p/ U% H. e6 g% K
Planar, 平坦
1 Y) Q6 i5 X6 H( ^4 G' c; m9 LPlanar assumption, 平面的假设6 T) {2 Q" R4 R4 w' @
PLANCARDS, 生成试验的计划卡3 j0 o* Y2 J" D
Point estimation, 点估计5 g7 m9 _' ~9 y' u b- D% P
Poisson distribution, 泊松分布1 p& ]8 ^7 o) p- l9 s, u, V% f% s
Polishing, 平滑+ P! L# `% `) F) w8 L
Polled standard deviation, 合并标准差( E8 m, H! Z7 k5 u& l$ L, m) ^/ e
Polled variance, 合并方差$ t0 n6 ^( a1 c+ V& P
Polygon, 多边图
! K7 e9 |3 R' S6 v( L% [5 {Polynomial, 多项式
% ~" N( ]+ q+ L9 _# gPolynomial curve, 多项式曲线
6 w5 E3 Y9 E" J9 p1 p3 m. W2 n+ |Population, 总体
- F. k, {% g+ l4 [9 JPopulation attributable risk, 人群归因危险度. g$ r) ?# ^3 P& @' U- x$ s
Positive correlation, 正相关 O% r7 ?; l, J2 @3 i1 g$ o' Z
Positively skewed, 正偏, t+ J, B v% q J
Posterior distribution, 后验分布
- B5 q) Z9 \9 U5 k. Q* d6 E, ]4 p+ @9 [, QPower of a test, 检验效能0 }4 f8 n6 G4 d' `, W6 e1 \
Precision, 精密度1 l W' Q' _2 y# x
Predicted value, 预测值3 X: P& c# q- Q" h. ]
Preliminary analysis, 预备性分析
" p! {5 {6 u5 Z9 |. h& k' wPrincipal component analysis, 主成分分析% q0 a6 a9 G0 Q7 b, j1 r5 A( A, i
Prior distribution, 先验分布
! c" u# u0 o! R& A; GPrior probability, 先验概率
5 i% u- A( E' {6 X6 C. s1 H. PProbabilistic model, 概率模型 {( l+ ?" `- T8 j$ _0 D* C
probability, 概率# c3 l; D9 P; \# e: \) n8 i" ^2 ~
Probability density, 概率密度
& X; z3 _$ x* H jProduct moment, 乘积矩/协方差' |8 [8 c1 p9 e- h
Profile trace, 截面迹图
6 A; t% g+ L+ u$ J# n' tProportion, 比/构成比
2 a4 [3 p( F% H; f7 Z9 wProportion allocation in stratified random sampling, 按比例分层随机抽样
; z" K4 t2 k1 i% t6 ]# gProportionate, 成比例
0 F) q& s' H0 ^ W: YProportionate sub-class numbers, 成比例次级组含量/ d* k( ~: o/ @: C7 Y) L% A. ` d. N
Prospective study, 前瞻性调查" s1 j9 ]0 t; U* v, [; M8 b; a
Proximities, 亲近性
5 @9 z' t! @4 k1 B8 uPseudo F test, 近似F检验
0 s3 ?3 Z; j! o! I6 dPseudo model, 近似模型
2 b5 K/ ^( t ~: x4 J# H* V' t% U! LPseudosigma, 伪标准差" b) e- T: [7 o1 V+ D# C% L
Purposive sampling, 有目的抽样' a9 h; M/ a$ Z2 L1 c# K9 @
QR decomposition, QR分解# }' `# M- q R/ K
Quadratic approximation, 二次近似
$ U: V8 V, \( \) o! }3 kQualitative classification, 属性分类+ E2 V: D: y; k: S; B: G
Qualitative method, 定性方法5 S+ M9 d2 b( k' c% t$ a6 u
Quantile-quantile plot, 分位数-分位数图/Q-Q图, a# W3 A6 P z* A
Quantitative analysis, 定量分析
( f3 T. h" {+ s8 ?4 T" @$ wQuartile, 四分位数
0 _% t1 H r- K7 P3 G/ ]Quick Cluster, 快速聚类; A" h$ N3 Q- L( K9 A, o% M" A/ S
Radix sort, 基数排序
- e0 p0 j* A5 h5 t- K3 B4 cRandom allocation, 随机化分组# M1 T( E* D2 ^( T( ~/ j. ^9 V
Random blocks design, 随机区组设计
8 b/ d- N, B1 M2 ?Random event, 随机事件3 ^4 F/ N7 ]: R, u
Randomization, 随机化( Y' c& A0 W$ s, x% h/ y7 W9 K! F3 L
Range, 极差/全距1 X2 w; g$ |" i( g! `- X6 g
Rank correlation, 等级相关+ t" F, I& r1 x' e6 f) a
Rank sum test, 秩和检验7 s# I; [( K/ F1 ^. V6 P. e$ a
Rank test, 秩检验" X. b: C1 ^# J! U
Ranked data, 等级资料
% s* Q' x( l* o( sRate, 比率
2 Q6 p% y7 @5 z5 Y9 i; qRatio, 比例
" [7 W" b: v& F! r" p0 MRaw data, 原始资料- [4 P9 V6 y, s/ k. q, v
Raw residual, 原始残差
; ?" ~" x9 N9 u. {+ H9 SRayleigh's test, 雷氏检验
5 L0 h: k9 c( k0 {* O1 NRayleigh's Z, 雷氏Z值 & w x) O; h# U! U: G# A
Reciprocal, 倒数
, R: ~, W+ X9 Z8 yReciprocal transformation, 倒数变换
* Q- N! M+ f+ N" gRecording, 记录
& O5 n5 V$ g4 ?1 hRedescending estimators, 回降估计量2 o( G: m8 e% P0 y$ i* u
Reducing dimensions, 降维9 f2 ]. R5 |( b
Re-expression, 重新表达: a( h1 {3 u& C `
Reference set, 标准组
- P/ p: o/ F. V0 d+ D& z( cRegion of acceptance, 接受域
! @# O- ]$ A" j: U- U( y: W7 ~Regression coefficient, 回归系数8 t, S$ M( O; p- w; n
Regression sum of square, 回归平方和
* r: j% ?0 k( i8 S, VRejection point, 拒绝点
7 o' j1 \6 t1 K, F1 ?Relative dispersion, 相对离散度1 c* L0 P9 I9 f1 b# {: X' S! w
Relative number, 相对数
2 V* c. X# R* D7 [1 @8 Z& HReliability, 可靠性# H! L/ {( ?; [! M3 ]
Reparametrization, 重新设置参数
: K- u" P0 L5 [6 WReplication, 重复# u4 |! t$ n* }+ G! D
Report Summaries, 报告摘要# P9 Q1 m- ], y. q/ S) f1 H
Residual sum of square, 剩余平方和$ c( V# X. @ N) n% V" U3 N
Resistance, 耐抗性) h6 h' f) F- P
Resistant line, 耐抗线
) D8 n/ t8 F8 o# YResistant technique, 耐抗技术
2 ]$ }. A9 x: [8 d. m7 gR-estimator of location, 位置R估计量
- ^6 w C: E( x& z& A. J9 NR-estimator of scale, 尺度R估计量' q) J, c1 D7 x0 n3 z$ g9 `
Retrospective study, 回顾性调查8 w: [- \! C7 d6 p/ h9 a, I% R
Ridge trace, 岭迹
) a G; U& F0 d" X* }% p9 E0 X7 p$ ERidit analysis, Ridit分析
& c3 |8 ?6 A: S1 ^$ ARotation, 旋转9 \0 U' E6 z" n; M! f5 S- T0 K
Rounding, 舍入* c8 f) g! X2 ?% e! i1 N6 `- q5 I
Row, 行9 s4 S) {) J: t" u
Row effects, 行效应( _4 i/ h1 _) j9 c$ P
Row factor, 行因素/ n: O$ z/ c! U. `4 [$ f
RXC table, RXC表" t$ y5 n2 d6 s7 t# u# P3 Q# y; _
Sample, 样本
7 C$ u5 }. D& l4 _. Z8 X7 YSample regression coefficient, 样本回归系数
7 Q6 p; Z# I- t: [9 A+ n! y0 D; cSample size, 样本量
3 |2 Y, }1 c# ISample standard deviation, 样本标准差: p& `( n/ i' Y' N+ Z h/ l5 v4 g# `
Sampling error, 抽样误差! Y5 l T: g3 R8 V) ]
SAS(Statistical analysis system ), SAS统计软件包5 ~- o2 q! N5 p; H8 Z9 s6 _4 a! t' P
Scale, 尺度/量表
" @& U. T8 d- Z& h+ PScatter diagram, 散点图
: `+ T- j( f8 X4 {Schematic plot, 示意图/简图
9 S8 Q+ y, Q# C9 u3 L! O! ?+ J" N+ CScore test, 计分检验
. |. q: a0 M& Q5 ~Screening, 筛检
* L- U1 J- ]! a- @( M, i8 v, [" Q1 YSEASON, 季节分析
5 y# u' j' s" U% M) E3 e5 i4 E; MSecond derivative, 二阶导数: N" z: ]. E& p6 P4 X0 Y2 R
Second principal component, 第二主成分
2 s6 W* X% U: q: A) t+ aSEM (Structural equation modeling), 结构化方程模型 # y! s( F. M. ?1 ~0 j' _9 @
Semi-logarithmic graph, 半对数图9 l% N8 H5 W0 r. r0 i2 {
Semi-logarithmic paper, 半对数格纸
3 d" ], Y! h9 c3 Z( ]' V6 x* f! pSensitivity curve, 敏感度曲线- x, ^+ p, G# @# ~4 N9 A) U1 A
Sequential analysis, 贯序分析
% o/ q u$ i+ O1 m' rSequential data set, 顺序数据集1 y1 ^$ ]) ]- O
Sequential design, 贯序设计
1 ]3 [* T& Z6 q: Y' \; NSequential method, 贯序法
/ L1 e( ^& }7 e+ }- b. B' j/ TSequential test, 贯序检验法: s8 m+ D; [ s5 P) H# Y' o
Serial tests, 系列试验
# C J9 i& i/ X% FShort-cut method, 简捷法
1 b3 o) o2 T+ ?6 H" vSigmoid curve, S形曲线
( h7 M0 A: I* V9 e2 s& w/ DSign function, 正负号函数
2 R. W1 B/ l" nSign test, 符号检验: i: T0 A; a) K9 \$ J# ?4 j
Signed rank, 符号秩
: _3 r! d: e0 `; Q; kSignificance test, 显著性检验6 Z+ j2 G& [& ~" n& c" [& R
Significant figure, 有效数字
- c1 I, ?- C6 w. k$ M6 c8 |Simple cluster sampling, 简单整群抽样
$ v9 o2 `3 i. G0 ]Simple correlation, 简单相关& f8 L* I" N0 P; ]4 x
Simple random sampling, 简单随机抽样
$ m$ x" Q. j3 }0 O6 K' lSimple regression, 简单回归+ E; ~# t5 O$ G9 r
simple table, 简单表
% l# {1 |" i. ^Sine estimator, 正弦估计量
/ J5 y* _* r" LSingle-valued estimate, 单值估计) e2 u9 e. K! G0 r R! L
Singular matrix, 奇异矩阵) L3 v4 o6 w2 J
Skewed distribution, 偏斜分布 I S8 O! g- N$ Z* q
Skewness, 偏度
! x+ C" _3 Z8 |2 P7 ASlash distribution, 斜线分布3 } J2 D2 w! `- v( O. P
Slope, 斜率8 l# D9 I2 Q f! a$ v8 b
Smirnov test, 斯米尔诺夫检验0 ~) u$ o; l! u. g' a* q- D, [5 E
Source of variation, 变异来源
. o" k4 b( U5 `) `9 w" W8 O7 }9 p! MSpearman rank correlation, 斯皮尔曼等级相关, J% H4 U' I. N
Specific factor, 特殊因子
! f; x5 z7 e$ @ |# sSpecific factor variance, 特殊因子方差
. I2 N& J: X: E+ W# J; QSpectra , 频谱
: m+ }5 Y; L3 }* X3 ySpherical distribution, 球型正态分布
* C+ A1 t7 T L" w. h8 D7 OSpread, 展布
( h. L3 O3 F. A/ v L7 W3 I. R: Q% jSPSS(Statistical package for the social science), SPSS统计软件包% w7 R3 ^' t* M$ z% T4 ?
Spurious correlation, 假性相关; [# j/ X- `* H; D
Square root transformation, 平方根变换& e( S6 s) }( o
Stabilizing variance, 稳定方差
, m$ T# ]2 O0 K( d6 D, BStandard deviation, 标准差1 m6 K1 q- V( I- Y0 z
Standard error, 标准误
; `! @1 @* e( @' V( X! k9 VStandard error of difference, 差别的标准误. h$ _3 f* g( ^1 z5 x+ g7 ~3 T
Standard error of estimate, 标准估计误差
) y, m0 ?" c0 l$ J; B: c6 j, Z- H% eStandard error of rate, 率的标准误6 W8 I) h- L+ C$ z7 n$ m' x' U# x
Standard normal distribution, 标准正态分布
' _) I1 O- I. x( C( j& \) GStandardization, 标准化# a- ^9 \: ?" a! y5 S% L
Starting value, 起始值- f/ G0 l! x6 ^ ?- u
Statistic, 统计量" [, F' T$ i7 |6 F
Statistical control, 统计控制
9 @( _& n; k* J& s: C. g" D! \Statistical graph, 统计图, ?$ ^; h5 H1 r- ~3 d
Statistical inference, 统计推断& _& b, o) l+ j2 j' a2 C; d
Statistical table, 统计表% I. {# p. h! i1 |+ A+ X5 {2 _
Steepest descent, 最速下降法
; g/ _$ u4 q( |6 l/ s$ g& l% zStem and leaf display, 茎叶图
4 T+ S# N* P' I5 Y- I: ]0 UStep factor, 步长因子1 C" C, D0 f _7 \% x7 H& d
Stepwise regression, 逐步回归
D, H+ `% ~% m' RStorage, 存
) [- w' {# u) U, O uStrata, 层（复数）
; p1 |7 ~5 ~8 x3 _8 YStratified sampling, 分层抽样1 Q6 ^6 k5 t" ?( D% O
Stratified sampling, 分层抽样
% Z+ T' z" y9 m9 T: QStrength, 强度& V- B6 m& W* B2 l4 ^
Stringency, 严密性
8 A" j j! e8 b+ u: j; q# P. P# t8 UStructural relationship, 结构关系! e7 V9 l ~+ G3 C0 q+ I" P2 `$ S
Studentized residual, 学生化残差/t化残差. d% l/ a1 }; Q1 U2 {" e8 z o
Sub-class numbers, 次级组含量
4 K% E9 z0 c, ~, t3 }Subdividing, 分割/ ?& ~7 t! K, Z* F
Sufficient statistic, 充分统计量, I9 ]1 m# m8 N: d8 t
Sum of products, 积和0 A5 \ ?1 i2 e7 i/ X* i
Sum of squares, 离差平方和
5 c- ^) f* w3 ~. X5 ` DSum of squares about regression, 回归平方和9 ?& a8 r" k8 ?4 v
Sum of squares between groups, 组间平方和
* k; h) Z7 `$ {- Y$ F& tSum of squares of partial regression, 偏回归平方和5 G4 o% C+ k. x
Sure event, 必然事件% d2 p! T! F) r* Q/ {
Survey, 调查$ `6 y. f7 Z( u; U2 q
Survival, 生存分析
" b5 V. W4 g; t$ t0 ]+ nSurvival rate, 生存率- j9 {+ L* X+ F; L5 t. a% s- d5 V
Suspended root gram, 悬吊根图
' U$ U1 L7 z. pSymmetry, 对称
. N9 T; @0 l# m) }, w: x# mSystematic error, 系统误差0 O( \1 i# E c* [3 W
Systematic sampling, 系统抽样9 v$ d, R- i, {# w+ w$ z( }- c
Tags, 标签
# n! _/ f& `) P; ^ a+ I% ? {Tail area, 尾部面积
- O$ `# D4 ~0 [5 R, V. rTail length, 尾长% p% t2 y4 Y2 V. ?
Tail weight, 尾重* x3 H2 d) O3 t0 m" n" c9 y
Tangent line, 切线: Y4 V* P; u+ h; c! s. o
Target distribution, 目标分布
, A( X A8 i0 RTaylor series, 泰勒级数
' c+ w% I0 Y0 a6 R5 R+ TTendency of dispersion, 离散趋势6 a# H3 k ], b+ P
Testing of hypotheses, 假设检验
& z! b. K6 e# a: ? z& K1 lTheoretical frequency, 理论频数
3 L" s7 b( Y+ G5 ?) C8 ?. ^Time series, 时间序列+ x( {" L) d. p5 P" G: ~9 H, V% ]+ J4 w
Tolerance interval, 容忍区间 B$ v' z. ~8 s* a f
Tolerance lower limit, 容忍下限
3 e8 t8 p* Z# \ A4 c' U# hTolerance upper limit, 容忍上限; t% Z* S+ k! t& R6 A
Torsion, 扰率5 |$ T1 ^5 A, K b
Total sum of square, 总平方和
' W' k x. L1 l$ N% q& ?Total variation, 总变异$ {3 N. k: ~$ v+ e# o& y
Transformation, 转换0 n. ~% v9 J& D4 p
Treatment, 处理3 C u# o6 F0 h L8 Y( M! H
Trend, 趋势
. C; c; r" ]% O7 X% J( nTrend of percentage, 百分比趋势; o" K* U5 R' y C U. V& f
Trial, 试验
+ x1 k& D5 A$ lTrial and error method, 试错法
, g5 J4 G6 U% E3 e) DTuning constant, 细调常数
8 i/ L$ E$ N$ h+ l) `! K% i- r/ }Two sided test, 双向检验2 a6 s" i/ T; z0 p" f
Two-stage least squares, 二阶最小平方
8 `- B. w- i0 ~ HTwo-stage sampling, 二阶段抽样
% A7 S3 e" P, _8 c: Z* i; `Two-tailed test, 双侧检验
/ X1 V4 A& y9 P( t8 i: o6 d: M) h3 L$ oTwo-way analysis of variance, 双因素方差分析
4 p- w+ d4 t2 A( f7 `Two-way table, 双向表6 L7 n& f3 b S
Type I error, 一类错误/α错误
2 c. d3 w' b+ N+ tType II error, 二类错误/β错误% e0 g2 B8 N9 V8 N) J0 @$ T
UMVU, 方差一致最小无偏估计简称
/ m8 K4 B9 c7 X. V; [7 \Unbiased estimate, 无偏估计
, V) Y, C5 E& Z7 iUnconstrained nonlinear regression , 无约束非线性回归3 ~5 a. T. ]; T+ G) u$ s
Unequal subclass number, 不等次级组含量
8 `7 S$ L7 \- m- \Ungrouped data, 不分组资料$ \6 s! b- K$ f0 L g/ d
Uniform coordinate, 均匀坐标
8 d& Z$ \) A" |) G9 @; gUniform distribution, 均匀分布
9 E `$ L7 p( n# U' N3 tUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
) \" Y4 q5 F' ?Unit, 单元% k/ C& K9 @9 {# A2 @8 J
Unordered categories, 无序分类
: B: \+ J2 C0 ~' ZUpper limit, 上限, g% g% Q1 g4 ~& f R4 ?' K5 {+ U
Upward rank, 升秩$ v9 n I' R" A9 W( N
Vague concept, 模糊概念
2 `; f6 y7 B# w XValidity, 有效性
# L4 t9 Z8 S2 m, B7 W2 G6 xVARCOMP (Variance component estimation), 方差元素估计
9 q% S7 J3 u F, o6 RVariability, 变异性' }7 l7 O+ w5 @6 \5 }, ~( x
Variable, 变量
3 U! k) w7 z/ z: ~1 ~$ b" UVariance, 方差& l2 c% Q& b: p3 X! [' }1 X' p+ z
Variation, 变异
3 c/ k3 x/ ^4 q0 Z5 @3 B% {Varimax orthogonal rotation, 方差最大正交旋转/ |3 T5 ~$ s6 G" B; h
Volume of distribution, 容积
2 b1 U" w! G7 U5 U+ h2 t; CW test, W检验' o: Y+ n6 K, g& N# p6 W7 h9 p& [
Weibull distribution, 威布尔分布6 {$ q: i* C* n! I0 r6 {7 O- ?) s
Weight, 权数
. e9 l% ^ a0 ]/ z; LWeighted Chi-square test, 加权卡方检验/Cochran检验
# F* S# u9 n4 z$ @Weighted linear regression method, 加权直线回归6 I! H! E# z, T& N7 N, @, T
Weighted mean, 加权平均数3 M7 y N T H! K" X6 c$ l
Weighted mean square, 加权平均方差
3 c! q5 W7 E9 l7 q8 V6 w' x7 T) YWeighted sum of square, 加权平方和
! M+ T& d: Q) A0 b! d) ^Weighting coefficient, 权重系数
# |0 M5 @5 _& f$ n5 |Weighting method, 加权法
6 \1 \2 R5 Z5 \$ z( C# aW-estimation, W估计量
+ Y- u6 c" G4 D; R5 A* MW-estimation of location, 位置W估计量
5 ~' j; K. M" J& E& V3 kWidth, 宽度: ~! I2 N& C: x4 Y
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验8 h3 ?+ A& j. {7 F$ Z- O; {
Wild point, 野点/狂点
$ P0 ?+ ~: @2 w+ PWild value, 野值/狂值
% K2 o* ]* D) A- V; O+ RWinsorized mean, 缩尾均值
# y% e- Z3 |# j: M' QWithdraw, 失访 0 ^1 I5 Q6 Z* Q- r) y, z1 N; J
Youden's index, 尤登指数' _# V ^) ]! r" |$ V
Z test, Z检验+ J$ @- r- R& k6 d/ l4 I e; q
Zero correlation, 零相关, N; r- D/ Z) i" B4 ] H
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
