|
|
Absolute deviation, 绝对离差& ~. Z; q; ~: h3 k' x
Absolute number, 绝对数: U3 i7 _. p N1 F9 q& _5 S- f( L8 D
Absolute residuals, 绝对残差, l0 L" j1 H4 _% c+ n2 `0 x/ l
Acceleration array, 加速度立体阵$ C+ N* V" U, h6 \( V
Acceleration in an arbitrary direction, 任意方向上的加速度
; i, K# ?& T" g9 b1 sAcceleration normal, 法向加速度0 }& s2 Z: C d& t& F" i1 ]/ c
Acceleration space dimension, 加速度空间的维数
; W$ M) v# p9 e( \$ C8 P1 }6 rAcceleration tangential, 切向加速度
# v. t1 F4 R7 r/ FAcceleration vector, 加速度向量
8 N5 p2 t' i q9 P3 }Acceptable hypothesis, 可接受假设. u' U) l/ ^8 ^( e
Accumulation, 累积4 T$ M/ p- f9 M7 L( T
Accuracy, 准确度
* |. N$ O4 ~6 T) U0 h/ q! uActual frequency, 实际频数
& f( F# C0 e! L# U9 C3 mAdaptive estimator, 自适应估计量
! v, j5 N4 Z2 Z0 lAddition, 相加
# M5 I& q; d1 g5 {4 u# VAddition theorem, 加法定理# ^% b) h+ T- l6 h0 D
Additivity, 可加性( g7 d& s' G2 ]. K
Adjusted rate, 调整率
* E7 {* x4 w7 {9 a& wAdjusted value, 校正值( q% a( r- S. A5 h. i3 H8 i# O/ [6 {% c
Admissible error, 容许误差( D3 X5 L6 o! f
Aggregation, 聚集性
, ~) T6 k8 l+ `* lAlternative hypothesis, 备择假设; k0 ^5 h, E- K* \7 G, V1 d- N
Among groups, 组间% \2 Y# m0 ^% {7 C, D
Amounts, 总量
R# o4 S! G6 |Analysis of correlation, 相关分析
* S% @, F. R5 b0 o! ?Analysis of covariance, 协方差分析5 i* x$ D+ K9 M) C0 ~
Analysis of regression, 回归分析5 ]* W% P5 I( o. A3 N- [3 z
Analysis of time series, 时间序列分析
% S0 X+ Q4 y4 r5 s1 N0 {Analysis of variance, 方差分析6 D7 C- ^1 U- c) T! P. F3 i. M
Angular transformation, 角转换5 v! B4 f1 O& n
ANOVA （analysis of variance）, 方差分析2 v ?/ e" K% K
ANOVA Models, 方差分析模型
1 a- U/ `1 ^' H: U1 ?* JArcing, 弧/弧旋- j- B' C7 ]. G2 }, Y
Arcsine transformation, 反正弦变换3 ^' R3 O* G' w h3 z' S2 H3 H
Area under the curve, 曲线面积
7 m5 A8 h, Z5 U" a" i: m- AAREG , 评估从一个时间点到下一个时间点回归相关时的误差 # W5 S3 t% @, \0 J) v0 a9 t' M9 ?
ARIMA, 季节和非季节性单变量模型的极大似然估计 + S; Z9 w3 A% f d0 w
Arithmetic grid paper, 算术格纸
9 {7 B% S! v4 U+ p' JArithmetic mean, 算术平均数" J/ y2 M# @. m
Arrhenius relation, 艾恩尼斯关系0 z1 D4 l* M, _
Assessing fit, 拟合的评估
' q( S+ Z+ @- m5 vAssociative laws, 结合律
( r7 T1 X( `# ^# s1 H. \Asymmetric distribution, 非对称分布2 p* _" K P) S6 s+ W4 j
Asymptotic bias, 渐近偏倚
/ e1 H8 E; u9 LAsymptotic efficiency, 渐近效率
; x. R% C/ c& O* s+ LAsymptotic variance, 渐近方差/ \8 q" V, t2 y1 R8 C
Attributable risk, 归因危险度
- s I+ S/ |: B" y. o5 B: hAttribute data, 属性资料
, ^5 w" @# d. j* K0 B/ AAttribution, 属性* T& z1 [! P9 [9 q
Autocorrelation, 自相关
. ?/ j, B/ I @$ R& C& W' ?. h0 ]Autocorrelation of residuals, 残差的自相关2 \/ i. k' ~, r$ t
Average, 平均数3 D/ [( ?7 }/ z( W8 }- h
Average confidence interval length, 平均置信区间长度
, ~2 V2 H) D7 c7 DAverage growth rate, 平均增长率5 Z8 }5 M+ [* l3 j- { Y
Bar chart, 条形图; l* Z' x) g0 s7 n/ |6 X8 v
Bar graph, 条形图
+ Z, x( X, a( C) e: bBase period, 基期
9 M; z% b1 B' ]7 mBayes' theorem , Bayes定理4 Z4 s, R: N0 p' R+ O
Bell-shaped curve, 钟形曲线* c: ], F3 T5 k- q
Bernoulli distribution, 伯努力分布' }- _& O' J+ Q
Best-trim estimator, 最好切尾估计量
. p) D$ I4 A1 ^- E fBias, 偏性( s( r/ b: J2 J" M1 F
Binary logistic regression, 二元逻辑斯蒂回归
$ Y9 k7 Y0 v3 Y0 R2 ^: cBinomial distribution, 二项分布
) X0 x% [, @0 F2 X2 z9 i. a$ fBisquare, 双平方6 @5 L6 G( S+ N9 F8 G
Bivariate Correlate, 二变量相关
- m& ~/ `: N4 d" G# [Bivariate normal distribution, 双变量正态分布
/ P3 a( N+ a. PBivariate normal population, 双变量正态总体2 t/ w( {2 I% `( t& E% s8 {
Biweight interval, 双权区间1 x( g" j" ?. Y5 n
Biweight M-estimator, 双权M估计量( G! Y$ u' K" }3 N- Z) T. ^
Block, 区组/配伍组! r9 \$ R5 H. _5 \4 Q6 o
BMDP(Biomedical computer programs), BMDP统计软件包& L+ `9 q, b7 V: p
Boxplots, 箱线图/箱尾图; ^/ j: s+ \$ V
Breakdown bound, 崩溃界/崩溃点
- u* `3 k6 ~- @( }# H% `Canonical correlation, 典型相关% c) d2 |8 A' y9 c6 ^8 q9 H9 C
Caption, 纵标目
1 h7 S9 H: d$ ZCase-control study, 病例对照研究
3 C8 z" u& g$ ?% {0 g1 p* d/ ?+ qCategorical variable, 分类变量
& ]. v) X+ P( R4 X5 @Catenary, 悬链线0 D5 ^3 i; @0 `( C B5 \0 ^& ^
Cauchy distribution, 柯西分布, J# D. u. } w9 G% L
Cause-and-effect relationship, 因果关系1 ]! ]2 ^2 X8 {/ z! A3 w; u
Cell, 单元
5 Z/ s% u0 m Z0 ?8 C: H' d1 T6 W3 H5 eCensoring, 终检5 Y! m4 R/ {0 x
Center of symmetry, 对称中心6 W& t! }1 P6 p+ E( i9 L
Centering and scaling, 中心化和定标2 P; I, Z9 V0 a, X
Central tendency, 集中趋势2 G6 y$ L% r1 X: O% U
Central value, 中心值) O3 O/ @, }) D8 G: l- D
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
7 c7 A; W# P" bChance, 机遇
# h6 w: h5 G) n% z$ V9 VChance error, 随机误差
' r# O! t. u/ l YChance variable, 随机变量
& N+ E# q3 |6 j, G) o3 |- O2 \" iCharacteristic equation, 特征方程
! ~% u4 |7 F6 Q6 w' H5 {8 ~# s# |0 ICharacteristic root, 特征根
+ L/ U5 }- e5 N! K' c" d) ^5 LCharacteristic vector, 特征向量& j1 q* p/ s5 v) Q1 R
Chebshev criterion of fit, 拟合的切比雪夫准则 W6 T) F; n8 O0 Z. Z2 q6 w
Chernoff faces, 切尔诺夫脸谱图
$ J7 M/ }8 b7 N( b2 SChi-square test, 卡方检验/χ2检验1 h( [- o0 O3 P4 n( C% e. Z
Choleskey decomposition, 乔洛斯基分解% Y4 ?( T! u1 | U
Circle chart, 圆图
2 V' S& t0 s8 G, T$ o! eClass interval, 组距& P- f3 z; c( P' P: ?* V
Class mid-value, 组中值7 }8 x% j2 O2 A1 E' k: j3 c$ ?
Class upper limit, 组上限
# C6 k' b! Z, Y# nClassified variable, 分类变量6 W4 E7 N, ^5 p- M
Cluster analysis, 聚类分析# ~% s- V [, D E" F1 l' V$ M
Cluster sampling, 整群抽样
8 y+ X) e* R5 z1 _Code, 代码2 p( Q9 Q( B+ s5 W# E* m
Coded data, 编码数据: Z/ e1 V( G( l% k3 I- K
Coding, 编码; X& g$ z r) R1 `* ^* G/ K" G6 C- W
Coefficient of contingency, 列联系数, m* v2 Q. j+ w$ ?& U& G
Coefficient of determination, 决定系数6 s7 ~+ P( Q+ B n
Coefficient of multiple correlation, 多重相关系数. g9 ]+ U1 b( J
Coefficient of partial correlation, 偏相关系数
7 G2 ~& H4 j+ [Coefficient of production-moment correlation, 积差相关系数7 Q4 R" h9 T: r! B- S+ }% C {
Coefficient of rank correlation, 等级相关系数
5 Y2 I5 F$ \# ^% @0 P6 m/ rCoefficient of regression, 回归系数; P/ p$ m4 Z6 W+ }1 E
Coefficient of skewness, 偏度系数 f% r; @0 Z; C1 p$ Q
Coefficient of variation, 变异系数
; u% R9 f8 F6 e3 VCohort study, 队列研究
$ T, K* @) @# [8 O; G" t2 EColumn, 列5 \+ n0 I2 C; S& h7 x6 l
Column effect, 列效应- V2 m/ \5 ?7 `" Q) Q k+ n
Column factor, 列因素
8 D% b" T; H1 Q7 k0 A, K5 k2 aCombination pool, 合并
7 T3 N. b! [7 n' @* X7 J8 TCombinative table, 组合表 `4 y$ r- Z0 K9 F; c0 g+ }& n) P, k
Common factor, 共性因子
0 \, Q+ n$ v$ |) p( a3 q) M, ^Common regression coefficient, 公共回归系数; ^6 R" o6 a, M7 z* J. v7 c
Common value, 共同值
; {- }$ g, K' p; s1 U6 R( @Common variance, 公共方差/ f, ]7 D9 N4 o, Q
Common variation, 公共变异
5 k$ `7 A& T3 ^+ {" }. ?Communality variance, 共性方差% m/ K- H$ t5 y7 X. h
Comparability, 可比性2 b; b2 a, r$ |
Comparison of bathes, 批比较3 m" Y% M+ ^/ Z$ p+ k& |
Comparison value, 比较值
* z; x8 B. ]2 v- P5 r' cCompartment model, 分部模型
5 q; M: l4 E( S# u/ ~* l' [1 fCompassion, 伸缩5 Z) ^! k7 Z# A$ [. m' h0 s2 d4 R
Complement of an event, 补事件# r9 X, h! {9 H9 ?
Complete association, 完全正相关4 ]& x; }. X3 m# W7 p$ E5 v# j
Complete dissociation, 完全不相关
2 a( m! I, k+ J, L9 P& g9 EComplete statistics, 完备统计量, t2 f2 n0 c3 |
Completely randomized design, 完全随机化设计
4 ?" m3 D) y; m+ S x' FComposite event, 联合事件
; ?9 y" k2 q0 mComposite events, 复合事件3 L# R7 B% F2 ~$ {$ H
Concavity, 凹性
. k0 u2 }- V l {- Q. T3 uConditional expectation, 条件期望1 `3 e- O6 _* z9 w& M/ C: g
Conditional likelihood, 条件似然
8 Y2 G" l& M* `) ?) j' L+ `Conditional probability, 条件概率
# y& n6 A8 g/ wConditionally linear, 依条件线性+ N. P, v; ^7 h U# y& ~+ r
Confidence interval, 置信区间# Y" o: L v) B1 c1 \; T
Confidence limit, 置信限4 S3 y% |' K& M0 U3 ?; W8 }" x
Confidence lower limit, 置信下限
$ Z; V0 z' k/ A1 Q! B6 Z8 yConfidence upper limit, 置信上限( x1 N7 |1 e8 n E- f0 e8 K, W
Confirmatory Factor Analysis , 验证性因子分析7 O s& U' Z- b
Confirmatory research, 证实性实验研究
7 x% {2 c' |& m( o0 G( \Confounding factor, 混杂因素
/ Z* k& X9 r! s% C8 [Conjoint, 联合分析
0 y; U. l2 ~7 E Y9 BConsistency, 相合性, h1 R; v: k2 w. C, C3 T
Consistency check, 一致性检验
- T- m* K$ Z6 Z9 r! GConsistent asymptotically normal estimate, 相合渐近正态估计0 t% r* {$ v# h% o( s0 |
Consistent estimate, 相合估计6 D% @6 M* n- R7 a5 w. ]! m7 P
Constrained nonlinear regression, 受约束非线性回归
! e& q' y2 Z; q' nConstraint, 约束
" L$ [. Y5 s$ _+ \Contaminated distribution, 污染分布
6 B) j3 f0 c fContaminated Gausssian, 污染高斯分布
- N) ?" L8 B# C c; J& @Contaminated normal distribution, 污染正态分布% `9 s P) `0 x) l
Contamination, 污染7 w9 ]4 P/ V% J- F! i/ u) r
Contamination model, 污染模型
" |6 m( V. V( H. Z# OContingency table, 列联表
7 e, [' I% H3 ^. u; \Contour, 边界线: Z1 M$ e6 i- @& I% U3 ]
Contribution rate, 贡献率1 C V! M' X L9 b6 _
Control, 对照0 S6 B, e# ?1 N& B# j* {
Controlled experiments, 对照实验: H6 l, j- y% a j q
Conventional depth, 常规深度
L! @$ @9 O' U" JConvolution, 卷积1 D6 Y. v- |7 F7 n8 |
Corrected factor, 校正因子
4 V. ?: I s& s2 m% N, G* R" b4 zCorrected mean, 校正均值
$ u2 X. U' t. I. C; }6 CCorrection coefficient, 校正系数
" i) J6 e8 T5 J4 U( ^Correctness, 正确性$ W* D7 S1 \, d) _8 ~8 {
Correlation coefficient, 相关系数
/ d- \8 p A6 I# oCorrelation index, 相关指数. n1 q0 C0 g$ \4 [/ y7 R
Correspondence, 对应
" i1 W5 Q: k" qCounting, 计数
* g1 P$ o; s r- ECounts, 计数/频数
! x9 p( v! p4 o+ h3 YCovariance, 协方差
3 M8 z4 g+ _8 y* mCovariant, 共变 7 f9 ?& [6 E/ u; p0 L: `9 G5 t" }! Z0 J
Cox Regression, Cox回归. }4 G, }( [+ k/ X
Criteria for fitting, 拟合准则
' U5 {( k. p- H6 ]; BCriteria of least squares, 最小二乘准则1 M0 V* P& ]2 Z9 i2 I2 t8 u
Critical ratio, 临界比
# u% E% \/ s, K* K- b% k: bCritical region, 拒绝域' q3 y, _3 F8 l' \6 O3 c% M
Critical value, 临界值$ g0 d9 m& C' @' A
Cross-over design, 交叉设计! ]9 ?9 q5 ~# S7 K5 x" Q" `1 y. L
Cross-section analysis, 横断面分析& ~9 w0 g$ j8 Y% I# @
Cross-section survey, 横断面调查
( R. G& s5 x8 z$ ACrosstabs , 交叉表 : k$ |. ~! Z/ g7 \. W
Cross-tabulation table, 复合表
. C* G& B% u4 s3 S2 i0 g3 s: jCube root, 立方根) w6 e( P! I" F: `# v* L
Cumulative distribution function, 分布函数
$ b9 j+ B+ y" c L& O5 S7 g# ECumulative probability, 累计概率$ q6 f. L) W7 Q9 g/ q% ]
Curvature, 曲率/弯曲
8 L( q' S3 \* l$ H( `8 \* n5 s3 vCurvature, 曲率
5 y `; x& {, D5 G \9 h0 ACurve fit , 曲线拟和
) I5 L. Y C9 `* i6 ~, kCurve fitting, 曲线拟合( d5 w2 J; P# y
Curvilinear regression, 曲线回归
, u7 o+ c& J7 t* g8 B; p" g) QCurvilinear relation, 曲线关系4 m- @( ? Z* F, z5 d. E ~7 X) [9 x! Y
Cut-and-try method, 尝试法+ v$ v* T& {) W6 ?9 e9 ^% Z, ]' M/ ~
Cycle, 周期
4 u, K- H8 F8 z$ B, nCyclist, 周期性9 K! P+ f( j& i& T8 f
D test, D检验/ _+ F/ m! h% H* `2 |
Data acquisition, 资料收集# [6 E0 a% A) z# T g0 J1 l3 O
Data bank, 数据库
0 n9 l4 ]4 Y5 o8 K3 A3 L2 tData capacity, 数据容量4 E8 A" @6 Y3 c2 s; Z
Data deficiencies, 数据缺乏' _7 v' {1 i2 l- t9 T
Data handling, 数据处理
+ X7 x, x: t- a' N4 ]Data manipulation, 数据处理
5 S9 @4 |& Q3 sData processing, 数据处理
2 O1 M6 V+ O/ PData reduction, 数据缩减7 D" @5 R2 |: T0 `# R1 w' t9 `
Data set, 数据集' f# i( b' U+ w& g3 {6 n
Data sources, 数据来源
# r& r. [) J/ p% oData transformation, 数据变换
9 ?5 p/ o, I+ D* d2 A3 K# \1 v0 N4 j/ cData validity, 数据有效性3 @% \7 x9 F6 e* t% w
Data-in, 数据输入
l, g* T/ E$ n( G; g2 ]5 ?Data-out, 数据输出5 h& o4 ?' R! N
Dead time, 停滞期 m7 b. `! j8 d8 n% K
Degree of freedom, 自由度' c8 @) F8 u0 B& D: ?/ P
Degree of precision, 精密度+ {, ?8 }% U5 }
Degree of reliability, 可靠性程度1 g! K7 c3 W8 M8 U% ^ g9 z
Degression, 递减
6 B7 Y+ X1 s) P x; r$ yDensity function, 密度函数
" j2 w/ D! M7 N& H; U z+ RDensity of data points, 数据点的密度
. E8 d7 {0 G0 \: w2 `2 d h: pDependent variable, 应变量/依变量/因变量5 t; p# P# g9 B
Dependent variable, 因变量( |4 @2 u! X# J1 w: u/ J
Depth, 深度
. f! c" e3 y nDerivative matrix, 导数矩阵1 M9 @4 T7 j8 d4 Z2 _
Derivative-free methods, 无导数方法
. g: P/ _* z! y0 n6 J) `Design, 设计
, `* R: J: y7 {5 G1 t" NDeterminacy, 确定性
. F2 I$ `. v m+ _Determinant, 行列式; }2 N( A h; b7 _7 ~
Determinant, 决定因素
) [* p B! W, f3 W vDeviation, 离差4 Z) I$ r* f- t9 {/ H# ?4 I, a
Deviation from average, 离均差+ n7 j/ o( Z" q: B
Diagnostic plot, 诊断图; p" W- s+ c% t0 ?& l4 ]$ Q
Dichotomous variable, 二分变量5 n% e1 `$ X2 g- s% I6 E
Differential equation, 微分方程
) @! o) y' x8 A, X( \7 _. xDirect standardization, 直接标准化法! z G5 N7 c% K# i+ a- E8 U
Discrete variable, 离散型变量* Z$ {9 ~& B& ~ y1 `9 {
DISCRIMINANT, 判断 ; p# q9 J" e( P% i. i
Discriminant analysis, 判别分析! ]2 s5 C2 w) } S( V0 c
Discriminant coefficient, 判别系数; Q- D" M, V" i0 @, e! a( f/ T8 h
Discriminant function, 判别值( A0 w$ z; w% X2 {: f4 @6 F
Dispersion, 散布/分散度
- Y! ~4 z1 I; x( B G" ?% XDisproportional, 不成比例的9 j/ c/ K2 }. }0 M
Disproportionate sub-class numbers, 不成比例次级组含量
- r V, z( H( E3 \; EDistribution free, 分布无关性/免分布% l9 [4 d2 s2 k' W6 k# u1 U
Distribution shape, 分布形状
1 Z. Z9 n6 {- x4 e- IDistribution-free method, 任意分布法
! k8 ~8 H% o1 E, U% C" lDistributive laws, 分配律! z* e8 @$ r) a! g+ O
Disturbance, 随机扰动项 L8 y; ^: E1 `- E7 ]# v
Dose response curve, 剂量反应曲线% Y9 B8 n- O+ y7 W/ f( M: j
Double blind method, 双盲法 y/ E4 {: z, |; p9 u
Double blind trial, 双盲试验/ S l" E4 B% e* f* H/ N
Double exponential distribution, 双指数分布. y1 U$ c r$ A% X( J% K0 B
Double logarithmic, 双对数) Z: M6 ]" N, w: m' y9 S
Downward rank, 降秩
3 ^) D' ~) Q9 l$ _3 T9 G( Y, CDual-space plot, 对偶空间图
9 I: d' `2 f ~. t( eDUD, 无导数方法- T: [! y, O, v9 ^: t6 c% N
Duncan's new multiple range method, 新复极差法/Duncan新法
6 X! T; b8 Y7 d0 S: V' gEffect, 实验效应 O! d# S% y8 H6 T, @( g
Eigenvalue, 特征值
1 Y9 o" @0 h) |) H9 Z4 q* J' y3 BEigenvector, 特征向量
( S( b' U1 ^+ X$ R) P. oEllipse, 椭圆0 p! C5 F2 V$ f
Empirical distribution, 经验分布
: F" S8 ? M1 X; z: t# uEmpirical probability, 经验概率单位" Q3 H3 t4 Q* R* Y/ \* k2 Z
Enumeration data, 计数资料* _7 l9 C! t/ @9 D* s; r
Equal sun-class number, 相等次级组含量' i( V4 a$ B( ^5 r' n( M
Equally likely, 等可能
& b" B9 k# s! p( JEquivariance, 同变性- X/ P9 `9 @) Y* L. k
Error, 误差/错误
# | F2 o q3 \Error of estimate, 估计误差, A% |; Q# c3 t. y0 N( d8 Q- }$ `
Error type I, 第一类错误2 j7 s# E# w2 l. T3 P/ H9 Z8 b3 @
Error type II, 第二类错误
+ _+ A9 g. Z3 d- o2 }) z( S! \5 jEstimand, 被估量" h( P: _5 f9 B+ V( i! H
Estimated error mean squares, 估计误差均方
& N+ H/ K% N& X' UEstimated error sum of squares, 估计误差平方和7 h& _6 R( D! y- ]5 A& A- m2 X
Euclidean distance, 欧式距离: I/ b* n# {' P# R6 M2 ^3 K+ t
Event, 事件. o/ s" y' O8 w9 m
Event, 事件
1 J: O9 u! u% D1 GExceptional data point, 异常数据点
# |5 v* v4 {% z- V4 [7 c" wExpectation plane, 期望平面4 E3 ?! I1 j4 c1 W8 R5 E& f8 x2 g
Expectation surface, 期望曲面0 t. l% \' x2 }9 c9 H
Expected values, 期望值
3 ]4 p& u: f: c' R6 n; B' J/ IExperiment, 实验0 [! P! N4 J! F: Z( m l6 {9 ]
Experimental sampling, 试验抽样
" q8 s: L3 s9 M4 h. QExperimental unit, 试验单位
: c0 j. @- |+ t. h2 D3 W* |4 sExplanatory variable, 说明变量* L' ?" `2 m M* O
Exploratory data analysis, 探索性数据分析
* ]( q% \: V' K1 v1 uExplore Summarize, 探索-摘要0 s7 ?; W9 s/ W# _3 u
Exponential curve, 指数曲线8 {& R# V4 H+ p7 d( }* V& f% B _
Exponential growth, 指数式增长2 P5 r# Y' G) t3 B4 H
EXSMOOTH, 指数平滑方法 8 g4 A$ R* [: v4 u8 R* f3 l( G8 u
Extended fit, 扩充拟合
9 m9 D' l! H4 k+ c$ TExtra parameter, 附加参数
- X- o! I/ K' G( S" F5 d- CExtrapolation, 外推法; ]( U; x% Z5 H8 j1 F/ h
Extreme observation, 末端观测值
( N3 {6 E. b9 k* B. wExtremes, 极端值/极值# g+ f d* r5 V, x5 O
F distribution, F分布
' @5 y6 Z u0 aF test, F检验! z* n3 y4 V u9 z7 z$ d
Factor, 因素/因子5 W( O1 [0 c8 ~+ m5 l' e' x
Factor analysis, 因子分析
1 }& U0 @0 X8 C- bFactor Analysis, 因子分析
* u6 x( c9 }7 F' Z. jFactor score, 因子得分 * p( L3 A1 T/ q$ y9 l, {; a* [/ r
Factorial, 阶乘
8 Z6 M1 F; H( y9 e8 U4 W: VFactorial design, 析因试验设计0 F' B, H7 ~0 ?8 O, W1 C# c: Q5 W
False negative, 假阴性* r% X$ L% ~0 h- k) L9 S
False negative error, 假阴性错误( p" c1 C: G4 b; _- Y* B! L
Family of distributions, 分布族
* _9 h, I& D2 z* G' HFamily of estimators, 估计量族& }3 y2 N$ r& F. T3 A" _$ i
Fanning, 扇面 l( p) z# P! y8 g7 H, d, n
Fatality rate, 病死率
) n: |9 p! l7 l5 ]8 O$ aField investigation, 现场调查$ M+ i' ]1 p$ b( v6 o2 C
Field survey, 现场调查+ F( C7 Y: Y" C% D' I& _
Finite population, 有限总体
. |, v) j$ E$ W( E9 L# i% ^5 cFinite-sample, 有限样本. n+ _4 O# c' h: X K+ u
First derivative, 一阶导数2 D8 ], E& T9 ~/ D! g7 _6 w
First principal component, 第一主成分
" c c% X8 x7 a& qFirst quartile, 第一四分位数
1 v6 l7 a8 R9 O9 y$ uFisher information, 费雪信息量
|" `, f2 N* x% ^/ T D+ N" H5 wFitted value, 拟合值. S4 M) I7 F9 z4 Y8 V
Fitting a curve, 曲线拟合. [0 x2 T4 H- d
Fixed base, 定基
' @3 [' K( O9 IFluctuation, 随机起伏
3 i2 O& @% }) f0 n) v* N( V4 EForecast, 预测
8 q7 G: W# i( _ i2 ~ M" s1 GFour fold table, 四格表
3 t' r3 r6 I: Y! D/ @Fourth, 四分点' G) S6 _2 o& @3 I/ C7 h
Fraction blow, 左侧比率. s! V+ J* M, ^4 d& j) t& Y
Fractional error, 相对误差' e9 n5 B* p* ^6 u8 H2 [
Frequency, 频率
1 [6 U6 y" S0 @3 W" W0 k% lFrequency polygon, 频数多边图) d. n. r' Z- D) e* D2 S
Frontier point, 界限点
% y% r q- D# Y- \+ C3 h% B% HFunction relationship, 泛函关系
2 G! t2 V0 E0 k. s6 S) wGamma distribution, 伽玛分布- v, @2 G% `; w0 g7 F
Gauss increment, 高斯增量# y+ E3 i# o3 J4 `- b+ i
Gaussian distribution, 高斯分布/正态分布
/ f8 J% |3 O( `4 B" a d7 A5 pGauss-Newton increment, 高斯-牛顿增量$ P# \9 R: |! }
General census, 全面普查
* Z7 [' y, f! ^# F7 IGENLOG (Generalized liner models), 广义线性模型
# c# y5 W8 D4 y- H' f& yGeometric mean, 几何平均数, r0 Q9 [( v' [ f
Gini's mean difference, 基尼均差
+ m3 f' U- u3 y5 d9 NGLM (General liner models), 一般线性模型
7 J$ H* K9 x' YGoodness of fit, 拟和优度/配合度
" h" M9 ?& w. W% e9 bGradient of determinant, 行列式的梯度+ G/ p% `# Z( v- |8 P! e) c
Graeco-Latin square, 希腊拉丁方: S0 m# I& D) Q7 v* A' F" D; z1 H
Grand mean, 总均值9 T1 s$ H2 x; e G( E% O0 q+ |1 d
Gross errors, 重大错误
6 q c# O8 A nGross-error sensitivity, 大错敏感度, C. V8 L$ c, k* J3 R9 ~9 k; ~
Group averages, 分组平均
. e9 M' [8 ]7 ~5 J+ o$ c3 Q8 wGrouped data, 分组资料; Y9 B& J) Q& Y6 P9 m7 p" c: f
Guessed mean, 假定平均数( n: W2 D6 o- L2 Q; A. a
Half-life, 半衰期
# p. K0 J. k% c6 KHampel M-estimators, 汉佩尔M估计量# ]( y' W, X* [* O; _" w. _/ W
Happenstance, 偶然事件/ ]' V' C3 ]' ~/ U7 L
Harmonic mean, 调和均数
1 V, O; E; ], H7 g2 V. R K) S$ A# FHazard function, 风险均数; s; z1 F W5 r: }1 i. r
Hazard rate, 风险率
& ~; @$ c: l9 \Heading, 标目
2 ^( q' A- o6 W5 V. P+ hHeavy-tailed distribution, 重尾分布- @* P0 [6 o' L; d1 A
Hessian array, 海森立体阵
6 H- U4 L. o: c) }Heterogeneity, 不同质
k& k" _8 W; Z4 X/ PHeterogeneity of variance, 方差不齐 1 x. \, t* m7 S3 T% U- ^3 ~
Hierarchical classification, 组内分组
1 Q# a( I& D$ B9 }7 F; oHierarchical clustering method, 系统聚类法
* f9 n% F- I( i5 U0 Z8 I4 P$ cHigh-leverage point, 高杠杆率点$ Q/ A1 ^% o P/ P8 ]; Y
HILOGLINEAR, 多维列联表的层次对数线性模型9 P0 Y+ _. v! F' z; [
Hinge, 折叶点
! d3 `! C- o8 \7 w$ G2 f" p% SHistogram, 直方图* | B$ G* e: I/ {* L
Historical cohort study, 历史性队列研究
. b$ a: U* o1 S3 s" o; QHoles, 空洞
/ [% r& s6 x' b [( C+ Z" y! dHOMALS, 多重响应分析5 M" b' d4 t! e' M# i- |! e
Homogeneity of variance, 方差齐性
x5 j) j' d% {) u0 ~: x$ jHomogeneity test, 齐性检验, r- G) e- J9 R" q- l. p0 c, h
Huber M-estimators, 休伯M估计量
5 D6 r+ L) p3 S: vHyperbola, 双曲线/ Z) ?/ w/ F S1 F% B
Hypothesis testing, 假设检验& ^3 j3 R; s+ D% t3 |, s
Hypothetical universe, 假设总体( v' h+ l2 B2 O& d8 R
Impossible event, 不可能事件
: O' E: ]0 ?/ q; o2 T+ [. X2 dIndependence, 独立性
$ i& l1 w, @# m/ h6 P3 ~/ m& LIndependent variable, 自变量
( B8 C7 X6 @' g: U5 s7 D" S+ B* e" y1 qIndex, 指标/指数/ `9 K# Y8 M* f# ]
Indirect standardization, 间接标准化法
) }4 u/ r4 T3 ~! ?* N# hIndividual, 个体
. h/ i) l# w0 P8 A/ ^% [Inference band, 推断带
; E+ E' w6 e* I8 jInfinite population, 无限总体
- S4 o' r+ q+ T) s" Z; KInfinitely great, 无穷大& ?# s6 _: h9 w1 V7 T2 Z- x0 g( u
Infinitely small, 无穷小% a0 S1 w0 `2 b ]5 x0 p! V
Influence curve, 影响曲线
# u6 Z$ G& v; PInformation capacity, 信息容量* J9 U$ i" b; B" K/ {6 }
Initial condition, 初始条件
7 G0 Y1 K, z2 N: K5 h4 GInitial estimate, 初始估计值' x: H# K+ [3 u: h
Initial level, 最初水平
, D9 ?& o) }. sInteraction, 交互作用, ~0 e6 a; f. x# r
Interaction terms, 交互作用项
' n! R6 R6 v2 a. w4 R1 D9 J3 GIntercept, 截距
~" l X% e8 w( F3 H# R8 pInterpolation, 内插法 q; F* n1 L9 k5 j( k
Interquartile range, 四分位距- X, o4 x9 F$ r* D3 c% H- Q
Interval estimation, 区间估计
( e/ E8 P; y! `) Y6 N& KIntervals of equal probability, 等概率区间0 X. c2 b7 p+ c' J" V% L- g$ ]7 K
Intrinsic curvature, 固有曲率
% Q* L; x/ |3 e6 u8 jInvariance, 不变性
% }# p+ o: H' V; PInverse matrix, 逆矩阵
5 @' d! f! b( p7 m5 R! NInverse probability, 逆概率
& c7 l* a2 j- A# j, I4 iInverse sine transformation, 反正弦变换
% S2 r$ a" d: w/ k% P/ GIteration, 迭代 8 I5 h; B- G4 D5 ?( W- [
Jacobian determinant, 雅可比行列式
$ L& E7 n/ i( D2 E3 LJoint distribution function, 分布函数3 J5 L' d' G8 |$ Y
Joint probability, 联合概率 Y; ^- _2 L0 P8 @( `: L
Joint probability distribution, 联合概率分布
7 O+ _# O! r* T( k9 [K means method, 逐步聚类法. d" Z& z. ]& p9 W% {3 @/ F+ s
Kaplan-Meier, 评估事件的时间长度
+ o3 x: U" q! M. aKaplan-Merier chart, Kaplan-Merier图
/ _+ N% z+ }4 f# JKendall's rank correlation, Kendall等级相关
7 n' [! B0 O* \. D: G. GKinetic, 动力学2 u0 x9 [7 [% \5 d5 M
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
$ o+ {8 N; V/ s' e5 L2 K3 T# V2 \Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
' ?1 c& U" d9 E9 V5 ?( DKurtosis, 峰度; B( l% J1 i- `$ Y2 j2 q* g
Lack of fit, 失拟6 V/ I5 @0 J) ^/ d& { S: m
Ladder of powers, 幂阶梯. ~3 h/ F7 o5 g9 J" m( g8 V! V
Lag, 滞后0 E3 _$ Q5 j }
Large sample, 大样本
2 [! L/ x8 ?; zLarge sample test, 大样本检验
. O8 `6 C5 k! S# G$ w4 l& aLatin square, 拉丁方
& e Y, ?3 q6 E. mLatin square design, 拉丁方设计& L6 k/ o1 v2 y- ~
Leakage, 泄漏' Z D2 ?$ t7 |
Least favorable configuration, 最不利构形
. b$ W( D5 E% w7 V4 c! G3 hLeast favorable distribution, 最不利分布
) H( V; k2 H7 QLeast significant difference, 最小显著差法
2 F4 ^- v% M SLeast square method, 最小二乘法
% R( P- k2 s- w8 T4 ~. BLeast-absolute-residuals estimates, 最小绝对残差估计8 z& s$ @* a. ~ g& G; I' ?
Least-absolute-residuals fit, 最小绝对残差拟合
5 i8 Y) A) e" X6 u) hLeast-absolute-residuals line, 最小绝对残差线8 m, p. `9 o% D9 M g9 J( m
Legend, 图例
8 m: I7 Y5 y* e2 D/ YL-estimator, L估计量! y* F# Z% a* \& \
L-estimator of location, 位置L估计量) V) f, F- ]% F( ^& o! S1 S: R: f" G
L-estimator of scale, 尺度L估计量
& u# j. F# ?6 |Level, 水平
) ?3 R }9 f6 E! H0 `: m# FLife expectance, 预期期望寿命
% S6 g5 ]5 B( j. L5 o0 qLife table, 寿命表
: A4 F" M# W6 v1 h0 C6 l6 }2 MLife table method, 生命表法+ V4 w; h/ m |; S9 A! T
Light-tailed distribution, 轻尾分布- v. A! ~5 \$ k5 x/ ^. J; P! F6 B
Likelihood function, 似然函数
: ?' f p, a9 Z* U& tLikelihood ratio, 似然比6 c1 c) f% G% X; [# e) ?
line graph, 线图) j4 W& J6 ?2 _
Linear correlation, 直线相关# f) B! x, b9 @
Linear equation, 线性方程2 ]/ A8 e% p! N, x
Linear programming, 线性规划 j# R3 I; L% g: Q/ k
Linear regression, 直线回归% S& W5 a3 G3 A3 ?+ [( a
Linear Regression, 线性回归. a6 {+ H' h0 e5 ?
Linear trend, 线性趋势* w3 B% f7 B! s2 ^9 |2 U% d
Loading, 载荷 + ]& f* o9 T8 V
Location and scale equivariance, 位置尺度同变性
: X( x5 z0 a$ L- M SLocation equivariance, 位置同变性
3 R3 k- z5 v' Z$ M7 NLocation invariance, 位置不变性
2 ]2 S7 q5 \! ZLocation scale family, 位置尺度族
2 v' A& `9 D: G; xLog rank test, 时序检验
7 @9 G) U4 e# N; hLogarithmic curve, 对数曲线2 F2 f/ h6 X' G. ? m) J3 G: i
Logarithmic normal distribution, 对数正态分布3 \- y( f6 {8 x% y
Logarithmic scale, 对数尺度
4 u7 k# N( q7 {3 h. |$ z; dLogarithmic transformation, 对数变换
" b6 J( n. L7 Z: E- H( A# h6 k5 OLogic check, 逻辑检查
( J: t# d" l5 j9 GLogistic distribution, 逻辑斯特分布
& _& }% b% Z2 _2 fLogit transformation, Logit转换
* _2 O/ j3 F& f1 D' C; PLOGLINEAR, 多维列联表通用模型 6 T& | u) b. Z3 c4 S6 z [
Lognormal distribution, 对数正态分布! F2 I& D0 @) u3 r, I2 p: e* y
Lost function, 损失函数; Q* x( u# p3 I$ w6 V4 G* V
Low correlation, 低度相关4 f$ ]3 l$ C& x% ?
Lower limit, 下限
& i$ w$ U$ L4 q" ]( `3 v' WLowest-attained variance, 最小可达方差
3 Y& ]- y' _ k1 H# r FLSD, 最小显著差法的简称8 r$ W" R+ \* c( G, p* `
Lurking variable, 潜在变量% \8 o/ M+ A0 Q( C( M' m2 V" x& w
Main effect, 主效应) y% m/ C, b7 S) d) g$ l/ E
Major heading, 主辞标目
4 h! T2 W3 J" z2 x3 H! ]2 QMarginal density function, 边缘密度函数
9 g" r' e. n5 x# c' p: }, ~% e% FMarginal probability, 边缘概率
4 R: c3 X3 W9 {2 b! _5 CMarginal probability distribution, 边缘概率分布
?5 f6 L- d; ~+ {& L/ G+ JMatched data, 配对资料& f: [3 O8 o- s9 Q, p: T, ]
Matched distribution, 匹配过分布
8 C8 V( I2 k6 nMatching of distribution, 分布的匹配! X8 G4 ], `& Y; ?; h
Matching of transformation, 变换的匹配7 F2 z+ G" I, a" e: `5 _
Mathematical expectation, 数学期望
- ?1 [( b! p ]1 k" V0 G% Q1 UMathematical model, 数学模型
6 n+ @& G3 O0 w: B% d# F, GMaximum L-estimator, 极大极小L 估计量
; Z. ?, ^4 H* M2 k1 B6 wMaximum likelihood method, 最大似然法- K, e) N+ @( k9 ]+ z v4 s' j
Mean, 均数/ y# _, r/ @" L. y* O
Mean squares between groups, 组间均方* L+ x) [1 f8 f
Mean squares within group, 组内均方 ~% d2 K8 p4 f8 h% A6 ^. M( K
Means (Compare means), 均值-均值比较' |/ O6 T4 x3 c: q4 o
Median, 中位数
A' b3 P& {: h( [Median effective dose, 半数效量. i( a# S) l- P+ d. B6 Q8 F
Median lethal dose, 半数致死量
8 m) ^3 w% M S# _/ \6 V( A; C6 l" `Median polish, 中位数平滑0 I, v; V, Z |, z' x
Median test, 中位数检验6 S2 b! d2 `& d' ~
Minimal sufficient statistic, 最小充分统计量8 _1 r n+ I$ l& |" J
Minimum distance estimation, 最小距离估计
. N! _0 o* O; o: sMinimum effective dose, 最小有效量" }8 ~3 s& s' [5 [
Minimum lethal dose, 最小致死量
3 P* P4 W! `, Y* gMinimum variance estimator, 最小方差估计量8 Z7 u- g7 s( ?2 _& b! V
MINITAB, 统计软件包/ t* [) k( D; v9 C( Q% k% b
Minor heading, 宾词标目3 T: G3 J \, {/ c2 `9 y
Missing data, 缺失值
& X' C) D9 p* MModel specification, 模型的确定
6 c/ |4 y; V& m* `( b Z* lModeling Statistics , 模型统计$ s) l3 `1 ^. \6 |3 F r# F5 E
Models for outliers, 离群值模型2 U' G2 x2 H. I; r& @8 o! k
Modifying the model, 模型的修正. P! \: l- c# {+ u0 h$ }
Modulus of continuity, 连续性模6 `. I% Z+ T' X/ I( v/ h
Morbidity, 发病率
: [5 ^) J) l5 r# e; iMost favorable configuration, 最有利构形
, b; P3 \* K7 ]8 ?8 t/ R7 l4 UMultidimensional Scaling (ASCAL), 多维尺度/多维标度
+ ?5 i. J& t1 t: Z0 }* M' AMultinomial Logistic Regression , 多项逻辑斯蒂回归
4 J1 r6 e, C8 k# P/ z2 \3 X$ AMultiple comparison, 多重比较
# H$ ]( k% x5 F% \- R; |- |Multiple correlation , 复相关
; D, [5 }6 A# B# j/ k* mMultiple covariance, 多元协方差) X* ?" j* I8 g" ?) R
Multiple linear regression, 多元线性回归( a0 e$ l! Y- P3 {: a; g- X
Multiple response , 多重选项4 V1 ]$ E0 w' O6 t( d& z M, o# o
Multiple solutions, 多解
" t3 p+ N: I3 G9 {. R+ _Multiplication theorem, 乘法定理
7 R& o+ C) \ ^ x) J- vMultiresponse, 多元响应5 z: D( c9 H4 [- ]9 r" \ u: b, U
Multi-stage sampling, 多阶段抽样
3 ?9 @$ S2 z* L# e1 C7 ~Multivariate T distribution, 多元T分布& e& R# U* p2 l l( z
Mutual exclusive, 互不相容
7 B4 k4 I7 g1 @) z, G0 C/ }: |Mutual independence, 互相独立* H6 _3 R: [7 n2 o
Natural boundary, 自然边界. k0 }. O; B3 B
Natural dead, 自然死亡
7 x4 j( ] u1 ~+ t- T: w. E2 ~ QNatural zero, 自然零
7 r% ~; I4 I8 x9 W. UNegative correlation, 负相关2 q; G* J6 T( e" x
Negative linear correlation, 负线性相关
" o: i0 j- X: v. A) J+ j* TNegatively skewed, 负偏
7 R* j6 W0 d/ v" D0 P' T/ fNewman-Keuls method, q检验4 H- Y; M. d! K/ D/ I# m0 p; b1 U0 Y
NK method, q检验
: M( B4 i& B2 h3 DNo statistical significance, 无统计意义5 y( \3 w! { e. \9 |" q
Nominal variable, 名义变量
6 m* F) U/ I( ^* H1 N: `! K* ONonconstancy of variability, 变异的非定常性/ ?/ z+ D2 [; Q1 R/ e9 Z
Nonlinear regression, 非线性相关# r' c7 ]+ P7 H2 L. I1 T/ L, G o
Nonparametric statistics, 非参数统计
( E9 h& m9 m. u3 c0 q7 cNonparametric test, 非参数检验
( d* d5 r9 i( jNonparametric tests, 非参数检验
9 g, V9 m" w8 s: p+ A7 {7 h% O4 F' XNormal deviate, 正态离差- ~0 F2 O* _6 o% _ p1 \
Normal distribution, 正态分布
0 d+ W0 w+ ~& |- @" t4 PNormal equation, 正规方程组6 e+ f( l3 m$ F0 P( ^& Z2 a
Normal ranges, 正常范围
& B& ?7 S% f1 z' f. j( u: rNormal value, 正常值
A+ D1 Z4 P' x& v' P$ A& ]* ?Nuisance parameter, 多余参数/讨厌参数
' t* C( m7 f$ x2 v: @6 j6 @Null hypothesis, 无效假设 - i. R; x/ Q- L% z0 F |1 V
Numerical variable, 数值变量2 D6 L3 |8 V& a% b2 r$ O- t7 q1 ~
Objective function, 目标函数
4 |, \$ n( R3 r1 y2 ZObservation unit, 观察单位
- d& C) a: E# v$ n0 f. MObserved value, 观察值# p7 e+ D* R6 i! _7 N: U* ^7 F
One sided test, 单侧检验9 J: |% e8 U6 X& y
One-way analysis of variance, 单因素方差分析
# F6 f7 \3 B6 k: ]) M8 SOneway ANOVA , 单因素方差分析! p- e4 d& I2 z' @ F% t3 [
Open sequential trial, 开放型序贯设计% ~, |4 l- [+ x/ I' J
Optrim, 优切尾" O$ h V/ x* b' H$ A3 s& X3 e
Optrim efficiency, 优切尾效率
' O) Z6 J _" M4 |Order statistics, 顺序统计量3 o7 Y: S2 w* m" T8 E1 y
Ordered categories, 有序分类
5 e- ^- d) X, ^( W2 J+ V9 oOrdinal logistic regression , 序数逻辑斯蒂回归# V* O2 u! n. Z
Ordinal variable, 有序变量
) h% B) l- _1 ^5 \Orthogonal basis, 正交基
: z, @6 a; ~1 i3 y6 k3 }Orthogonal design, 正交试验设计
f; V7 K$ ^# l# g% G, j$ vOrthogonality conditions, 正交条件6 H& K* i( _3 |7 i) C/ H0 Z( X
ORTHOPLAN, 正交设计 # M. Y+ f3 b' ^6 J1 |) `3 X
Outlier cutoffs, 离群值截断点
8 O: U" s( k% YOutliers, 极端值- y3 r' S, _/ G+ u
OVERALS , 多组变量的非线性正规相关
% Y9 L% I i, I z# n; E8 i+ lOvershoot, 迭代过度/ r! S5 Z" e" H5 B
Paired design, 配对设计
9 a4 b3 _6 T/ u* KPaired sample, 配对样本
: C2 z+ b8 d6 lPairwise slopes, 成对斜率1 y% m. X& _0 @. I
Parabola, 抛物线
. G+ ^2 D$ [# I7 u/ ~ y* y& QParallel tests, 平行试验
1 s" R6 j+ N- c% l; U# |Parameter, 参数2 k8 ]- n7 j" g U
Parametric statistics, 参数统计+ T& Q5 M( _9 U( |1 t/ ?, v" M/ N
Parametric test, 参数检验
+ t. U0 u* v+ U; @+ p. p6 bPartial correlation, 偏相关- a& W7 C0 F9 U1 ^# ]4 }1 K
Partial regression, 偏回归# O. K3 v6 b) F
Partial sorting, 偏排序
w2 j% C8 f: P% I- f) {$ bPartials residuals, 偏残差7 ^; g8 {6 J) { Y+ k0 c$ S, w
Pattern, 模式% K+ [# q8 V3 [) L, r; P
Pearson curves, 皮尔逊曲线
. d5 Y; n9 ?0 o1 b" `Peeling, 退层 V7 d8 N2 [" G ~, A
Percent bar graph, 百分条形图
; S/ g2 C' q6 s; z2 V% K. DPercentage, 百分比
# k. O5 w/ I; Q, g3 ]Percentile, 百分位数
1 M8 j: r/ Z/ l8 C7 R( h2 O# l; pPercentile curves, 百分位曲线
- U) t! l$ y" h% ~# L' oPeriodicity, 周期性
& ~. f0 o8 |3 C! HPermutation, 排列
+ Q8 ~- Z$ I2 h& _' ? mP-estimator, P估计量# I, a1 y6 |7 z8 D; T
Pie graph, 饼图
; [4 G* B6 c& H# ~1 A9 {Pitman estimator, 皮特曼估计量
; `; j1 p( X7 I/ V0 j& k IPivot, 枢轴量5 |4 m8 |( ^( ]" n: S! e; k4 ]
Planar, 平坦
; J2 P* r* w" i/ JPlanar assumption, 平面的假设- H: _1 l9 n2 d$ X6 Q& t% m4 V
PLANCARDS, 生成试验的计划卡
8 X: W6 b, a8 lPoint estimation, 点估计
. i3 b: G* J$ z% A0 }% d1 BPoisson distribution, 泊松分布) {& `# W3 Y: O$ ?! A% Y
Polishing, 平滑% L4 J2 A4 `; i- E0 u T
Polled standard deviation, 合并标准差& C% @0 R9 ^& ]
Polled variance, 合并方差8 s/ A# l% r% X/ p9 y5 o
Polygon, 多边图9 Z6 `1 F: G1 p0 A
Polynomial, 多项式
+ p. f1 V3 ^2 v1 WPolynomial curve, 多项式曲线
9 ~2 `: G. F: G1 k( R* L9 tPopulation, 总体) a' D% v0 \% N8 S2 s( I+ t) _' z- s
Population attributable risk, 人群归因危险度
- g. a7 w0 F5 GPositive correlation, 正相关# v6 _4 x+ t# M p
Positively skewed, 正偏
+ f0 t' W0 c4 x% ^% U) aPosterior distribution, 后验分布
$ \3 \% E: X0 |+ mPower of a test, 检验效能0 p+ O6 A: N" A! L8 k: O5 v
Precision, 精密度. n0 K/ H6 H) Q/ r( i m
Predicted value, 预测值 W9 y3 ]1 b$ d8 H! T6 l/ e% j0 W
Preliminary analysis, 预备性分析
% h* e! e R$ i3 G+ S. jPrincipal component analysis, 主成分分析+ d% G8 x( w, `8 T1 i& `. H
Prior distribution, 先验分布. O% ^/ \6 P( ~3 t6 N3 Q
Prior probability, 先验概率
3 [9 v0 m+ O% |, C' q$ V5 aProbabilistic model, 概率模型/ @+ S( B% z4 w% }& d. `% K
probability, 概率 ~9 |; ?/ M" {
Probability density, 概率密度 Z X; C1 ], T e4 E# J/ O
Product moment, 乘积矩/协方差
& u k) P- b/ SProfile trace, 截面迹图! P4 L2 n4 A5 E- ?% ~
Proportion, 比/构成比) `* `4 e8 F* e; y2 A6 R
Proportion allocation in stratified random sampling, 按比例分层随机抽样+ ^. P. S. }' g) w/ j$ U
Proportionate, 成比例
: a b1 D( j+ U1 S _Proportionate sub-class numbers, 成比例次级组含量
6 p1 t2 _- {9 q1 V1 Q" F3 \; Z: K5 fProspective study, 前瞻性调查" H$ o0 G n- ]
Proximities, 亲近性 0 o' n A3 s# q- z3 t
Pseudo F test, 近似F检验' v; B% X$ x% R* ]$ e
Pseudo model, 近似模型+ q' u: y4 @3 E. B) S0 |
Pseudosigma, 伪标准差& ?# k" k! S' g o" w
Purposive sampling, 有目的抽样$ Z# Q: S7 R* Z+ t8 {& D2 l
QR decomposition, QR分解
+ u) d& L4 d4 kQuadratic approximation, 二次近似
; I, R3 @) S1 S# F1 W5 yQualitative classification, 属性分类
" ]8 b+ h; h4 e6 ^5 ~Qualitative method, 定性方法( X, | c5 } e- u; n5 D
Quantile-quantile plot, 分位数-分位数图/Q-Q图
3 P4 q, C1 e j s2 JQuantitative analysis, 定量分析
" [$ I. ?& [% F8 _, p. `- z8 _Quartile, 四分位数. }; t3 i1 Z2 [# h
Quick Cluster, 快速聚类
0 C' f: X! k; _: P8 kRadix sort, 基数排序
& n5 J0 w) J* t7 w" Y0 M. TRandom allocation, 随机化分组1 c$ n* ?! y4 p9 _' S1 J
Random blocks design, 随机区组设计
. P" D8 b' R# R& `; rRandom event, 随机事件
* d1 d8 R) l$ _2 mRandomization, 随机化
1 N" F M( A3 ERange, 极差/全距
3 _5 H/ ?( [7 Y, { ~# D ERank correlation, 等级相关
/ k P" W H. D# [ a$ FRank sum test, 秩和检验
# L; G9 h, E' E) n5 ?+ o( ]Rank test, 秩检验
1 \! p; [5 k( D* d1 ?/ YRanked data, 等级资料4 H/ F& `: o( G% z: b! i4 E
Rate, 比率
2 Y8 i3 y% Q5 [+ [Ratio, 比例7 X$ E1 j/ S, }- H& T/ A& Z b5 O- A" x7 ?9 g
Raw data, 原始资料
) I" z+ E/ b0 uRaw residual, 原始残差% l0 n. C( K( c
Rayleigh's test, 雷氏检验
) |6 d% M" b' B3 p8 {# QRayleigh's Z, 雷氏Z值 k" p% H, N# Z$ f3 t! U1 @
Reciprocal, 倒数
8 m o& b F( N0 f4 N) T1 qReciprocal transformation, 倒数变换
& c7 [1 ]& k* p( [6 t! p, QRecording, 记录# t1 P/ b; G' g. Z
Redescending estimators, 回降估计量
6 k) h v* _% [3 f4 V/ ZReducing dimensions, 降维) e8 B3 y8 l0 k8 z; u
Re-expression, 重新表达$ P; w1 l5 A0 J( {8 Z; `. f
Reference set, 标准组9 C, D3 T. S& v! J
Region of acceptance, 接受域
, v a r, w$ g( X+ {5 L- m6 ZRegression coefficient, 回归系数8 A& T8 x1 `: Q8 ]2 b5 `5 V
Regression sum of square, 回归平方和( Z: C1 A& U0 e
Rejection point, 拒绝点1 D( G$ ]# H% @. {* E
Relative dispersion, 相对离散度
) v* \ k/ e9 E( T% K% c C. `' J2 VRelative number, 相对数
5 D7 T* z( A0 [4 jReliability, 可靠性
* q. F v4 o4 h8 p; oReparametrization, 重新设置参数, Q/ S- R. V/ P1 j3 g
Replication, 重复
k& \) U9 a& dReport Summaries, 报告摘要
# n- I6 [9 b- XResidual sum of square, 剩余平方和* N/ }6 y1 P" @/ p9 |: l
Resistance, 耐抗性# h8 k* ~( c6 e( ~2 n
Resistant line, 耐抗线
9 d$ w R$ [% u4 X9 p. A0 {Resistant technique, 耐抗技术# {: P9 Z- M3 {# d
R-estimator of location, 位置R估计量, o2 A6 k. q+ }. |* t
R-estimator of scale, 尺度R估计量2 M9 M1 E; ~' U
Retrospective study, 回顾性调查4 _+ x) Y( ^( t# P% n
Ridge trace, 岭迹0 f" d) O4 Z- ]3 F' y# O" {- D
Ridit analysis, Ridit分析. r+ r; b! e9 Q, \% a) Q6 e: S: h" [
Rotation, 旋转
/ M$ L/ M" ]8 ]8 x; KRounding, 舍入
7 @! G# M) G- |# A2 E6 Y2 Q; T6 KRow, 行
" e: l/ @, Z- M8 W* ORow effects, 行效应4 m- c9 f5 b& [4 _. t
Row factor, 行因素
' S: I" e: v$ D. g4 e; B: g6 `RXC table, RXC表8 Y6 [6 M! a: P/ A
Sample, 样本
/ y- j5 V: p! m) j% u7 r4 i" ?) KSample regression coefficient, 样本回归系数" Y8 h' j( h/ Q+ z V! R
Sample size, 样本量
0 E: p1 Q0 ], |. K, d9 q; B4 Q/ |2 WSample standard deviation, 样本标准差
" x9 t6 i0 T4 KSampling error, 抽样误差# c* d, M& g9 v; e
SAS(Statistical analysis system ), SAS统计软件包
9 \0 F- g+ |4 U% G6 c1 wScale, 尺度/量表7 N8 R1 W0 i6 c n5 m# q
Scatter diagram, 散点图8 g6 [4 i/ C9 D5 W, Y1 a! b
Schematic plot, 示意图/简图3 l( p" H# W/ s% y# v5 \
Score test, 计分检验6 z; F+ n" G- a$ a- X1 H
Screening, 筛检. J/ j# p8 O9 S7 B# ]0 j3 m
SEASON, 季节分析
0 E6 X. u' _6 d1 U- U1 O l- TSecond derivative, 二阶导数; }* Q1 d. a9 b$ u0 r7 o. w" i
Second principal component, 第二主成分& p% ~+ ^0 ?/ u/ z4 _ |+ g3 B, X
SEM (Structural equation modeling), 结构化方程模型 : Z* c9 @: p; a4 g! S) U
Semi-logarithmic graph, 半对数图
3 d, e W7 {( D2 e8 [( i3 \0 ]Semi-logarithmic paper, 半对数格纸
: ~8 y9 S: h; v- ]- jSensitivity curve, 敏感度曲线
. n& S7 e% [1 eSequential analysis, 贯序分析9 ?; m" b& r2 Y5 ~6 }- P
Sequential data set, 顺序数据集
7 {6 v; A4 X/ f3 LSequential design, 贯序设计
% F3 t k$ \& K# K% s) W, [Sequential method, 贯序法1 v, M( S d7 \7 x
Sequential test, 贯序检验法
+ h9 U1 Y+ L' N$ S- t K; WSerial tests, 系列试验" U; B8 |0 C, d) G' w6 u
Short-cut method, 简捷法 * @$ L9 }) |2 H( s8 b
Sigmoid curve, S形曲线9 r5 p$ ^; p6 n5 V2 r' Z
Sign function, 正负号函数
1 e' a7 [- z3 m2 z) N7 z: p! O* \Sign test, 符号检验4 k: {) [5 E. c( m2 ^
Signed rank, 符号秩
0 _4 u( k1 Z7 |" t# L0 |Significance test, 显著性检验
" h4 s+ b _! k& ~Significant figure, 有效数字7 c7 D8 z9 P$ V0 u8 ~0 D6 \3 T; U1 h$ o
Simple cluster sampling, 简单整群抽样2 w$ h: `$ c8 g; e% t
Simple correlation, 简单相关
; x" H9 ]" i6 OSimple random sampling, 简单随机抽样3 N( Q# \0 Z# s4 t! C9 z) d# f; Q
Simple regression, 简单回归6 R' l- O( ] k& f% B+ ?6 c
simple table, 简单表
0 M! f2 @8 t' u5 F' nSine estimator, 正弦估计量) O3 A1 T( u/ J0 _) ?1 Y. s
Single-valued estimate, 单值估计9 D5 U% S" g2 Y+ a& A) X! Y0 j
Singular matrix, 奇异矩阵+ A" B2 l9 ]5 h$ T2 r1 t% ^: _
Skewed distribution, 偏斜分布
/ K' w. H1 }9 O% O6 \; w u9 H% eSkewness, 偏度
; A% z. M2 o2 j% kSlash distribution, 斜线分布8 D4 T: w1 t0 `/ L" S H
Slope, 斜率6 q% a% `! n, ]# j. n% }7 }
Smirnov test, 斯米尔诺夫检验) [+ C6 K' L" W
Source of variation, 变异来源
1 r P7 e; t* F% G; zSpearman rank correlation, 斯皮尔曼等级相关
$ i! u. p3 c5 |; V" V2 ?0 v' j3 vSpecific factor, 特殊因子
( X9 E! M4 @% {6 |Specific factor variance, 特殊因子方差
$ y7 j) U) C0 i) U( cSpectra , 频谱3 Q6 y5 e" S: Z: h
Spherical distribution, 球型正态分布
( I- ]4 I4 R. e7 I# iSpread, 展布- l6 ^ x* I: M% I, x5 |1 ^
SPSS(Statistical package for the social science), SPSS统计软件包
6 l0 w/ f5 A$ e. eSpurious correlation, 假性相关
/ X6 I& B% x+ O+ s0 lSquare root transformation, 平方根变换' \5 X* l" N2 e3 `
Stabilizing variance, 稳定方差2 ]# ]! C! D& B# F; p& t
Standard deviation, 标准差4 A. N7 G1 O) H+ d
Standard error, 标准误/ A, o/ D& W9 C0 U' R
Standard error of difference, 差别的标准误3 b# A( J% \7 z% s0 `/ E q. u
Standard error of estimate, 标准估计误差! J S2 u8 x7 `' S# C% n
Standard error of rate, 率的标准误2 v( ]/ G6 [3 i! [
Standard normal distribution, 标准正态分布
$ P5 p" Y% ]2 \8 @# {3 T; RStandardization, 标准化
. z' O7 M* o3 S3 X. b& |1 O# {4 d3 wStarting value, 起始值
1 \* P& [- r6 M( @* RStatistic, 统计量
) l4 n2 ~. Z9 i5 S5 [. z' ^0 JStatistical control, 统计控制9 V/ o+ b6 h4 K, Y
Statistical graph, 统计图
2 ?0 ?& r* V$ ^- ]: QStatistical inference, 统计推断
! o5 N3 I; g5 H, x" nStatistical table, 统计表
9 p& c/ T) O4 B8 B% [$ USteepest descent, 最速下降法4 ]5 J5 f- o8 p2 t% g
Stem and leaf display, 茎叶图
% |% }4 [9 Q; H( lStep factor, 步长因子* ?, r9 |- j0 h! E
Stepwise regression, 逐步回归
+ d: h6 v4 n CStorage, 存
+ T1 z) n2 X: `# y: f1 ~- pStrata, 层（复数）) y) z" r2 j, m( g$ A
Stratified sampling, 分层抽样
. w6 [& _/ n0 BStratified sampling, 分层抽样) w+ M0 F: C* B
Strength, 强度! t& p/ ]& Y# M# W8 W7 e. D
Stringency, 严密性
1 u" |' l! j- n$ GStructural relationship, 结构关系3 x' |4 R% m( G9 `! F5 G, V q
Studentized residual, 学生化残差/t化残差" ` F$ K/ q! f' J3 t
Sub-class numbers, 次级组含量! P4 y% q# C# e9 x
Subdividing, 分割, {) `+ ?' }5 M1 [. N8 n
Sufficient statistic, 充分统计量7 O& P8 P, y/ q6 Q9 J/ A+ c
Sum of products, 积和
8 K* E& G8 m+ f! W! N% `4 S# v. h6 @Sum of squares, 离差平方和
?! b7 B- @! |) n( zSum of squares about regression, 回归平方和
. Q8 i3 x+ Z! w9 U: P' uSum of squares between groups, 组间平方和4 @( w( G* }; O
Sum of squares of partial regression, 偏回归平方和; F; D% o/ r1 h1 [5 d
Sure event, 必然事件
# X8 T( a+ ~9 X/ z& t7 P6 s7 h+ XSurvey, 调查3 @6 I8 {3 L, K* e% L
Survival, 生存分析
# ]/ f. p2 `6 `' qSurvival rate, 生存率
! f: s; Z" ?' }9 \Suspended root gram, 悬吊根图7 _0 ]5 I% Y6 V4 A' ~- o- H( `* ^
Symmetry, 对称$ M E8 F- W/ Q& W9 R
Systematic error, 系统误差
" h% m8 ^1 @4 z" v9 USystematic sampling, 系统抽样
: p) V$ u6 k' BTags, 标签
/ J+ M* |) \8 ?- _Tail area, 尾部面积" l: h: G* w4 Z9 C# s7 t
Tail length, 尾长
/ ?6 }& ]4 _4 H5 ^ \; wTail weight, 尾重0 N2 y2 b% N6 d
Tangent line, 切线
. G4 [/ v9 ^, Y9 hTarget distribution, 目标分布
- u- _5 y+ U" s. dTaylor series, 泰勒级数
7 v' G+ p+ X, QTendency of dispersion, 离散趋势/ N/ x5 z; k6 [
Testing of hypotheses, 假设检验, ~0 `4 y1 K1 m; U
Theoretical frequency, 理论频数2 p& D2 @$ f5 D4 j
Time series, 时间序列5 o4 f: H: d) Q @% o2 B( |
Tolerance interval, 容忍区间
( S! ], |4 D gTolerance lower limit, 容忍下限9 h" H6 ^ J( Z6 @4 B7 W
Tolerance upper limit, 容忍上限
) X! }# z; m9 s3 R% `Torsion, 扰率7 K8 E3 m2 t- u& R' {/ _' D
Total sum of square, 总平方和
* m( E4 p' x9 H# F3 U, rTotal variation, 总变异
2 Z; y+ M6 N3 J* MTransformation, 转换
! G3 f2 j2 w4 Y$ ~5 b9 W, A6 y. aTreatment, 处理9 I4 C/ G' G( d. u& S# F
Trend, 趋势
/ q3 ^1 |8 c( k% ]0 Q! \/ jTrend of percentage, 百分比趋势, I2 s3 C# Q5 P$ o
Trial, 试验' y1 N3 ]; \2 G2 q6 c
Trial and error method, 试错法" R4 ^0 G2 i9 B2 M$ B
Tuning constant, 细调常数
3 E1 X% G7 N6 j3 \Two sided test, 双向检验8 k9 n5 X- w5 y8 b; [* C' Z, F# n
Two-stage least squares, 二阶最小平方
j2 _4 e& U5 {Two-stage sampling, 二阶段抽样
2 d0 p4 a2 e- f% nTwo-tailed test, 双侧检验
! `- M6 ?6 ^$ A4 jTwo-way analysis of variance, 双因素方差分析
7 F# j \* o$ K5 C2 f7 a* |Two-way table, 双向表
7 ^: z3 Z; W2 s* o: tType I error, 一类错误/α错误
. V/ x" m7 O0 g6 hType II error, 二类错误/β错误
. x' C& l) }. m, `1 y' NUMVU, 方差一致最小无偏估计简称% ?+ n1 O. d, x% x9 u
Unbiased estimate, 无偏估计
- p& N/ f5 J# f" |: Z" aUnconstrained nonlinear regression , 无约束非线性回归
Y4 g2 h! V' f$ p3 KUnequal subclass number, 不等次级组含量( l, i- }! q; ?6 T, F/ Y
Ungrouped data, 不分组资料! r$ w- {# x* x
Uniform coordinate, 均匀坐标
8 n# }& h' b/ H9 y& x2 ^$ PUniform distribution, 均匀分布
2 }9 E3 h# h R& G# b: |Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
7 o0 w9 c) j6 T( cUnit, 单元
- N4 D T' @4 F5 s* N7 {& NUnordered categories, 无序分类
$ Q4 j3 @9 ]% z8 VUpper limit, 上限
. ?2 u, L( J* I3 |* LUpward rank, 升秩
- M N, H& Z/ z6 w! y( UVague concept, 模糊概念# ~5 S% b2 b2 _2 G
Validity, 有效性
0 u7 B1 @3 P- h2 U3 \! @VARCOMP (Variance component estimation), 方差元素估计% e" P/ t R( j% C3 N
Variability, 变异性+ {" _: o( l) y% Y
Variable, 变量
2 z/ e u- b7 P8 K+ }! W: W8 a4 s- zVariance, 方差* G1 M z' ?& J
Variation, 变异: f2 p# [* c9 T* b2 X5 v
Varimax orthogonal rotation, 方差最大正交旋转6 P9 w( l+ T. K1 o# I, c: D5 V
Volume of distribution, 容积! Y. s2 i8 ^$ M/ [; Q; @# Q3 u7 l; V
W test, W检验
. T+ B' ?2 j( B6 p% jWeibull distribution, 威布尔分布
% {) ]6 h6 y( J4 _9 `% AWeight, 权数
3 b z3 a+ i' Q7 FWeighted Chi-square test, 加权卡方检验/Cochran检验
. x6 L2 g: {# o! BWeighted linear regression method, 加权直线回归, J u7 Y0 z6 h
Weighted mean, 加权平均数
4 ]& `/ L- Q9 K* cWeighted mean square, 加权平均方差1 @/ X v7 ^* o0 C
Weighted sum of square, 加权平方和/ X1 h6 R" k1 V) T- F
Weighting coefficient, 权重系数* c7 h Z/ a- |6 y) \; F
Weighting method, 加权法
9 q1 M3 k3 n) B1 W0 {& ^W-estimation, W估计量; q' V n& X" V
W-estimation of location, 位置W估计量
4 z3 Q2 x1 _2 U, N }9 N0 X0 F7 K* L& BWidth, 宽度
9 q! P, ~* U) LWilcoxon paired test, 威斯康星配对法/配对符号秩和检验
! z) ?7 _( X! E; mWild point, 野点/狂点0 k0 ?$ k* } p; x
Wild value, 野值/狂值" b: Q# C+ E$ p( X6 n
Winsorized mean, 缩尾均值) [- g0 W2 F! F) D
Withdraw, 失访
* |8 L. q' [! k5 d1 x3 L) k2 G1 jYouden's index, 尤登指数
* R: N$ a4 W' B/ w' q' pZ test, Z检验6 P+ C" `- j' k* o3 }
Zero correlation, 零相关
+ v. \/ f7 G0 K) pZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
