|
|
Absolute deviation, 绝对离差
9 H0 D5 {/ u# c: `' w XAbsolute number, 绝对数
1 K0 U1 s# y/ k9 Y0 `Absolute residuals, 绝对残差2 O: ^3 O2 z7 k
Acceleration array, 加速度立体阵9 ]: _* q0 U6 F4 `- i u
Acceleration in an arbitrary direction, 任意方向上的加速度
2 u5 Y5 q2 ]4 `& H; l3 s* LAcceleration normal, 法向加速度
9 Q3 p1 ?% H6 u; t* w# g8 zAcceleration space dimension, 加速度空间的维数* D4 Z1 s5 r4 L% I- ]* o
Acceleration tangential, 切向加速度* l `# c" | O+ j% U
Acceleration vector, 加速度向量1 N6 Z; b: ? q) s5 w$ ^
Acceptable hypothesis, 可接受假设
" _; n' K8 T# S* ^8 TAccumulation, 累积% u% T' Q: l) y
Accuracy, 准确度7 [. T% t6 n: k: G5 }( `7 f$ l
Actual frequency, 实际频数$ X- W" C$ s- {. ~3 e6 Y5 M" ^
Adaptive estimator, 自适应估计量
+ P: I1 i# Q, ?$ v+ d1 r4 O+ SAddition, 相加
* X# S" M: w1 z# l) ^% FAddition theorem, 加法定理
/ Z1 h: g \8 h8 ~+ N; b EAdditivity, 可加性2 `: H. b7 [* k& E# U& l' i2 F7 d
Adjusted rate, 调整率
: Y0 ?5 G! L X bAdjusted value, 校正值$ z, Q f+ v& L2 [8 a; B n
Admissible error, 容许误差0 H1 C$ h$ F. Z
Aggregation, 聚集性
' l6 X5 W7 V, `& M7 IAlternative hypothesis, 备择假设
# E' `4 X; d, k1 L1 `Among groups, 组间
* u* M: A* ^- v0 a3 R; qAmounts, 总量
/ u/ f; P9 r: d/ L( NAnalysis of correlation, 相关分析
# Y% T. V3 w/ c3 YAnalysis of covariance, 协方差分析$ v" y- A4 _: |" m
Analysis of regression, 回归分析
8 |: B/ g J' Y( mAnalysis of time series, 时间序列分析
# e$ g+ O2 K3 P+ bAnalysis of variance, 方差分析+ s* J7 K1 I% a$ Q( q
Angular transformation, 角转换
+ k) e# S& I/ \# b2 p% y8 QANOVA （analysis of variance）, 方差分析4 a" ~* ~4 z- [* P* E
ANOVA Models, 方差分析模型2 b4 a& V' ?* A) m% q r
Arcing, 弧/弧旋
7 f3 `2 s5 C! M" S8 h! ~Arcsine transformation, 反正弦变换8 S& ]' ~, `1 ^" B
Area under the curve, 曲线面积- Q2 m' @ p5 j& |! l, f
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 ' {* H, L4 E8 y/ v4 e) R3 X
ARIMA, 季节和非季节性单变量模型的极大似然估计 : P# z: |1 v& X- G3 ^+ j( L- o
Arithmetic grid paper, 算术格纸3 A5 f& ^% u& p( ^, S) A
Arithmetic mean, 算术平均数/ `( }3 }5 n, k$ M/ G: q/ _, H0 c
Arrhenius relation, 艾恩尼斯关系/ Z+ \6 e# @0 m c: R
Assessing fit, 拟合的评估1 P( ?+ r/ N5 D) [
Associative laws, 结合律# c& g( w4 K/ K7 r; H; E
Asymmetric distribution, 非对称分布3 B5 Y( f2 o5 R( U# t
Asymptotic bias, 渐近偏倚
z8 `* H9 N; ?2 f8 rAsymptotic efficiency, 渐近效率
; \) p+ r3 V8 \* C% VAsymptotic variance, 渐近方差
4 c1 N) p- X: U q1 W( hAttributable risk, 归因危险度6 e w4 h% \% T! X4 K$ K/ W* g
Attribute data, 属性资料
- k2 M1 w; W) t. rAttribution, 属性
}& F& ?& s' D: s4 o, IAutocorrelation, 自相关1 z4 @0 O. z. M5 e% l; z& i
Autocorrelation of residuals, 残差的自相关
, B$ A6 N) d- B0 f; N5 oAverage, 平均数
" _& k- p5 r8 A: ZAverage confidence interval length, 平均置信区间长度7 T* ~; ?8 v: ?9 @9 m
Average growth rate, 平均增长率
! ^. T D, F; ^6 { `7 a3 c2 oBar chart, 条形图2 d: e% T7 L! j! C
Bar graph, 条形图
: @0 z8 z, A* ~# \; z& H; rBase period, 基期, ]: F: T; d h& S) N1 d- e( V
Bayes' theorem , Bayes定理
0 g# u0 \/ m+ l3 N2 Y' f& C6 l zBell-shaped curve, 钟形曲线+ Z t+ c: k6 X) Q3 o# X, J
Bernoulli distribution, 伯努力分布
1 B6 a8 E% Z$ c5 PBest-trim estimator, 最好切尾估计量' y, R/ X% s& {; B6 i" Y; f& n. h
Bias, 偏性
6 o1 x2 U6 }4 ~4 t @8 n: ]Binary logistic regression, 二元逻辑斯蒂回归7 I0 M% k2 |4 ?+ b) u* X& P
Binomial distribution, 二项分布# n4 ~1 q, H N" I4 ~
Bisquare, 双平方
: A4 ~& N( n2 ?' ?Bivariate Correlate, 二变量相关7 u' o _" E/ z6 z
Bivariate normal distribution, 双变量正态分布
& I% b7 B# X" b; EBivariate normal population, 双变量正态总体
/ n, @; w ]3 U# g1 x4 d! u2 ^1 IBiweight interval, 双权区间
1 k; C& x" v# }* `: p5 x1 ]Biweight M-estimator, 双权M估计量9 t; t% h/ C1 C# d/ ^8 U* ~! O: \
Block, 区组/配伍组
' g5 A4 p7 a6 y9 sBMDP(Biomedical computer programs), BMDP统计软件包0 u" J6 P1 h8 u3 i
Boxplots, 箱线图/箱尾图5 R. W/ x9 N {& X9 W, l
Breakdown bound, 崩溃界/崩溃点2 k' o. \' m' E& J! W# L
Canonical correlation, 典型相关. Q0 b4 } `- L5 z
Caption, 纵标目2 J6 D/ V! G7 C. u, N" Y
Case-control study, 病例对照研究; O" X% e" [( y. j* T
Categorical variable, 分类变量
2 F- h7 f L: R4 LCatenary, 悬链线
9 X( j1 t" U" ?) {2 W) `Cauchy distribution, 柯西分布
$ ]+ I* K/ N8 I1 U5 E" T& P h% \Cause-and-effect relationship, 因果关系
, t/ z M5 r8 h9 {1 Z" [ iCell, 单元
; J) \ g! W. G8 i6 ICensoring, 终检5 ~0 \; Y% V, Y4 W( x0 M
Center of symmetry, 对称中心( q1 w: n, s$ @/ \ b4 r
Centering and scaling, 中心化和定标
0 w& M/ P) M9 x$ mCentral tendency, 集中趋势' }( X) o4 L9 U1 V
Central value, 中心值( A2 p+ M, y [2 w! Y
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
& T9 t* T; k' Z) o, L( ]5 R% QChance, 机遇
7 ^+ d1 n1 S9 ~/ n% p& W TChance error, 随机误差
3 g/ f; f/ ~, s* f- dChance variable, 随机变量 `( S |& K Z- s9 `1 U
Characteristic equation, 特征方程) u& u9 Q# a5 U2 T$ G( C' |
Characteristic root, 特征根
/ B M& j% M K+ J" f7 O1 N! [Characteristic vector, 特征向量
' F$ {- H7 g! T- w& y* jChebshev criterion of fit, 拟合的切比雪夫准则4 e1 g7 R% k7 m( J/ N) O
Chernoff faces, 切尔诺夫脸谱图" R3 P& [4 Z4 U5 L
Chi-square test, 卡方检验/χ2检验
2 T2 M9 s# G% C, H* X6 J. D* VCholeskey decomposition, 乔洛斯基分解9 c! h5 V K3 H/ r
Circle chart, 圆图 4 B6 g, |0 v3 W1 h
Class interval, 组距4 X4 ~- B% c3 B1 S: x
Class mid-value, 组中值
! _* Y$ y6 G4 H: HClass upper limit, 组上限
4 z4 f$ _; U, K: XClassified variable, 分类变量6 B3 [ U- b2 Y: F8 l; M
Cluster analysis, 聚类分析4 }: d7 U- F8 D# p4 S) m5 F
Cluster sampling, 整群抽样
$ w( V) z& ]3 S8 u% Y( d3 sCode, 代码4 k/ | w0 ]0 e! {! V! ~
Coded data, 编码数据/ |3 O; E% b3 `2 N% k. k
Coding, 编码7 Y1 X8 t3 t8 M4 U/ {+ g. ^
Coefficient of contingency, 列联系数$ Z D( U" j# k X; |" g" v
Coefficient of determination, 决定系数
6 ~0 Y' _, I, p% g( KCoefficient of multiple correlation, 多重相关系数
+ o0 q/ x* ?$ ~6 J4 XCoefficient of partial correlation, 偏相关系数* l$ k" o0 t% h0 ^
Coefficient of production-moment correlation, 积差相关系数( n' S+ K/ _3 j6 Q" v( N
Coefficient of rank correlation, 等级相关系数
! A: a0 G0 f8 V0 [Coefficient of regression, 回归系数, K+ R8 w" `+ h
Coefficient of skewness, 偏度系数
5 [0 n* V8 O/ X7 R3 J; _Coefficient of variation, 变异系数
% G5 C, N! V& i6 qCohort study, 队列研究
- [5 F# a4 p, w) S7 \Column, 列2 z8 N: h7 W- v
Column effect, 列效应: d5 P5 O. }& U8 R
Column factor, 列因素6 y! \& p/ x+ q) W
Combination pool, 合并
2 O d, m" k& cCombinative table, 组合表. B$ W& ~( A* s- C# p/ y
Common factor, 共性因子
: q0 b* z3 \& A0 x4 MCommon regression coefficient, 公共回归系数' z8 L7 {8 h- P
Common value, 共同值
M) b8 u4 O: R( r2 @1 UCommon variance, 公共方差/ w/ o+ ^2 t; l7 ^- W. q
Common variation, 公共变异2 E0 o' w3 w1 i: \. R2 u
Communality variance, 共性方差
: o& A5 |1 n4 w+ e+ F! e& X/ OComparability, 可比性. b5 S X/ l( |4 V, k6 Q
Comparison of bathes, 批比较
8 o# e, m8 v/ H; `1 yComparison value, 比较值! p0 T* m6 l: P9 m7 d
Compartment model, 分部模型
$ R" U3 L4 V: {1 a+ yCompassion, 伸缩( u% {! N$ a+ ?
Complement of an event, 补事件 N. [; }: X% S# W) z @1 y. z
Complete association, 完全正相关
+ m, I: [6 |" [4 EComplete dissociation, 完全不相关
7 i0 ^$ ~+ B0 _& V2 yComplete statistics, 完备统计量
6 X) a4 [' t: ` q, R8 gCompletely randomized design, 完全随机化设计: O. Y2 z0 E3 y+ x/ }) C
Composite event, 联合事件
( `5 j5 z5 [7 Y- f& pComposite events, 复合事件' J6 [$ B' d7 r# r
Concavity, 凹性' _& l6 i6 {9 e; x% O& m- o# J' z: }
Conditional expectation, 条件期望
1 ?, n( j5 ]) o- c, X e X- j% gConditional likelihood, 条件似然7 b. p8 j: r( q; \6 W8 F- n V5 n2 u/ R
Conditional probability, 条件概率
, l( O5 }, S, O+ i Q# wConditionally linear, 依条件线性
3 y+ @8 I6 w* |9 P8 I0 sConfidence interval, 置信区间3 g2 {$ s, `1 A, m( w: ~0 h$ Q. {
Confidence limit, 置信限
! o. [, I( k) e* uConfidence lower limit, 置信下限
! ?: L8 k2 B& U! O1 V: @Confidence upper limit, 置信上限
+ Y2 p7 v' s$ g1 z/ d& w9 [Confirmatory Factor Analysis , 验证性因子分析: G6 j# m5 Y0 T+ D2 H- E0 `
Confirmatory research, 证实性实验研究
, x; n1 o3 V0 e/ w, n2 U, zConfounding factor, 混杂因素; E8 t8 C$ o. O) a7 M4 [
Conjoint, 联合分析
% h W" d) l% {4 M( D' w9 MConsistency, 相合性
$ L3 E1 X3 R8 H. C6 @Consistency check, 一致性检验# C4 t1 |/ Z0 z) |
Consistent asymptotically normal estimate, 相合渐近正态估计
' @2 w$ v6 x, Q% |8 \Consistent estimate, 相合估计
. k/ G6 U% L( \; A3 wConstrained nonlinear regression, 受约束非线性回归
. t6 X+ e6 |) t; }Constraint, 约束
1 a6 V/ f. }1 ?8 {! v6 \8 p; L' H; ?% eContaminated distribution, 污染分布3 l/ a; }! o$ `3 {7 F3 j
Contaminated Gausssian, 污染高斯分布
2 H1 B2 P" `' I* v4 u9 y- J3 K& {Contaminated normal distribution, 污染正态分布
2 n5 b$ S# p; S8 @Contamination, 污染
) y: C3 o# v2 k+ E' C1 x eContamination model, 污染模型
& s* L2 F, T3 f ?: H/ n& ]Contingency table, 列联表+ ^' b# L4 Z; x; `7 `2 J+ ^, ?
Contour, 边界线- c2 x$ [: e2 _: R) C
Contribution rate, 贡献率* d) v( b/ e0 v& Q" I* l, @3 M
Control, 对照7 s% }* Z7 g6 \- I3 ^& \- A
Controlled experiments, 对照实验
1 o9 d. m/ l0 D6 b5 G. [8 x; WConventional depth, 常规深度
/ i3 n8 ^- w6 X5 w8 t& s1 p; [; cConvolution, 卷积
/ d0 k0 R: d3 W' B% S M1 d ?Corrected factor, 校正因子$ v T6 U) J9 o9 b9 G( K
Corrected mean, 校正均值
$ [, ~( I3 E$ n" n0 l$ t8 QCorrection coefficient, 校正系数1 s- w) m- C( t, w/ E' x
Correctness, 正确性
5 s- d: f0 ^0 B, A5 U6 RCorrelation coefficient, 相关系数4 y2 X8 @3 \6 n4 j& H. l
Correlation index, 相关指数- m! P; [. N+ ?, B& l1 k+ ~
Correspondence, 对应
3 \6 D& V- p @9 ?' c: |* F/ OCounting, 计数
. ? i, {# h& r% R3 A6 d# J- L, }Counts, 计数/频数% Y" @! z' V3 Y
Covariance, 协方差( z8 u) g/ w7 ]- x+ J/ N
Covariant, 共变
8 _' D. g$ S* Y( G" ?7 T4 ~Cox Regression, Cox回归
& o2 G2 X2 e: y8 h# S0 {7 q% eCriteria for fitting, 拟合准则
- D) q6 w4 O5 y# Z% H/ N9 zCriteria of least squares, 最小二乘准则
, l7 s) M) g+ j, ? w9 v6 PCritical ratio, 临界比8 ]0 y+ Q/ I) ^$ z4 `# J
Critical region, 拒绝域' \& M: K1 G; Z3 n
Critical value, 临界值
2 H4 k* D) [9 [8 z+ B+ B. a& eCross-over design, 交叉设计4 _# m( z3 t! u% I( K2 E, r
Cross-section analysis, 横断面分析; R5 c9 c& j- J+ P1 Z: R
Cross-section survey, 横断面调查
4 P) e& C8 F4 h5 \5 {Crosstabs , 交叉表
6 p) w. i4 L3 ~Cross-tabulation table, 复合表, s' y4 H% r9 g+ \, a. y
Cube root, 立方根( k% @9 h" H: Z
Cumulative distribution function, 分布函数
3 b6 }- q( \& s" C! Q) u2 cCumulative probability, 累计概率* z. I, O# Q' g9 {8 ~! t
Curvature, 曲率/弯曲4 N6 a/ Q- R# z/ U. K& Y" J
Curvature, 曲率9 @ Q I* |6 H# _2 h- n
Curve fit , 曲线拟和
7 B% W! C) x t; J9 PCurve fitting, 曲线拟合+ k2 e0 D {+ a7 g8 n
Curvilinear regression, 曲线回归
1 ]6 e9 a+ Z4 b% h" K5 ]; lCurvilinear relation, 曲线关系
- F. ]- O) N- V3 `Cut-and-try method, 尝试法
" \$ _7 I- L: q. |" x8 J% NCycle, 周期
% m$ d- q9 C4 g9 y2 S- _/ DCyclist, 周期性' }7 t; @9 n6 z, \# ^
D test, D检验' E: v9 h% ?' K" n7 s. X d' r8 K
Data acquisition, 资料收集- v. P4 E( Q7 e. E+ @
Data bank, 数据库/ H: j+ T7 |* e1 p/ K
Data capacity, 数据容量
6 B1 C, v. B2 L- F! X$ L% wData deficiencies, 数据缺乏
+ ^ t# x5 C- O+ ]3 TData handling, 数据处理
' r1 |6 [1 e, VData manipulation, 数据处理
& }2 H+ i* q3 F% RData processing, 数据处理
$ y H* ]. O8 X" W* B! r; HData reduction, 数据缩减
8 i5 K3 I0 n0 w5 r7 dData set, 数据集/ l+ S9 }8 Z3 {; X( L
Data sources, 数据来源0 Q0 X$ e! s7 K' l; d; [
Data transformation, 数据变换
. T5 @2 V& F$ P9 KData validity, 数据有效性
/ k! c8 z3 K% M+ z9 ]9 B* pData-in, 数据输入6 ~" }0 }2 O5 c/ U: @+ s: r6 Q1 f
Data-out, 数据输出
- O/ i; G4 B, I* c( _' NDead time, 停滞期
; B4 |5 h2 K8 n) u( f% V& M8 mDegree of freedom, 自由度% u% S* Y2 H) U) ^. @5 V$ e+ j
Degree of precision, 精密度
, D4 F$ M- z3 |. e; rDegree of reliability, 可靠性程度
" o/ D! o- }: U9 J+ [' XDegression, 递减5 r7 }5 D5 B) u5 D/ Q
Density function, 密度函数
) a+ _0 o6 K9 K2 @" MDensity of data points, 数据点的密度
. c* S4 S2 ^( _- w1 j( S+ D1 }Dependent variable, 应变量/依变量/因变量
% T! Y: |- S; X; [9 M, q2 ODependent variable, 因变量- S: d* o c9 Q( c! [ a% B
Depth, 深度# v8 k o# l, R0 t0 O/ k4 }
Derivative matrix, 导数矩阵
3 g) C2 r" o$ `5 T! ?5 t! U& fDerivative-free methods, 无导数方法% K7 }# p, }9 F1 \$ f! A
Design, 设计8 p# Z' ^9 F. b+ C4 F" }
Determinacy, 确定性
% _6 m; x. V, J n- vDeterminant, 行列式 l3 Q4 j. I' ^$ c, v' K. X( c; Z
Determinant, 决定因素
# o0 v3 T0 [0 g& MDeviation, 离差) n: M8 R' t+ C) p& o
Deviation from average, 离均差
$ R% t! ?4 E% |* Z4 W. dDiagnostic plot, 诊断图
! \3 |% }7 y1 Y( DDichotomous variable, 二分变量
`5 M" u6 Z8 T# `2 cDifferential equation, 微分方程0 U& E, {3 v$ ^2 |- Q, n0 f
Direct standardization, 直接标准化法- ^3 N% q+ B% i- O2 W- O
Discrete variable, 离散型变量
* p( e9 U$ G- a% eDISCRIMINANT, 判断 ; ~' h$ d& a S5 c2 Y# j2 g0 [
Discriminant analysis, 判别分析
& z+ S) v9 s+ R- fDiscriminant coefficient, 判别系数4 G9 D$ u9 D+ F: a% L: ? p
Discriminant function, 判别值* F" g' P7 v5 [2 r9 z
Dispersion, 散布/分散度
+ S/ I' D0 f9 U6 v0 u6 Z/ l& e: NDisproportional, 不成比例的, [5 l1 V1 X, D4 b M, d4 Z
Disproportionate sub-class numbers, 不成比例次级组含量# Z V8 \. `+ ^7 f5 x% K
Distribution free, 分布无关性/免分布
9 I6 m1 u! S8 f$ oDistribution shape, 分布形状
1 V; L. O9 o3 b: j+ PDistribution-free method, 任意分布法
0 K: K U% _6 wDistributive laws, 分配律7 E2 f: S: Z) I1 O# R
Disturbance, 随机扰动项7 i+ p# w/ _8 A9 V) i1 @ H; l* k
Dose response curve, 剂量反应曲线
a" @& D- z. v1 z, a, w" VDouble blind method, 双盲法- N, D# g! A6 S, o9 q" }
Double blind trial, 双盲试验
' \8 r; \+ w) }Double exponential distribution, 双指数分布/ k9 Z w/ r0 I+ b! l( C& K
Double logarithmic, 双对数
: z$ i8 U" C! f1 A9 UDownward rank, 降秩
- P" W3 v' ?: t4 t0 g3 IDual-space plot, 对偶空间图
4 _7 K8 L1 w( W8 L6 u L6 Q! KDUD, 无导数方法
$ J' y t. ]: S, c4 ?Duncan's new multiple range method, 新复极差法/Duncan新法
# B9 H7 C- a5 ^" _3 dEffect, 实验效应
, f3 e/ t* v2 ~) h, B" X% v" P# R9 TEigenvalue, 特征值! H* v7 R& h0 b1 p+ Z- s: `* h. P
Eigenvector, 特征向量
) I/ V1 R+ ?, _+ W8 P( PEllipse, 椭圆( y, x4 f4 V+ M$ `3 f& q
Empirical distribution, 经验分布6 T2 s6 q( J% C$ s5 k* A |9 x
Empirical probability, 经验概率单位4 k' R' |% G# h k# d: `. c
Enumeration data, 计数资料
$ D* f% d) B. N" }( W2 fEqual sun-class number, 相等次级组含量
1 J- G( t. @: t6 G3 qEqually likely, 等可能
/ q6 p! w' g' ]! L" c; zEquivariance, 同变性" j q0 R9 ^. _' [8 w" Z; F
Error, 误差/错误, [4 B6 V1 ]8 f @8 N1 z
Error of estimate, 估计误差 C+ ~ ^& Q! i
Error type I, 第一类错误
$ a, b* d4 w3 d/ o j _Error type II, 第二类错误/ ?! I& M+ y* T, _3 d
Estimand, 被估量
) X; |5 b& K8 b' \$ m( Q0 BEstimated error mean squares, 估计误差均方+ L# p" J4 A p9 g. ~) l. L
Estimated error sum of squares, 估计误差平方和
L& f' v \& _$ c- y5 G4 kEuclidean distance, 欧式距离4 R/ p( H0 e$ v E) X. O# O
Event, 事件
: [. i* t. _) wEvent, 事件
' j/ O+ K; n& Y9 E% r9 XExceptional data point, 异常数据点
: y! ^; B/ s% [; j( A( `7 ]! }Expectation plane, 期望平面9 y1 ]' r' T* g2 x
Expectation surface, 期望曲面4 y- ^. ^. J. v
Expected values, 期望值0 D; ]6 G! ?& t# P$ a1 m
Experiment, 实验
0 s$ A* E7 m5 d* }+ l d' G5 _Experimental sampling, 试验抽样
; b, E9 B' W$ g1 z4 Q5 \Experimental unit, 试验单位9 w# _* W% O& M8 @9 {7 J/ j
Explanatory variable, 说明变量
. f5 y8 H& q5 V* r% RExploratory data analysis, 探索性数据分析
4 F" Q( D8 ?% I; HExplore Summarize, 探索-摘要
+ z* d# B M2 h! ]# N( MExponential curve, 指数曲线) s. @& {- F& c( N9 @' n, U" ^9 U& p. @
Exponential growth, 指数式增长& D/ I* R4 V$ \$ D9 R& K
EXSMOOTH, 指数平滑方法 R" k5 v* m% K! q1 j ?# N% Z
Extended fit, 扩充拟合* i5 X2 }0 R8 f/ z: j( Q
Extra parameter, 附加参数0 u1 \5 ]% X. D: v
Extrapolation, 外推法
. L9 Z0 x6 g5 y; E( A4 tExtreme observation, 末端观测值
! M: a, p) \0 x/ OExtremes, 极端值/极值
7 h1 n6 q5 O% D6 B: `9 u1 O" A2 pF distribution, F分布5 y4 V6 c- x; l' D/ R& p$ ~2 M
F test, F检验% ]4 m0 e$ o% [. S6 G
Factor, 因素/因子
. C) A3 @( R: P L0 n# BFactor analysis, 因子分析
5 z# K2 l; u- o- m3 e- IFactor Analysis, 因子分析- V1 \% f8 V+ q! H$ n( N
Factor score, 因子得分 3 Q `2 v# l) |. \: X, D
Factorial, 阶乘6 f% g$ a, e- m' L4 z: k
Factorial design, 析因试验设计
' P7 i- v0 k/ R9 Q- O) s' |7 BFalse negative, 假阴性2 w$ \- @% k# v0 }) e. R
False negative error, 假阴性错误! o* J8 _4 `7 h6 a8 B2 W1 O
Family of distributions, 分布族
- F) B0 e4 }% a# v. P1 I- OFamily of estimators, 估计量族; A8 P5 H8 y+ E8 {
Fanning, 扇面$ y" ~7 L- d$ T
Fatality rate, 病死率, _( W$ w: s; v% v& i" J$ i
Field investigation, 现场调查' K5 O# H: [/ a2 X0 q$ N: q
Field survey, 现场调查
. f2 v d# W& ^6 S2 N9 D* S+ \Finite population, 有限总体. c! v' ]; D; b; T9 s; c
Finite-sample, 有限样本
9 k" I7 W; d4 X( IFirst derivative, 一阶导数2 Q# x/ C5 S) H$ L
First principal component, 第一主成分2 f& `% P/ r; S, C! |5 Z2 H
First quartile, 第一四分位数
: W) O# L# }* A4 X: \* x0 rFisher information, 费雪信息量
* _$ d+ d/ |( i5 d8 N9 v& C, JFitted value, 拟合值6 B4 Q& J. e9 x/ s( R& I* }
Fitting a curve, 曲线拟合
6 E0 e4 v, ?" ?+ E0 ?3 HFixed base, 定基 V6 C" L8 b% ]8 |6 ^8 P
Fluctuation, 随机起伏4 H! Z6 Z7 |) X2 R* |
Forecast, 预测) q6 X1 J: o# V" W
Four fold table, 四格表6 M+ K& @# G8 I! q% B
Fourth, 四分点
5 O& J0 U4 J3 T: EFraction blow, 左侧比率
$ @7 G, I$ E( S$ G. V+ m& H4 J. \Fractional error, 相对误差6 v8 b8 b! x' ~* J; N. C3 C
Frequency, 频率# q/ U( Q3 P3 t% Y2 G
Frequency polygon, 频数多边图
: Y' t$ X# d1 d, C; `: ^Frontier point, 界限点$ j; h6 Y3 h% a% k, }2 |$ R
Function relationship, 泛函关系; q4 n: E* z" v+ t& V6 U) }
Gamma distribution, 伽玛分布
0 o2 [. Y% A0 T+ ?8 ~4 Y) zGauss increment, 高斯增量3 u/ D8 S C0 J- W# E
Gaussian distribution, 高斯分布/正态分布$ K$ F0 i. E8 b2 g" \' K3 ]- {
Gauss-Newton increment, 高斯-牛顿增量& G3 A* x/ P' e% Z" D
General census, 全面普查
) \7 q& d0 N) w( r/ H4 `: cGENLOG (Generalized liner models), 广义线性模型
; n" C% i3 z! W: VGeometric mean, 几何平均数% |- k9 Q3 |9 k2 H, H9 x
Gini's mean difference, 基尼均差
+ T0 E9 W% S$ B9 v$ L7 f8 TGLM (General liner models), 一般线性模型
6 J( l5 r% ]2 [. y0 ~$ SGoodness of fit, 拟和优度/配合度
6 j6 t- @7 }7 A. O0 bGradient of determinant, 行列式的梯度
% R* ]; g5 E' J* j- RGraeco-Latin square, 希腊拉丁方- t8 e8 s- y+ i, ?
Grand mean, 总均值" {% y' y w4 i2 p7 i0 R- U
Gross errors, 重大错误
! `' Y' G9 E$ q0 c3 L$ b( x9 \4 RGross-error sensitivity, 大错敏感度0 I) y. i6 K2 `5 h7 `8 Z( c+ g. {
Group averages, 分组平均! B. t' D6 t- z7 T7 s& \
Grouped data, 分组资料
: ?. O0 i, ~ M- H7 [7 g+ ^Guessed mean, 假定平均数
4 n" t% g5 U% ^& [Half-life, 半衰期
" I# r; x% W8 O# a- uHampel M-estimators, 汉佩尔M估计量/ E+ H) u6 e4 u8 X& g3 `! G
Happenstance, 偶然事件' J& G. K3 C; ~- J' T# q
Harmonic mean, 调和均数
- ~/ K! F3 a5 p- `Hazard function, 风险均数5 M# V- \6 `# c1 _0 Q0 i
Hazard rate, 风险率
; B) p+ e' ]2 n1 AHeading, 标目 + [. o+ ?$ o3 |! l9 I4 ^
Heavy-tailed distribution, 重尾分布( a; A+ f G, g# e3 M* K3 b
Hessian array, 海森立体阵7 E8 `& v5 j4 s' e1 u: M) a. U
Heterogeneity, 不同质! B; G. n0 d2 o2 C' t$ F, C
Heterogeneity of variance, 方差不齐 ( S+ [" i% N. }% m* C* u5 [
Hierarchical classification, 组内分组: N7 X( F. D- S3 |3 F( u
Hierarchical clustering method, 系统聚类法# v/ i0 c+ L1 ~" B/ y5 [$ O
High-leverage point, 高杠杆率点
6 I. u9 q+ c7 E2 V6 O RHILOGLINEAR, 多维列联表的层次对数线性模型. o T+ X0 b1 G1 }
Hinge, 折叶点: Z4 S; g% y% P+ Y& ^$ q8 i
Histogram, 直方图
! L2 K! l0 Y! M2 s/ s3 [Historical cohort study, 历史性队列研究
5 }$ \( y9 j- ~6 r: b) U; I6 N7 FHoles, 空洞' F, ]2 `/ v- R4 I" F/ T1 y9 F
HOMALS, 多重响应分析* G, M, A0 | V: A; B( R7 {
Homogeneity of variance, 方差齐性
/ p8 T) Q* h, s* V4 A# AHomogeneity test, 齐性检验
4 l, v; W7 m1 d: ^3 Z7 C: hHuber M-estimators, 休伯M估计量4 ^ d5 P" k& v% J' Q+ x, ?
Hyperbola, 双曲线
: ^4 i3 D$ ]9 R+ ~% X5 q* THypothesis testing, 假设检验4 c& c7 k$ d, f$ |
Hypothetical universe, 假设总体
, [' ^( @' N! `Impossible event, 不可能事件! |5 g i, Z- Z) t! P1 H
Independence, 独立性4 E& s; i' i. d8 a8 C$ G
Independent variable, 自变量' s# S7 ^3 E f' @
Index, 指标/指数$ C V7 S; Y8 f# V3 T
Indirect standardization, 间接标准化法. p1 K6 z D! v$ s
Individual, 个体5 \; @3 |. A9 f
Inference band, 推断带
2 u: L7 o* {# F MInfinite population, 无限总体
" s# i- F7 q+ Z: m1 CInfinitely great, 无穷大& |" Q% ], O8 Y
Infinitely small, 无穷小- ^# t$ ]3 `5 A
Influence curve, 影响曲线: \4 _4 K7 _& Q. r
Information capacity, 信息容量5 F! k& i |2 T6 }/ y
Initial condition, 初始条件* B9 w; M& B4 u
Initial estimate, 初始估计值% U! m9 S: x* ?
Initial level, 最初水平
) z" T# q+ n$ {1 U9 {. l, q CInteraction, 交互作用 @( ]4 t' t ~: `4 Y% w, J/ V
Interaction terms, 交互作用项
i6 p. h3 _; Q) P6 O7 u% @" dIntercept, 截距
+ K5 I2 k2 J: BInterpolation, 内插法
$ ^ Q6 u5 L6 hInterquartile range, 四分位距( u$ b. U; _! U. b0 y/ K
Interval estimation, 区间估计& y! [) A9 q8 o. |3 T
Intervals of equal probability, 等概率区间+ D. k" m2 e0 |8 u
Intrinsic curvature, 固有曲率
' O. K" k1 I# k9 r5 Q3 {0 v* T& oInvariance, 不变性
, B; H* \* T- D# j" Y- _7 H" QInverse matrix, 逆矩阵8 @' e0 @* M5 g- L9 x
Inverse probability, 逆概率' q, ]' \3 j# t- ~: a X/ Z8 K/ Q
Inverse sine transformation, 反正弦变换( G, `; G2 e6 d; I
Iteration, 迭代 % |4 J3 D$ u# V! a% G R0 @
Jacobian determinant, 雅可比行列式
/ E- [1 u" s3 e6 [* vJoint distribution function, 分布函数
5 N I: W0 ?$ ^0 E$ b6 |% iJoint probability, 联合概率2 `7 U' G5 X! E5 A# A5 U
Joint probability distribution, 联合概率分布8 k- V* F. {4 i5 N# b4 q5 f X
K means method, 逐步聚类法
9 N( b( r/ ^9 F$ s! |Kaplan-Meier, 评估事件的时间长度
* K4 w- N) `+ q' NKaplan-Merier chart, Kaplan-Merier图
3 j0 O+ I# H9 ^8 O4 O. YKendall's rank correlation, Kendall等级相关
1 X/ Z& h: ]0 V" n4 | [* `6 gKinetic, 动力学
- U: A: }0 X3 _2 tKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验6 j; i( n/ U. m" j
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验4 L D) Z* p; t% R, ^9 e) s+ ?
Kurtosis, 峰度( |$ f5 E# M% m7 r6 C* S8 [, T# P
Lack of fit, 失拟
# A: y9 O; n; |& U, j7 V1 j: _' T E: kLadder of powers, 幂阶梯9 |" @% ?; H8 c7 H. Z6 `
Lag, 滞后8 o* C( D3 m1 u. [9 k7 | r2 z
Large sample, 大样本8 ?' C$ ~/ i0 \# x u( _3 B
Large sample test, 大样本检验
' d& _9 H4 z6 z0 G; p$ {0 N) VLatin square, 拉丁方- ~0 F7 M0 l/ z
Latin square design, 拉丁方设计4 y& u$ k! l0 g
Leakage, 泄漏! R$ ~; Q7 y# E
Least favorable configuration, 最不利构形
7 O; x. j# w! s2 R2 N7 T, v1 nLeast favorable distribution, 最不利分布
* G" a5 Y8 z& H' N% jLeast significant difference, 最小显著差法: I: J3 ~& V/ E+ G4 i- K1 O
Least square method, 最小二乘法' q' V0 P; I4 \ j4 A
Least-absolute-residuals estimates, 最小绝对残差估计% b- Y7 e3 U5 Q# X& x
Least-absolute-residuals fit, 最小绝对残差拟合* t9 Q. a, A8 q' w3 x* t
Least-absolute-residuals line, 最小绝对残差线/ w5 W; i8 q, f C' w( o& L
Legend, 图例
- n3 Y$ N9 j2 ?9 r( xL-estimator, L估计量* d0 ^: X( M( C* T* P
L-estimator of location, 位置L估计量9 S+ s, J- t, y
L-estimator of scale, 尺度L估计量
% x' f2 o8 w* X; e, ALevel, 水平, Q( r* x& H1 u9 c/ s
Life expectance, 预期期望寿命) c- i, [# {9 l; P+ J
Life table, 寿命表+ P \; s+ t% A- O; [
Life table method, 生命表法. N; t, k: s5 N: z/ E+ \3 J+ }
Light-tailed distribution, 轻尾分布
+ O ? g- V, y" uLikelihood function, 似然函数
$ y, C- _" Q5 [9 [6 U W, B* ^7 ALikelihood ratio, 似然比8 G0 S! Q/ S. ^. {$ n
line graph, 线图: t4 c# _' g& ^6 w0 v
Linear correlation, 直线相关
% c: d! Q9 E! G& P% T4 ~2 X- F r5 QLinear equation, 线性方程
r l8 N2 s7 y. zLinear programming, 线性规划
7 Z& U' S/ {& v& s+ Y% w' xLinear regression, 直线回归
, X# u- n( G8 U: ?Linear Regression, 线性回归
# ?1 v# u+ g. D. T# I7 H JLinear trend, 线性趋势$ j7 S; x+ j l& |
Loading, 载荷 9 k9 ?/ A+ P! n' S% v1 g2 @
Location and scale equivariance, 位置尺度同变性
, H' x/ F6 b+ J" e: G- j* {! Y: X/ SLocation equivariance, 位置同变性5 b4 p- W6 |% i8 ?
Location invariance, 位置不变性+ {6 ]9 ^; r& f' {
Location scale family, 位置尺度族1 W, S# K/ K( Z8 V( Y" k0 u
Log rank test, 时序检验 ! a5 t2 H: w: u+ l8 \
Logarithmic curve, 对数曲线' C7 C+ ]/ R* w4 h* n- Z2 Z" Z' Y6 |
Logarithmic normal distribution, 对数正态分布" Y0 o% T+ r$ r
Logarithmic scale, 对数尺度( d- M/ _) @4 f8 S5 P J, |
Logarithmic transformation, 对数变换1 J& ]3 G2 l; y9 R* _
Logic check, 逻辑检查
& l; o) }' d: bLogistic distribution, 逻辑斯特分布6 ?- L) Y# X+ A+ M0 S e
Logit transformation, Logit转换3 c1 A! C3 X+ A. O$ R# ~/ s& y; {
LOGLINEAR, 多维列联表通用模型
8 F: }. s* G% |Lognormal distribution, 对数正态分布
1 k" v6 r& {+ Z0 cLost function, 损失函数8 r$ p4 L* g- x
Low correlation, 低度相关; t( C. t T; [/ f/ N$ [
Lower limit, 下限5 `1 i" i, D1 |
Lowest-attained variance, 最小可达方差
5 q' S, I# a. M! wLSD, 最小显著差法的简称
! Y; Z- `5 U0 i- a- q1 L4 [7 e, zLurking variable, 潜在变量% } S7 `( }# S" @5 R, r
Main effect, 主效应
) L; G6 D( A4 G6 j% {Major heading, 主辞标目- G: g9 r e4 M+ p. P6 ?( @5 }
Marginal density function, 边缘密度函数
0 U0 Q$ O/ v& g' c- U. YMarginal probability, 边缘概率
' ? E" L5 I& C2 b' NMarginal probability distribution, 边缘概率分布
" b1 _0 D4 c# X: T# LMatched data, 配对资料0 C z9 s6 `# R; \) ^- f. o
Matched distribution, 匹配过分布
8 @3 f. {- L7 W+ f2 WMatching of distribution, 分布的匹配
& z7 W% r. |, a8 K) G* _; I* |4 iMatching of transformation, 变换的匹配
c- {9 _0 A; @4 n- T( `Mathematical expectation, 数学期望# M9 R# A: o. n& i! e. a
Mathematical model, 数学模型
) n; I6 ?" B. A5 ` U/ z% rMaximum L-estimator, 极大极小L 估计量
" `2 m% l0 |. W, O w% k1 ^Maximum likelihood method, 最大似然法
9 t. ~6 Z5 G4 a! y. n; l8 S! I; D) A; L" ZMean, 均数
" I5 n. H* ^, ?8 N _Mean squares between groups, 组间均方
$ r d" t! q4 v; m- e8 D sMean squares within group, 组内均方& b# D6 \" k# d' `; r% C
Means (Compare means), 均值-均值比较
' T. }5 O( p% pMedian, 中位数3 a' U3 T" O! F! N) |
Median effective dose, 半数效量% }/ M& j8 ^+ M3 d) h
Median lethal dose, 半数致死量' P+ V( c/ y6 q1 b" h3 |- W
Median polish, 中位数平滑
% k; \0 j$ {( [Median test, 中位数检验# m5 d& f# ~4 s( A" W7 |
Minimal sufficient statistic, 最小充分统计量7 E! r2 t8 I+ M' Q! u0 \$ @+ `2 o
Minimum distance estimation, 最小距离估计8 \6 f2 { a+ v- V
Minimum effective dose, 最小有效量+ ?( `8 ?0 }; r, o# ^
Minimum lethal dose, 最小致死量( z; J; }' f2 ^
Minimum variance estimator, 最小方差估计量
" u% p D' \$ x* q6 qMINITAB, 统计软件包7 j% U9 B9 x. N# R; T, c& d
Minor heading, 宾词标目
2 J" J' X/ ^5 }7 W& P' w% ^Missing data, 缺失值
( |( c3 P* n* j' L- H* eModel specification, 模型的确定/ P' p: E& {4 m; m) z. z! E. b
Modeling Statistics , 模型统计
$ T2 z( U/ {! i& p8 ^7 t+ VModels for outliers, 离群值模型& B) T7 q" |9 x8 @) q
Modifying the model, 模型的修正
) @; a* Q$ q0 n- W3 hModulus of continuity, 连续性模8 i/ D" H" \& J4 z; q
Morbidity, 发病率 8 e1 ^5 c! W* F) W6 g3 r
Most favorable configuration, 最有利构形
7 R6 |# F6 _+ r& Q! L: K, ZMultidimensional Scaling (ASCAL), 多维尺度/多维标度) Y. i# i0 A9 T- R P
Multinomial Logistic Regression , 多项逻辑斯蒂回归& T- d: m1 D- y/ U* R. y# W) ]
Multiple comparison, 多重比较# a2 i; ?& K2 A: ]6 k+ R- c
Multiple correlation , 复相关
- m A+ a# `" w* ` K! ^Multiple covariance, 多元协方差0 |5 s7 j4 w1 y3 j( x
Multiple linear regression, 多元线性回归( o# Y3 r. }/ y. A8 E9 m2 m& B
Multiple response , 多重选项
* p( F9 n, d+ W5 u# rMultiple solutions, 多解1 R- j% `! R) g: p- [
Multiplication theorem, 乘法定理
- P8 _! N2 ~9 c5 PMultiresponse, 多元响应
3 H" h7 B/ i* k) Z9 G( G7 vMulti-stage sampling, 多阶段抽样8 f L/ C( K: [4 m# o Z
Multivariate T distribution, 多元T分布+ j5 {, t+ T1 s6 f. \4 ~ @
Mutual exclusive, 互不相容3 Z# N0 ^3 |3 {3 [
Mutual independence, 互相独立
6 r! I! P7 k* oNatural boundary, 自然边界
; f% Y* K( i% b1 d% N9 E- d; RNatural dead, 自然死亡
% a1 `) w- m, A, N/ RNatural zero, 自然零
/ u. ~6 Q+ A& b4 r, }Negative correlation, 负相关# ^) z: L# M# w
Negative linear correlation, 负线性相关$ _2 e8 |: \$ n8 w* E
Negatively skewed, 负偏
, f. _ o+ t. X/ |* _0 {6 P# l) tNewman-Keuls method, q检验
! d/ R! G8 F! \* g! f/ |, tNK method, q检验
/ a; f4 N r5 i& B; E8 G% ?7 I- MNo statistical significance, 无统计意义
% o5 J( y! k8 N$ _Nominal variable, 名义变量6 r5 }+ {) X: P# I
Nonconstancy of variability, 变异的非定常性
# U2 z7 p( {: b8 C5 `8 I4 ONonlinear regression, 非线性相关- K: ^3 Z9 @+ _# i
Nonparametric statistics, 非参数统计
* k0 q, Q8 p" M2 mNonparametric test, 非参数检验3 \3 w6 D( Q: p( b1 `( p
Nonparametric tests, 非参数检验
, x! j7 h1 n0 {Normal deviate, 正态离差: c& P, @4 ?2 F* r6 C* d
Normal distribution, 正态分布
5 L1 N' I: ~4 `6 yNormal equation, 正规方程组* F* }+ N/ w( |& Q: C1 P! ]
Normal ranges, 正常范围
" _" m% s- P. H$ {2 l. cNormal value, 正常值
6 Z3 m' \1 N. p. t$ |Nuisance parameter, 多余参数/讨厌参数& \0 G5 N+ k/ h! B9 K# P
Null hypothesis, 无效假设
4 C& W0 B) Y8 I u7 v/ zNumerical variable, 数值变量3 {& j. ~; Y, _6 H b
Objective function, 目标函数; B; ~( [2 t6 N, b; c! @/ {
Observation unit, 观察单位2 E- }; {5 i* A# k; H9 B5 |5 {
Observed value, 观察值4 _5 B0 a3 M; C# w8 y* A
One sided test, 单侧检验4 G6 s; w p5 o% o! ^6 H6 N- J
One-way analysis of variance, 单因素方差分析
. r8 ~3 `8 X# W2 W) A; ZOneway ANOVA , 单因素方差分析% Q; }4 t6 |5 m% _9 W
Open sequential trial, 开放型序贯设计
# U E' V; K- G4 u. D$ O- ZOptrim, 优切尾
/ S( M _3 ]/ w8 kOptrim efficiency, 优切尾效率
! G! a( p1 [, k! ~5 Z1 E5 b8 t1 OOrder statistics, 顺序统计量4 Z8 l; @9 I! y* L6 G0 o2 l2 Z, M5 v2 N
Ordered categories, 有序分类
0 w$ j9 n6 F0 d# t) g/ qOrdinal logistic regression , 序数逻辑斯蒂回归) B+ J3 h4 [. a; G: x+ q! G
Ordinal variable, 有序变量
% `% i2 V' L2 B5 y. MOrthogonal basis, 正交基' r# K- s/ |. M/ V# `
Orthogonal design, 正交试验设计- m. c p) Y9 K3 {' O. o8 Z. O! h
Orthogonality conditions, 正交条件
* j8 l" y {: V+ a# w* JORTHOPLAN, 正交设计
+ j j( f0 C$ r8 OOutlier cutoffs, 离群值截断点
& \: R3 j4 b% `+ POutliers, 极端值
% @6 D2 F6 h* y/ F5 q' }1 E( G3 COVERALS , 多组变量的非线性正规相关 3 e" a- ]- v4 P. o: d m& \
Overshoot, 迭代过度
: ~8 j+ W" ^2 m7 WPaired design, 配对设计
( U/ K9 T2 m1 v3 k. @! [Paired sample, 配对样本
8 F7 _; F1 u2 W6 Q6 k- fPairwise slopes, 成对斜率
4 ~# j2 M. {2 h" K7 \; N' ^% b' a# WParabola, 抛物线
; u; }3 E9 B8 Z E7 hParallel tests, 平行试验- L/ ]$ o6 A* k# f# K" V
Parameter, 参数/ f% P9 t5 ?" S& `
Parametric statistics, 参数统计
- R! {% z, J; h1 ]Parametric test, 参数检验
Y& ^9 G6 G4 p* s8 |Partial correlation, 偏相关6 \& X1 Z$ F5 R2 V9 R9 ?0 g2 K
Partial regression, 偏回归- \/ v: e$ l+ B- |/ y
Partial sorting, 偏排序
8 y( ?- E* W5 \Partials residuals, 偏残差
% M3 ~1 z# a" n9 pPattern, 模式( {9 N. j* \, f8 ^" I" J- s
Pearson curves, 皮尔逊曲线
+ n( y0 d* T% ~9 K% MPeeling, 退层+ G! ^# y0 A3 u/ m3 s' N' l7 L
Percent bar graph, 百分条形图
! |" W# \3 @8 J% X: \+ yPercentage, 百分比- b, D% I( L$ U- G: b
Percentile, 百分位数 A8 s. p- h" f0 V3 R0 M
Percentile curves, 百分位曲线* O+ x9 M% P# Q8 i6 z) G4 o
Periodicity, 周期性, c) Q6 w' h s( d9 W& B# `& w
Permutation, 排列7 }' d: I8 c4 G @0 T4 ~; i
P-estimator, P估计量
1 N0 {" J- @5 Z( X% b; Z4 c6 bPie graph, 饼图
8 K" S+ H% M: \6 a/ `) r- Y; f* V" FPitman estimator, 皮特曼估计量0 a$ d$ D v C$ @; V4 f1 s
Pivot, 枢轴量' d6 x- d# l9 F5 A+ V4 c
Planar, 平坦0 o8 J3 M; e6 w4 a4 Z( o/ r4 I2 d0 T
Planar assumption, 平面的假设2 d/ I; p9 ?0 K& m& H
PLANCARDS, 生成试验的计划卡' P: S" } ^- z9 ~
Point estimation, 点估计
% S+ \& E- B& J1 nPoisson distribution, 泊松分布! d# d& ^. j; F& M- Z0 D$ U
Polishing, 平滑/ d# V+ y# G" a. m
Polled standard deviation, 合并标准差& Z* T5 t' H4 g
Polled variance, 合并方差% `' ~7 G+ k; z! D* }
Polygon, 多边图
5 V6 O$ z* ~. q* s- e+ gPolynomial, 多项式
# O9 I. ^) s" p( p6 h7 k% SPolynomial curve, 多项式曲线' z6 V" X2 o% @% y' R2 @
Population, 总体
, N* b* S h( Y; K! @9 zPopulation attributable risk, 人群归因危险度* W0 u/ [6 p2 s. s
Positive correlation, 正相关0 O, b& K A3 ?
Positively skewed, 正偏* R" |. |$ q6 j- u+ `
Posterior distribution, 后验分布
2 T$ H6 ]% Q. q* \Power of a test, 检验效能 X4 y; y2 q$ a7 N0 t! w; H
Precision, 精密度
* ?+ H3 p1 C$ j7 `Predicted value, 预测值9 H; q: Q5 T. @
Preliminary analysis, 预备性分析1 L# V1 c u3 v' k! O
Principal component analysis, 主成分分析: K0 g0 R8 B' o5 N1 q
Prior distribution, 先验分布0 h1 o& B1 j/ r& g1 n
Prior probability, 先验概率& \, Z% [ R7 x
Probabilistic model, 概率模型' R% I1 z u9 L( H ~/ L
probability, 概率
+ ?5 \, I! S) v; TProbability density, 概率密度, k) K# D, x$ C) S7 R8 V
Product moment, 乘积矩/协方差
! D5 e3 W' \, U( W8 vProfile trace, 截面迹图
: }7 t' Z1 b7 x% R+ J9 b9 a+ i& bProportion, 比/构成比
; [ _* X8 u5 HProportion allocation in stratified random sampling, 按比例分层随机抽样
0 Z( N% F' l: {2 a- |Proportionate, 成比例/ l) B& J. T5 t3 _& {
Proportionate sub-class numbers, 成比例次级组含量
0 G0 p* K7 d0 [5 P' OProspective study, 前瞻性调查
9 p! ^* z& B* ?# C; ~Proximities, 亲近性
. Y% W6 H. n1 I/ E( wPseudo F test, 近似F检验
. C3 ^9 Q+ z7 i A) K( ePseudo model, 近似模型3 L8 d4 l0 a8 S ~" ~
Pseudosigma, 伪标准差6 N: A0 j, w- E
Purposive sampling, 有目的抽样
- L! u" ^, S, v' {/ `QR decomposition, QR分解7 p. ^! t, m( {1 l: j7 L" H
Quadratic approximation, 二次近似 s/ L, M/ u+ E2 n2 C* z- I$ {$ `
Qualitative classification, 属性分类
4 |7 a% Y4 p8 Z& T1 p b2 tQualitative method, 定性方法
# t: }$ Q( \% n% q9 L5 XQuantile-quantile plot, 分位数-分位数图/Q-Q图- I7 S# j4 M0 Z
Quantitative analysis, 定量分析
- n, H+ g/ c2 G4 OQuartile, 四分位数/ P( ?( F; w; T/ G. s
Quick Cluster, 快速聚类
# K6 b8 [8 Y9 o! qRadix sort, 基数排序
/ [9 w6 ]$ J0 wRandom allocation, 随机化分组0 l% C1 O7 f z8 b0 b2 B8 S
Random blocks design, 随机区组设计
$ \( Y! Q8 {, N' b, |. TRandom event, 随机事件
& r; H* W' m3 e3 X' oRandomization, 随机化2 ~. v# u1 u# k9 {& G
Range, 极差/全距, c; w! Y: ]: t/ Q$ L, z
Rank correlation, 等级相关
) s; d7 J# ?/ D# XRank sum test, 秩和检验
2 |( \: e, P, j: n* q8 X2 XRank test, 秩检验
. C; M' z4 j9 B7 E& `$ J; b$ XRanked data, 等级资料, m2 V2 _' K) |; A( h( D) m8 @
Rate, 比率* m. v# p. `- i& W' j, M
Ratio, 比例$ }4 A6 t1 H9 h+ G6 s
Raw data, 原始资料- E- V4 D; C8 X$ b
Raw residual, 原始残差# D% V* J$ t( {* m' R
Rayleigh's test, 雷氏检验7 U% F1 \% d- I j2 M
Rayleigh's Z, 雷氏Z值 9 K6 z) \' l9 {! k6 G& p" U
Reciprocal, 倒数8 e' x k( p9 O) O' w
Reciprocal transformation, 倒数变换
# X6 g; t2 _# s# z; n: `( p# A2 PRecording, 记录- D! t) d- Q( d( ?; K1 O+ \
Redescending estimators, 回降估计量 I& D$ ~5 M: }1 v. m
Reducing dimensions, 降维
4 \ M5 M+ N- L7 d9 u2 }Re-expression, 重新表达
/ h9 J# ]" k- J# M$ O/ o" y; cReference set, 标准组8 K$ Y0 \" ^6 A
Region of acceptance, 接受域; X, u3 f6 D: T4 i( {/ Q3 K' D
Regression coefficient, 回归系数 @; O2 a4 a3 }
Regression sum of square, 回归平方和/ n" ?( R0 {- m% z% J0 x
Rejection point, 拒绝点" Y5 b4 d8 f2 s* V
Relative dispersion, 相对离散度 O+ \! j2 V1 F' W! ~9 |
Relative number, 相对数
" ^- P( B" ]' _1 IReliability, 可靠性7 {9 Q6 p( N4 V. H( N
Reparametrization, 重新设置参数7 ^% n/ o9 C0 E$ j# Z
Replication, 重复
( F' v. r4 K$ {& K; @/ T! {+ _, uReport Summaries, 报告摘要
) Y4 K1 e y$ ]6 n$ Y7 [! FResidual sum of square, 剩余平方和( K3 J: s7 Y2 L
Resistance, 耐抗性
% x/ Z4 D1 v' pResistant line, 耐抗线
! V; i: n/ p" X) h/ p4 {5 SResistant technique, 耐抗技术
" [7 `' _2 a. _R-estimator of location, 位置R估计量
2 u% a1 W7 G" J4 K: C, f. h# I4 hR-estimator of scale, 尺度R估计量; i& q8 b6 w2 j0 J; n- k4 X
Retrospective study, 回顾性调查
, U1 v4 Y% r2 w, zRidge trace, 岭迹
4 h! c) t2 A; IRidit analysis, Ridit分析
6 t- n# o" ^' ARotation, 旋转8 s( B3 B2 J, N, H2 x- D2 D
Rounding, 舍入
2 B) c( Z2 ~" n! m3 Y& I# HRow, 行
/ x# ^* |! o4 v5 ~Row effects, 行效应
: }+ l4 Z& c. N F. R# ARow factor, 行因素
9 H% B/ {: Y2 ^0 V% sRXC table, RXC表
: K/ f; {) K, a8 `2 O {Sample, 样本
K- ^: ?* c/ L9 N. kSample regression coefficient, 样本回归系数
/ v k' M' ]. S5 h. SSample size, 样本量
4 ]! k! m( W# [+ T6 A6 m# `# TSample standard deviation, 样本标准差0 {- N* E6 |" m4 x) {' G* E4 ?
Sampling error, 抽样误差# x% \1 U7 A# [
SAS(Statistical analysis system ), SAS统计软件包
" h6 t: @6 [9 M6 Q& p- z0 E' {% ?7 hScale, 尺度/量表
! e, r3 x) W# q" Y! z9 H8 X- m% VScatter diagram, 散点图
6 i9 v0 b3 y8 a4 L5 c# }: {Schematic plot, 示意图/简图8 p) N; Z' p! f9 U% i/ r# K* p4 L
Score test, 计分检验
* D" J) O$ U ^% q, Q7 @0 sScreening, 筛检
3 J% f' r3 v. S. _% J+ _# w5 x# L4 `SEASON, 季节分析
: R [, w2 m" o# w9 J6 F- qSecond derivative, 二阶导数5 m% R. Z4 T( E# L
Second principal component, 第二主成分& i5 A) i5 Q& x: D4 `2 B. s
SEM (Structural equation modeling), 结构化方程模型 3 ^" y# T! D% P A
Semi-logarithmic graph, 半对数图
, T8 \- W7 G. a3 G* F/ r, C5 iSemi-logarithmic paper, 半对数格纸
/ M5 n& w& ~2 x% p M' P; B" vSensitivity curve, 敏感度曲线' N2 @# H) u( c) ]; Y3 d) S# Z0 O) W
Sequential analysis, 贯序分析6 w# g5 f0 Z( o' K- ~/ h6 I4 K
Sequential data set, 顺序数据集
8 Y5 m: X0 ]) Z2 @2 ?* DSequential design, 贯序设计
" L% I7 M; v; W$ I5 ^Sequential method, 贯序法9 P( W# p- p9 u$ H/ C6 h/ B
Sequential test, 贯序检验法
$ q1 G* o/ v+ N. `# V7 ?5 ?Serial tests, 系列试验$ l2 |3 ]: c$ ?/ c
Short-cut method, 简捷法
& f8 T. Q% u4 B. s% V$ bSigmoid curve, S形曲线) z* i+ h: z9 j. l" m( O% r$ ?
Sign function, 正负号函数
" U( y- d0 m8 C( \# K6 q( DSign test, 符号检验; b, D+ e" d. V' ?: {
Signed rank, 符号秩: I$ [( q- r, i" s& h
Significance test, 显著性检验
1 p0 s* s2 X: _* b; F! cSignificant figure, 有效数字& c7 |& p: H3 H+ B( G* i( B1 U
Simple cluster sampling, 简单整群抽样, k1 D) q7 Y3 Z4 {
Simple correlation, 简单相关
, _+ Z: O |9 uSimple random sampling, 简单随机抽样- J7 u& e/ L7 F0 M9 L+ x$ Z5 w
Simple regression, 简单回归9 j; B6 B6 N3 [1 e$ Q
simple table, 简单表7 e) }! y/ _( F1 d- Q
Sine estimator, 正弦估计量( u. }4 T" R8 N( ^; w* g
Single-valued estimate, 单值估计% {- ]/ ]1 g6 y1 ~
Singular matrix, 奇异矩阵7 H2 i% ?/ o& w5 J- C+ b3 s
Skewed distribution, 偏斜分布
% d8 P6 ~/ Y7 N7 C8 V, h8 RSkewness, 偏度
% L" w. @ B& Y d0 C6 {' F5 iSlash distribution, 斜线分布
$ Q2 o K. N/ ~9 u) rSlope, 斜率
: ?( }6 r; b2 n1 d/ ?) QSmirnov test, 斯米尔诺夫检验
% l- c2 e+ _# T, ]2 S3 ISource of variation, 变异来源2 ?0 ^) r! c/ N4 S2 z' o, a
Spearman rank correlation, 斯皮尔曼等级相关
9 B- v8 K4 G% S: _Specific factor, 特殊因子
3 V6 y b/ Z6 r% }7 ?' |Specific factor variance, 特殊因子方差/ M. w) c' {5 r& [; I% b, j4 x: f9 a. w
Spectra , 频谱: V# h0 b) I6 ?0 ^+ c
Spherical distribution, 球型正态分布4 F+ F: j( Z" \* \4 Q" w. ~6 c% [
Spread, 展布' ~& R. w+ _2 Q4 X2 `$ U1 u
SPSS(Statistical package for the social science), SPSS统计软件包
! e2 C% o7 O$ h1 OSpurious correlation, 假性相关
+ A. I1 F) g5 W0 f- `Square root transformation, 平方根变换
6 Q1 n& B( L! Y! ~- lStabilizing variance, 稳定方差9 ^) B/ M$ m/ w
Standard deviation, 标准差: L4 b% K1 S! F0 p. i6 g
Standard error, 标准误# p/ `# z# W+ D& E* Q$ q4 p3 |6 ?' Y
Standard error of difference, 差别的标准误8 u1 |! S- T% n$ F9 s- \
Standard error of estimate, 标准估计误差. e, T4 }2 ?6 ?! G
Standard error of rate, 率的标准误
. ~- k+ q0 Y3 Z: R+ J9 f" nStandard normal distribution, 标准正态分布+ \ k2 B; [3 O4 k" t
Standardization, 标准化
- R. l" p/ B! p o; `% JStarting value, 起始值, ~/ V( \+ q1 n, J& @7 S; R# D3 [
Statistic, 统计量
+ R! r9 k, H) A; r, N" AStatistical control, 统计控制
3 s2 ]% e2 {0 F6 O) O! [Statistical graph, 统计图& T6 q+ y0 C1 u# Z* w( T6 ?$ O
Statistical inference, 统计推断- V) }2 a( U9 ^5 g# Z, q
Statistical table, 统计表
) I6 P% p$ r; s0 pSteepest descent, 最速下降法0 R+ i( V& @2 [5 A1 w4 K
Stem and leaf display, 茎叶图
1 E3 O# c( o, J5 J- J/ rStep factor, 步长因子( ?# I9 M4 C9 {, `% l
Stepwise regression, 逐步回归
: u' X2 }" G. T" h" W" V& x% M( U2 `8 @Storage, 存+ ~* Y" e1 {% T# v
Strata, 层（复数）6 H* P$ u# @" D
Stratified sampling, 分层抽样
, e- @# L: }3 nStratified sampling, 分层抽样
u" j( v/ K7 j- eStrength, 强度. ~& f7 _: Q; C1 g- B2 r5 g
Stringency, 严密性
- n+ f0 [) d3 D4 P/ q: D* KStructural relationship, 结构关系
2 k i" M1 Z9 v( A" W, g& NStudentized residual, 学生化残差/t化残差* u6 H7 t- Y$ z* w$ X$ p
Sub-class numbers, 次级组含量
# U+ q. V( D' Q OSubdividing, 分割* ^) @, z$ I8 Q+ m
Sufficient statistic, 充分统计量1 }( R/ `6 o: o+ T
Sum of products, 积和% Z# Y8 @$ [9 R4 ?7 L2 b6 I
Sum of squares, 离差平方和
0 `8 n+ w& F' n7 QSum of squares about regression, 回归平方和) G4 A2 V& y; m7 h$ Q) |1 n5 P
Sum of squares between groups, 组间平方和
4 M, `+ Y7 K! hSum of squares of partial regression, 偏回归平方和+ Q' A" M9 ?& C) A4 \( D
Sure event, 必然事件
% n, Q) y A2 K: ~3 hSurvey, 调查
' b! i% Q/ w& C/ a" j5 m8 TSurvival, 生存分析
. _" k$ z! `* X& w pSurvival rate, 生存率3 ?7 Q7 K$ j2 [$ n7 i( o
Suspended root gram, 悬吊根图$ b- o9 C# F+ h% C1 l
Symmetry, 对称
; |1 e- m# j) z. F |2 sSystematic error, 系统误差
% m# X5 u& ]/ a: y) dSystematic sampling, 系统抽样
2 b% m* a3 F# D6 M/ qTags, 标签
" n3 d0 ?% ^; K% B( uTail area, 尾部面积
0 o: K% }% q4 t% ~Tail length, 尾长0 e1 b) l4 t# H4 O; ]" c! a6 i
Tail weight, 尾重
$ `5 \6 u: T# B* hTangent line, 切线5 S$ |2 z {% u2 g; k6 l
Target distribution, 目标分布+ ?5 o3 ]* Z) Y. n/ n
Taylor series, 泰勒级数6 P1 h: A$ T$ p# l* q
Tendency of dispersion, 离散趋势! G% a9 u( {8 S; |2 S+ S! E% n
Testing of hypotheses, 假设检验
' _: h M$ d4 r8 Y z4 uTheoretical frequency, 理论频数
, ]+ G& N6 v# ^$ C5 v1 o' a2 s2 ITime series, 时间序列7 Z/ u3 x" m2 b/ H: p
Tolerance interval, 容忍区间
7 y: ~8 M( I$ o# ~) X8 S7 oTolerance lower limit, 容忍下限/ i$ t. _; [# y2 X
Tolerance upper limit, 容忍上限1 C1 Q1 X) G6 G
Torsion, 扰率
: ?, ]& W1 w! OTotal sum of square, 总平方和
5 o2 W, |; f' a1 I: R2 ^' S# N4 eTotal variation, 总变异% b5 F `+ P3 b2 t: M" L1 U
Transformation, 转换
. ]- S* U$ z( \" iTreatment, 处理
0 ?& \$ k$ @6 Q$ b5 lTrend, 趋势
' P+ c0 U; ]8 J7 \7 o& _- |/ ZTrend of percentage, 百分比趋势* Q3 x2 q! d- r. _& ?9 y
Trial, 试验
9 U, T$ ^' e+ a2 iTrial and error method, 试错法
. q8 P' P2 a2 `% }Tuning constant, 细调常数; g9 `5 L- x4 l) z8 d. W3 u, c, q
Two sided test, 双向检验1 p* l2 J3 C( K0 S, ]5 ^1 e8 m
Two-stage least squares, 二阶最小平方2 ]1 j g$ u# @: e$ ?
Two-stage sampling, 二阶段抽样& \/ ]4 i* c& K) @
Two-tailed test, 双侧检验
W2 |: O+ `& R& E! u9 FTwo-way analysis of variance, 双因素方差分析
3 C: K7 h/ ^- P6 v# |Two-way table, 双向表9 f7 A# Q1 s; a |
Type I error, 一类错误/α错误# @, c. X4 U1 ~3 @; ]0 I( D6 J
Type II error, 二类错误/β错误+ s, o( A% ^- \$ H8 i' B" Z
UMVU, 方差一致最小无偏估计简称9 ]3 `1 Z1 c& O) X! b
Unbiased estimate, 无偏估计$ T8 p/ r9 m7 b) y! Q7 ~9 X7 W
Unconstrained nonlinear regression , 无约束非线性回归- N0 }! b$ Y3 d$ |0 @* i9 Y
Unequal subclass number, 不等次级组含量
4 F# F* l3 ?4 e7 c0 PUngrouped data, 不分组资料+ H& { v2 T" F! C v2 |
Uniform coordinate, 均匀坐标
( x" K7 P# r- [' x5 W! Y& FUniform distribution, 均匀分布
% p6 u/ t( {. [: I6 ?* _6 kUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
6 x/ z' i, m) i6 b/ t1 b) EUnit, 单元+ o, ?: t4 m4 C- l |5 _
Unordered categories, 无序分类# }4 I1 _6 A& F0 r4 N
Upper limit, 上限2 i& g/ f$ \: T+ g( E V
Upward rank, 升秩
`0 D8 \/ N: P, `Vague concept, 模糊概念& \6 c" Y& X5 r7 U4 p6 b3 b$ J
Validity, 有效性* A% m' U' H4 m( \8 v( G
VARCOMP (Variance component estimation), 方差元素估计
; h4 r2 }* }7 ZVariability, 变异性7 H6 W& F# R" q+ ^9 w. n' I. t2 ^
Variable, 变量
, k" x E2 s; pVariance, 方差( N+ t# z+ E' {2 l
Variation, 变异
- ^% ?; g: O9 C! nVarimax orthogonal rotation, 方差最大正交旋转
, X) O' c; R' `( A- K/ ]Volume of distribution, 容积8 A( B& s( W7 I- Z
W test, W检验
: Q( V3 Z3 i3 K7 eWeibull distribution, 威布尔分布 {% ]$ Y7 s1 w: H" j
Weight, 权数9 O: S2 R% k! L4 S k- t1 b0 _
Weighted Chi-square test, 加权卡方检验/Cochran检验7 H( k& d0 v4 m3 y
Weighted linear regression method, 加权直线回归. f# D- n5 s( C* [, L) C! W
Weighted mean, 加权平均数
! z/ A2 }! H0 ?Weighted mean square, 加权平均方差
+ G) W* _( @/ @6 g! Z# b! S# S1 ]Weighted sum of square, 加权平方和
6 I8 H1 ?. F$ U1 gWeighting coefficient, 权重系数6 U, H: q: E, b9 B. g
Weighting method, 加权法
4 p3 m1 d' ^1 h+ yW-estimation, W估计量/ ?% m: [1 I/ }, k
W-estimation of location, 位置W估计量
' |( y F( A, q P' qWidth, 宽度
& a N) m- \5 P& P* OWilcoxon paired test, 威斯康星配对法/配对符号秩和检验2 C9 _5 g3 t, S, Y, Q" M
Wild point, 野点/狂点
3 F; F, |- S% Y3 a5 r( L% B) jWild value, 野值/狂值
. s% s8 N8 _2 q+ x# ?Winsorized mean, 缩尾均值. V L+ c4 q* Z
Withdraw, 失访
/ p2 Q3 r, ~1 \ A5 LYouden's index, 尤登指数
8 v8 `& z1 ^; X7 wZ test, Z检验
4 ]' f" o# `+ U- ^Zero correlation, 零相关
7 L H' N$ m9 L5 KZ-transformation, Z变换 |
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发表于 2009-1-6 22:05
