|
|
Absolute deviation, 绝对离差& y% g, X0 {+ l7 L8 K1 i6 B
Absolute number, 绝对数8 K" `1 C% x& H/ ]( @4 q# t2 D7 G
Absolute residuals, 绝对残差
2 j, F1 X9 m- h5 M2 D' m& B! UAcceleration array, 加速度立体阵
* K" G! |' l" MAcceleration in an arbitrary direction, 任意方向上的加速度) V! d8 ~- Q3 F
Acceleration normal, 法向加速度1 w' R4 }1 V# Z' R# v: G
Acceleration space dimension, 加速度空间的维数
0 c8 I u Q) E' ?! G3 @& aAcceleration tangential, 切向加速度, b U! E8 r) d
Acceleration vector, 加速度向量
; ?% o) u: T, \* q5 d' D& IAcceptable hypothesis, 可接受假设
3 w4 m% f( V. p7 _! C4 f! RAccumulation, 累积$ n( ?( T8 t6 |" }" d! N2 g
Accuracy, 准确度! i% v7 Y& l5 O2 G
Actual frequency, 实际频数3 _6 G) g$ p2 E, R
Adaptive estimator, 自适应估计量1 I2 m2 P, o6 \" n( s. a/ Y
Addition, 相加, `- Y5 u7 _, h l, i4 l7 W% _
Addition theorem, 加法定理
( }3 Y- N0 X5 Y2 n7 ?6 }Additivity, 可加性
+ F, v# q! O2 q1 q2 TAdjusted rate, 调整率! h/ y5 d" [! _, b
Adjusted value, 校正值5 X# w$ x( @3 n, P
Admissible error, 容许误差# x$ r; }0 u- {2 _) X: |+ \
Aggregation, 聚集性9 \- h2 r; v1 Z9 C0 y
Alternative hypothesis, 备择假设
; v% k7 {/ U, V/ K$ c% u$ JAmong groups, 组间# l Q0 f8 C4 h7 P7 x# y
Amounts, 总量
% [5 E ^2 \6 u% K: r$ gAnalysis of correlation, 相关分析
! c; n9 e3 ?5 c ~, g1 [Analysis of covariance, 协方差分析
+ r3 j( A% C, j7 A5 OAnalysis of regression, 回归分析
& |2 m: Y7 _, k% cAnalysis of time series, 时间序列分析' E* }5 k* P) m9 K8 L
Analysis of variance, 方差分析
3 E% c' w# x. Y/ A* }Angular transformation, 角转换
" J# q3 {- D& s9 O* i2 U% u& vANOVA （analysis of variance）, 方差分析
# A; Z% n2 C8 { a8 EANOVA Models, 方差分析模型
K5 N u9 s' r9 x* }Arcing, 弧/弧旋3 v- g& q, ?$ d, |0 u
Arcsine transformation, 反正弦变换
! ]8 B. T8 x' zArea under the curve, 曲线面积& |1 A% f! I) d! a7 n ]7 d& h
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
" j7 h2 B: X' ]. Q; Y, k" _4 q- j$ W% `ARIMA, 季节和非季节性单变量模型的极大似然估计 1 F @! {' R1 g. L1 C
Arithmetic grid paper, 算术格纸
9 K! ~) [4 `* k* ~' nArithmetic mean, 算术平均数
" \, P* t% C$ qArrhenius relation, 艾恩尼斯关系
x O" x1 `4 vAssessing fit, 拟合的评估2 f+ E, ~( N- I& }
Associative laws, 结合律. x& @& u! _% I
Asymmetric distribution, 非对称分布% d b4 u2 n7 Z8 n
Asymptotic bias, 渐近偏倚
7 z: N+ R J6 a+ E. LAsymptotic efficiency, 渐近效率( j l: [# N; K
Asymptotic variance, 渐近方差9 u" }& e ?9 }- ~
Attributable risk, 归因危险度+ L6 S @" K' z! j
Attribute data, 属性资料
( Z/ L6 { c( H1 UAttribution, 属性3 |0 L A; |8 m e( ]
Autocorrelation, 自相关
) R& V, {$ f/ G0 i8 V. V! yAutocorrelation of residuals, 残差的自相关# n' Z2 h# n1 j: |8 u% ^* O
Average, 平均数
6 p3 }+ N' _0 _+ LAverage confidence interval length, 平均置信区间长度
7 i/ t' y; v. a! fAverage growth rate, 平均增长率+ j. n& k( ^; X1 U8 j
Bar chart, 条形图4 B! z- P2 e c2 n2 d
Bar graph, 条形图
9 H9 W% j: i" H0 ^- Q$ X2 V# qBase period, 基期* p/ H' P% T* E' G
Bayes' theorem , Bayes定理
0 c2 J8 k6 ~/ s @0 s5 JBell-shaped curve, 钟形曲线7 o' _7 |5 C) f9 [! C
Bernoulli distribution, 伯努力分布
P0 e# a; l2 X, @+ y" {& i, v- ~. EBest-trim estimator, 最好切尾估计量
7 z, R, M$ P9 ?/ U- f# f7 F9 gBias, 偏性& q- c( S N! V; v6 K
Binary logistic regression, 二元逻辑斯蒂回归
( X5 _' r0 ]" j# @; YBinomial distribution, 二项分布: p0 f1 j: X( O5 q7 z7 d4 j
Bisquare, 双平方
9 b$ C" c `4 HBivariate Correlate, 二变量相关: L. u9 z: h; d$ Z8 k7 {$ x0 e
Bivariate normal distribution, 双变量正态分布6 I! m1 y3 Y% ^9 B7 x( g
Bivariate normal population, 双变量正态总体
$ c b" ^, U* d; _5 I2 uBiweight interval, 双权区间, t% }& C9 e" }, l4 d2 j
Biweight M-estimator, 双权M估计量
/ h( L9 h5 J9 [! p3 CBlock, 区组/配伍组2 M' ?* }" I3 L
BMDP(Biomedical computer programs), BMDP统计软件包) N8 E4 U! |0 V: ]3 _ b5 i. B W
Boxplots, 箱线图/箱尾图
3 n J* U$ w! a8 J# Y* F! c0 SBreakdown bound, 崩溃界/崩溃点
4 T; ?6 i" P( u5 ?5 ]" i- }, |Canonical correlation, 典型相关: j) U! E6 C+ `: `1 K4 o: U
Caption, 纵标目
/ P2 |# v4 ^/ oCase-control study, 病例对照研究7 h% ]2 G' s, }2 K& C- ^2 `, Y2 Z
Categorical variable, 分类变量
/ j1 m4 ~5 h! [5 A+ Q: T1 R$ ZCatenary, 悬链线; o% K2 S! ^/ \/ C4 J: U- ^4 b
Cauchy distribution, 柯西分布
# k+ M* Z1 \3 [Cause-and-effect relationship, 因果关系
) |( \% Y) f6 q0 ]Cell, 单元
( n! c6 L2 A8 x& y ~0 XCensoring, 终检
- D P% C( R5 ?7 y$ B# Z6 HCenter of symmetry, 对称中心
: |* _' Y8 }6 c) t0 x' r4 T! cCentering and scaling, 中心化和定标" R1 M8 F3 f+ L& l' x. t
Central tendency, 集中趋势3 c( g# H. M- W
Central value, 中心值
5 o1 v; \+ t4 U; @1 BCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
4 V; q2 `" `* N8 C" DChance, 机遇
2 {9 S5 \8 \1 b/ |. g6 W5 i9 wChance error, 随机误差
3 t, K6 _0 P: g$ @8 R8 rChance variable, 随机变量
* P) r* _2 m; S# W. \$ pCharacteristic equation, 特征方程
; a, D9 T z, K1 E0 [) JCharacteristic root, 特征根" ?9 F" U* C, B8 Y$ s
Characteristic vector, 特征向量( T# B3 ^2 y- M( w s
Chebshev criterion of fit, 拟合的切比雪夫准则
5 ]( z9 j$ s) K* u1 k7 KChernoff faces, 切尔诺夫脸谱图
( k' C9 {8 R4 G% }Chi-square test, 卡方检验/χ2检验
0 P/ H* \: l+ L0 l) U$ bCholeskey decomposition, 乔洛斯基分解
5 t% Y! P, |" m; Q5 _( @Circle chart, 圆图
' T* A& h0 ]( F: R3 i0 DClass interval, 组距
6 \+ q$ w- T" ^% YClass mid-value, 组中值
9 ? J+ ~3 B/ a+ PClass upper limit, 组上限
6 e% k; y' y: q% z; WClassified variable, 分类变量( }+ K# h) W4 T# \, C
Cluster analysis, 聚类分析# H' Q2 R# O3 y* O5 i
Cluster sampling, 整群抽样 d- s3 T& C) q% B; s: Z) r( o
Code, 代码
k' v/ a, ]+ T0 P0 y- S3 zCoded data, 编码数据
8 ?/ u/ |# ?$ s% _' I! NCoding, 编码
m% ]- U4 D4 q4 O2 L( l( T" PCoefficient of contingency, 列联系数
- z+ s; y1 G& L0 _; t6 vCoefficient of determination, 决定系数+ ~% d' t0 n& E
Coefficient of multiple correlation, 多重相关系数+ ]1 ]1 l+ {: m: s% ~+ G8 \. x* p
Coefficient of partial correlation, 偏相关系数4 _! E0 m: R! o% c# \, ?
Coefficient of production-moment correlation, 积差相关系数
% Q. j6 d3 g% P2 f/ QCoefficient of rank correlation, 等级相关系数0 V0 G4 l1 w1 N2 q, X' e
Coefficient of regression, 回归系数
. e5 i# I6 }4 yCoefficient of skewness, 偏度系数
3 \- q6 g/ ?3 }Coefficient of variation, 变异系数' a) ?# u- O; B: u- K
Cohort study, 队列研究
/ y6 s* x3 f$ @, |7 a( N" [9 CColumn, 列5 E5 N& }% \3 k7 e. g5 U# U& ~3 l6 m+ n
Column effect, 列效应3 I1 O; k) {1 j& P5 j: i6 A# A
Column factor, 列因素# P1 _6 ~) x9 J
Combination pool, 合并 M2 L$ ]' k1 [, r7 R
Combinative table, 组合表
4 B6 w+ D5 F. b* {& R% gCommon factor, 共性因子
" l6 n, k" f3 ?+ H) PCommon regression coefficient, 公共回归系数
: v" b! ?# P$ ?% _Common value, 共同值2 T$ p9 e( v$ B# O6 d
Common variance, 公共方差
0 R( F h* @( } P {9 V8 _Common variation, 公共变异
& X6 \# K# s8 z/ M! X% `/ UCommunality variance, 共性方差
" x5 M' t q2 o+ wComparability, 可比性
2 K1 k* z. R% Z* e7 eComparison of bathes, 批比较: Q1 J$ s9 L$ J4 D V* M$ u
Comparison value, 比较值
; z$ ^2 j$ J* b; Z6 y! _Compartment model, 分部模型: ]! Q& n$ l* o4 y0 i( W* f
Compassion, 伸缩
3 {9 C5 E: Q8 y$ PComplement of an event, 补事件: q8 |3 o: m- Y
Complete association, 完全正相关
0 H/ f0 ^4 g; a' hComplete dissociation, 完全不相关
* p: `8 i2 i: I/ V3 J% KComplete statistics, 完备统计量
, m" _. a1 A6 \1 `, Q# vCompletely randomized design, 完全随机化设计
% B+ s# o) d( \0 ]! ^* A$ xComposite event, 联合事件1 q0 ? _+ s: v l, Z7 @( `
Composite events, 复合事件 A- a' k* s8 R
Concavity, 凹性
. q$ O: L0 A: K0 y. S& p: lConditional expectation, 条件期望- S) Y) V% ]- T e! W" u2 ~7 f, y- ?5 j
Conditional likelihood, 条件似然
3 T8 ]. W. A% N2 H" eConditional probability, 条件概率
5 W5 l! b% n3 n- M6 B$ ]Conditionally linear, 依条件线性
. @8 x# m" P& RConfidence interval, 置信区间
/ }5 X; G6 s: M% H' _# p3 nConfidence limit, 置信限
8 _4 T0 o v- \" bConfidence lower limit, 置信下限
' ]. e4 r5 _* z( rConfidence upper limit, 置信上限, i, \9 u1 f9 a* P$ A: u& \
Confirmatory Factor Analysis , 验证性因子分析: I) \* A0 Q4 c* r( q2 @ R# g
Confirmatory research, 证实性实验研究
o9 O& e- t; v% U9 c5 SConfounding factor, 混杂因素
* `& d6 p- D* B* l6 lConjoint, 联合分析 G+ o9 l4 k" o- P- @6 `! ]
Consistency, 相合性
! q2 {8 o" O( T( GConsistency check, 一致性检验
: v$ V7 S8 u: ~& i! ? h. CConsistent asymptotically normal estimate, 相合渐近正态估计
0 O, v' ]4 d% p/ o# JConsistent estimate, 相合估计
; B6 F; R& t$ {Constrained nonlinear regression, 受约束非线性回归/ y0 i9 f5 I: N3 Q4 U! p# M
Constraint, 约束
! r5 i! q$ g# X' j- a6 `Contaminated distribution, 污染分布
. \+ L! l- Q: A' X8 H% C5 L W% ]Contaminated Gausssian, 污染高斯分布1 @1 s" ?5 E7 k7 H% O
Contaminated normal distribution, 污染正态分布
# }" p& z& G+ l3 t& k0 SContamination, 污染. A& g; X( i' k, w0 Z
Contamination model, 污染模型! J# h! s% c, n2 q5 {. q; I
Contingency table, 列联表/ c8 @6 j8 U6 K
Contour, 边界线( u7 a6 X9 W1 x( V* q
Contribution rate, 贡献率
+ q2 A' Q/ P( j2 ]9 m' x ~Control, 对照$ M' M7 H; q& R( x( s# {: d
Controlled experiments, 对照实验2 B. @( ~! H8 r1 I4 S
Conventional depth, 常规深度/ Z7 X; j$ ~5 T$ }: j" c
Convolution, 卷积
9 @; e1 T/ P4 q/ ~Corrected factor, 校正因子* {9 Y# y, c( Y' p; E
Corrected mean, 校正均值
) X) O% m- @, W6 P" `1 A9 bCorrection coefficient, 校正系数* o* A" q7 b( \
Correctness, 正确性2 I% G. s4 {! O( Z! i
Correlation coefficient, 相关系数) Q, s2 C" q( Q$ s2 H3 w2 g
Correlation index, 相关指数# Z( n" V" k P6 L, k1 X& G$ G
Correspondence, 对应7 N1 z/ L# F8 s0 |; f, I2 N
Counting, 计数0 d8 ~( D. n, k, T9 m3 L" p
Counts, 计数/频数+ Z! H b8 F1 n/ b" _/ Y$ ~
Covariance, 协方差
+ D% Z% x! Y' |5 rCovariant, 共变
0 s7 S6 n8 i" G. ~Cox Regression, Cox回归- Q& |' A! k) n6 `& ~8 I" s* Z
Criteria for fitting, 拟合准则, F: G# [8 w6 o. j
Criteria of least squares, 最小二乘准则7 }, F" J F/ P; a# w: @' U9 k n
Critical ratio, 临界比
) t7 z' l7 _6 \$ ?; SCritical region, 拒绝域
3 i+ z1 n/ D9 b' pCritical value, 临界值 C; @% L# H `. y- Q5 r7 C
Cross-over design, 交叉设计6 x% ?% z- m8 I2 ^0 v
Cross-section analysis, 横断面分析& _# C* h1 k3 t9 E
Cross-section survey, 横断面调查 i% i: k& Z0 q$ {
Crosstabs , 交叉表
; x# u( {8 G5 b2 J3 H3 y" T( xCross-tabulation table, 复合表
7 ~& G0 e+ Z, ]+ ]8 pCube root, 立方根
: f1 p% [8 H! Y7 D) oCumulative distribution function, 分布函数7 |6 M) M* Q1 l" x* }; h0 s) s3 s
Cumulative probability, 累计概率8 N+ R N" _4 R9 T! f ^1 {% l& R" \& W
Curvature, 曲率/弯曲
( M5 y6 r' {$ bCurvature, 曲率! x: |' a+ Z4 G3 o3 {; g ~$ I
Curve fit , 曲线拟和 7 a! i$ B! G, t0 W) t
Curve fitting, 曲线拟合 }8 X' T9 t; g9 a( B9 P. C
Curvilinear regression, 曲线回归5 u- ?3 x7 U, }
Curvilinear relation, 曲线关系
& H/ S5 [- N: W& h- U6 c4 E. O: ^Cut-and-try method, 尝试法
8 G/ U* j( f- v# M t5 @) OCycle, 周期1 d* w' c( b; m3 F/ k8 b, m) u
Cyclist, 周期性
, l. O& b( J l* {8 q, \D test, D检验
+ K7 I! Z' F1 p% V: ^6 T' jData acquisition, 资料收集8 v% Q' S; j. E% K$ ~$ G
Data bank, 数据库8 U" e* t1 f# n4 r
Data capacity, 数据容量' Y/ P7 ~8 n8 d
Data deficiencies, 数据缺乏
( Z8 y+ X$ `+ j8 |% ^* |Data handling, 数据处理
+ h: J6 i+ l+ D2 d- V4 r: UData manipulation, 数据处理
' V3 y3 M: O! O) n; J" H- z$ o" x! eData processing, 数据处理# a6 s. K I: `) q A" d ^8 g
Data reduction, 数据缩减
) v7 r1 d5 q$ z2 W7 u, bData set, 数据集1 N: E9 b+ ^+ x; N' R v# t* t9 K# t
Data sources, 数据来源
a1 N+ h' h1 X/ H0 `( }6 fData transformation, 数据变换
, E1 \( \, H6 ?Data validity, 数据有效性
4 C3 T/ g, S- d6 O2 c6 p) I# A* ?Data-in, 数据输入
7 s) a5 M; T' a( NData-out, 数据输出
+ O* G7 r) J# q; Z. M S5 TDead time, 停滞期
' b* L: A7 L0 N! Y$ V, |Degree of freedom, 自由度/ r7 w4 k2 Z) L3 x# ]
Degree of precision, 精密度. P4 u" e+ e( J
Degree of reliability, 可靠性程度
- Z. I" [. [9 E) Q( iDegression, 递减
: V1 o- p/ u+ V( U6 e7 ~# CDensity function, 密度函数: I. F7 j' W+ w* [% }. I
Density of data points, 数据点的密度 U7 J8 J4 i" \; l' Z( M+ k
Dependent variable, 应变量/依变量/因变量
( f! |2 l7 @0 p: z3 R. UDependent variable, 因变量9 b' A- s+ _# X* G+ X
Depth, 深度8 v. d, L, g% O. g7 _9 w
Derivative matrix, 导数矩阵
+ t `8 [5 Q( U6 j. L% kDerivative-free methods, 无导数方法9 q4 Z" @! K% O( f3 n- G
Design, 设计+ \5 H8 G7 @0 o3 e1 R8 c
Determinacy, 确定性! w5 |4 ?* @1 @3 j# g
Determinant, 行列式
6 t! ]/ b/ E) H" C6 }0 XDeterminant, 决定因素
, S1 l( W, }7 l9 H- x- \! iDeviation, 离差
1 @+ }( h( K& U4 j% R+ xDeviation from average, 离均差
! o: O% l$ {+ q) PDiagnostic plot, 诊断图
! i: {; d' j+ Z& f7 z' N- @Dichotomous variable, 二分变量 n2 u5 S6 D0 \
Differential equation, 微分方程# V ^1 @ d- R
Direct standardization, 直接标准化法
$ U1 C- G7 ]/ C( G( S+ xDiscrete variable, 离散型变量5 v" z# q" o4 T8 n' G f9 [
DISCRIMINANT, 判断 6 g1 {* \/ S5 W% P5 g
Discriminant analysis, 判别分析
' _* B+ B' e2 P- X4 \Discriminant coefficient, 判别系数
/ {8 T! ~8 m& `/ bDiscriminant function, 判别值
, }; M. h9 A+ f% p6 iDispersion, 散布/分散度
" h9 r/ A; }; }Disproportional, 不成比例的
; X! a: j4 i; }- g% e3 y+ @Disproportionate sub-class numbers, 不成比例次级组含量- y. m6 T7 D5 h4 k/ a% m2 Q3 x
Distribution free, 分布无关性/免分布
8 ]1 ?' u9 K8 SDistribution shape, 分布形状
0 j/ _! ^( m! Y8 U* w& s- [Distribution-free method, 任意分布法
/ I3 [5 R5 A9 VDistributive laws, 分配律
5 @" T; `9 v) RDisturbance, 随机扰动项
M0 w; ?4 L8 YDose response curve, 剂量反应曲线
! I; T) r4 I* } qDouble blind method, 双盲法
" ^% m h- |- hDouble blind trial, 双盲试验
2 ?! |4 F2 M4 D8 L- I+ LDouble exponential distribution, 双指数分布
\7 p% U* a% ADouble logarithmic, 双对数. ?! j% t- v0 w: H1 `7 @
Downward rank, 降秩
4 `9 V/ ~2 r7 y: H7 hDual-space plot, 对偶空间图
; z+ c3 | v; N: [& v( {DUD, 无导数方法, \/ U9 [# ]: e6 s" b
Duncan's new multiple range method, 新复极差法/Duncan新法
. \: M+ t: ^7 a/ |( ~* ZEffect, 实验效应
# b% u+ g& u8 g1 f) TEigenvalue, 特征值
3 |3 {6 r$ Q( Q w( pEigenvector, 特征向量
( R: A7 C: ?, @6 X6 y3 F- IEllipse, 椭圆
! t& r! `* Q& S" R" BEmpirical distribution, 经验分布
# y# L8 S1 p" h7 P- O. b; AEmpirical probability, 经验概率单位
8 O! F6 f7 r" k' E6 O3 TEnumeration data, 计数资料
2 }" q" E/ `) Y- u% [Equal sun-class number, 相等次级组含量5 `8 C8 G+ ?+ B- x
Equally likely, 等可能! v9 s4 ?4 \9 _% s" i
Equivariance, 同变性
: f) _1 {* E/ O7 `# A" wError, 误差/错误5 D' V) M' Y) ^% b; @/ m
Error of estimate, 估计误差( l9 y6 \# x4 z$ M+ D
Error type I, 第一类错误& `! _4 B0 n# |* w+ P/ @: o' V
Error type II, 第二类错误
4 b* r1 Z( c+ p+ G; |* }; v$ c2 D1 @Estimand, 被估量
9 O- A; L) l$ }3 e) w8 `# N/ a3 TEstimated error mean squares, 估计误差均方; r' W5 |/ x: D) }
Estimated error sum of squares, 估计误差平方和
1 |% l$ f5 k4 hEuclidean distance, 欧式距离 F/ f9 Y `: F
Event, 事件+ c+ H1 L- S9 d7 D. s' p1 V8 C9 _
Event, 事件% H, z9 s" F# l) F* b8 w
Exceptional data point, 异常数据点
+ a# k" A, j% G; kExpectation plane, 期望平面: a6 ?& l5 e. I
Expectation surface, 期望曲面
& K; E& d& }0 f Q+ VExpected values, 期望值2 L; L! p; b8 M* K z
Experiment, 实验
$ z% D* ~' x2 `- x& f5 v$ D1 kExperimental sampling, 试验抽样4 a7 f# Z2 C( H3 @6 g
Experimental unit, 试验单位$ Q( T- C0 X& p# F% {
Explanatory variable, 说明变量
& x/ R7 H; s4 B) IExploratory data analysis, 探索性数据分析
7 {" B( W9 d' Q! u/ UExplore Summarize, 探索-摘要) U8 b6 [' ], I
Exponential curve, 指数曲线' ]* }3 c+ J( I% X
Exponential growth, 指数式增长; I& g2 n( a: S/ A, R- |
EXSMOOTH, 指数平滑方法
6 J. ^3 T* O8 z3 O7 e7 IExtended fit, 扩充拟合
6 ]8 A9 ?1 c8 ]9 \Extra parameter, 附加参数, D# I, t# i) Q7 l, e
Extrapolation, 外推法5 B4 L" p$ r' L/ P7 @( A7 c6 ~
Extreme observation, 末端观测值/ t7 R7 x4 ]. U" `9 _) h
Extremes, 极端值/极值
' w* K8 m2 @6 R9 o9 e) R$ d, T0 ?F distribution, F分布( c$ p6 C O8 W5 x1 x( H
F test, F检验4 o! U, ~4 I F# M2 P0 E
Factor, 因素/因子5 B6 s8 [* H6 G% T' P) k8 k4 |1 }: a
Factor analysis, 因子分析
4 M( y( w' b5 `% u' P& P1 F, nFactor Analysis, 因子分析( ~9 _: _% W) r' V; n5 p
Factor score, 因子得分
9 n7 |/ z* i9 hFactorial, 阶乘2 ^ u! T9 ?$ y; `5 Q
Factorial design, 析因试验设计# W6 a [9 k x1 @$ U% h( N
False negative, 假阴性8 Y" B5 p! @4 v. K/ |; o
False negative error, 假阴性错误
8 H* J6 K9 J/ L H3 y4 b: ZFamily of distributions, 分布族9 U; o* l' J* c/ q
Family of estimators, 估计量族+ C$ a0 O% p# V0 Q# K
Fanning, 扇面
, \' Z! T3 | D! ]Fatality rate, 病死率
+ W, y6 X7 [# |/ _: N* S) Q- fField investigation, 现场调查
% T7 Z. b$ K% }8 D7 T; vField survey, 现场调查6 _- U9 v6 I% u
Finite population, 有限总体
. X% ]1 Q" w& P4 E; P# yFinite-sample, 有限样本+ L% m4 R& R F
First derivative, 一阶导数
+ n# H+ m; z; T& ]2 f6 \First principal component, 第一主成分
' X7 W. L4 x# `3 l6 ]First quartile, 第一四分位数
, S0 U9 f. P+ vFisher information, 费雪信息量$ q$ D2 T9 v! J1 O u) N' |8 n
Fitted value, 拟合值- e2 E5 h( X8 g% E9 P6 N
Fitting a curve, 曲线拟合
4 C6 `; M4 f2 b- {9 NFixed base, 定基
4 r! q$ Y* |* F" z+ s% bFluctuation, 随机起伏
" w y8 k( W4 y) n7 g& IForecast, 预测! i% s2 m5 G q" b* J7 L1 p* X
Four fold table, 四格表
3 H8 q7 V3 G8 F. nFourth, 四分点5 ]) R8 y( q8 G1 |. x. i1 R
Fraction blow, 左侧比率
! F; P5 J; ]* {1 R! W& x* |* ?Fractional error, 相对误差
+ `. _" t' o: Y" z) P" d/ R% K( ?Frequency, 频率
8 l6 ]; J/ i" I* OFrequency polygon, 频数多边图' H2 O" M* A) B; s9 G2 a! c: ]$ _
Frontier point, 界限点( \, x; |3 ^8 O0 r# k, ^1 m
Function relationship, 泛函关系
% D. v: [$ R# o' {& Y* h: CGamma distribution, 伽玛分布- v$ y& C+ Y$ X% _7 n" ?
Gauss increment, 高斯增量$ n* M P% c6 ]# _+ P
Gaussian distribution, 高斯分布/正态分布
; v8 f* U H8 ]+ h8 z- R. F) @2 OGauss-Newton increment, 高斯-牛顿增量* }: j+ n2 o6 h$ O& B4 F
General census, 全面普查 ]' C6 K. n+ x1 R/ ]- d8 ]* Y
GENLOG (Generalized liner models), 广义线性模型
. q7 X9 w9 W$ T8 C- T5 Y( oGeometric mean, 几何平均数
1 o4 s$ A: H$ n& ?Gini's mean difference, 基尼均差
) c* a5 Q8 ^2 |! S; E6 }& DGLM (General liner models), 一般线性模型 / }! x- p) D% A+ Y# m) u" O. `
Goodness of fit, 拟和优度/配合度( A0 @$ e& r7 p
Gradient of determinant, 行列式的梯度
, w& C0 o$ x" ^ sGraeco-Latin square, 希腊拉丁方
+ d' O, E! Q! yGrand mean, 总均值! _1 y; O& j6 j! ^, u! X
Gross errors, 重大错误 \" u4 h8 {9 w; ?- z
Gross-error sensitivity, 大错敏感度* d# B* i/ c `- p% J
Group averages, 分组平均9 l& u, X/ r3 a/ R- b1 |
Grouped data, 分组资料
7 ?3 d0 E0 m DGuessed mean, 假定平均数/ m9 i6 B t* P1 }9 ^- X
Half-life, 半衰期
' \( l3 N$ b/ [) {* E& }8 lHampel M-estimators, 汉佩尔M估计量
5 {5 G( p1 Q9 dHappenstance, 偶然事件6 R5 m8 ?+ Y: |. m* ?
Harmonic mean, 调和均数; U g5 H1 [( T& S/ e
Hazard function, 风险均数7 t6 y" g- E4 F
Hazard rate, 风险率
; U* D e3 v P7 g6 S% C6 }Heading, 标目 3 J+ t5 F8 }8 }9 A) [" P
Heavy-tailed distribution, 重尾分布- L" |% x8 A a, P9 g: y
Hessian array, 海森立体阵
/ N* A6 L2 B' E- ~Heterogeneity, 不同质
4 ?% z. R3 f( ~7 ]6 Z2 F; B" cHeterogeneity of variance, 方差不齐
0 [: K' ~8 ^# y$ RHierarchical classification, 组内分组
N7 ~/ A2 `7 P- s+ P+ LHierarchical clustering method, 系统聚类法
S& D: t0 R9 Y: R1 P. L% q3 QHigh-leverage point, 高杠杆率点6 u! L( k6 N7 t( P" g D5 Y' V4 G
HILOGLINEAR, 多维列联表的层次对数线性模型4 l1 B& A" J, ^( u8 r. U/ D4 d
Hinge, 折叶点
" `0 _' j, o$ R+ M3 G o2 MHistogram, 直方图+ M1 E2 g6 R% V# u* n% q9 A
Historical cohort study, 历史性队列研究
4 h7 k3 g7 t$ v6 y1 O2 d3 r+ gHoles, 空洞
, [) {2 k, G4 q+ fHOMALS, 多重响应分析
; S8 _: i0 c3 c& LHomogeneity of variance, 方差齐性# m* m G; a! _( i5 |( R3 c0 U$ }, _
Homogeneity test, 齐性检验9 R8 s" z+ X, V7 m [3 ^' {
Huber M-estimators, 休伯M估计量, O6 c6 O/ }$ ^4 H% K9 U5 v
Hyperbola, 双曲线/ \0 S( p, Z1 L6 ]" k( t! j
Hypothesis testing, 假设检验
7 l# n# O! }. ]# C LHypothetical universe, 假设总体( }, a _3 t5 f' o3 U
Impossible event, 不可能事件4 F$ h% L/ F; [& @* P, c" h/ u7 b6 k2 T
Independence, 独立性
& i% S! d6 Z, d& y+ _1 DIndependent variable, 自变量( |! T6 [% H8 g8 ]
Index, 指标/指数& U5 j3 J. j6 q/ z/ z8 w
Indirect standardization, 间接标准化法7 P/ p: j- w& f: K# z }% ]+ k
Individual, 个体# @ N b+ X( h5 R7 M* Q* V4 X" F
Inference band, 推断带
3 `% |2 Z" ?# u2 Y/ X' kInfinite population, 无限总体) J3 t/ L* l+ B! l( B1 q" e/ t
Infinitely great, 无穷大2 C% u% u* X1 h) W. L0 A
Infinitely small, 无穷小- J3 [8 L7 V0 u! ?/ o4 P. x# C
Influence curve, 影响曲线/ q' H6 Z3 b; H2 g1 e1 ~( E
Information capacity, 信息容量: B4 i: t( q' N. n2 v) K* H
Initial condition, 初始条件- E6 B" V1 G7 _# e' P. ?9 ~ l( L
Initial estimate, 初始估计值$ Q# P7 ^9 e) C& `9 d9 V
Initial level, 最初水平
, k9 x7 N) x" R: P* v" g+ M( RInteraction, 交互作用
( r; ^ R& P1 ?& j) cInteraction terms, 交互作用项4 R/ d# T4 d8 Q8 Z3 U
Intercept, 截距
+ E3 v: L O9 I! EInterpolation, 内插法
; @, U' m8 I9 q$ YInterquartile range, 四分位距( s7 y0 J) G+ @0 I0 B6 W. x Y/ H
Interval estimation, 区间估计
% h7 G9 i- C+ I& t+ ~; f3 AIntervals of equal probability, 等概率区间
1 I3 @* C4 m- C t9 U: m4 c) IIntrinsic curvature, 固有曲率* g- A G0 O4 c9 b1 _7 I9 I
Invariance, 不变性# S! s" N% F% t9 {$ d% T4 E
Inverse matrix, 逆矩阵' N+ t" Q M; J" @6 f" P+ }4 b
Inverse probability, 逆概率
) M5 \) c9 u, ?0 h0 w" H; e% OInverse sine transformation, 反正弦变换
) R/ `6 K r* v7 ], e! |6 SIteration, 迭代 7 p4 [+ k& g( F0 K5 g! f
Jacobian determinant, 雅可比行列式8 ]$ i0 V: e' q4 M* ?+ B4 v+ x7 ` J
Joint distribution function, 分布函数1 y6 @5 ~, j: _/ y0 U9 `( I+ ?9 B
Joint probability, 联合概率. v2 X; e$ b2 `$ \ {; l8 q9 ]
Joint probability distribution, 联合概率分布
& ]" w/ R+ d- o4 G0 m9 zK means method, 逐步聚类法- F) X. \8 a5 }0 T2 W
Kaplan-Meier, 评估事件的时间长度 % m# Q# [6 J* X4 s- D
Kaplan-Merier chart, Kaplan-Merier图
( f7 g. k- d. }9 c3 J9 RKendall's rank correlation, Kendall等级相关
3 r* q/ c W; w! KKinetic, 动力学* }. z4 [+ K! |2 M2 d
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验. X. `9 r) H( v
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验: ^9 x' _8 l2 E, s$ F" }
Kurtosis, 峰度% J1 d( n& A" ]4 }
Lack of fit, 失拟
J% H9 H; H h- ^7 mLadder of powers, 幂阶梯) a& }$ e8 ?& a
Lag, 滞后
. R9 M6 r/ g% @4 L6 ULarge sample, 大样本
) T* K1 Q% ]) D# B* N# ILarge sample test, 大样本检验/ ~7 C% e& v# M' ? C
Latin square, 拉丁方
) r) D) |9 A. \3 l* ^7 u* kLatin square design, 拉丁方设计
4 E: o3 S* Z% J" S9 l }! ~' w3 S) yLeakage, 泄漏
& @$ n# R8 a: | c. w( K3 D% {( fLeast favorable configuration, 最不利构形
4 e5 r5 x* T( E0 F$ tLeast favorable distribution, 最不利分布
0 N: V& x) ]! A5 Q% lLeast significant difference, 最小显著差法
5 ~( |% L% e+ Q8 `/ j, \1 SLeast square method, 最小二乘法/ M1 @9 a, Q0 }1 I
Least-absolute-residuals estimates, 最小绝对残差估计
; u8 T/ C! Q3 f a! ALeast-absolute-residuals fit, 最小绝对残差拟合
8 s9 u9 H( I! n- P# S! T. _# y2 i/ ?Least-absolute-residuals line, 最小绝对残差线1 G! e2 \/ x u% a: W; a
Legend, 图例
/ ~$ j5 p5 y9 g5 N* N, w2 XL-estimator, L估计量
; z0 m _4 b' e3 O$ n' ~L-estimator of location, 位置L估计量# h( ~! S7 z6 w8 z
L-estimator of scale, 尺度L估计量5 s6 o/ `/ y: X) n7 I5 r2 r
Level, 水平; ?4 n# U6 C" S; K/ \( T& A. V# v
Life expectance, 预期期望寿命
# ?5 m6 V: H6 {- L# c% gLife table, 寿命表
$ M& Z1 F; e7 h5 ~9 F1 \5 b. B8 ~Life table method, 生命表法
i% F; `2 j$ G. ~! q1 ~% SLight-tailed distribution, 轻尾分布
x5 Y3 q$ w b9 U( c7 \Likelihood function, 似然函数
$ v$ j# U% ^% Y" z5 nLikelihood ratio, 似然比0 C+ C& |* P( I# ?2 d, K
line graph, 线图1 X, p) E2 J* _& X6 x( f" R
Linear correlation, 直线相关7 Q- p' v: t! p; d3 D$ L$ x
Linear equation, 线性方程
. b; J$ {& @: S$ O6 S% v! V8 PLinear programming, 线性规划
( V( }4 {+ l4 w% n" mLinear regression, 直线回归' T6 d) c0 g# `: U' V. s
Linear Regression, 线性回归! J \$ Q$ [) i; ]7 e
Linear trend, 线性趋势
" U- |# h. w- g, n' h, lLoading, 载荷
+ A$ D8 `( n$ U" ], a4 l0 ALocation and scale equivariance, 位置尺度同变性* [* ~' }& ^5 v; o$ r# t
Location equivariance, 位置同变性
# j2 {+ A8 X$ l2 ZLocation invariance, 位置不变性
4 i$ b* Z* H5 K& N/ \) ^3 [Location scale family, 位置尺度族
, |# e q2 _9 cLog rank test, 时序检验 " A3 r8 H9 ~% i1 F8 o# g+ ^% `6 O& M
Logarithmic curve, 对数曲线( h# c4 ^/ _& p# }) _
Logarithmic normal distribution, 对数正态分布& [+ G' X& k( ]7 ^8 w! _+ l
Logarithmic scale, 对数尺度
% U& q+ w7 Y2 I( J( ^Logarithmic transformation, 对数变换
: M) V( Y3 ]$ ~' Q5 l1 fLogic check, 逻辑检查
- R: W V4 z9 ^" I" @5 C2 H. n$ WLogistic distribution, 逻辑斯特分布: A6 y, Y! \+ e8 d
Logit transformation, Logit转换2 P, f7 P. d6 Q4 ]
LOGLINEAR, 多维列联表通用模型 4 Q0 g8 E0 `6 ^2 M e5 F
Lognormal distribution, 对数正态分布
5 S8 `4 b5 V: b* z1 T# FLost function, 损失函数
( ~9 y) b: p. q4 T. @" GLow correlation, 低度相关. z: \7 `; |! b% h
Lower limit, 下限
& i6 Y8 O' j9 j% O( uLowest-attained variance, 最小可达方差( {/ f8 F, W5 ]# z% T& j
LSD, 最小显著差法的简称; N9 c3 A6 m) y0 {5 ?4 d
Lurking variable, 潜在变量- L, x0 D8 z" R
Main effect, 主效应; U3 F; c% l) B/ ~
Major heading, 主辞标目
7 G: n% m/ u! [- k# V5 w) L: wMarginal density function, 边缘密度函数
/ R( X& H5 S& a: W' W8 b, pMarginal probability, 边缘概率3 q+ M# h/ D! {6 z7 ~1 A* J8 I
Marginal probability distribution, 边缘概率分布
9 t P+ f1 Z1 C0 L8 t0 sMatched data, 配对资料
* k9 c- D/ I# S: j- m [ n6 pMatched distribution, 匹配过分布1 X" g% _( V/ q: l2 u- \; q
Matching of distribution, 分布的匹配* S. }9 n6 w) B) _" G; |7 u
Matching of transformation, 变换的匹配* n. I7 L# a( ?6 ]" L# U5 z( \7 Z
Mathematical expectation, 数学期望; X; V7 C% c7 r6 v& {3 I
Mathematical model, 数学模型
& q; J: Z" F+ CMaximum L-estimator, 极大极小L 估计量- X7 G( z# G5 ~9 u( B# Y9 U$ z
Maximum likelihood method, 最大似然法
: @" ~1 X* _1 y$ f' u0 n6 z, nMean, 均数% C$ G7 M5 |1 c' |6 ]: M* w9 L
Mean squares between groups, 组间均方. x+ r0 O" ~! c2 s' Q+ D% O
Mean squares within group, 组内均方
! a+ s$ u# V! y5 r% ~* bMeans (Compare means), 均值-均值比较# p0 _1 y5 B4 w
Median, 中位数
7 [. W) w# l, ]Median effective dose, 半数效量1 r+ Q+ R5 Q! X2 d6 P
Median lethal dose, 半数致死量2 k! m, r: h% U. i( I* F7 u+ t: M
Median polish, 中位数平滑
: E5 X2 z/ a' R, FMedian test, 中位数检验
+ B; @ O1 Y# u1 M! l( NMinimal sufficient statistic, 最小充分统计量) i1 I" w: ^1 m1 Y4 F; H5 _
Minimum distance estimation, 最小距离估计
9 @8 |% Q; M% lMinimum effective dose, 最小有效量
" b+ Y0 V3 j- X+ mMinimum lethal dose, 最小致死量2 M8 o0 a0 u7 h
Minimum variance estimator, 最小方差估计量
]3 h5 \% ^) |! {* rMINITAB, 统计软件包! G# N# p8 B4 C( u/ ]
Minor heading, 宾词标目
, M/ v; T/ q+ K2 b8 g, v NMissing data, 缺失值/ q1 |( T3 q8 c: `; E
Model specification, 模型的确定
0 S1 |0 { \1 c3 g# @Modeling Statistics , 模型统计
+ o R! k2 s2 eModels for outliers, 离群值模型
3 L8 G# j* }9 s) }$ ~Modifying the model, 模型的修正+ L# U1 `4 o1 t! j& U
Modulus of continuity, 连续性模6 _" l7 a* j! `3 B
Morbidity, 发病率 0 n, m. M4 ]% I! j* @
Most favorable configuration, 最有利构形9 V5 g! o# s5 N% V3 z
Multidimensional Scaling (ASCAL), 多维尺度/多维标度1 a& }% Z3 p) o: f1 g# t
Multinomial Logistic Regression , 多项逻辑斯蒂回归
6 z. \' Z' M, K7 X; NMultiple comparison, 多重比较0 m6 i- E5 D* e7 j- [) q, V+ h& {
Multiple correlation , 复相关5 }/ `% {; \9 }+ J- R* @. m1 s
Multiple covariance, 多元协方差6 G q& E P0 }9 c$ [
Multiple linear regression, 多元线性回归3 A r0 ?. H. @8 e$ S" H2 U
Multiple response , 多重选项
( H' {$ K y9 f( ]% [2 t$ FMultiple solutions, 多解
+ c% E X A& r5 O' d) e% HMultiplication theorem, 乘法定理5 d9 k- A/ q1 I1 e! e, A7 m" T
Multiresponse, 多元响应
3 X3 M9 `& E- x; \% ^6 o' P; GMulti-stage sampling, 多阶段抽样
% N; K$ V7 c$ ? wMultivariate T distribution, 多元T分布" Z9 c6 t; m$ u, `7 t+ v i ]
Mutual exclusive, 互不相容
& C8 z9 R3 B, |Mutual independence, 互相独立0 T# F; r3 s' V. c$ Z
Natural boundary, 自然边界
" m W- K. I$ x/ ?, z" zNatural dead, 自然死亡
/ ]9 r/ j& l/ }' U( x. tNatural zero, 自然零
* y& X! h& x+ L+ v# ^+ YNegative correlation, 负相关) m0 \. j8 E' U/ V! Z# d
Negative linear correlation, 负线性相关
, {7 u" _+ c6 t2 pNegatively skewed, 负偏
& ?- ~3 h8 I s0 @3 INewman-Keuls method, q检验
) x$ F( t% y4 {' ENK method, q检验
3 y' G+ x/ s- b2 KNo statistical significance, 无统计意义
6 p$ E. F- f: pNominal variable, 名义变量
# Q5 ]/ A' r7 g6 Y4 |$ VNonconstancy of variability, 变异的非定常性
& |* N2 r" {+ p ~3 Z9 WNonlinear regression, 非线性相关$ g" B: k) R' L% m8 ?
Nonparametric statistics, 非参数统计
, ?% I- C; W, J7 C1 C" u1 XNonparametric test, 非参数检验
# Y6 p' r! o1 m0 @6 H/ X/ ]Nonparametric tests, 非参数检验/ J1 y$ Q9 ?% x) u# N
Normal deviate, 正态离差
" Q% C/ H; X" ~& u$ J* KNormal distribution, 正态分布$ f& R9 c: l/ X' ~
Normal equation, 正规方程组
& m, b: u* [6 R2 _5 KNormal ranges, 正常范围& w6 C8 o1 d: J* g) p9 @' e# u
Normal value, 正常值! V: V, |; s( a/ z; J' s ~. r
Nuisance parameter, 多余参数/讨厌参数) ]3 ^2 {$ P* `: f
Null hypothesis, 无效假设 u3 `0 y- f1 n A; x/ @
Numerical variable, 数值变量9 j( l6 u: P& k( p
Objective function, 目标函数
( E" a1 R7 L. P$ s2 rObservation unit, 观察单位
1 _2 r+ |0 Q; i" B4 JObserved value, 观察值! e; J! F0 L3 f/ p5 k7 Q/ s
One sided test, 单侧检验
+ ?0 n7 O% k/ E, J9 V# u0 F! }One-way analysis of variance, 单因素方差分析
. T" D) C0 I) m+ q7 T# a0 F8 HOneway ANOVA , 单因素方差分析7 m" d& x: @% [1 V* f+ j$ H) D
Open sequential trial, 开放型序贯设计4 [( l7 T( y% {( x% ~3 X
Optrim, 优切尾
& n; d6 Z/ z% O9 ^( P) WOptrim efficiency, 优切尾效率
& D+ v3 z& h9 b5 G( BOrder statistics, 顺序统计量
' \; W& y( ]# E+ F% U0 T, [- ZOrdered categories, 有序分类
: B Y; ~: T$ S$ q0 @' pOrdinal logistic regression , 序数逻辑斯蒂回归: \/ d2 n: F1 w o' M: S* E
Ordinal variable, 有序变量 X& r3 N7 |, f" z) Q
Orthogonal basis, 正交基
4 `( U5 s; n; Z7 E& _" rOrthogonal design, 正交试验设计9 `7 N# T( E1 k: u# b$ s7 e2 o0 e
Orthogonality conditions, 正交条件
( u# r+ A5 R) Q4 k' j- f wORTHOPLAN, 正交设计 & \( z- @9 W D# _% I8 {+ i
Outlier cutoffs, 离群值截断点
) u, ~# w$ g% q* M& V+ H' lOutliers, 极端值/ @: z, V% u6 ]4 w) [5 ~
OVERALS , 多组变量的非线性正规相关 1 L- m v/ z& H
Overshoot, 迭代过度: f$ q# D6 p! ]
Paired design, 配对设计
; K) ?* T7 a$ k: gPaired sample, 配对样本2 s7 e" e3 {0 p8 }: j! [% {/ o
Pairwise slopes, 成对斜率
* b! \8 o+ s1 ` ^! k0 OParabola, 抛物线9 Q) I* w, p! u$ ^
Parallel tests, 平行试验
4 D: C0 L, L5 p1 HParameter, 参数& C/ ?* s- o0 l3 J3 J
Parametric statistics, 参数统计
( `+ k( F. c0 y( b6 O+ W) kParametric test, 参数检验
6 c1 Z3 t! d: u% N% `' Y k: qPartial correlation, 偏相关
* e5 L5 B: c" ?# |$ XPartial regression, 偏回归, K* M6 p1 A2 D) l. i8 j: U7 X
Partial sorting, 偏排序
1 T2 D6 D9 V, u" w H, hPartials residuals, 偏残差/ \. z' z: k0 a
Pattern, 模式
s( `! y& V+ g1 WPearson curves, 皮尔逊曲线
; H8 o7 x" |. K5 HPeeling, 退层+ u& |+ f; l+ `+ @/ z
Percent bar graph, 百分条形图
$ n5 {0 U3 w d# J* TPercentage, 百分比+ A+ R1 c: M' Z2 [* o; c( V
Percentile, 百分位数 j' m* B9 A7 f7 O5 ~" x V
Percentile curves, 百分位曲线 m. m+ `( x; Q( G% g* s+ v
Periodicity, 周期性
% k# w% c, w/ W. L1 m; N4 L: @& cPermutation, 排列8 F3 b, o! _& s4 L' t1 l
P-estimator, P估计量
3 w: A. G) S) ^+ g- F7 M4 bPie graph, 饼图
9 y( @1 P- A8 m+ P1 `Pitman estimator, 皮特曼估计量# _- x5 X; M- V9 H. f5 p+ t, b
Pivot, 枢轴量
' E% b, l. y1 z- f0 WPlanar, 平坦5 p1 H4 p7 n. I# n" N, E
Planar assumption, 平面的假设
$ v- h* O! }$ s3 FPLANCARDS, 生成试验的计划卡' ^8 @' m9 l- W( a# P
Point estimation, 点估计
! _) D* N: Y0 t3 xPoisson distribution, 泊松分布
8 e7 W' U0 Y! }. E- s1 \Polishing, 平滑4 B$ \" \+ } j1 q5 o, A
Polled standard deviation, 合并标准差
8 m3 R( V5 M, I6 B, O6 `, qPolled variance, 合并方差
) m9 n- [" X3 Z( [+ {, |6 R' w: bPolygon, 多边图
. B! A/ W. d% ~5 J1 a* hPolynomial, 多项式
7 |7 i" @& c C; p% f3 sPolynomial curve, 多项式曲线 c& Z8 r% Z! l
Population, 总体' ]7 Z, H8 o, j/ b8 t# W2 ^$ {
Population attributable risk, 人群归因危险度
, n: b9 `/ g2 V, f; s. {8 }' YPositive correlation, 正相关
v8 x& U3 {( U" Q9 v1 a9 OPositively skewed, 正偏% ~' G$ Z q* I
Posterior distribution, 后验分布7 S! l6 H9 G2 O+ k& m" k+ z3 n
Power of a test, 检验效能
]) Q* b: O" z3 Y: s: Y# ?Precision, 精密度5 s- {" O; J0 A$ _9 e, `& P
Predicted value, 预测值5 R; g% F8 C" }
Preliminary analysis, 预备性分析2 ^9 z2 v4 M9 | p' F. f) P
Principal component analysis, 主成分分析+ H0 J2 S* l3 R, k B. ^
Prior distribution, 先验分布 D4 ~; g6 Y, N) `
Prior probability, 先验概率6 t6 O% ]8 ]) P! c1 W3 U8 C* _' `+ Q3 j( ]
Probabilistic model, 概率模型
+ ?1 A0 p+ A$ C2 h9 }4 }, p. ~probability, 概率
, \9 H/ Y* R3 u/ m" } q) a. LProbability density, 概率密度7 j8 z/ M, m+ s4 K8 ^- O& d
Product moment, 乘积矩/协方差
~/ M& j2 E; ]: y& c& \1 fProfile trace, 截面迹图
$ D; G9 ~% b- v/ \+ W+ DProportion, 比/构成比1 U6 ]8 X; P) ^
Proportion allocation in stratified random sampling, 按比例分层随机抽样
: P6 t& `! Y" P0 ~/ MProportionate, 成比例
& ^2 _" Z- l: f- |9 JProportionate sub-class numbers, 成比例次级组含量: }9 T( c% E* w5 ~3 x! J$ b2 R
Prospective study, 前瞻性调查
! P- y& P( l0 r( P3 OProximities, 亲近性
+ m; I5 n5 C0 z- MPseudo F test, 近似F检验* z3 l" p' s2 k6 G+ b: g" f0 A* X
Pseudo model, 近似模型* ~6 k- K* p- `6 X
Pseudosigma, 伪标准差
! X( Q2 a+ G; Z3 a5 y* l4 I9 OPurposive sampling, 有目的抽样: n- I4 |# Q9 j0 E
QR decomposition, QR分解
; L2 r! z. f8 s* RQuadratic approximation, 二次近似, n# D- r! x6 `
Qualitative classification, 属性分类 N. }* f. C- ^
Qualitative method, 定性方法
& z9 k0 h/ n% ~* D, PQuantile-quantile plot, 分位数-分位数图/Q-Q图% B4 q# @9 _+ |( j
Quantitative analysis, 定量分析
1 I: a# ]1 R8 U4 [Quartile, 四分位数
1 S4 F0 i- @2 i3 ?# uQuick Cluster, 快速聚类
, a" v9 e2 O" T, x" o; b) e* |Radix sort, 基数排序1 W/ e8 }% C9 Q/ q/ Z
Random allocation, 随机化分组) A" \; ^# ]2 x7 z5 f" ^! G+ Y4 [
Random blocks design, 随机区组设计. e* i9 F! ]2 q" m
Random event, 随机事件2 w; {0 }" P. g5 Y; G( s
Randomization, 随机化) `: M5 [6 D/ m+ w1 l4 W
Range, 极差/全距. [! l3 a0 W# J
Rank correlation, 等级相关8 E8 a0 k* d! [ R: K. |% p# G+ u
Rank sum test, 秩和检验
& i1 t+ p r. v* F' V' BRank test, 秩检验+ Y' `7 j$ k7 k1 ~, s7 b
Ranked data, 等级资料
1 @/ E: \# P% N, o1 `- f2 ERate, 比率
# w0 Q3 x+ u. m' c& ERatio, 比例+ d& y T8 X: |
Raw data, 原始资料
" l' E, F/ l, z2 a) BRaw residual, 原始残差" X6 l# @7 y- x- Z
Rayleigh's test, 雷氏检验* S1 \% e( [' J. h( o% L& ?1 W
Rayleigh's Z, 雷氏Z值
+ \0 U# r( p% O9 e- dReciprocal, 倒数/ z& E( _# b, [* G+ h, J H3 m
Reciprocal transformation, 倒数变换+ }! P* d4 O6 i; u/ Z ~9 ~! \
Recording, 记录
/ K0 ~) J- |" N o3 } VRedescending estimators, 回降估计量1 v& V# z9 P) x( t
Reducing dimensions, 降维
9 {( {8 b0 _5 ]0 \Re-expression, 重新表达3 C5 W& H- b# i( m3 s4 [
Reference set, 标准组 u! Q) f1 z9 @' |1 I7 |7 q
Region of acceptance, 接受域
! `* V% z# x# n# S3 c. FRegression coefficient, 回归系数3 S" M/ t, V( L$ {3 ~
Regression sum of square, 回归平方和
. b) d6 Q: m1 ERejection point, 拒绝点
1 r" f7 z n" |; A3 _ cRelative dispersion, 相对离散度" P$ e: G+ L* N" e6 X- k8 e
Relative number, 相对数9 ^1 D/ k' T5 f0 P* K* Q4 ?
Reliability, 可靠性% ^4 m: O5 x6 d! |
Reparametrization, 重新设置参数
6 J+ U7 k( ~! V( J& N, a: k2 eReplication, 重复
' p8 G: n3 Q7 H# R7 J8 W& ~Report Summaries, 报告摘要
2 h' `7 v% x" G" @9 V" i; F r6 FResidual sum of square, 剩余平方和
; p! w; A& E5 ]; K* fResistance, 耐抗性
' A- r% s1 {/ |& I' p/ IResistant line, 耐抗线
* C, M0 e7 M' g: UResistant technique, 耐抗技术& z# K$ E) ~$ V
R-estimator of location, 位置R估计量, c$ ?% K; V; f% Z
R-estimator of scale, 尺度R估计量
1 u1 R7 B/ W' o1 @9 o% T. a/ F1 SRetrospective study, 回顾性调查
7 c! C6 L- j6 @7 C) r5 wRidge trace, 岭迹
# r: H$ S8 }, }" }# uRidit analysis, Ridit分析
6 f7 i" e, M! t: G: zRotation, 旋转' F( d6 N0 o+ k8 x% u! g
Rounding, 舍入
: [% r+ o2 n. M5 r3 v( |Row, 行
* x! g, B0 d p3 F0 NRow effects, 行效应
M# ~4 t. t$ I& c) F0 }Row factor, 行因素4 C4 L6 M" D9 f* }: c) F% G
RXC table, RXC表
5 u/ Y; Q! U5 a( E3 K! T% `8 pSample, 样本
u$ E5 \& K: o5 y+ j# o3 K+ n) M4 c- ySample regression coefficient, 样本回归系数
# Q# T: n. i/ `* }Sample size, 样本量
9 r9 F. U% W$ O3 H# Y, CSample standard deviation, 样本标准差, W* N$ }; F3 d' ] d" k2 O- {
Sampling error, 抽样误差$ ]3 k3 x1 ~- L
SAS(Statistical analysis system ), SAS统计软件包# P( c8 O5 j$ X& U2 }6 y1 j( D" K
Scale, 尺度/量表" |: S- u9 [0 B
Scatter diagram, 散点图
1 d0 e- z! i0 I) rSchematic plot, 示意图/简图/ z/ v- ]9 F7 ^/ f7 ^
Score test, 计分检验
H. C! j- w/ o1 yScreening, 筛检5 u2 j6 ~/ s& |! X+ ~3 n
SEASON, 季节分析 & \ a5 y" S7 C1 O
Second derivative, 二阶导数6 x4 j0 Z% `' X, o
Second principal component, 第二主成分) n3 M' o& v+ @2 G
SEM (Structural equation modeling), 结构化方程模型
! K. l- v& e* r9 j2 kSemi-logarithmic graph, 半对数图' f4 v- P0 R8 Q/ {. Y! i3 H
Semi-logarithmic paper, 半对数格纸
. z0 g* I, y$ {7 WSensitivity curve, 敏感度曲线+ e8 l! o$ w/ r Z, r
Sequential analysis, 贯序分析+ I/ r) C4 X( H1 i4 q$ `7 v
Sequential data set, 顺序数据集+ T8 l4 d5 F! J& a0 B0 L( F* f
Sequential design, 贯序设计
7 d- E9 A7 z5 }. V4 dSequential method, 贯序法! }% e5 M" p5 r) o e- t. E* D% u. J
Sequential test, 贯序检验法
, w$ l) I. l/ b5 x0 uSerial tests, 系列试验
* }$ r) V" J0 X! O8 L$ q4 f# C! fShort-cut method, 简捷法
# d+ Q) l+ B/ m/ x9 S( l9 x1 ISigmoid curve, S形曲线: N0 B l! H, t9 y' r) f) {$ i( f
Sign function, 正负号函数/ _6 x5 [3 S) \4 m0 z
Sign test, 符号检验. H5 q. J+ U$ h) X& w, ~
Signed rank, 符号秩0 j( y( O; ^7 a/ o
Significance test, 显著性检验, G* J1 J1 [! z7 G7 l: \9 r
Significant figure, 有效数字
0 F6 A8 s& q3 t0 [3 XSimple cluster sampling, 简单整群抽样
$ S8 t, G2 T7 N! NSimple correlation, 简单相关 A8 l2 C2 R' H; Z6 l N+ i
Simple random sampling, 简单随机抽样
* d" ~2 x+ K: l% iSimple regression, 简单回归
/ G# c8 j" j' @3 U* @0 Osimple table, 简单表( E$ g" w. x g; y9 B. |
Sine estimator, 正弦估计量# U7 S% u6 ~& R* ?
Single-valued estimate, 单值估计: w8 S V m) C% X1 }
Singular matrix, 奇异矩阵1 N( d0 w, ?5 S+ ?3 u( j4 x
Skewed distribution, 偏斜分布
$ ?- N; W3 P: A2 I( l8 I6 N. _Skewness, 偏度
+ Z" b7 O1 F$ N3 X; l( hSlash distribution, 斜线分布 f- M4 k7 Y t1 E+ q4 t
Slope, 斜率; `' N% B2 C; @& c' c
Smirnov test, 斯米尔诺夫检验
, z' h; b4 `8 [0 pSource of variation, 变异来源
! i' f8 H; M; W9 rSpearman rank correlation, 斯皮尔曼等级相关
# |! }/ \( e+ z) |Specific factor, 特殊因子
4 U) I8 P8 d' r3 ?* y" B$ \$ HSpecific factor variance, 特殊因子方差
' F% u$ \! `* t- [Spectra , 频谱# E3 w. }3 I( N+ k9 M6 y& y; Y# s
Spherical distribution, 球型正态分布. m% \! c! W: [% Y6 I H
Spread, 展布
/ c7 ~1 f' U( @ B( nSPSS(Statistical package for the social science), SPSS统计软件包
: ?! n* C0 P4 F9 O# U5 R: DSpurious correlation, 假性相关
, S( r( r ~" o& c+ s6 d8 tSquare root transformation, 平方根变换! N. f' @" G0 V/ t9 i4 c8 M
Stabilizing variance, 稳定方差5 f/ W4 k. ?- u6 Z4 _1 L
Standard deviation, 标准差
: ~% K' l# U& ]& X3 tStandard error, 标准误/ g' o" F: i: {* }2 k& o
Standard error of difference, 差别的标准误& R+ S; @- C2 n1 I- j
Standard error of estimate, 标准估计误差
: ~# f# y9 o3 _ Y: NStandard error of rate, 率的标准误
1 i% d+ f3 |4 Y! x; T9 ?Standard normal distribution, 标准正态分布
9 B8 h. W6 g. ?2 ~2 pStandardization, 标准化* K6 t& v+ `& q/ E- I7 t
Starting value, 起始值2 f6 N" u: i8 x! p7 I
Statistic, 统计量
- F( H/ N4 p# ~4 w" rStatistical control, 统计控制' d& S. W, l' X" B8 j6 j& K
Statistical graph, 统计图# u9 T2 }. J1 @, g) Q
Statistical inference, 统计推断% m1 R: O, O' [: u
Statistical table, 统计表
, T! I8 ]7 r6 [% [5 \% I3 o% ]Steepest descent, 最速下降法6 o$ T& ?4 Q* Q1 E
Stem and leaf display, 茎叶图5 e! N* J" Y3 W& M* @$ @( Y
Step factor, 步长因子
' r7 A- B4 K* V: u0 e! K+ j+ _Stepwise regression, 逐步回归
: C0 [9 @* g: O$ g( K* A2 G' {Storage, 存8 E, R }& \+ w% `7 X7 i% I
Strata, 层（复数）
# ?2 Z- M0 \3 z' W2 yStratified sampling, 分层抽样
3 Z/ I# a! _7 ^+ {3 A4 zStratified sampling, 分层抽样
# p6 V$ S$ Y6 J n5 h$ r BStrength, 强度. R1 A J3 x% i, E E9 e
Stringency, 严密性6 h+ m D; Y4 l
Structural relationship, 结构关系" K% T+ J" r5 i& O. j
Studentized residual, 学生化残差/t化残差, f! d' G) H0 P( u
Sub-class numbers, 次级组含量
1 {4 _7 V; v) ESubdividing, 分割4 ~9 b2 K$ @) E* y
Sufficient statistic, 充分统计量
/ C3 q% |8 E1 ], ?' D& CSum of products, 积和4 B, J) E& U/ K/ g
Sum of squares, 离差平方和
9 d% e- z: g, u$ aSum of squares about regression, 回归平方和
+ `% f( Q! P0 L$ g- GSum of squares between groups, 组间平方和: ^" `& o3 I& m F4 B* v4 d% _- Y
Sum of squares of partial regression, 偏回归平方和
* m" i0 Q9 | [4 j! ZSure event, 必然事件
1 e t8 \4 n+ M7 x+ vSurvey, 调查
2 I3 u. E) }% M c" k" |0 ]8 ^4 ASurvival, 生存分析
6 r9 w, K2 V8 I* X. Q. p- p, bSurvival rate, 生存率
' O% s6 w$ ^) W9 `! q+ o+ {: H9 _Suspended root gram, 悬吊根图
* t& K9 {9 W* `% ?; v7 zSymmetry, 对称! k0 |8 N$ I0 P) \8 u6 f: K2 n( x0 {
Systematic error, 系统误差% x) R2 D- R$ F2 O, C" L1 |( X9 c
Systematic sampling, 系统抽样0 ?! J, w; _2 e- i( d* E/ b+ X
Tags, 标签: t* ], }1 q6 O `6 _3 t
Tail area, 尾部面积
, _$ r; Z+ b5 X# A8 hTail length, 尾长
, n: x l6 {7 M) m! BTail weight, 尾重
" f' G# Z' L& Z+ KTangent line, 切线+ W$ G3 b6 X% O1 V. n3 b0 z# o
Target distribution, 目标分布5 k" {/ A% L' w* d
Taylor series, 泰勒级数% n0 Z' e; B$ r/ j" @# d
Tendency of dispersion, 离散趋势
4 ~/ t0 V# a! z2 N3 L" ~3 |Testing of hypotheses, 假设检验" W$ W/ `! R' G" @7 x1 w
Theoretical frequency, 理论频数1 R; ?' h/ [+ J
Time series, 时间序列
! L: X% d' Q4 i' HTolerance interval, 容忍区间4 P" L, y9 ~+ w k) E$ J" x
Tolerance lower limit, 容忍下限
" B \* R9 T& q/ ?% aTolerance upper limit, 容忍上限2 G4 Z+ p7 a& p9 c
Torsion, 扰率
! t+ j' u$ U6 ?. [Total sum of square, 总平方和! ?' e9 {7 d& k0 Q/ S4 c
Total variation, 总变异
' z5 w* j& C3 KTransformation, 转换; K4 u7 o( \& a/ l8 k* G$ i
Treatment, 处理6 _. o9 _6 p- `
Trend, 趋势
$ A/ a8 p+ o c# u( s- H3 G5 h4 Y' z* g3 oTrend of percentage, 百分比趋势
8 g. A; J" {2 P3 I2 ~Trial, 试验
' h; u4 i! i H( P2 e& V# mTrial and error method, 试错法
5 X# y. g( h2 X. l, MTuning constant, 细调常数3 M* I: m8 n) A9 {, N
Two sided test, 双向检验: Y" C: P' u* D# e; a) E
Two-stage least squares, 二阶最小平方 X I4 _, ~" b2 w: K
Two-stage sampling, 二阶段抽样
( L6 K W0 t) t1 [1 ^4 vTwo-tailed test, 双侧检验
+ j7 D! T( q" M! a; |2 P4 ?) `Two-way analysis of variance, 双因素方差分析0 R) @/ ~. p+ G; E; d$ U7 x2 T
Two-way table, 双向表4 v6 U3 }; m5 r% M7 A& ~: l& \
Type I error, 一类错误/α错误2 X) N8 Q" s8 J/ G3 s
Type II error, 二类错误/β错误
/ |+ |$ J- N! [; Z kUMVU, 方差一致最小无偏估计简称 r+ E; T+ L, M8 H8 {% h9 x3 n
Unbiased estimate, 无偏估计9 A5 V4 g5 V# Y( W
Unconstrained nonlinear regression , 无约束非线性回归
5 `% s1 z1 x9 Z' ?Unequal subclass number, 不等次级组含量
( J' _4 c( Y( x4 \# gUngrouped data, 不分组资料
' x7 k+ ~) V% {3 B& n0 X% vUniform coordinate, 均匀坐标* R5 ^4 ]9 D6 q/ y
Uniform distribution, 均匀分布
* T# ^ t+ b: hUniformly minimum variance unbiased estimate, 方差一致最小无偏估计# |" L- [3 |2 I# n, }3 H
Unit, 单元
' m4 g* a* Q+ H& U; o" GUnordered categories, 无序分类
6 S# n {, ` @ n7 c2 b5 j" jUpper limit, 上限$ f3 Z, ^ Y4 j8 G5 [7 ?
Upward rank, 升秩
! o Z5 b- r& P) r' L% f. Q- j, JVague concept, 模糊概念9 H. ~5 Y. a% O- M+ A0 X
Validity, 有效性" O6 ^# Z8 W/ o& a; S9 I0 D
VARCOMP (Variance component estimation), 方差元素估计
3 G4 ]1 F- L: ~7 U& e0 W8 v0 EVariability, 变异性
6 |; E, B: F, hVariable, 变量
- D, _; v* Y/ a' V4 |Variance, 方差! C4 @7 T! N" x( g
Variation, 变异
- K; l. ^( {* [Varimax orthogonal rotation, 方差最大正交旋转0 B0 C2 c9 z# i) S, }9 B
Volume of distribution, 容积. E6 R9 Y3 Q8 ~7 ]8 v
W test, W检验
" G" u" D/ u1 Y7 HWeibull distribution, 威布尔分布
% I! M ^( e W$ Y: [6 eWeight, 权数
" Q6 P, [' A) C) E" jWeighted Chi-square test, 加权卡方检验/Cochran检验
- ?! g9 w& P* c! \) r* U6 jWeighted linear regression method, 加权直线回归
: ^: ]8 F, E8 GWeighted mean, 加权平均数& u6 i$ b* s1 i" S" g
Weighted mean square, 加权平均方差" L6 b- j6 m! Q
Weighted sum of square, 加权平方和
# I" }# C' k% U6 R9 O; K3 J* JWeighting coefficient, 权重系数
1 Q) T! n! x( u% _9 Q! C# ^Weighting method, 加权法
4 y1 e5 Y; `+ Y$ J8 GW-estimation, W估计量# n3 m6 e+ h, T
W-estimation of location, 位置W估计量, w. u" O( c; I1 v" Z5 R/ U4 X/ H& w
Width, 宽度1 F6 e: K! l/ \
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
; L' Q5 B9 h _( v3 uWild point, 野点/狂点
1 a# Q9 J. i0 s; K* z8 wWild value, 野值/狂值" S1 B3 e; ^# e$ n* n0 s
Winsorized mean, 缩尾均值; n7 d% m2 W, j( ^2 |8 L/ R+ d+ y
Withdraw, 失访
4 l" A. [( D) B2 aYouden's index, 尤登指数7 p- i: V' Y4 f/ a' K4 Y" ~
Z test, Z检验* ^) A- _. {( `4 o5 ~9 `+ w: a
Zero correlation, 零相关8 Z r" s/ u! a# J
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
