|
Absolute deviation, 绝对离差
$ k) ?% k+ R8 a0 c* eAbsolute number, 绝对数: _" w" T e! ?. E
Absolute residuals, 绝对残差
) n4 H( c3 w2 }+ @' q4 ~Acceleration array, 加速度立体阵: G3 @$ d W8 T
Acceleration in an arbitrary direction, 任意方向上的加速度 A+ }3 k: r$ [% p" N/ a6 Y
Acceleration normal, 法向加速度
# x* B! p! v0 LAcceleration space dimension, 加速度空间的维数! e7 P7 y+ d$ n& P
Acceleration tangential, 切向加速度0 u+ {7 G1 D; |' c: p
Acceleration vector, 加速度向量
/ p, o8 q6 d qAcceptable hypothesis, 可接受假设
' h% j8 G7 ~" _9 l9 DAccumulation, 累积
8 F- C& H1 @. V' T+ lAccuracy, 准确度
( w( L- l5 |; {Actual frequency, 实际频数
3 \. a% I1 U5 W6 }, bAdaptive estimator, 自适应估计量' X3 l! }. T- r/ i. N
Addition, 相加* I% X' B' z& W$ V* a! I
Addition theorem, 加法定理
# m8 B, ~ F& U) u M/ MAdditivity, 可加性, R& x8 v2 o3 @. {) g( O; r
Adjusted rate, 调整率
- S) H! _+ M# P' |1 J0 I+ g' NAdjusted value, 校正值
- @$ k! k7 i4 I& z. ?Admissible error, 容许误差
2 g" y& g1 U" DAggregation, 聚集性
5 M& B4 r @, ~Alternative hypothesis, 备择假设6 k: r; m- x- M- S- N$ c; B) U. @' z
Among groups, 组间+ Z6 k2 Z7 ]+ u: U8 i, b* ]
Amounts, 总量6 x" \& z2 C$ { ]8 S9 F
Analysis of correlation, 相关分析
) L$ e8 _ |+ E- WAnalysis of covariance, 协方差分析
! T6 t- |3 T" H4 y# C' e9 QAnalysis of regression, 回归分析
& }2 B1 ~* W! ~8 A8 Q U9 qAnalysis of time series, 时间序列分析9 x+ F- j! D& ~1 \# f
Analysis of variance, 方差分析3 T# k; [# U! q( E6 o
Angular transformation, 角转换 A( k h6 a9 B+ e' T V
ANOVA (analysis of variance), 方差分析
4 q# D% z% X6 K/ C y; B8 uANOVA Models, 方差分析模型
+ K& z7 E5 E/ MArcing, 弧/弧旋$ E6 e; B) _; S1 x: `
Arcsine transformation, 反正弦变换4 o8 U% c% Q/ u
Area under the curve, 曲线面积
; b* D4 l% ~! ^' O5 \/ }AREG , 评估从一个时间点到下一个时间点回归相关时的误差 2 f$ M8 B l( f5 l9 o
ARIMA, 季节和非季节性单变量模型的极大似然估计 & F; n, J" r1 w* m5 Y+ @% g
Arithmetic grid paper, 算术格纸6 x1 e) _* J; J, H7 ^
Arithmetic mean, 算术平均数% n6 a3 h" h/ U# a
Arrhenius relation, 艾恩尼斯关系$ m7 E2 d! j# i. E
Assessing fit, 拟合的评估) ], a) c/ Z% I3 ]# |
Associative laws, 结合律
/ e6 Q' r8 {* W/ p3 JAsymmetric distribution, 非对称分布5 D8 c! G2 z, V6 n2 \# N2 w
Asymptotic bias, 渐近偏倚# B8 _: E: `$ J0 m& x
Asymptotic efficiency, 渐近效率0 v2 [0 A' Q$ _$ M* F
Asymptotic variance, 渐近方差3 Z- d$ Z6 L. c+ N0 Y5 z
Attributable risk, 归因危险度2 ]) P0 E. c/ g4 E G: u3 n, V3 J9 {
Attribute data, 属性资料
4 m( K: u; w6 {" fAttribution, 属性
; K( V8 L0 E% M: v/ ~Autocorrelation, 自相关) G$ ~- m" E6 r" l5 C) X
Autocorrelation of residuals, 残差的自相关
- T- f( {# [/ }1 qAverage, 平均数
- a4 y9 F8 r4 W7 m3 K9 v1 FAverage confidence interval length, 平均置信区间长度
! ]8 L( k2 y- T N1 q! [6 WAverage growth rate, 平均增长率0 h1 E# y6 b/ Z: c
Bar chart, 条形图; m8 L6 d5 m! h8 l
Bar graph, 条形图! g: G$ G6 {2 l2 g
Base period, 基期
4 v) h- H$ I5 V3 a; Q! [Bayes' theorem , Bayes定理
6 b5 k! Q7 ]3 K' @! y2 u7 P mBell-shaped curve, 钟形曲线
4 p i0 c0 S) [% _% l/ P* Z$ m( v% _Bernoulli distribution, 伯努力分布( c, i a/ Y! X# V- ~! C
Best-trim estimator, 最好切尾估计量
/ k( J7 p) V8 f9 PBias, 偏性, @) y0 N, K' R3 a$ |1 O j3 U
Binary logistic regression, 二元逻辑斯蒂回归& r+ z3 ^9 K2 Q: |8 h# t3 t4 F
Binomial distribution, 二项分布
; K7 B5 |0 {, VBisquare, 双平方
- |5 A# _9 o8 e _ h: ~. gBivariate Correlate, 二变量相关
& m* M8 |$ c, V1 {" h3 _: bBivariate normal distribution, 双变量正态分布1 `, ]6 f( J3 j. M, N3 E- t
Bivariate normal population, 双变量正态总体) s% L c0 k* w* I. {% n
Biweight interval, 双权区间; {( a3 S: @& a8 Q9 @. h
Biweight M-estimator, 双权M估计量8 R F Q; j8 t3 \, o3 r
Block, 区组/配伍组
\( A( K6 c; `3 RBMDP(Biomedical computer programs), BMDP统计软件包. b, T* D0 q$ k
Boxplots, 箱线图/箱尾图& o! F# V7 n6 W+ ~+ D4 |
Breakdown bound, 崩溃界/崩溃点( \1 X% Z4 O; n$ ]' F
Canonical correlation, 典型相关
8 D) I) w, V& ]8 P( n7 M+ Z/ sCaption, 纵标目
* X f8 s% F( v( A2 QCase-control study, 病例对照研究" ^+ W9 J' a( ~7 c5 @' T
Categorical variable, 分类变量9 g: _8 H! U) x* O& o* k
Catenary, 悬链线
5 k, t% k. C+ e1 j) e9 UCauchy distribution, 柯西分布
; N$ \& T+ v! ?0 aCause-and-effect relationship, 因果关系) J& I6 z. |9 w" M# G) H9 J$ B
Cell, 单元
/ X* ^; W- w; FCensoring, 终检
' a4 i1 }4 G! U* C) _5 k, x# vCenter of symmetry, 对称中心* I3 L% v' E1 X* C a
Centering and scaling, 中心化和定标5 V6 ?# x c- a' ?. U
Central tendency, 集中趋势' ]; a2 [( s: e# a' N/ o
Central value, 中心值: D% a+ s n( F7 ~) h' E/ j6 g0 O
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测/ g: F+ r) W5 A, G
Chance, 机遇8 q( U! _" e0 Q- i! I( c2 u
Chance error, 随机误差* C7 [7 I* I1 C8 o' L6 g3 }
Chance variable, 随机变量 o. N" r0 s( {, L, t( f
Characteristic equation, 特征方程! C! a1 B! M8 w7 l( m% h
Characteristic root, 特征根
* f2 ]5 G2 C* x+ t8 b1 {& ^Characteristic vector, 特征向量
# @! O. l; q: W( A! m |Chebshev criterion of fit, 拟合的切比雪夫准则$ E5 a7 v; O) ?
Chernoff faces, 切尔诺夫脸谱图
& Z6 i9 I, c& n# v' e0 [Chi-square test, 卡方检验/χ2检验
! q; R3 c+ o: A$ H( PCholeskey decomposition, 乔洛斯基分解
8 |; d2 u% I4 s8 O3 DCircle chart, 圆图
! g( \" y2 P7 {" x$ ZClass interval, 组距9 w: `5 U N5 x! y$ u9 S
Class mid-value, 组中值
& W0 Q( o9 Q$ i0 sClass upper limit, 组上限* X0 x* v! O. a2 D
Classified variable, 分类变量4 k. C* z- J1 k, {& m6 @
Cluster analysis, 聚类分析
/ s @; S# q. ^ B& kCluster sampling, 整群抽样9 L' g) c4 ^) Y) A
Code, 代码
5 S* Q ]2 g6 U$ N) aCoded data, 编码数据
$ k# s0 X8 t& Z2 x3 I( M4 h SCoding, 编码
5 |2 X7 ^ Y3 c3 ?7 F5 B' ]4 y1 ^ ZCoefficient of contingency, 列联系数
/ u3 e! x) S& M# i5 eCoefficient of determination, 决定系数
I2 ~* [& W4 RCoefficient of multiple correlation, 多重相关系数( B, O) e9 r+ i
Coefficient of partial correlation, 偏相关系数
) k7 J7 t4 @( F. F7 s3 R# G \+ p dCoefficient of production-moment correlation, 积差相关系数
9 ]! j6 t" B! e# O6 ^9 pCoefficient of rank correlation, 等级相关系数
9 M' } F3 g- f) x+ C( r+ WCoefficient of regression, 回归系数
2 g) f; N* v! [7 B$ zCoefficient of skewness, 偏度系数
! a3 t& a5 L5 q" dCoefficient of variation, 变异系数
/ \% r. t0 V% r; CCohort study, 队列研究2 `: k7 u% T+ ^$ r( `7 l# d3 l
Column, 列
# M9 m a2 ^3 N" }; }5 o6 l) yColumn effect, 列效应 t; g) X$ H# r0 e% q1 c0 J
Column factor, 列因素; E6 ^; ~" [ p+ d: P
Combination pool, 合并; `, ?& b2 t4 }: |
Combinative table, 组合表3 p* Q4 Y8 ]% c' M% D/ I
Common factor, 共性因子1 v, j& r. i) N8 S/ _+ k! Y
Common regression coefficient, 公共回归系数% ` }6 g. ]) t: {6 g& o
Common value, 共同值3 y' h; [2 A+ }: B6 t
Common variance, 公共方差
$ e2 S! n. }+ o5 k( F/ |4 C6 `) R$ m: dCommon variation, 公共变异
4 W9 F' p7 x4 q1 ICommunality variance, 共性方差
" A) d$ ^) j- b- A8 K0 `Comparability, 可比性
3 R: I# z+ j% R+ eComparison of bathes, 批比较' P; J1 w- B* C' F; F" i4 J
Comparison value, 比较值9 L/ ? w9 @. g9 ^/ p
Compartment model, 分部模型
' ^' `- C" Y# Z; d' D/ p7 K9 WCompassion, 伸缩' E* m. y# p9 C |8 p
Complement of an event, 补事件9 ?" y3 g4 B5 H) S9 w+ c
Complete association, 完全正相关' ~+ [/ I8 R4 l4 z" N
Complete dissociation, 完全不相关# H$ D5 G# D. K( `3 S" u8 D0 h
Complete statistics, 完备统计量# ~+ `/ e5 k0 Y% H( c0 J
Completely randomized design, 完全随机化设计
# u* j* B e; M) _ z CComposite event, 联合事件" \" K- C0 U" P. Z& P% e8 @. V
Composite events, 复合事件
! u: |4 g# O7 c: A2 Q% j6 {Concavity, 凹性
' j( i+ [# A5 v! z$ BConditional expectation, 条件期望' P3 m( i+ b- H! d1 m# r
Conditional likelihood, 条件似然
" U+ Y# \+ g7 v2 A/ t# j* v& B: RConditional probability, 条件概率0 q9 f( v3 F. H6 c! k: f* x" T- S3 |
Conditionally linear, 依条件线性
* H# a+ p4 k5 w# B1 |Confidence interval, 置信区间
1 C# j; P. L6 ~6 O1 e& l) G6 mConfidence limit, 置信限1 Q3 x! }7 W$ F% G2 c
Confidence lower limit, 置信下限
; s* R! d' T* G( k* ^" Z) a! q2 d: jConfidence upper limit, 置信上限0 Y3 X/ d* W! Y
Confirmatory Factor Analysis , 验证性因子分析
; c. j9 z: s3 A! o' @1 UConfirmatory research, 证实性实验研究0 D# q$ R, l$ Q* F5 I' i7 P
Confounding factor, 混杂因素
1 s/ m5 s7 I; l$ G& F" n6 X9 oConjoint, 联合分析
2 d$ P7 F. b' h+ PConsistency, 相合性
/ ?9 U5 C5 ^2 a: b& S0 }- ^Consistency check, 一致性检验; g3 Q: B) O2 g( e
Consistent asymptotically normal estimate, 相合渐近正态估计# f& ?: |7 i3 k9 w1 q" I7 z
Consistent estimate, 相合估计4 Z; J9 e3 {# g6 ?7 Z K
Constrained nonlinear regression, 受约束非线性回归, e2 O' a8 x( {: C# m
Constraint, 约束
/ q/ k# H+ x0 ^! eContaminated distribution, 污染分布# D* Q. o8 f) r. a2 Y& u
Contaminated Gausssian, 污染高斯分布; S" c, k. W, w% H
Contaminated normal distribution, 污染正态分布
- z9 s' m- d. T8 c- M: uContamination, 污染
! m% ]3 w# a" Y+ L6 j1 g6 E$ ?+ FContamination model, 污染模型
. k' A* l' O. d0 a- ]7 H6 P" TContingency table, 列联表
- O; h! Z/ r5 |) s, }3 [Contour, 边界线
' P/ s' e5 h5 h6 z' b: OContribution rate, 贡献率
' d$ t8 n( R# c' `Control, 对照
# U- n, k; i! Q3 Y% e0 |- s( FControlled experiments, 对照实验
- I: n& }9 a. N7 K7 o. z e& Y8 p( j' _Conventional depth, 常规深度
& _9 w2 _$ ~) U6 U* q+ T4 s: jConvolution, 卷积/ m% y i/ ~3 n* S) Q( |
Corrected factor, 校正因子% ~% H( X5 }) f u: L
Corrected mean, 校正均值7 U2 [3 L5 U( \# f
Correction coefficient, 校正系数
- D" a# T6 P) R6 O) ^: KCorrectness, 正确性/ y6 R4 C5 F. k1 N4 ]3 W: }
Correlation coefficient, 相关系数0 T. h9 W* l: o7 w2 }
Correlation index, 相关指数
8 H9 L- _9 s0 PCorrespondence, 对应
2 D; q$ u3 B/ ^Counting, 计数
6 {0 S5 a, X2 y9 S i7 i, v) j3 ] JCounts, 计数/频数
* T( Y+ @7 E TCovariance, 协方差. @4 d9 i" X1 E" J
Covariant, 共变
4 Y# i. J j1 O2 l9 ~' m* OCox Regression, Cox回归9 c4 x6 n- S; N8 F: I3 T
Criteria for fitting, 拟合准则8 @, P( T+ s' |
Criteria of least squares, 最小二乘准则% A) b4 g+ P7 F" K7 e& j
Critical ratio, 临界比; b$ \4 N& \/ J$ s+ e4 P% L
Critical region, 拒绝域% G w1 Z( H/ [5 z- C" v
Critical value, 临界值
# F1 m/ ]8 T BCross-over design, 交叉设计
# l9 \! b. V4 w7 z% B% s4 dCross-section analysis, 横断面分析
/ D6 \5 t$ K' w4 X$ n0 \Cross-section survey, 横断面调查
$ n9 E# F T$ N0 @0 h0 D8 c' [Crosstabs , 交叉表
2 e, `8 l5 ~: N" YCross-tabulation table, 复合表
( {# n4 G! s/ B3 hCube root, 立方根 H* u8 @8 c: ?8 X8 F
Cumulative distribution function, 分布函数 Q% ^1 |1 w5 p# W) \/ t$ n( a/ ]. a
Cumulative probability, 累计概率- U, T* E8 w L) t
Curvature, 曲率/弯曲
a. S8 Y! c/ ~+ h9 pCurvature, 曲率
9 @" ^& n" U" X" v8 fCurve fit , 曲线拟和 $ Q) T0 d+ u4 J
Curve fitting, 曲线拟合
' X B! x0 _+ G, hCurvilinear regression, 曲线回归, F+ F3 X$ e( [) _1 @
Curvilinear relation, 曲线关系8 N4 ^! Z' f2 q0 J: q S* s' Z
Cut-and-try method, 尝试法1 r z1 a* g( G( K9 @; x& w
Cycle, 周期4 J8 P5 S8 u/ q8 ^+ u
Cyclist, 周期性$ @. r4 M" |0 e6 u5 Y
D test, D检验8 {* e5 N R% v* ?
Data acquisition, 资料收集+ I/ d: }+ j" _5 O0 y: U
Data bank, 数据库6 Z% ~" l5 ~: G1 p
Data capacity, 数据容量 Q5 ~+ {: s' O
Data deficiencies, 数据缺乏2 _/ T8 i' z; g: ?0 _( l. B& ?) w0 l
Data handling, 数据处理+ o' N# G; D3 n
Data manipulation, 数据处理4 r- p3 r2 Z4 N4 k5 D' u0 I
Data processing, 数据处理
! g0 c# W3 t5 `2 S7 }6 BData reduction, 数据缩减
" o% Z1 S/ {9 L% a+ \/ NData set, 数据集( H& O. y7 D0 ~8 w
Data sources, 数据来源- c3 U1 ^/ u2 E3 Q. y* `
Data transformation, 数据变换
3 R+ p1 W0 J& u2 l0 qData validity, 数据有效性
]' p5 Z1 v: J' s( T/ k: g* h4 zData-in, 数据输入
2 U! k( y8 t; {. _2 ^Data-out, 数据输出! ?0 ~5 }3 {, b& H" `
Dead time, 停滞期% y: e8 _$ q0 J, }( N9 u9 K5 F' t/ w- m
Degree of freedom, 自由度
5 e, B/ B0 @ ^% ]% ^0 {, `Degree of precision, 精密度- |3 J9 ]1 z3 L- U8 R M" T$ C
Degree of reliability, 可靠性程度3 C, B! D Z" k( p& t4 a
Degression, 递减
_. q4 c2 ]9 i# q* y& XDensity function, 密度函数7 x+ w# P8 Y$ A: E! Q% Y ?' V
Density of data points, 数据点的密度
/ ]& q: I9 N' V" iDependent variable, 应变量/依变量/因变量5 O% C+ r% f$ a6 |1 ^
Dependent variable, 因变量
/ \& e% v( v, R0 H0 {$ i# K0 PDepth, 深度5 |& @/ E8 X! V1 V/ ~& @4 I
Derivative matrix, 导数矩阵3 G8 v; ~# f- [( Y
Derivative-free methods, 无导数方法
5 g" j( H B ~4 ADesign, 设计1 i( j t4 V+ c5 I. ]% }/ i0 `
Determinacy, 确定性
4 A" v! N2 p2 X7 f! Q9 LDeterminant, 行列式6 O7 {7 T! q* n3 {- a; `
Determinant, 决定因素
- _# S$ J M0 v" k4 SDeviation, 离差
) |, ?8 D* A0 g0 {% ?1 wDeviation from average, 离均差3 K. M0 l9 {# o$ k
Diagnostic plot, 诊断图
5 g4 p* l* ?$ l! r! gDichotomous variable, 二分变量2 @( [7 f$ s0 u1 ^; v9 M' P& Z; S
Differential equation, 微分方程
' p8 N( \5 i7 t- F5 V$ ^! `' `2 JDirect standardization, 直接标准化法
. b# o. R" w* ?9 eDiscrete variable, 离散型变量% g" i9 d( T; z4 a4 w, ^: p$ B
DISCRIMINANT, 判断
5 y% v/ B- U8 T; }3 ODiscriminant analysis, 判别分析
' F% R- q9 n; Q- X% ^! v! m& kDiscriminant coefficient, 判别系数 o1 d8 S& u1 Z: L7 V: d
Discriminant function, 判别值
+ o0 i4 v3 F8 W. bDispersion, 散布/分散度
& l- @9 j7 A6 K0 R3 u8 |Disproportional, 不成比例的$ g7 L" {% V% k% L
Disproportionate sub-class numbers, 不成比例次级组含量
R/ ^" s! Q5 Y" J# w3 L. _9 e5 ^( yDistribution free, 分布无关性/免分布7 }& b* J3 D* ]" J" W
Distribution shape, 分布形状
" X3 m5 d. p& gDistribution-free method, 任意分布法. a: U5 ?4 p. I7 K. ?( [
Distributive laws, 分配律4 F$ V" w; B( Z M: ^$ y
Disturbance, 随机扰动项
7 s" E: \4 [5 o7 T3 [& w8 U# ADose response curve, 剂量反应曲线. E H2 P- _+ Y; o/ V. L
Double blind method, 双盲法+ c2 }3 C6 z; U" v6 [9 N
Double blind trial, 双盲试验
. i4 t& F' M9 b4 |6 c9 F- Q( MDouble exponential distribution, 双指数分布
& J: W6 D( a8 V4 k9 g* GDouble logarithmic, 双对数
+ s3 r8 | ?! f* x- J, IDownward rank, 降秩
" |! Z- I: y9 k" f( cDual-space plot, 对偶空间图; u8 `: G/ V" q3 i% i" d& X
DUD, 无导数方法+ E: c+ Y) y7 e. a9 g; v
Duncan's new multiple range method, 新复极差法/Duncan新法8 g1 ~6 n% H+ ]6 H7 @; j1 R
Effect, 实验效应" q/ P1 M* }6 [9 X' B
Eigenvalue, 特征值' w' Y3 j* q Q& R; \
Eigenvector, 特征向量9 [* w7 |: i# c+ ~0 _+ W( P5 i& `
Ellipse, 椭圆
# ]! _0 i; ]: U5 n8 QEmpirical distribution, 经验分布2 T: A7 \" @& P- e+ |) A
Empirical probability, 经验概率单位4 }2 ~$ E% S$ D9 R2 f( A, y
Enumeration data, 计数资料
- Q2 C6 q, M4 x/ @( hEqual sun-class number, 相等次级组含量7 y# u& K0 ~7 p/ t8 O) H. w& b
Equally likely, 等可能
3 {8 I; A# x- S* e9 l) E3 J8 GEquivariance, 同变性
: Q& a' |1 ^" Y9 A, y) Z- \5 bError, 误差/错误
0 z0 J: o- ^$ w4 a2 bError of estimate, 估计误差
6 ^% _2 a. O6 H' _' z4 kError type I, 第一类错误
5 B- ?; z# w( V1 PError type II, 第二类错误; X0 U8 c# i6 s+ W
Estimand, 被估量
& ]( A, d! k9 b; U# Q- z9 z: N8 I2 MEstimated error mean squares, 估计误差均方
6 L. N( ?- {2 r5 S2 N# A. R% V) S( JEstimated error sum of squares, 估计误差平方和
9 g+ L, G. K3 o% ZEuclidean distance, 欧式距离* z( {- P2 V6 Y
Event, 事件
9 _0 O4 |) d; O; _2 c$ M; U- DEvent, 事件
) u) C6 I6 P9 h" F$ C0 i( I' CExceptional data point, 异常数据点( x! ` {$ K. z9 ?2 m: d) e
Expectation plane, 期望平面& @: M6 a0 O7 i. z! J1 h
Expectation surface, 期望曲面
2 X( c: m0 l. i ^# }/ l9 DExpected values, 期望值3 `* ~; b4 T' S$ J. _
Experiment, 实验0 j" P5 z4 d' V
Experimental sampling, 试验抽样
4 H% F* {- z6 p" |: L7 RExperimental unit, 试验单位0 p, A+ B! O O7 K+ c, F# ~( I2 b
Explanatory variable, 说明变量
\" i' W/ R; ~. SExploratory data analysis, 探索性数据分析
7 h& s7 {! W- e' q1 aExplore Summarize, 探索-摘要4 Q o% N0 D! Y& x4 `9 P
Exponential curve, 指数曲线7 I/ P; O7 n5 S0 p9 _0 m0 S
Exponential growth, 指数式增长
8 e( ^& {7 D- n2 r) `3 W3 |" mEXSMOOTH, 指数平滑方法 / k9 `% ^2 i7 S y3 W3 R
Extended fit, 扩充拟合
+ f0 @/ B. n% `2 r6 c! qExtra parameter, 附加参数" `4 M( V- Y8 h. `- @) z
Extrapolation, 外推法
1 i3 |/ l9 {9 j! Z1 Q9 T5 ^$ fExtreme observation, 末端观测值
) J% p- v5 v( I8 V1 VExtremes, 极端值/极值8 c2 ~& T% b* z! e! ~6 S# X+ h
F distribution, F分布1 \) s8 D3 Z# o/ a' H% H& X1 q
F test, F检验, p3 P7 V0 l% Q
Factor, 因素/因子
* j' Y. X8 [0 q) l# X$ SFactor analysis, 因子分析' T. O5 z4 ]" V5 n
Factor Analysis, 因子分析
$ F' g2 f; [% x4 p! A' [2 A9 ?Factor score, 因子得分
3 I$ \ T. P; g8 u$ Z8 ?: kFactorial, 阶乘5 y: _! \9 y4 g; H; p# d
Factorial design, 析因试验设计
* F) W( B4 e. ]( NFalse negative, 假阴性
# D# c$ j7 ?5 b5 \; yFalse negative error, 假阴性错误
6 {* ?- @0 Q* f/ J3 k$ sFamily of distributions, 分布族
9 L' n2 g& \4 Y6 A# P' uFamily of estimators, 估计量族$ h0 _% K T- a6 H5 u$ @
Fanning, 扇面
$ C' N/ o) K" ~0 y" Z. wFatality rate, 病死率
`$ N9 Z* U8 c: b* R1 FField investigation, 现场调查
/ O! F3 P1 J [. rField survey, 现场调查
# Y( U2 E7 j& _* ~0 j8 w3 x7 E9 WFinite population, 有限总体& r5 r+ c6 @; Q4 L+ M
Finite-sample, 有限样本
! a" W* p/ ]1 {( |& B1 W2 d/ c5 sFirst derivative, 一阶导数" n% s0 y+ o, ?3 h9 K
First principal component, 第一主成分+ `1 `: E! W* _& O; O! X4 P1 f) Q1 O
First quartile, 第一四分位数
( b5 J, S; m2 Q1 i* H( b+ p) m4 m; UFisher information, 费雪信息量
* O/ r8 {4 h% X; S, w9 RFitted value, 拟合值
5 Z/ ^8 {; N: h; ]; ~8 hFitting a curve, 曲线拟合
3 z4 w1 H4 g8 M" ~5 D* z% XFixed base, 定基; M8 j( j. P+ ?
Fluctuation, 随机起伏, }9 j! H# S- J* R9 ^
Forecast, 预测6 p. c4 u; e) D/ |& a& l+ ^
Four fold table, 四格表
+ T# u1 l6 t$ BFourth, 四分点. p: }) Y0 w- e
Fraction blow, 左侧比率
& b2 ^' u# l; jFractional error, 相对误差
; p8 P3 n- Z! f3 [# T7 r6 D: GFrequency, 频率
3 T4 N: S T* W E% LFrequency polygon, 频数多边图
" t/ ?. b7 V- P7 y0 T s2 IFrontier point, 界限点
( k2 m- U- D+ m& t, \2 g* y5 xFunction relationship, 泛函关系0 o9 X2 `9 i4 f
Gamma distribution, 伽玛分布
3 t% e) z- F1 v1 T+ {Gauss increment, 高斯增量; u: k# ^2 i) R! q1 l
Gaussian distribution, 高斯分布/正态分布
* m- `; @% H5 N: UGauss-Newton increment, 高斯-牛顿增量
1 k6 m. O1 o$ O3 V% YGeneral census, 全面普查, n# ]* j0 {" x* ~- H
GENLOG (Generalized liner models), 广义线性模型
8 h. U" ]4 p9 t) Y- HGeometric mean, 几何平均数
0 c* I: J5 y" r& U* J1 p+ F0 [Gini's mean difference, 基尼均差
[0 _+ k5 L+ h# V xGLM (General liner models), 一般线性模型
- ?, s2 ~ z% y6 d: `Goodness of fit, 拟和优度/配合度
: C$ X6 ]2 F& d. U- Q! [( ~Gradient of determinant, 行列式的梯度 J4 i, D( f; e$ O8 {
Graeco-Latin square, 希腊拉丁方
: z8 T% t {6 hGrand mean, 总均值" T# A" A7 R9 B( |/ R
Gross errors, 重大错误 g9 `2 P( T* i$ N6 s9 H" t
Gross-error sensitivity, 大错敏感度8 T. O. y2 q2 C9 }' r; I
Group averages, 分组平均
/ N; l3 t5 R) j- Z0 B0 H& J, F _Grouped data, 分组资料) I# {9 S& j4 Q! g
Guessed mean, 假定平均数0 H7 O6 u% c! P6 V: V2 p
Half-life, 半衰期
7 S4 q3 T f& C, s! LHampel M-estimators, 汉佩尔M估计量9 u- |# g& ?; c5 D8 W1 m7 _# D
Happenstance, 偶然事件; @4 ^5 @+ L4 t3 g( O0 ` }
Harmonic mean, 调和均数; s1 _8 X; p1 c( x' t) }- L1 \
Hazard function, 风险均数
* D7 b$ R0 M- YHazard rate, 风险率& ]9 ~4 C# @+ Q9 D8 G- o
Heading, 标目
. P1 i i% b+ q' ]% Q( SHeavy-tailed distribution, 重尾分布: x$ E/ J/ a6 E& i' S! E
Hessian array, 海森立体阵
2 D2 \7 ?, i P( dHeterogeneity, 不同质8 ]$ N7 R9 j. p" p5 g) a+ d! m$ D9 f
Heterogeneity of variance, 方差不齐
$ W9 y( H s0 R' L9 w5 gHierarchical classification, 组内分组
3 u! w+ g) ]1 @* fHierarchical clustering method, 系统聚类法3 V. h' L4 c. Y* z# b7 L! I
High-leverage point, 高杠杆率点
# J3 e7 U3 w6 P" j% e9 A4 ?HILOGLINEAR, 多维列联表的层次对数线性模型! @2 c! X* F8 A& S
Hinge, 折叶点
( w* n$ ]; [3 W uHistogram, 直方图2 u. b }+ k, ^& i r
Historical cohort study, 历史性队列研究
" Z/ U3 R: Y- p+ WHoles, 空洞9 Z6 i0 J! X) F2 U4 F
HOMALS, 多重响应分析 U1 c3 @3 d, F8 l
Homogeneity of variance, 方差齐性, X% q+ V, w4 M+ d+ t1 X8 W
Homogeneity test, 齐性检验. \2 G5 ^1 E6 H
Huber M-estimators, 休伯M估计量
( D4 b; p* W7 W6 Z( w$ u/ |! o6 n! aHyperbola, 双曲线
; B2 ^$ | ~9 k! I& }. ~3 D! LHypothesis testing, 假设检验
( J& B3 W0 n* P! m! e4 {Hypothetical universe, 假设总体* Q* Z! \5 u/ d5 e, ~
Impossible event, 不可能事件
9 E$ N8 i# z1 _' L. R; j: y" v& QIndependence, 独立性
/ V; H7 ^/ Z* ~) dIndependent variable, 自变量/ D( D0 ~& d( f! I4 W
Index, 指标/指数7 {; `2 [7 W" y% P; M# p
Indirect standardization, 间接标准化法1 X* F% ?# K9 Z; ]% E
Individual, 个体1 c7 R* O i, D
Inference band, 推断带, p4 S/ h- u4 }, i) X( `, Q0 [
Infinite population, 无限总体
! `4 ^- X! X$ _' e2 L% qInfinitely great, 无穷大) ^4 K2 `8 o. O2 I( H- d
Infinitely small, 无穷小2 G$ F" G5 V' j9 B1 H: u9 l
Influence curve, 影响曲线
5 K8 d" l5 v/ p. d: u3 B7 vInformation capacity, 信息容量- I' @. u5 H( M7 Z$ k8 H) Y
Initial condition, 初始条件
$ H0 q6 v4 e- R% Q& a( ^Initial estimate, 初始估计值
( B. y3 B8 O) l; N# yInitial level, 最初水平, C& |+ z- `. }/ {' ^
Interaction, 交互作用
' R9 C/ Z8 ~+ U* a" T2 hInteraction terms, 交互作用项
4 z% @' A0 n) F( |5 m( mIntercept, 截距5 ~& y! E- G' v8 H5 C3 e
Interpolation, 内插法7 x4 ~/ s/ n1 R* m( g& U
Interquartile range, 四分位距6 J2 j& t5 X4 A$ _$ _. S1 C4 D3 F
Interval estimation, 区间估计% U) c- g4 H+ ]3 B# Z7 _
Intervals of equal probability, 等概率区间8 {; R. F/ s6 a) s2 B8 G) y
Intrinsic curvature, 固有曲率
, B: ^9 @5 o9 U+ a3 EInvariance, 不变性+ Z9 q7 V% \' z6 q6 v( X
Inverse matrix, 逆矩阵' a# \0 S9 i4 {: L1 m2 C
Inverse probability, 逆概率2 m7 ~( O- `8 O2 w
Inverse sine transformation, 反正弦变换
D/ t! n+ B- q3 Q8 c2 z) HIteration, 迭代 % G/ f2 N ? U6 S, o3 N
Jacobian determinant, 雅可比行列式/ z# v$ g- ]/ h1 `
Joint distribution function, 分布函数
9 p9 A, r. T1 j) S! ^6 `Joint probability, 联合概率
; y6 _# x/ T0 W+ p0 W4 U" KJoint probability distribution, 联合概率分布
5 N5 z. B7 d, ^1 ZK means method, 逐步聚类法
2 F4 _! E( I+ aKaplan-Meier, 评估事件的时间长度 : [2 o; _& R" G, M, n0 A* Z. ^ ]
Kaplan-Merier chart, Kaplan-Merier图2 {: A% j" r2 k d6 o
Kendall's rank correlation, Kendall等级相关
" B; \) t. h' D U8 q- \+ _Kinetic, 动力学
" }' c" Y/ K0 R2 ?: X& K8 mKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验# R; C5 B: k/ t
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
6 z, ~+ U- ?* v. \/ K5 D4 a; mKurtosis, 峰度 N$ H! U1 [1 k( K2 z
Lack of fit, 失拟6 ~8 y' y2 Q. R9 A; v2 n
Ladder of powers, 幂阶梯1 @+ k- R. \- A
Lag, 滞后& P1 J1 u* y4 v `
Large sample, 大样本
% t2 J3 b" e+ N8 O2 D* ]4 h* yLarge sample test, 大样本检验
3 R+ h3 W6 u g- {9 {7 tLatin square, 拉丁方' {7 } o5 o! C! Y) J
Latin square design, 拉丁方设计% @' w+ n1 h( t$ g' r% p8 R' C/ [
Leakage, 泄漏
; u$ M1 B2 c9 z! K* K: HLeast favorable configuration, 最不利构形7 Z9 W T& u. N" z9 z9 A
Least favorable distribution, 最不利分布
( s& t. u' p& k5 r& ]Least significant difference, 最小显著差法& V1 b3 s0 Q: D- T3 R
Least square method, 最小二乘法
; j* R6 w& s! X6 A0 H* g/ p; ~Least-absolute-residuals estimates, 最小绝对残差估计7 ?# @# L( e& F6 Q
Least-absolute-residuals fit, 最小绝对残差拟合
0 {6 ~$ c* j; b5 ]. d$ h% V: R0 m% kLeast-absolute-residuals line, 最小绝对残差线
6 K0 m$ L1 N( x. r$ VLegend, 图例
8 T: ?' l4 [' u [" }3 J" KL-estimator, L估计量
1 b& R& k, O8 _L-estimator of location, 位置L估计量$ s9 {* u0 u* c4 K% ]
L-estimator of scale, 尺度L估计量
i) e- U. b- x6 ]6 uLevel, 水平
* \$ o0 R* H0 I0 sLife expectance, 预期期望寿命# Y+ y' Z2 R. t8 O
Life table, 寿命表
! D& P1 Z$ H# T5 Y# W7 @Life table method, 生命表法
E3 c# o; @- f8 ] W. B: n9 lLight-tailed distribution, 轻尾分布
* X f% v) S3 Q7 Q1 QLikelihood function, 似然函数6 a* F0 d, y) z6 F& f
Likelihood ratio, 似然比
+ |' ^* l9 R+ l9 pline graph, 线图6 O8 u: z9 R' S9 V
Linear correlation, 直线相关1 N" i- F2 s+ B0 t: m+ n
Linear equation, 线性方程
) Y3 c# m# U9 O3 OLinear programming, 线性规划" D( s& y/ B1 g- {: F3 y3 J
Linear regression, 直线回归5 l% S7 W$ v8 `+ X9 _6 A
Linear Regression, 线性回归6 y3 @! v+ J4 t' Y) D: l" P4 _2 L
Linear trend, 线性趋势
$ `- }* S) k; f1 J. o) tLoading, 载荷
0 p! W. l- r3 I( O3 w% ^" w0 i: qLocation and scale equivariance, 位置尺度同变性
# k9 Y m/ x6 ]0 vLocation equivariance, 位置同变性
" n& d* r E$ a5 d# ~+ OLocation invariance, 位置不变性. \' C6 h- k$ t6 U, E0 r1 x u T. C
Location scale family, 位置尺度族+ B: v; c# t% P5 Q9 Q3 t
Log rank test, 时序检验 ! p5 ~5 D% H" n$ x$ I$ P9 S6 B
Logarithmic curve, 对数曲线- I7 R8 P# s/ {/ Y$ ^4 K9 i
Logarithmic normal distribution, 对数正态分布3 Q# n f2 z2 W) H1 X8 |
Logarithmic scale, 对数尺度; `5 X$ `) T! N5 s- [) @; g% r0 k7 p
Logarithmic transformation, 对数变换
2 B5 R! B$ `' |& v) cLogic check, 逻辑检查
; n# S4 V( c; n$ X6 {+ GLogistic distribution, 逻辑斯特分布, G' c8 Q! V1 i B- z# z+ G# q
Logit transformation, Logit转换
K* F9 \" f# i! V1 @LOGLINEAR, 多维列联表通用模型 " {- J' V0 N; H# s! T
Lognormal distribution, 对数正态分布
0 @1 z5 ^0 m; i4 wLost function, 损失函数8 e' Q# W, o, \& Y
Low correlation, 低度相关
& s0 T$ q7 @, b. V( }: a/ ELower limit, 下限8 b2 G4 H/ E( [6 c' V
Lowest-attained variance, 最小可达方差
. I- \: b4 W: a3 b6 r& a3 _9 oLSD, 最小显著差法的简称" f( o p, t0 I: y7 c# z9 X
Lurking variable, 潜在变量
: z- |7 Z7 o& z3 e2 [5 x4 H" c) P' SMain effect, 主效应2 J l# C( A( q7 _9 [
Major heading, 主辞标目 {- a3 O/ R, T0 I2 X
Marginal density function, 边缘密度函数
* G# s; A* \7 h4 D ?" s1 x qMarginal probability, 边缘概率
! Z: ^2 t) w& ~9 d+ yMarginal probability distribution, 边缘概率分布
3 \$ E9 K* U% s8 x% ?Matched data, 配对资料
. O2 S# `2 n( dMatched distribution, 匹配过分布
) H) C( \" e* dMatching of distribution, 分布的匹配0 l# ~: P w% [/ M$ o& M
Matching of transformation, 变换的匹配1 A: \! h/ U1 r6 _2 I
Mathematical expectation, 数学期望" D! e$ z4 `' X, v1 E/ m
Mathematical model, 数学模型
: L1 t" `1 c( _$ K9 X/ {$ c( |Maximum L-estimator, 极大极小L 估计量) O# G' r/ u; \ J4 N
Maximum likelihood method, 最大似然法. z' f1 y. I/ Q3 [* W
Mean, 均数 [) } ]. T! H! \
Mean squares between groups, 组间均方; b2 G9 |; I& r
Mean squares within group, 组内均方
0 T0 z0 u2 M( I( j& K( MMeans (Compare means), 均值-均值比较4 H3 K4 I3 E- _- l9 C5 v6 R8 a
Median, 中位数6 z5 m" m! T( `4 l
Median effective dose, 半数效量
3 u! P( w9 H* b5 tMedian lethal dose, 半数致死量
' q; ~) D# |2 q' @2 y2 CMedian polish, 中位数平滑
5 y! z2 v; y4 {: b/ \8 \3 \Median test, 中位数检验/ ~% Z- f! G( A0 j( M
Minimal sufficient statistic, 最小充分统计量) r3 ^ h+ l( ]% U5 }% w
Minimum distance estimation, 最小距离估计
- L0 e- D/ ]1 K% L5 D$ f" D6 W, pMinimum effective dose, 最小有效量
+ U+ o1 S. ~! ]3 yMinimum lethal dose, 最小致死量
8 A) } o# z# |$ U& I: SMinimum variance estimator, 最小方差估计量- y, f$ z' V" K' d: g/ g
MINITAB, 统计软件包* `% _! D1 g | J( t1 y7 k0 [
Minor heading, 宾词标目
1 E! [9 L$ ?. K. LMissing data, 缺失值: x' v& T$ G% c2 P
Model specification, 模型的确定9 I# u' Q$ D0 g7 U1 M
Modeling Statistics , 模型统计
+ G- B0 s& E8 Z* l9 x6 _+ p, } oModels for outliers, 离群值模型
" h9 a4 z" M9 ~! g4 K5 K- kModifying the model, 模型的修正
9 Y8 y( R* {9 d- g5 _) {Modulus of continuity, 连续性模- e7 D" b p9 V9 Y
Morbidity, 发病率 1 S6 E9 R* e$ R3 ?6 F- l- q% V
Most favorable configuration, 最有利构形
0 r7 w' n8 t5 M2 m7 q$ rMultidimensional Scaling (ASCAL), 多维尺度/多维标度1 ~5 _0 u5 j" O# |% W K* i0 f
Multinomial Logistic Regression , 多项逻辑斯蒂回归3 M9 A6 A& r% x+ w1 a- k
Multiple comparison, 多重比较$ W' [$ G9 e) C1 J, H% G' O/ D
Multiple correlation , 复相关
: D ^* E) X% F+ QMultiple covariance, 多元协方差2 |- R1 W) n9 D
Multiple linear regression, 多元线性回归
5 m% @4 @' v/ e. t( SMultiple response , 多重选项
s2 d f H% AMultiple solutions, 多解( d. a( T% r; X8 G4 _% V4 E7 e4 `
Multiplication theorem, 乘法定理
; R* V E+ B( X8 l8 r( U* N! S; VMultiresponse, 多元响应2 M6 Z6 r( [4 p5 V+ C
Multi-stage sampling, 多阶段抽样
# q9 D3 {9 d. B- ~2 W/ E W3 dMultivariate T distribution, 多元T分布0 X( @* x/ f; f$ ~. S+ @' f
Mutual exclusive, 互不相容5 _( u- i3 ?* H) ]
Mutual independence, 互相独立
+ C2 d6 k4 ^& b5 l* rNatural boundary, 自然边界- O9 I4 [7 u; e8 ]8 ?: _* f- B: K
Natural dead, 自然死亡
: o; y& A+ |/ s: iNatural zero, 自然零 Z. o! [. ]% K/ L a- e* L8 ^
Negative correlation, 负相关6 T: I; ]6 `' Q& I0 M
Negative linear correlation, 负线性相关 `9 h2 g4 x3 E' q0 u6 v+ D
Negatively skewed, 负偏" Z8 W# E: w1 T, d" @! O4 D
Newman-Keuls method, q检验
; T7 f$ u9 s' NNK method, q检验
' i' L, C. N! w0 `3 W# UNo statistical significance, 无统计意义
* O1 u" U; r5 U" F |8 e0 V3 H4 |Nominal variable, 名义变量
4 S+ t9 t) e8 W' O+ L7 {Nonconstancy of variability, 变异的非定常性
: U r# z6 L, {6 X. ^( `" JNonlinear regression, 非线性相关
0 x; c$ [* J+ v1 c x2 pNonparametric statistics, 非参数统计% h; b! q" R, t6 m$ G& f
Nonparametric test, 非参数检验% \) g W/ y, i- m @& O7 p
Nonparametric tests, 非参数检验1 A# r$ {2 G& l3 o d- C6 ~
Normal deviate, 正态离差# Q/ r- [* m: E+ l7 r; c
Normal distribution, 正态分布
! a' q' P7 @' F% M0 \6 H1 k* ~Normal equation, 正规方程组
% r& G4 Y6 l( C# {; ONormal ranges, 正常范围
3 l9 p* O; ? kNormal value, 正常值8 l7 ?9 h& ~+ e8 d& v& O
Nuisance parameter, 多余参数/讨厌参数. f. f! B: ]' p- `& t
Null hypothesis, 无效假设 / W H; U0 w8 f: N, H6 E7 P2 ^
Numerical variable, 数值变量. c: d% H. D" m% {) z
Objective function, 目标函数
" p4 t1 m! h# [+ nObservation unit, 观察单位7 T: @0 P, d+ _& a: M9 e' D6 {
Observed value, 观察值4 \0 S* w8 l. _' f% X6 T
One sided test, 单侧检验
; a$ C& e2 Q1 yOne-way analysis of variance, 单因素方差分析8 D, D6 a( o, {) d' ?2 q- e+ x
Oneway ANOVA , 单因素方差分析! Y- R3 s: a% Y( {/ H3 m
Open sequential trial, 开放型序贯设计- q0 W: C9 L6 b) t; ~5 o
Optrim, 优切尾# _9 c2 U2 ]% f
Optrim efficiency, 优切尾效率& O- q4 s% E& ]. _8 L; X) ]/ C' u
Order statistics, 顺序统计量; t; Z% }# J- T0 G' \$ Y
Ordered categories, 有序分类
2 h* G5 o6 c5 q6 SOrdinal logistic regression , 序数逻辑斯蒂回归
5 C# ]3 Y# Z% \" E' E" `; e6 K# xOrdinal variable, 有序变量
# {4 W/ D: q2 Y' qOrthogonal basis, 正交基
6 N- o% u; }$ n- l% j: R6 FOrthogonal design, 正交试验设计- ~. `% l! D7 ~& Y2 f( c
Orthogonality conditions, 正交条件2 F2 l* S6 H( r3 a9 l" B% J! ?
ORTHOPLAN, 正交设计
5 v3 x2 ^0 q# `9 ?- r+ i( a: ]2 ?) OOutlier cutoffs, 离群值截断点
* p* ?. P; E8 D' _: b( AOutliers, 极端值
; ^) G- N9 G1 T, y5 H9 Q% Q4 K cOVERALS , 多组变量的非线性正规相关
. r9 a2 _9 d, I# WOvershoot, 迭代过度 _ b4 s3 k+ G+ W
Paired design, 配对设计* f. \5 B6 N! P3 N0 G
Paired sample, 配对样本+ R, V2 O+ z3 o/ u$ c9 n8 I- r& i
Pairwise slopes, 成对斜率
; f N1 q1 {& E7 j4 J8 CParabola, 抛物线! R0 t. B" [- `- a4 h% Q9 q. B
Parallel tests, 平行试验( j0 Y" E4 Y0 \0 ~) q
Parameter, 参数1 ~/ T" [, H% b' h. a; G7 F; l
Parametric statistics, 参数统计
- A3 f8 y. i) x6 T" c7 ^0 R6 `Parametric test, 参数检验
3 m+ ~" S) c7 S- LPartial correlation, 偏相关
* n0 @2 u4 C& Z& ~Partial regression, 偏回归1 G# l. W7 P9 C, r9 w! p
Partial sorting, 偏排序
5 b: T/ Q: |5 r% CPartials residuals, 偏残差1 i$ d) ~& C- o8 m
Pattern, 模式
& K! M5 I/ L1 x: _, N5 U- ePearson curves, 皮尔逊曲线& M8 b& U/ t8 G$ w# L
Peeling, 退层6 Y' h) U# w# Y
Percent bar graph, 百分条形图
; g3 e U( v) p+ V7 EPercentage, 百分比% e1 t2 z' a! q) J2 ]
Percentile, 百分位数
( Z' T5 Q4 q! k2 Y1 y" H+ ]Percentile curves, 百分位曲线, I; h7 f# T2 D; I# _
Periodicity, 周期性
+ H9 y! D `4 Z' UPermutation, 排列
! [- x, A/ U3 n$ d! @% W# B6 RP-estimator, P估计量
# |( j3 b6 f) X4 yPie graph, 饼图3 A- n8 }: L* x
Pitman estimator, 皮特曼估计量
# T& A) f7 P* DPivot, 枢轴量- k' S& O. _" P& O0 k' ^
Planar, 平坦9 @- D6 k1 |0 L* f4 Z
Planar assumption, 平面的假设
! F' }7 \- r# G. n# lPLANCARDS, 生成试验的计划卡6 g5 T. f/ A1 l) ~
Point estimation, 点估计
! d Z7 `/ D; YPoisson distribution, 泊松分布
. B+ M' Q! \' s5 _0 BPolishing, 平滑! M- x( R0 A) V b# [) q/ j
Polled standard deviation, 合并标准差3 ~; o4 ~5 [6 b8 \$ ]" n- @
Polled variance, 合并方差* t; j/ q( x B0 I
Polygon, 多边图
[9 p+ C5 Q% M) N: P1 n, {Polynomial, 多项式
; `1 Q) w( I, APolynomial curve, 多项式曲线' ]& Y N' C0 b: @% a
Population, 总体3 V1 N* ?) P) K: X, V
Population attributable risk, 人群归因危险度8 c: \9 t; c& a! c, M/ g( f
Positive correlation, 正相关. x5 _4 k8 I3 c7 [& F
Positively skewed, 正偏$ I0 _. T( B( [2 p$ B" k$ z
Posterior distribution, 后验分布
/ U1 O% @7 }3 f8 h( W: a9 Q0 CPower of a test, 检验效能
$ _ c# T4 J5 Y* _Precision, 精密度
9 g# R1 k" O% kPredicted value, 预测值
0 d F0 |( h* L8 sPreliminary analysis, 预备性分析
7 Q3 r* j% ]; MPrincipal component analysis, 主成分分析
: J* b/ |0 O; u: X$ ]$ VPrior distribution, 先验分布& F. z) O7 P! T+ z6 T- S$ v1 a, v
Prior probability, 先验概率# p ^; a9 }9 g% N% f+ C2 _
Probabilistic model, 概率模型/ S% C, G. }# Y% s' S) T
probability, 概率' ?- ^6 @, D: ? } M5 Z, a: f! V: H
Probability density, 概率密度
- p* m% C8 G* g3 o1 RProduct moment, 乘积矩/协方差+ ?! @4 A+ i* |
Profile trace, 截面迹图
: |, n. y' A b" P" d/ [Proportion, 比/构成比. ]) N1 a( m6 C
Proportion allocation in stratified random sampling, 按比例分层随机抽样/ V' V/ b9 [0 n3 A2 y
Proportionate, 成比例
1 {* n: e$ ?! P* S+ Z, wProportionate sub-class numbers, 成比例次级组含量
& N9 @7 ^* I. Z6 B2 eProspective study, 前瞻性调查; z0 V5 H1 L$ H& W2 @
Proximities, 亲近性
: _3 c- n) v7 o# O# L( CPseudo F test, 近似F检验
4 E% ?5 j4 {' H6 LPseudo model, 近似模型
9 ?1 v5 T( O7 B j6 KPseudosigma, 伪标准差
/ m9 Z# h7 N# u! y! t4 C: {/ LPurposive sampling, 有目的抽样
7 d! t' x, l5 FQR decomposition, QR分解
# A3 T+ ^7 a- `8 b* P6 B# K; J5 vQuadratic approximation, 二次近似) x) R4 @$ M1 S2 L# r1 D4 k- P
Qualitative classification, 属性分类% ?: i5 ?" Q+ A E
Qualitative method, 定性方法
( h5 l# C( M% O3 U# JQuantile-quantile plot, 分位数-分位数图/Q-Q图! `/ |9 I1 s: @' K$ q. m0 x6 U
Quantitative analysis, 定量分析
, b0 @8 ~0 m i7 X# X5 E5 ?Quartile, 四分位数9 \& a; w4 d, A6 ?9 S
Quick Cluster, 快速聚类0 G1 r/ B, z6 |0 ?0 t, `0 `6 [; H+ \
Radix sort, 基数排序
# R5 f% o) {; CRandom allocation, 随机化分组$ z3 r2 u! q; F2 x- i2 ]
Random blocks design, 随机区组设计
* K$ e: w8 ^9 w$ A1 H f VRandom event, 随机事件
& w9 w2 V7 h* E$ D! M" a7 cRandomization, 随机化
% z2 I- l: ?! X2 gRange, 极差/全距
7 Y+ C |$ y- n* m, X5 {5 o/ WRank correlation, 等级相关
3 ?, C+ A* F, j9 Y& Y0 vRank sum test, 秩和检验. L6 D/ g5 A- Q5 y; z" l/ d' [
Rank test, 秩检验- e" ]& {; r. B; p, Q6 d* t" G
Ranked data, 等级资料
6 H6 l9 }% z: m% m& p- ^Rate, 比率
5 D3 O. k6 c* j+ d" p$ ?Ratio, 比例0 B6 o" G/ L" n
Raw data, 原始资料
6 b8 W* `( a2 |0 ?& {. e1 e6 G8 YRaw residual, 原始残差4 H$ {" ~# U% ]8 W( G
Rayleigh's test, 雷氏检验
3 l/ X% e5 S9 m3 M' m1 X0 |Rayleigh's Z, 雷氏Z值 F# ~. E, Z; A$ n0 ~/ j
Reciprocal, 倒数, u2 m+ ]+ H: ?9 k
Reciprocal transformation, 倒数变换 F2 O, \9 g% S2 d! d3 K. O3 M
Recording, 记录
9 T! P$ v, I! N5 Q8 X6 M; @% Q+ [. ~Redescending estimators, 回降估计量
0 _ M. d2 v$ z: JReducing dimensions, 降维5 }9 ~7 O/ A" \: D
Re-expression, 重新表达
" G7 T6 l8 o7 p: H+ ^( u8 [! sReference set, 标准组6 J* y# T# H* r( P4 @) `
Region of acceptance, 接受域; Y4 a; j' z9 }$ u
Regression coefficient, 回归系数
( Q' N9 r4 Y; W/ m# rRegression sum of square, 回归平方和2 Z* ]: Z% G# |- R4 C6 c3 f
Rejection point, 拒绝点1 _+ B: N. J0 e$ q
Relative dispersion, 相对离散度
3 M' q4 v* D' c( g0 URelative number, 相对数 T" i4 D: \ O' Q7 p1 V
Reliability, 可靠性
4 S7 R' r7 m2 aReparametrization, 重新设置参数' F6 b3 D1 D/ i( O7 O7 V% }
Replication, 重复+ u+ n2 f8 t3 l; G- s; R7 K
Report Summaries, 报告摘要- X" c7 q# h' z) e' I0 ]+ s9 T, i( l4 T
Residual sum of square, 剩余平方和
1 @2 O; ?% `5 q; h3 uResistance, 耐抗性
& ?5 D; C4 A( a5 J% K5 M# F9 Q( _Resistant line, 耐抗线
3 L* n4 `1 }5 B3 e" [. n8 B& l; rResistant technique, 耐抗技术
" O+ i- f7 o* W j7 J7 M5 GR-estimator of location, 位置R估计量
9 q3 {' ~/ o$ n5 WR-estimator of scale, 尺度R估计量
5 A; ~+ `1 _( [Retrospective study, 回顾性调查4 c. s; o! p8 f( g/ V7 V2 U
Ridge trace, 岭迹0 F- |: q( z; r( F4 w
Ridit analysis, Ridit分析2 B+ ?& U% L2 Q3 m: n0 U
Rotation, 旋转
# t% O0 V! I* R E; p, tRounding, 舍入
: Q% A" |7 j3 tRow, 行
% c$ W7 e9 S& k3 d# S7 h ]Row effects, 行效应/ T. b$ i0 f7 H; H& H
Row factor, 行因素6 a. C! | ?1 \" ^, D3 T+ _+ q2 m
RXC table, RXC表* I5 {* b3 ~9 \8 [; i
Sample, 样本. k$ Q7 @" E9 y& l) [+ v: Q
Sample regression coefficient, 样本回归系数7 z5 w& |8 F- R
Sample size, 样本量
) p9 X0 @6 ~+ k: k* ^Sample standard deviation, 样本标准差7 k6 t5 w& e2 v
Sampling error, 抽样误差
# Y6 f7 i* L9 u$ DSAS(Statistical analysis system ), SAS统计软件包1 P% i; I$ L1 r2 ^, Q
Scale, 尺度/量表 C; m4 _2 C* R$ Q A9 U0 f
Scatter diagram, 散点图
: u- b8 S# s+ p2 d" _Schematic plot, 示意图/简图, H2 ^6 ` B3 y0 F7 L
Score test, 计分检验 P2 E8 @+ k% Y2 C: z+ ]4 Z& o& d3 {" }- ?
Screening, 筛检
0 l1 E1 U& W, a! S, rSEASON, 季节分析 ?, V$ ?: _. w/ S" `
Second derivative, 二阶导数2 w& ^& i/ A! B
Second principal component, 第二主成分
9 d- @& S. A, d! v# F- ]4 J# r- Y: JSEM (Structural equation modeling), 结构化方程模型
( ^* e% z" N# J& X4 K& f. K1 Q5 LSemi-logarithmic graph, 半对数图
7 O8 ]! M9 j1 V: U8 L4 T- hSemi-logarithmic paper, 半对数格纸 p7 z: Y- {: z9 C+ X, _$ |
Sensitivity curve, 敏感度曲线8 M* {/ `7 j/ i! B
Sequential analysis, 贯序分析* b! O- f2 y) z" f* b
Sequential data set, 顺序数据集3 O* A: Z$ ~$ t$ y8 P
Sequential design, 贯序设计! ~# d; f; y0 E$ ~ I
Sequential method, 贯序法
& v+ [4 _$ E+ B! WSequential test, 贯序检验法
; D9 p3 R5 K& I5 D+ \Serial tests, 系列试验
) U7 ?$ _" Z& X3 _4 H2 S$ B9 zShort-cut method, 简捷法
1 ?+ s6 D) n! I. ~& o2 u1 LSigmoid curve, S形曲线
0 [7 N* g9 [# Q9 B) b$ [6 ISign function, 正负号函数! u" X4 O3 \7 M! E. J7 O& b3 J
Sign test, 符号检验
9 s/ W- w0 v, U- p1 |Signed rank, 符号秩 ^& x9 g" |1 O( f) s' `0 j& ]6 M
Significance test, 显著性检验! T4 U9 ^9 v8 a+ _! z* h. M3 @
Significant figure, 有效数字0 l* I, s; p( P( G4 K
Simple cluster sampling, 简单整群抽样1 v' w [, r5 y
Simple correlation, 简单相关
# r$ o1 o0 g. t7 O$ c9 ~' XSimple random sampling, 简单随机抽样8 \5 y- p$ E; ~8 y. Z; k' e
Simple regression, 简单回归* Z! x+ ^. r x& i! j
simple table, 简单表
# K/ ?* ]# _& r! R. B* K. SSine estimator, 正弦估计量+ B% [1 \1 ~1 t7 |9 c4 d* w; }
Single-valued estimate, 单值估计
: S% S" @9 W* t, [Singular matrix, 奇异矩阵# ~ V; G$ t8 D t* S- k5 o
Skewed distribution, 偏斜分布9 N _! K X0 U6 H7 N m
Skewness, 偏度
3 S& D9 S! i! _2 mSlash distribution, 斜线分布) f: g1 o' B+ [0 ]" E0 G; b
Slope, 斜率' l# L- c* L5 A, E
Smirnov test, 斯米尔诺夫检验1 P3 O3 V3 w- C% ~/ H, }
Source of variation, 变异来源
* r O% J' M& d+ Y: g% X! WSpearman rank correlation, 斯皮尔曼等级相关
( A7 P, k1 y2 k6 [+ HSpecific factor, 特殊因子% B# j6 r" T) L+ K6 u0 M
Specific factor variance, 特殊因子方差
0 g& j3 r6 I& @/ B8 E0 HSpectra , 频谱0 a3 g% v: D/ J8 l' \+ h% d
Spherical distribution, 球型正态分布6 n: D, ]: e" Q$ s8 V
Spread, 展布! \" i* X' |7 U* Y8 u
SPSS(Statistical package for the social science), SPSS统计软件包: @5 T8 ?& j- p6 a4 o7 I1 s
Spurious correlation, 假性相关. n$ F' G) T4 J+ t" T
Square root transformation, 平方根变换8 ?# `2 D/ K/ ?
Stabilizing variance, 稳定方差% b" |* J* l3 F5 T& M1 ~7 i3 X6 X
Standard deviation, 标准差& q7 U% h! k2 j i
Standard error, 标准误
5 S& ~% N- I1 ^& A7 n' `1 VStandard error of difference, 差别的标准误
3 h- \3 Y/ f9 \, n+ |Standard error of estimate, 标准估计误差
$ s+ s5 P% u5 L% u" xStandard error of rate, 率的标准误# t4 O& \" S* J
Standard normal distribution, 标准正态分布5 n( l r$ S2 K8 n8 ]8 b
Standardization, 标准化: Z1 ]8 _' D" d+ [
Starting value, 起始值
# e) H+ @ T1 H) y$ r" p: ^Statistic, 统计量
3 O6 p$ W9 B7 z5 ~( V9 k6 SStatistical control, 统计控制: L9 e# v8 q8 t5 ~) c2 H, F5 ~
Statistical graph, 统计图" `& v0 K8 y( T! L6 H- h
Statistical inference, 统计推断
4 V8 G; f R u. j& y+ iStatistical table, 统计表
6 j- m/ ^- L/ XSteepest descent, 最速下降法1 }' D6 Q/ w( \, @1 H, K
Stem and leaf display, 茎叶图) k- A) S* \4 w/ b/ J7 k7 i) c; y6 g- [
Step factor, 步长因子
2 I$ B4 s8 u& CStepwise regression, 逐步回归, k3 d, x6 U0 j2 I+ K
Storage, 存+ ]) t( w0 }" G0 t$ Q! |! k: J
Strata, 层(复数)2 b6 ~3 y" T8 R9 k* M! b$ r. a
Stratified sampling, 分层抽样/ y0 W1 h; j9 y* t2 ~" B
Stratified sampling, 分层抽样8 K& _, t8 t+ A+ p: S
Strength, 强度
# r3 S. X- G% Y! x$ N* U' }4 wStringency, 严密性
: _. v1 `" ^- X0 m5 Z4 [Structural relationship, 结构关系: g0 E6 o0 @3 I+ F/ e% `8 {+ }
Studentized residual, 学生化残差/t化残差9 F4 @. i! F ^+ x \* {
Sub-class numbers, 次级组含量, r* p- Q- U; E: B0 S' i9 N
Subdividing, 分割3 s6 l+ q3 E& e X- j
Sufficient statistic, 充分统计量
4 h# e- V# q, g" cSum of products, 积和0 m1 M7 F! w/ I+ Y! S7 j6 M4 ^
Sum of squares, 离差平方和" H" x6 W' V; ]) K" H! q* _7 C
Sum of squares about regression, 回归平方和5 V# c0 m: p- X2 l2 x6 J) }& Y4 v
Sum of squares between groups, 组间平方和' }/ `% k; [0 W! ^, s
Sum of squares of partial regression, 偏回归平方和
2 G, a7 z3 l M( }. Z, QSure event, 必然事件
$ m7 i: s$ Z7 F. a1 rSurvey, 调查, N0 S# K, A! ]2 G/ y- j. C6 Y, `: o
Survival, 生存分析
. r+ o& {: d9 K$ k6 o bSurvival rate, 生存率9 T6 N/ m" z+ D/ E) J
Suspended root gram, 悬吊根图
8 `: q* x! T' ^; BSymmetry, 对称! K9 T# |% K/ s( W7 P
Systematic error, 系统误差
5 `% @$ u! G2 Q6 x U$ y. T: A9 CSystematic sampling, 系统抽样
& Y5 C5 G" D. U% \6 bTags, 标签7 f U( G& s1 i0 X- Y) [1 O
Tail area, 尾部面积: q. q# N; P. Z. b8 ?# I; R
Tail length, 尾长' Z" q$ f, h- l1 A
Tail weight, 尾重/ l, i) T3 x( l5 x! d# K! H- r4 V
Tangent line, 切线
- r% N8 l2 W" t* ?! z, `* D. |7 ]) PTarget distribution, 目标分布
, a' G8 [0 z, d" F7 H9 V& XTaylor series, 泰勒级数0 V8 M# S; s. u! y x1 ~3 W: n
Tendency of dispersion, 离散趋势% x; Z+ k* G( \) |6 }, H
Testing of hypotheses, 假设检验+ F, e8 @! H7 {9 n
Theoretical frequency, 理论频数* {7 l7 h; c/ ~0 e
Time series, 时间序列* N# J ?+ {' I7 M" ^
Tolerance interval, 容忍区间
- u# p& R1 _' c/ _Tolerance lower limit, 容忍下限
& _ `/ S! ?/ ?+ e" @8 OTolerance upper limit, 容忍上限/ N7 b; h" j# {1 r1 T
Torsion, 扰率
8 D- i+ [1 F& T3 B2 Q ?9 xTotal sum of square, 总平方和
: `. r7 \ W f9 Z* [5 xTotal variation, 总变异
1 h5 w7 W0 b) I; yTransformation, 转换
# R1 n8 n; m, ATreatment, 处理1 ~8 i4 B+ T1 o5 h
Trend, 趋势
+ D) @5 F: a rTrend of percentage, 百分比趋势" f% q% F! E7 q: D& S
Trial, 试验
" j7 x }2 o0 Q4 @. \8 }$ \* W9 HTrial and error method, 试错法
* @4 e% {4 g6 @0 E* HTuning constant, 细调常数3 ?; [9 w; y& S" g: O; N# h. U
Two sided test, 双向检验* m- H9 ?! \9 }# b; R
Two-stage least squares, 二阶最小平方
" A( Q! c# Q& C3 w2 a, s2 i* d3 M; DTwo-stage sampling, 二阶段抽样 Z& t. ]7 c$ h' I7 _( ^
Two-tailed test, 双侧检验
$ C1 S4 ~4 u/ V8 Z2 ~Two-way analysis of variance, 双因素方差分析( K. N. z' Q! d( s
Two-way table, 双向表: ~6 i" e) }$ @4 A3 l# S9 q; ]
Type I error, 一类错误/α错误 g5 n8 h, v. X* V0 N0 ?/ `' f( J+ g
Type II error, 二类错误/β错误
, g6 q( n5 Y, {( RUMVU, 方差一致最小无偏估计简称
; K7 S0 }/ V7 W7 {# E3 JUnbiased estimate, 无偏估计
# W; X0 R0 z$ cUnconstrained nonlinear regression , 无约束非线性回归
4 y8 T0 k" H: @, nUnequal subclass number, 不等次级组含量% t E; j& w1 {7 v
Ungrouped data, 不分组资料6 m. [! Q, B- U5 f/ |' Q( t* L
Uniform coordinate, 均匀坐标1 I/ [" J% O2 N i7 f- h: u! ^- Q
Uniform distribution, 均匀分布
7 r7 d2 x! V' m7 v& ]7 b; b( YUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
! \* B q4 u# R% E* O2 X' nUnit, 单元7 U. W, K! g+ |; z% y
Unordered categories, 无序分类7 X. R8 g8 C5 F3 F; P( T
Upper limit, 上限# V8 O x4 a+ F* b' ~* A
Upward rank, 升秩
- h. k" u# n: \* e9 J' @Vague concept, 模糊概念
6 q6 G2 j( R0 Y L6 y' wValidity, 有效性
5 X0 ^, g/ `* _. C* l; iVARCOMP (Variance component estimation), 方差元素估计+ Y0 d# t. D* f* K
Variability, 变异性6 y8 s" Q$ Q, T! L6 d& _
Variable, 变量& c7 V0 T7 E) ?( P/ R# U5 J
Variance, 方差7 \! ~9 C. a* Y* A7 ]4 U
Variation, 变异1 V: c6 v5 L; R R+ b1 z4 F
Varimax orthogonal rotation, 方差最大正交旋转
% K% |3 f& j. SVolume of distribution, 容积8 j& N, x) {7 P: G# m
W test, W检验
& g: \& Y+ L+ F2 s) U1 q7 ?Weibull distribution, 威布尔分布$ E6 J! V h9 @" I0 L8 ^, T
Weight, 权数% d1 p( G7 X y
Weighted Chi-square test, 加权卡方检验/Cochran检验
0 M. b! P n' l P! \* @7 kWeighted linear regression method, 加权直线回归
, I i* b' T( `+ GWeighted mean, 加权平均数
6 e& h5 f# \4 g/ ^6 K& ?9 p1 fWeighted mean square, 加权平均方差- c/ E4 h t. _ z3 ^
Weighted sum of square, 加权平方和9 n3 h4 j4 W$ F
Weighting coefficient, 权重系数/ |$ R& U$ R7 \2 X4 f/ E
Weighting method, 加权法
/ G& F: o" @, Z6 y# E p+ YW-estimation, W估计量
& L% O" @/ z7 J/ Z: L+ hW-estimation of location, 位置W估计量
0 i' X% ^# S3 [: m$ v) Z2 ZWidth, 宽度
0 U; |$ a7 S+ t! q; b+ ?5 uWilcoxon paired test, 威斯康星配对法/配对符号秩和检验) f) b2 I- ~- G" k0 W! v! Q n
Wild point, 野点/狂点5 H) s4 N# K" h
Wild value, 野值/狂值, A' r! k$ J; l5 I8 S+ F; T
Winsorized mean, 缩尾均值% x! _( ]; x1 X- ^
Withdraw, 失访 % _4 ]7 q8 z) V/ V9 V3 y
Youden's index, 尤登指数$ r& _) [0 J+ J' {+ j) }
Z test, Z检验; l. `! A. T) n' p' \3 V
Zero correlation, 零相关* J* i5 Y5 `; i5 `" p: S- d2 r
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看,没有账号?注册会员
x
|