品质英语m-r
2005-06-29 来源:食品论坛奶酪提供
M-R©食品论坛 -- 关注食品安全,探讨食品技术 ^-©食品论坛 -- 关注食品安全,探讨食品技术 TjMain effect, 主效应!Major heading, 主辞标目"+Y}PfMarginal density function, 边缘密度函数W!wXMarginal probability, 边缘概率q|6\9=Marginal probability distribution, 边缘概率分布U/QQ$Matched data, 配对资料y>Matched distribution, 匹配过分布-3Matching of distribution, 分布的匹配$Matching of transformation, 变换的匹配cuMathematical expectation, 数学期望V`t;rhMathematical model, 数学模型d;a*Maximum L-estimator, 极大极小L 估计量^+\J*Maximum likelihood method, 最大似然法HMean, 均数9Mean squares between groups, 组间均方E'"38rMean squares within group, 组内均方Nq(Means (Compare means), 均值-均值比较D3?Median, 中位数D&rdMXMedian effective dose, 半数效量( fuMedian lethal dose, 半数致死量J.OMedian polish, 中位数平滑+"Median test, 中位数检验'CncMinimal sufficient statistic, 最小充分统计量8Minimum distance estimation, 最小距离估计I/Minimum effective dose, 最小有效量aGMinimum lethal dose, 最小致死量g>Minimum variance estimator, 最小方差估计量a|~GMINITAB, 统计软件包@(sBrCMinor heading, 宾词标目$H=WMissing data, 缺失值 b)qC|Model specification, 模型的确定(E,RModeling Statistics , 模型统计C~Models for outliers, 离群值模型NPModifying the model, 模型的修正_VTModulus of continuity, 连续性模;h00Morbidity, 发病率 ?Q*sU0Most favorable configuration, 最有利构形JO)hcMultidimensional Scaling (ASCAL), 多维尺度/多维标度br|,Multinomial Logistic Regression , 多项逻辑斯蒂回归D1^9{Multiple comparison, 多重比较. `P?eMultiple correlation , 复相关:j~Qu6Multiple covariance, 多元协方差 8cMultiple linear regression, 多元线性回归uyMultiple response , 多重选项Dd<fGDMultiple solutions, 多解TMultiplication theorem, 乘法定理"?1@5JMultiresponse, 多元响应f'Nm&Multi-stage sampling, 多阶段抽样&gMultivariate T distribution, 多元T分布4zMutual exclusive, 互不相容&m=Mutual independence, 互相独立Qal?Natural boundary, 自然边界VR"yNatural dead, 自然死亡/Z~@<]Natural zero, 自然零\<5YiNegative correlation, 负相关a*#|Negative linear correlation, 负线性相关-):/ Negatively skewed, 负偏m/aNewman-Keuls method, q检验BAy`xNK method, q检验\0No statistical significance, 无统计意义}l SbNominal variable, 名义变量*< JeNonconstancy of variability, 变异的非定常性7;Os Nonlinear regression, 非线性相关-bDNonparametric statistics, 非参数统计a/3(Nonparametric test, 非参数检验- 8$?Nonparametric tests, 非参数检验.<Normal deviate, 正态离差rNormal distribution, 正态分布2G)@4{Normal equation, 正规方程组\v^`BNormal ranges, 正常范围q%?X}^Normal value, 正常值L>CNuisance parameter, 多余参数/讨厌参数INull hypothesis, 无效假设 "U>uNumerical variable, 数值变量c/Objective function, 目标函数f`$}mObservation unit, 观察单位Db2sObserved value, 观察值c/One sided test, 单侧检验\GOne-way analysis of variance, 单因素方差分析Z`Oneway ANOVA , 单因素方差分析~Open sequential trial, 开放型序贯设计}}g\MOptrim, 优切尾58=f,-Optrim efficiency, 优切尾效率K"jOrder statistics, 顺序统计量XOrdered categories, 有序分类#GdUx2Ordinal logistic regression , 序数逻辑斯蒂回归iAzpOrdinal variable, 有序变量zNCOrthogonal basis, 正交基gt}0j)Orthogonal design, 正交试验设计q0Orthogonality conditions, 正交条件|k5ORTHOPLAN, 正交设计 PpXFOutlier cutoffs, 离群值截断点$@kOutliers, 极端值ZOVERALS , 多组变量的非线性正规相关 OGkrs/Overshoot, 迭代过度':7<lPaired design, 配对设计SPaired sample, 配对样本!32I,-Pairwise slopes, 成对斜率"Parabola, 抛物线fParallel tests, 平行试验<\Parameter, 参数2Parametric statistics, 参数统计N1DParametric test, 参数检验p9<JPartial correlation, 偏相关&bh0Partial regression, 偏回归fhPartial sorting, 偏排序9h4$WPartials residuals, 偏残差0y`ePattern, 模式;'THxRPearson curves, 皮尔逊曲线&VvPeeling, 退层{zPercent bar graph, 百分条形图FXPercentage, 百分比190!CEPercentile, 百分位数gdPercentile curves, 百分位曲线=1)VEPeriodicity, 周期性XPermutation, 排列!zcP-estimator, P估计量2|Pie graph, 饼图~QPitman estimator, 皮特曼估计量dLh\3Pivot, 枢轴量CPlanar, 平坦"l^@Planar assumption, 平面的假设^thSPLANCARDS, 生成试验的计划卡-yrPoint estimation, 点估计0!T\Poisson distribution, 泊松分布;Polishing, 平滑)j3`"Polled standard deviation, 合并标准差kPolled variance, 合并方差q ]Polygon, 多边图j@1Polynomial, 多项式?iPolynomial curve, 多项式曲线3]MPopulation, 总体1@Population attributable risk, 人群归因危险度DVPositive correlation, 正相关L!APositively skewed, 正偏kJ44Posterior distribution, 后验分布GGRPower of a test, 检验效能MPrecision, 精密度)1Predicted value, 预测值&"5F{3Preliminary analysis, 预备性分析`$RuPrincipal component analysis, 主成分分析tPrior distribution, 先验分布@yPrior probability, 先验概率,#> 7Probabilistic model, 概率模型eSgprobability, 概率yProbability density, 概率密度XProduct moment, 乘积矩/协方差OOWv0>Profile trace, 截面迹图_}%QAProportion, 比/构成比>}D-'iProportion allocation in stratified random sampling, 按比例分层随机抽样IF@Proportionate, 成比例8W_Proportionate sub-class numbers, 成比例次级组含量h2+B*Prospective study, 前瞻性调查GuProximities, 亲近性 IuaB"Pseudo F test, 近似F检验,SPseudo model, 近似模型[5Pseudosigma, 伪标准差N4'6EhPurposive sampling, 有目的抽样jDQR decomposition, QR分解VH,U{7Quadratic approximation, 二次近似J`h.TYQualitative classification, 属性分类q!Qualitative method, 定性方法9!Quantile-quantile plot, 分位数-分位数图/Q-Q图EQuantitative analysis, 定量分析AQuartile, 四分位数ov]jQuick Cluster, 快速聚类E|Radix sort, 基数排序}2Jo8Random allocation, 随机化分组L*,|zRandom blocks design, 随机区组设计8B`Random event, 随机事件v:/*@<Randomization, 随机化efRange, 极差/全距KdNRank correlation, 等级相关Qk,Rank sum test, 秩和检验5Rank test, 秩检验]M*GTaRanked data, 等级资料KFbeG$Rate, 比率2pHvRatio, 比例k;WlRaw data, 原始资料AVAFM$Raw residual, 原始残差fHRayleigh's test, 雷氏检验"q]'~GRayleigh's Z, 雷氏Z值 SGQhcReciprocal, 倒数5uReciprocal transformation, 倒数变换TWDRecording, 记录=kvc|?Redescending estimators, 回降估计量UpBmhZReducing dimensions, 降维P%N4Re-expression, 重新表达K<j_AReference set, 标准组:xGtG?Region of acceptance, 接受域8d/$Regression coefficient, 回归系数uRegression sum of square, 回归平方和 '1lxhRejection point, 拒绝点w^ARelative dispersion, 相对离散度ls:+Relative number, 相对数edReliability, 可靠性&W)k,Reparametrization, 重新设置参数"U-$'8Replication, 重复Viy.l.Report Summaries, 报告摘要5 Residual sum of square, 剩余平方和y,ZResistance, 耐抗性eResistant line, 耐抗线Auc`oResistant technique, 耐抗技术U+%qpR-estimator of location, 位置R估计量EU`vR-estimator of scale, 尺度R估计量WPOARetrospective study, 回顾性调查h%tRidge trace, 岭迹)11JRidit analysis, Ridit分析+?Rotation, 旋转T7Vx\Rounding, 舍入MoRow, 行JwRow effects, 行效应D]:8Row factor, 行因素 G20X"RXC table, RXC表'~js^6