品质英语之三
<P>M-R</P><P>Main effect, 主效应<BR>Major heading, 主辞标目<BR>Marginal density function, 边缘密度函数<BR>Marginal probability, 边缘概率<BR>Marginal probability distribution, 边缘概率分布<BR>Matched data, 配对资料<BR>Matched distribution, 匹配过分布<BR>Matching of distribution, 分布的匹配<BR>Matching of transformation, 变换的匹配<BR>Mathematical expectation, 数学期望<BR>Mathematical model, 数学模型<BR>Maximum L-estimator, 极大极小L 估计量<BR>Maximum likelihood method, 最大似然法<BR>Mean, 均数<BR>Mean squares between groups, 组间均方<BR>Mean squares within group, 组内均方<BR>Means (Compare means), 均值-均值比较<BR>Median, 中位数<BR>Median effective dose, 半数效量<BR>Median lethal dose, 半数致死量<BR>Median polish, 中位数平滑<BR>Median test, 中位数检验<BR>Minimal sufficient statistic, 最小充分统计量<BR>Minimum distance estimation, 最小距离估计<BR>Minimum effective dose, 最小有效量<BR>Minimum lethal dose, 最小致死量<BR>Minimum variance estimator, 最小方差估计量<BR>MINITAB, 统计软件包<BR>Minor heading, 宾词标目<BR>Missing data, 缺失值 <BR>Model specification, 模型的确定<BR>Modeling Statistics , 模型统计<BR>Models for outliers, 离群值模型<BR>Modifying the model, 模型的修正<BR>Modulus of continuity, 连续性模<BR>Morbidity, 发病率 <BR>Most favorable configuration, 最有利构形<BR>Multidimensional Scaling (ASCAL), 多维尺度/多维标度<BR>Multinomial Logistic Regression , 多项逻辑斯蒂回归<BR>Multiple comparISOn, 多重比较<BR>Multiple correlation , 复相关<BR>Multiple covariance, 多元协方差<BR>Multiple linear regression, 多元线性回归<BR>Multiple response , 多重选项<BR>Multiple solutions, 多解<BR>Multiplication theorem, 乘法定理<BR>Multiresponse, 多元响应<BR>Multi-stage sampling, 多阶段抽样<BR>Multivariate T distribution, 多元T分布<BR>Mutual exclusive, 互不相容<BR>Mutual independence, 互相独立<BR>Natural boundary, 自然边界<BR>Natural dead, 自然死亡<BR>Natural zero, 自然零<BR>Negative correlation, 负相关<BR>Negative linear correlation, 负线性相关<BR>Negatively skewed, 负偏<BR>Newman-Keuls method, q检验<BR>NK method, q检验<BR>No statistical significance, 无统计意义<BR>Nominal variable, 名义变量<BR>Nonconstancy of variability, 变异的非定常性<BR>Nonlinear regression, 非线性相关<BR>Nonparametric statistics, 非参数统计<BR>Nonparametric test, 非参数检验<BR>Nonparametric tests, 非参数检验<BR>Normal deviate, 正态离差<BR>Normal distribution, 正态分布<BR>Normal equation, 正规方程组<BR>Normal ranges, 正常范围<BR>Normal value, 正常值<BR>Nuisance parameter, 多余参数/讨厌参数<BR>Null hypothesis, 无效假设 <BR>Numerical variable, 数值变量<BR>Objective function, 目标函数<BR>Observation unit, 观察单位<BR>Observed value, 观察值<BR>One sided test, 单侧检验<BR>One-way analysis of variance, 单因素方差分析<BR>Oneway ANOVA , 单因素方差分析<BR>Open sequential trial, 开放型序贯设计<BR>Optrim, 优切尾<BR>Optrim efficiency, 优切尾效率<BR>Order statistics, 顺序统计量<BR>Ordered categories, 有序分类<BR>Ordinal logistic regression , 序数逻辑斯蒂回归<BR>Ordinal variable, 有序变量<BR>Orthogonal basis, 正交基<BR>Orthogonal design, 正交试验设计<BR>Orthogonality conditions, 正交条件<BR>ORTHOPLAN, 正交设计 <BR>Outlier cutoffs, 离群值截断点<BR>Outliers, 极端值<BR>OVERALS , 多组变量的非线性正规相关 <BR>Overshoot, 迭代过度<BR>Paired design, 配对设计<BR>Paired sample, 配对样本<BR>Pairwise slopes, 成对斜率<BR>Parabola, 抛物线<BR>Parallel tests, 平行试验<BR>Parameter, 参数<BR>Parametric statistics, 参数统计<BR>Parametric test, 参数检验<BR>Partial correlation, 偏相关<BR>Partial regression, 偏回归<BR>Partial sorting, 偏排序<BR>Partials residuals, 偏残差<BR>Pattern, 模式<BR>Pearson curves, 皮尔逊曲线<BR>Peeling, 退层<BR>Percent bar graph, 百分条形图<BR>Percentage, 百分比<BR>Percentile, 百分位数<BR>Percentile curves, 百分位曲线<BR>Periodicity, 周期性<BR>Permutation, 排列<BR>P-estimator, P估计量<BR>Pie graph, 饼图<BR>Pitman estimator, 皮特曼估计量<BR>Pivot, 枢轴量<BR>Planar, 平坦<BR>Planar assumption, 平面的假设<BR>PLANCARDS, 生成试验的计划卡<BR>Point estimation, 点估计<BR>Poisson distribution, 泊松分布<BR>Polishing, 平滑<BR>Polled standard deviation, 合并标准差<BR>Polled variance, 合并方差<BR>Polygon, 多边图<BR>Polynomial, 多项式<BR>Polynomial curve, 多项式曲线<BR>Population, 总体<BR>Population attributable risk, 人群归因危险度<BR>Positive correlation, 正相关<BR>Positively skewed, 正偏<BR>Posterior distribution, 后验分布<BR>Power of a test, 检验效能<BR>Precision, 精密度<BR>Predicted value, 预测值<BR>Preliminary analysis, 预备性分析<BR>Principal component analysis, 主成分分析<BR>Prior distribution, 先验分布<BR>Prior probability, 先验概率<BR>Probabilistic model, 概率模型<BR>probability, 概率<BR>Probability density, 概率密度<BR>Product moment, 乘积矩/协方差<BR>Profile trace, 截面迹图<BR>Proportion, 比/构成比<BR>Proportion allocation in stratified random sampling, 按比例分层随机抽样<BR>Proportionate, 成比例<BR>Proportionate sub-class numbers, 成比例次级组含量<BR>Prospective study, 前瞻性调查<BR>Proximities, 亲近性 <BR>Pseudo F test, 近似F检验<BR>Pseudo model, 近似模型<BR>Pseudosigma, 伪标准差<BR>Purposive sampling, 有目的抽样<BR>QR decomposition, QR分解<BR>Quadratic approximation, 二次近似<BR>Qualitative classification, 属性分类<BR>Qualitative method, 定性方法<BR>Quantile-quantile plot, 分位数-分位数图/Q-Q图<BR>Quantitative analysis, 定量分析<BR>Quartile, 四分位数<BR>Quick Cluster, 快速聚类<BR>Radix sort, 基数排序<BR>Random allocation, 随机化分组<BR>Random blocks design, 随机区组设计<BR>Random event, 随机事件<BR>Randomization, 随机化<BR>Range, 极差/全距<BR>Rank correlation, 等级相关<BR>Rank sum test, 秩和检验<BR>Rank test, 秩检验<BR>Ranked data, 等级资料<BR>Rate, 比率<BR>Ratio, 比例<BR>Raw data, 原始资料<BR>Raw residual, 原始残差<BR>Rayleigh's test, 雷氏检验<BR>Rayleigh's Z, 雷氏Z值 <BR>Reciprocal, 倒数<BR>Reciprocal transformation, 倒数变换<BR>Recording, 记录<BR>Redescending estimators, 回降估计量<BR>Reducing dimensions, 降维<BR>Re-expression, 重新表达<BR>Reference set, 标准组<BR>Region of acceptance, 接受域<BR>Regression coefficient, 回归系数<BR>Regression sum of square, 回归平方和 <BR>Rejection point, 拒绝点<BR>Relative dispersion, 相对离散度<BR>Relative number, 相对数<BR>Reliability, 可靠性<BR>Reparametrization, 重新设置参数<BR>Replication, 重复<BR>Report Summaries, 报告摘要<BR>Residual sum of square, 剩余平方和<BR>Resistance, 耐抗性<BR>Resistant line, 耐抗线<BR>Resistant technique, 耐抗技术<BR>R-estimator of location, 位置R估计量<BR>R-estimator of scale, 尺度R估计量<BR>Retrospective study, 回顾性调查<BR>Ridge trace, 岭迹<BR>Ridit analysis, Ridit分析<BR>Rotation, 旋转<BR>Rounding, 舍入<BR>Row, 行<BR>Row effects, 行效应<BR>Row factor, 行因素<BR>RXC table, RXC表<BR></P></div>
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