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Nonparametric tests of population differences and estimation of the probability of misidentification with unidentified paired data
总体身份不明的配对数据：总体差异检验与误识别概率估计
A modified Mann-Whitney statistic is used to construct a permutation test for comparing samples of paired data from two populations when the population identities of each pair are uncertain. An estimator of the probability of population misidentification within a pair is also proposed. This is based on the Lehmann family of distributions. Simulation results show the new methods are generally as or more effective than existing normal theory methods unless there is strong…
The Choice of Variables in the Design of Experiments for Linear Regression
线性回归实验设计中的变量选择
In this paper, a procedure is developed which can be used to decide if a doubtful variable should be included in an experiment to fit a linear model to a set of yields. The criterion of success of the experiment is based on the mean square error of the fitted linear model, averaged over a specified region of the independent variables. A study is made of the gains to be expected when a variable is correctly excluded.
The choice of variables in the design of experiments for linear regression
线性回归实验设计中的变量选择
In this paper, a procedure is developed which can be used to decide if a doubtful variable should be included in an experiment to fit a linear model to a set of yields. The criterion of success of the experiment is based on the mean square error of the fitted linear model, averaged over a specified region of the independent variables. A study is made of the gains to be expected when a variable is correctly excluded.