1. Weekly beer sales: This example deals with price/demand relationships and illustrates the use of a nonlinear data transformation--the natural log--which is an important mathematical wrench in the toolkit of linear regression. Its analysis is described in detail on the Features pages, in the ...
Regression AnalysisPsychological TestsChildPsychometricsDespite the development of procedures for calculating sample size as a function of relevant effect size parameters, rules of thumb tend to persist in d...
Regression analysis of correlated binary data: some small sample results for the estimating equation approach. J Stat Comput Simul. 1992;42(1):1-20.Regression analysis of correlated binary data: some small sample results for the estimating equation approach - Sharples, Breslow - 1992...
Tags Analysis Regression Regression analysis Sample size Jul 9, 2012 #1 bradyj7 117 0 Hi there, Could anybody offer any advice on a linear regression sample size problem? I am using regression to predict the energy consumption (watt/mile) of an electric car based on a number of parame...
Although there are small discrepancies between the regression factor scores and the Bartlett factor scores, overall they appear to agree well for this data set. Table III. Regression and Bartlett Factor Scores Calculated from the Result of a Maximum-Likelihood Factor Analysis after Promax Rotation ...
sample survey datapseudo maximum likelihood estimatorpseudo minimum phi-divergence estimatorsWald-type testsIn this paper a family of Wald-type test statistics for linear hypotheses in the logistic regression model with complex sample survey data is introduced and its properties are explored. The family...
Results: Applying ordinary logistic regression, an appropriate model we fitted to the initial data. Then confidence intervals and standard errors were computed for all regression coefficients. There are many situations where the sample size is insufficient and conditions for using ordinary logistic ...
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See moreBayesian analysis features Sample selection arises when the sampled data are not representative of the population of interest. A classic example of sample selection is women's work participation. Suppose that we want to model the wages of women. If we consider only the sample of women ...
Mixed sample data augmentation是一种在机器学习中常用的技术,它通过结合不同样本的特征来创建新的训练样本,从而提高模型的泛化能力和鲁棒性。以下是关于mixed sample data augmentation的相关信息: 基础概念 定义:Mixed sample data augmentation是一种数据增强技术,通过将两个或多个数据样本进行组合,生成新的训...