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Articles 31 - 33 of 33
Full-Text Articles in Applied Statistics
A Generalized Quasi-Likelihood Model Application To Modeling Poverty Of Asian American Women, Jeffrey R. Wilson
A Generalized Quasi-Likelihood Model Application To Modeling Poverty Of Asian American Women, Jeffrey R. Wilson
Journal of Modern Applied Statistical Methods
A generalized quasi-likelihood function that does not require the assumption of an underlying distribution when modeling jointly the mean and the variance, is introduced to examine poverty of Asian American women living in the West coast of the United States, using data from U.S. Census Bureau.
The Consequences Of Race-Blindness: Revisiting Prediction Models With Current Law School Data, Linda F. Wightman
The Consequences Of Race-Blindness: Revisiting Prediction Models With Current Law School Data, Linda F. Wightman
Journal of Legal Education
No abstract provided.
Modeling Strategies In Logistic Regression With Sas, Spss, Systat, Bmdp, Minitab, And Stata, Chao-Ying Joanne Peng, Tak-Shing Harry So
Modeling Strategies In Logistic Regression With Sas, Spss, Systat, Bmdp, Minitab, And Stata, Chao-Ying Joanne Peng, Tak-Shing Harry So
Journal of Modern Applied Statistical Methods
This paper addresses modeling strategies in logistic regression within the context of a real-world data set. Six commercially available statistical packages were evaluated in how they addressed modeling issues and in the accuracy of their regression results. Recommendations are offered for data analysts in terms of each package's strengths and weaknesses.