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Logistic regression model properties

Moore and Caux (1997), in the same paper examining the relationships between hypothesis testing and effects levels, also characterized some important properties of the regression approach. One of the critical questions is which model to use and how much of a difference it makes. Logistic, probit, Weibull, and three parameter logistic models incorporating a slope parameter were compared in these data sets. The differences in using these models for extrapolation depend upon the structure of the data set. [Pg.57]


See other pages where Logistic regression model properties is mentioned: [Pg.176]    [Pg.304]    [Pg.333]    [Pg.465]    [Pg.704]    [Pg.176]    [Pg.328]    [Pg.145]    [Pg.135]    [Pg.64]    [Pg.68]    [Pg.277]    [Pg.169]    [Pg.42]   
See also in sourсe #XX -- [ Pg.175 ]




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