A Generalized Linear Transformation and Its Effects on Logistic Regression

Logistic Mixtures of Generalized Linear

Title of Dissertation LOGISTIC MIXTURES OF GENERALIZED LINEAR MODEL TIMES SERIES Neal Overton Je ries Doctor of Philosophy Dissertation directed by Professor Benjamin Kedem Mathematics Department Statistics Program In this dissertation we propose a class of time series models for mixture data We call these logistic mixtures In such models the mixture s component densi ties have a generalized li...

on the effect of linear & non-linear texts on students comprehension and recalling

چکیده ندارد.

Log - Linear Modeling and Logistic Regression

FUZZY LOGISTIC REGRESSION: A NEW POSSIBILISTIC MODEL AND ITS APPLICATION IN CLINICAL VAGUE STATUS

Logistic regression models are frequently used in clinicalresearch and particularly for modeling disease status and patientsurvival. In practice, clinical studies have several limitationsFor instance, in the study of rare diseases or due ethical considerations, we can only have small sample sizes. In addition, the lack of suitable andadvanced measuring instruments lead to non-precise observatio...

A mixed-effects multinomial logistic regression model.

A mixed-effects multinomial logistic regression model is described for analysis of clustered or longitudinal nominal or ordinal response data. The model is parameterized to allow flexibility in the choice of contrasts used to represent comparisons across the response categories. Estimation is achieved using a maximum marginal likelihood (MML) solution that uses quadrature to numerically integra...