книги Наука, техника, медицина Естественные науки Точные науки Математика Научные издания Теория вероятностей

GOODNESS-OF-FIT Tests for Logistic Regression Models. Evaluating Logistic Model Fit When Continuous Covariates Are Present

Код 905449

Нет в продаже

Аннотация к книге "GOODNESS-OF-FIT Tests for Logistic Regression Models. Evaluating Logistic Model Fit When Continuous Covariates Are Present"

When continuous predictors are present, classical Pearson and deviance goodness-of-fit tests to assess logistic model fit break down. We propose a new method for goodness-of-fit testing which uses a very general partitioning strategy (clustering) in the covariate space and is based on either a Pearson statistic or a score statistic. Properties of the proposed statistics are discussed. Simulation studies on many commonly encountered model scenarios are presented to compare the proposed tests to...

Оставить комментарий

Оцените книгу:

Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6390-7432-1
Объём: 172 страниц
Масса: 282 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

Вместе с этой книгой покупают

Просмотренные товары