Survival Data Statistical Analysis - Modern Mathematics Foundation Series 98

Author: None
Publisher:
Publish Date: 2006-01-01
Features: This book systematically introduces survival distribution function estimation, probability density estimation, failure rate estimation, a class of mean functional estimation including mean life as a special case, and their statistical properties. It also covers related statistical methods (such as bootstrap resampling methods, estimating equation methods, point process martingale methods, empirical likelihood methods, etc.) and relevant application results. The book introduces two-sample tests and statistical inference methods for handling differences, as well as random censoring regression analysis and proportional hazards regression statistical inference methods, including theory and applications. This book is suitable as a textbook for senior undergraduate and graduate students in mathematics and statistics at universities, as well as for university teachers, researchers, and applied professionals as a reference.