The statistical analysis of doubly truncated data : with applications in R

상세정보

자료유형	단행본
서명/저자사항	The statistical analysis of doubly truncated data: with applications in R / Jacobo de Uña-Álvarez, Carla Moreira, Rosa M. Crujeiras.
개인저자	Uña-Álvarez, Jacobo de, 1972- author Moreira, Carla, 1972- author Crujeiras, Rosa M. (Rosa María), 1978- author
발행사항	Hoboken, NJ: Wiley, 2022
형태사항	xvi, 175 pages ; 24 cm
총서사항	Wiley series in probability and statistics
ISBN	9781119951377
서지주기	Includes bibliographical references and index.
요약	"This book is the result of a long-standing collaboration among the three authors, which began when Carla Moreira was a PhD student under the supervision of Jacobo de Unã-Álvarez. Carla successfully defended her thesis, entitled 'The Statistical Analysis of Doubly Truncated Data: New Methods, Software Development, and Biomedical Applications', at the Universidade de Vigo in July 2010. At that time, just a reduced group of people seemed to be aware of the importance of random double truncation. Research papers on this topic were scarce before 2010, with the contribution by Bradley Efron and Vahe Petrosian in 1999 as the most relevant one. And, of course, no software was available. So, for us, it was a risky and exciting research exercise to embrace such an initiative. This book aims to serve as a companion for those ones interested in learning about doubly truncated data analysis and inference, presenting a wide range of tools for estimating distribution and regression models. All the methods presented in this book are accompanied by real data and simulated examples and, at the end of each chapter, the reader will find the do-it-yourself code, mostly based on DTDA package. This book is not written with the aim of being just read: its main purpose is to invite the reader to think, explore and experience"--
해제	Provided by publisher.
일반주제명	Biometry --methods Statistics as Topic Data Interpretation, Statistical Programming Languages Models, Statistical
분류기호(NLMC)	QH 323.5
분류기호(DDC)	570.15195
언어	영어