Analysis of Doubly Truncated Data: An Introduction

Analysis of Doubly Truncated Data: An Introduction (SpringerBriefs in Statistics)
By 作者: Achim Dörre
ISBN-10 书号: 9811362408
ISBN-13 书号: 9789811362408
Edition 版本: 1st ed. 2019
Release Finelybook 出版日期: 2019-05-14
pages 页数: (128 )
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.

The Book Description robot was collected from Amazon and arranged by Finelybook

1.Introduction to Double-Truncation
2.Parametric Estimation Under Exponential Family
3.Bayesian Inference for Doubly Truncated Data
4.Nonparametric Inference for Double-Truncation
5.Linear Regression Under Random Double-Truncation

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