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Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability)
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Joseph M. Hilbe 作者
Chapman & Hall/CRC
譯者
2010-04-30 出版日期
224 頁數
USD 89.95 價格
Hardcover
叢書系列
9781420099935 圖書編碼

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Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 著者簡介

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 著者簡介

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Quasi-Least Squares Regression (Chapman & Hall/ Crc Monographs on Statistics & Applied Probability) 在線電子書 圖書描述

Drawing on the authors' substantial expertise in modeling longitudinal and clustered data, this book presents a comprehensive treatment of quasi-least squares (QLS) regression-a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present an overview and detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS also allows for improved analysis with an unstructured correlation matrix. Special focus is given to goodness-of-fit analysis as well as new strategies for selecting the appropriate working correlation structure for QLS and GEE. A chapter on longitudinal binary data tackles recent issues raised in the statistical literature regarding the appropriateness of semi-parametric methods, such as GEE and QLS, for the analysis of binary data; this chapter includes a comparison with the first-order Markov maximum-likelihood (MARK1ML) approach for binary data. Examples throughout the book demonstrate each topic of discussion. In particular, a fully worked out example leads readers from the planning stages of a study (including sample size considerations) through model construction and interpretation. Code is provided so that readers can replicate many of the examples in Stata, often with corresponding R, SAS, or MATLAB(R) code offered in the text or on the book's website.

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