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Handbook for applied modeling :non-g...

Lalonde, Trent.

Handbook for applied modeling :non-gaussian and correlated data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook for applied modeling :Jamie D. Riggs, Trent L. Lalonde.
其他題名:	non-gaussian and correlated data /
作者:	Riggs, Jamie.
其他作者:	Lalonde, Trent.
出版者:	Cambridge, United Kingdom ;Cambridge University Press,c2017.
面頁冊數:	xv, 216 p. :ill. ;26 cm
標題:	Gaussian processes.
ISBN:	9781316601051 (pbk.) :

Handbook for applied modeling :non-gaussian and correlated data /
Riggs, Jamie.

Handbook for applied modeling :non-gaussian and correlated data /Jamie D. Riggs, Trent L. Lalonde. - Cambridge, United Kingdom ;Cambridge University Press,c2017. - xv, 216 p. :ill. ;26 cm

Includes bibliographical references (p. 211-212) and index.

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for their own data analysis needs. --

ISBN: 9781316601051 (pbk.) :NT$ 1036

LCCN: 2017004641Subjects--Topical Terms:

211434
Gaussian processes.

LC Class. No.: QA276 / .R569 2017

Dewey Class. No.: 519.5/3

Handbook for applied modeling :non-gaussian and correlated data /
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