Handbook for applied modeling: non-gaussian and correlated data (Record no. 211975)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190511b 2017 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781316601051
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.53
Item number R4H2
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Riggs, Jamie D.
9 (RLIN) 380026
245 ## - TITLE STATEMENT
Title Handbook for applied modeling: non-gaussian and correlated data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Cambridge University Press
Date of publication, distribution, etc 2017
Place of publication, distribution, etc Cambridge
300 ## - PHYSICAL DESCRIPTION
Extent xv, 216p.
Other physical details With index
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents

1 - The Data Sets
2 - The Model-Building Process
3 - Constant Variance Response Models
4 - Nonconstant Variance Response Models
5 - Discrete, Categorical Response Models
6 - Count Response Models
7 - Time-to-Event Response Models
8 - Longitudinal Response Models
9 - Structural Equation Modeling
10 - Matching Data to Models
520 ## - SUMMARY, ETC.
Summary, etc 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. Data, R, and SAS scripts can be found online at http://www.spesi.org.

https://www.cambridge.org/core/books/handbook-for-applied-modeling-nongaussian-and-correlated-data/BFCF6FB7319BEEB233C82A5277A1E58B#fndtn-information
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical models
9 (RLIN) 380027
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
9 (RLIN) 380028
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic processes
9 (RLIN) 380029
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Gaussian processes
9 (RLIN) 380030
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Lalonde, Trent L.
Relator term Co author
9 (RLIN) 380031
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-05-08 5 2.00 Slot 1423 (0 Floor, East Wing) 1 519.53 R4H2 199374 2019-11-19 2019-08-19 2867.04 Books

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