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Statistical regression modeling with R : (Record no. 84516)

MARC details
000 -LEADER
fixed length control field 02952nam a22003497a 4500
001 - CONTROL NUMBER
control field sulb0077669
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230320113951.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230320s2021 sz a b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783030675820
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
Transcribing agency YDX
Modifying agency GW5XE
-- OCLCO
-- EBLCP
-- OCLCF
-- N$T
-- UKAHL
-- BD-SySUS
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.536
Edition number 22
Item number CHS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Ding-Geng,
Relator term author.
9 (RLIN) 60845
245 10 - TITLE STATEMENT
Title Statistical regression modeling with R :
Remainder of title longitudinal and multi-level modeling /
Statement of responsibility, etc. Ding-Geng (Din) Chen, Jenny K. Chen.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice [2021]
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 228 p.
Other physical details ill. ;
Dimensions 26 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Linear Regression -- 2. Introduction to Multi-Level Regression -- 3. Two-Level Multi-Level Modeling -- 4. Higher-Level Multi-Level Modeling -- 5. Longitudinal Data Analysis -- 6. Nonlinear Regression Modeling -- 7. Nonlinear Mixed-Effects Modeling -- 8. Generalized Linear Model -- 9. Generalized Multi-Level Model for Dichotomous Outcome -- 10. Generalized Multi-Level Model for Counts Outcome.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from PDF title page (SpringerLink, viewed April 16, 2021).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Regression analysis.
9 (RLIN) 60846
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 60847
Topical term or geographic name as entry element R (Computer program language)
Source of heading or term fast
Authority record control number (OCoLC)fst01086207
9 (RLIN) 60848
Topical term or geographic name as entry element Regression analysis.
Source of heading or term fast
Authority record control number (OCoLC)fst01432090
9 (RLIN) 60849
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chen, Jenny K.,
Relator term author.
9 (RLIN) 60850
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 3030675823
-- 9783030675820
Record control number (OCoLC)1226762505
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Springer Complete eBooks
Uniform Resource Identifier <a href="https://link.springer.com/10.1007/978-3-030-67583-7">https://link.springer.com/10.1007/978-3-030-67583-7</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Central Library, SUST Central Library, SUST General Stacks 20/03/2023   519.536 CHS 0077669 20/03/2023 1 20/03/2023 Books