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borderland which separates the known from the unknown”

-P.C.Mahalanobis


Linear and Generalized Linear Mixed Models and Their Applications (Record no. 425455)

MARC details
000 -LEADER
fixed length control field 03999nam a22005775i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9780387479460
-- 978-0-387-47946-0
024 7# -
-- 10.1007/978-0-387-47946-0
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA273.A1-274.9
050 #4 -
-- QA274-274.9
072 #7 -
-- PBT
-- bicssc
072 #7 -
-- MAT029000
-- bisacsh
072 #7 -
-- PBT
-- thema
072 #7 -
-- PBWL
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jiang, Jiming.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Linear and Generalized Linear Mixed Models and Their Applications
Medium [electronic resource] /
Statement of responsibility, etc by Jiming Jiang.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture 2007.
300 ## -
-- XIV, 257 p.
-- online resource.
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
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Springer Series in Statistics,
-- 0172-7397
505 0# -
-- Linear Mixed Models: Part I -- Linear Mixed Models: Part II -- Generalized Linear Mixed Models: Part I -- Generalized Linear Mixed Models: Part II.
520 ## -
-- This book covers two major classes of mixed effects models, linear mixed models and generalized linear mixed models, and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. The book offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it has included recently developed methods, such as mixed model diagnostics, mixed model selection, and jackknife method in the context of mixed models. The book is aimed at students, researchers and other practitioners who are interested in using mixed models for statistical data analysis. The book is suitable for a course in a M.S. program in statistics, provided that the section of further results and technical notes in each of the first four chapters is skipped. If these four sections are included, the book may be used for a course in a Ph. D. program in statistics. A first course in mathematical statistics, the ability to use computers for data analysis, and familiarity with calculus and linear algebra are prerequisites. Additional statistical courses such as regression analysis and a good knowledge about matrices would be helpful. Jiming Jiang is Professor of Statistics and Director of the Statistical Laboratory at UC-Davis. He is a prominent researcher in the fields of mixed effects models and small area estimation, and co-receiver of the Chinese National Natural Science Award and American Statistical Association's Outstanding Statistical Application Award.
650 #0 -
-- Distribution (Probability theory.
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Numerical analysis.
650 #0 -
-- Genetics
-- Mathematics.
650 14 -
-- Probability Theory and Stochastic Processes.
-- http://scigraph.springernature.com/things/product-market-codes/M27004
650 24 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
-- Public Health.
-- http://scigraph.springernature.com/things/product-market-codes/H27002
650 24 -
-- Numerical Analysis.
-- http://scigraph.springernature.com/things/product-market-codes/M14050
650 24 -
-- Genetics and Population Dynamics.
-- http://scigraph.springernature.com/things/product-market-codes/M31010
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9781441923684
776 08 -
-- Printed edition:
-- 9780387516738
776 08 -
-- Printed edition:
-- 9780387479415
830 #0 -
-- Springer Series in Statistics,
-- 0172-7397
856 40 -
-- https://doi.org/10.1007/978-0-387-47946-0
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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