國立高雄大學圖資館 |

Language: English

Back

Linear mixed-effects models using R ...

Burzykowski, Tomasz.

Linear mixed-effects models using R :a step-by-step approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Linear mixed-effects models using R :Andrzej Gałecki, Tomasz Burzykowski.
Reminder of title:	a step-by-step approach /
Author:	Gałecki, Andrzej T.
other author:	Burzykowski, Tomasz.
Published:	New York, NY :Springer,c2013.
Description:	542 p. :ill. ;24 cm.
Subject:	Linear models (Statistics)
ISBN:	1461438993 (hbk.) :

Linear mixed-effects models using R :a step-by-step approach /
Gałecki, Andrzej T.

Linear mixed-effects models using R :a step-by-step approach /Andrzej Gałecki, Tomasz Burzykowski. - New York, NY :Springer,c2013. - 542 p. :ill. ;24 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..

Includes bibliographical references and indexes.

Introduction -- Introduction -- Case Studies -- Data Exploration -- Linear Models for Independent Observations -- Linear Models with Homogeneous Variance -- Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions -- ARMD Trial: Linear Model with Homogeneous Variance -- Linear Models with Heterogeneous Variance -- Fitting Linear Models with Heterogeneous Variance: The gls() Function -- ARMD Trial: Linear Model with Heterogeneous Variance -- Linear Fixed-effects Models for Correlated Data -- Linear Model with Fixed Effects and Correlated Errors -- Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function -- ARMD Trial: Modeling Correlated Errors for Visual Acuity -- Linear Mixed-effects Models -- Linear Mixed-Effects Model -- Fitting Linear Mixed-Effects Models: The lme()Function -- Fitting Linear Mixed-Effects Models: The lmer() Function -- ARMD Trial: Modeling Visual Acuity -- PRT Trial: Modeling Muscle Fiber Specific-Force -- SII Project: Modeling Gains in Mathematics Achievement-Scores -- FCAT Study: Modeling Attainment-Target Scores -- Extensions of the RTools for Linear Mixed-Effects Models.

ISBN: 1461438993 (hbk.) :NT$1586

LCCN: 2012941857Subjects--Topical Terms:

181866
Linear models (Statistics)

LC Class. No.: QA279 / .G35 2013

Linear mixed-effects models using R :a step-by-step approach /
LDR:01902cam a2200229 a 4500 001 462267
005 20141203092108.0
008 151112s2013 nyua b 001 0 eng d
010 $a 2012941857
020 $a 1461438993 (hbk.) : $c NT$1586
020 $a 9781461438991 (hbk.)
020 $a 9781461439004 (ebk.)
035 $a (OCoLC)ocn846484766
035 $a 17344489
040 $a IND $c IND $d DLC
042 $a lccopycat
050 0 0 $a QA279 $b .G35 2013
100 1 $a Gałecki, Andrzej T. $3 709114
245 1 0 $a Linear mixed-effects models using R : $b a step-by-step approach / $c Andrzej Gałecki, Tomasz Burzykowski.
260 $a New York, NY : $b Springer, $c c2013.
300 $a 542 p. : $b ill. ; $c 24 cm.
490 1 $a Springer texts in statistics, $x 1431-875X
504 $a Includes bibliographical references and indexes.
505 0 $a Introduction -- Introduction -- Case Studies -- Data Exploration -- Linear Models for Independent Observations -- Linear Models with Homogeneous Variance -- Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions -- ARMD Trial: Linear Model with Homogeneous Variance -- Linear Models with Heterogeneous Variance -- Fitting Linear Models with Heterogeneous Variance: The gls() Function -- ARMD Trial: Linear Model with Heterogeneous Variance -- Linear Fixed-effects Models for Correlated Data -- Linear Model with Fixed Effects and Correlated Errors -- Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function -- ARMD Trial: Modeling Correlated Errors for Visual Acuity -- Linear Mixed-effects Models -- Linear Mixed-Effects Model -- Fitting Linear Mixed-Effects Models: The lme()Function -- Fitting Linear Mixed-Effects Models: The lmer() Function -- ARMD Trial: Modeling Visual Acuity -- PRT Trial: Modeling Muscle Fiber Specific-Force -- SII Project: Modeling Gains in Mathematics Achievement-Scores -- FCAT Study: Modeling Attainment-Target Scores -- Extensions of the RTools for Linear Mixed-Effects Models.
650 0 $a Linear models (Statistics) $3 181866
650 0 $a R (Computer program language) $3 210846
700 1 $a Burzykowski, Tomasz. $3 254186
830 0 $a Springer texts in statistics. $3 559235