Verfügbarkeit: Extending the linear model with R

Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models

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Bibliographische Detailangaben
1. Verfasser:	Faraway, Julian James (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Boca Raton [u.a.] Chapman & Hall/CRC 2006
Schriftenreihe:	Texts in statistical science [66]
Schlagworte:	Analyse de régression Analyse de variance Modelos lineares generalizados Modèle linéaire Non-parametrische statistiek Pesquisa e planejamento estatístico R (Langage de programmation) - Modèles mathématiques R (Langage de programmation) Regressieanalyse Software estatístico para microcomputadores Mathematisches Modell Analysis of variance Regression analysis R (Computer program language) > Mathematical models R > Programm Gemischtes Modell Varianzanalyse Regressionsanalyse Nichtparametrische Regression
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	IX, 301 S. Ill., graph. Darst.
ISBN:	158488424X 9781584884248

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Datensatz im Suchindex

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adam_text	CONTENTS PREFACE V 1 INTRODUCTION 1 2 BINOMIAL DATA 25 2.1 CHALLENGER DISASTER EXAMPLE 25 2.2 BINOMIAL REGRESSION MODEL 26 2.3 INFERENCE 29 2.4 TOLERANCE DISTRIBUTION 31 2.5 INTERPRETING ODDS 31 2.6 PROSPECTIVE AND RETROSPECTIVE SAMPLING 34 2.7 CHOICE OF LINK FUNCTION 36 2.8 ESTIMATION PROBLEMS 38 2.9 GOODNESS OF FIT 40 2.10 PREDICTION AND EFFECTIVE DOSES 41 2.11 OVERDISPERSION 43 2.12 MATCHED CASE-CONTROL STUDIES 48 3 COUNT REGRESSION 55 3.1 POISSON REGRESSION 55 3.2 RATE MODELS 61 3.3 NEGATIVE BINOMIAL 63 4 CONTINGENCY TABLES 69 4.1 TWO-BY-TWO TABLES 69 4.2 LARGER TWO-WAY TABLES 75 4.3 MATCHED PAIRS 79 4.4 THREE-WAY CONTINGENCY TABLES 81 4.5 ORDINAL VARIABLES 88 5 MULTINOMIAL DATA 97 5.1 MULTINOMIAL LOGIT MODEL 97 5.2 HIERARCHICAL OR NESTED RESPONSES 103 5.3 ORDINAL MULTINOMIAL RESPONSES 106 VI! VIII CONTENTS 6 GENERALIZED LINEAR MODELS 115 6.1 GLM DEFINITION 115 6.2 FITTING A GLM 117 6.3 HYPOTHESIS TESTS 120 6.4 GLM DIAGNOSTICS 123 7 OTHER GLMS 135 7.1 GAMMA GLM 135 7.2 INVERSE GAUSSIAN GLM 142 7.3 JOINT MODELING OF THE MEAN AND DISPERSION 144 7.4 QUASI-LIKELIHOOD 147 8 RANDOM EFFECTS 153 8.1 ESTIMATION 154 8.2 INFERENCE 158 8.3 PREDICTING RANDOM EFFECTS 161 8.4 BLOCKS AS RANDOM EFFECTS 163 8.5 SPLIT PLOTS 167 8.6 NESTED EFFECTS 170 8.7 CROSSED EFFECTS 172 8.8 MULTILEVEL MODELS 174 9 REPEATED MEASURES AND LONGITUDINAL DATA 185 9.1 LONGITUDINAL DATA 186 9.2 REPEATED MEASURES 191 9.3 MULTIPLE RESPONSE MULTILEVEL MODELS 195 10 MIXED EFFECT MODELS FOR NONNORMAL RESPONSES 201 10.1 GENERALIZED LINEAR MIXED MODELS 201 10.2 GENERALIZED ESTIMATING EQUATIONS 204 11 NONPARAMETRIC REGRESSION 211 11.1 KERNEL ESTIMATORS 213 11.2 SPLINES 217 11.3 LOCAL POLYNOMIALS 221 11.4 WAVELETS 222 11.5 OTHER METHODS 226 11.6 COMPARISON OF METHODS 227 11.7 MULTIVARIATE PREDICTORS 228 12 ADDITIVE MODELS 231 12.1 ADDITIVE MODELS USING THE GARN PACKAGE 233 12.2 ADDITIVE MODELS USING MGCV 235 12.3 GENERALIZED ADDITIVE MODELS 240 12.4 ALTERNATING CONDITIONAL EXPECTATIONS 241 CONTENTS IX 12.5 ADDITIVITY AND VARIANCE STABILIZATION 244 12.6 GENERALIZED ADDITIVE MIXED MODELS 246 12.7 MULTIVARIATE ADAPTIVE REGRESSION SPLINES 247 13 TREES 253 13.1 REGRESSION TREES 253 13.2 TREE PRUNING 257 13.3 CLASSIFICATION TREES 261 14 NEURAL NETWORKS 269 14.1 STATISTICAL MODELS AS NNS 270 14.2 FEED-FORWARD NEURAL NETWORK WITH ONE HIDDEN LAYER 270 14.3 NN APPLICATION 272 14.4 CONCLUSION 276 A LIKELIHOOD THEORY 279 A.I MAXIMUM LIKELIHOOD 279 A.2 HYPOTHESIS TESTING 282 B R INFORMATION 287 BIBLIOGRAPHY 289 INDEX 297 PPN: 250482916 TITEL: EXTENDING THE LINEAR MODEL WITH R : GENERALIZED LINEAR, MIXED EFFECTS AND NONPARAMETRIC REGRESSION MODELS / JULIAN J. FARAWAY. - BOCA RATON, FLA. [U.A.] : CHAPMAN & HALL/CRC, 2006 ISBN: 1-58488-424-X; 978-1-58488-424-8 BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND
adam_txt	CONTENTS PREFACE V 1 INTRODUCTION 1 2 BINOMIAL DATA 25 2.1 CHALLENGER DISASTER EXAMPLE 25 2.2 BINOMIAL REGRESSION MODEL 26 2.3 INFERENCE 29 2.4 TOLERANCE DISTRIBUTION 31 2.5 INTERPRETING ODDS 31 2.6 PROSPECTIVE AND RETROSPECTIVE SAMPLING 34 2.7 CHOICE OF LINK FUNCTION 36 2.8 ESTIMATION PROBLEMS 38 2.9 GOODNESS OF FIT 40 2.10 PREDICTION AND EFFECTIVE DOSES 41 2.11 OVERDISPERSION 43 2.12 MATCHED CASE-CONTROL STUDIES 48 3 COUNT REGRESSION 55 3.1 POISSON REGRESSION 55 3.2 RATE MODELS 61 3.3 NEGATIVE BINOMIAL 63 4 CONTINGENCY TABLES 69 4.1 TWO-BY-TWO TABLES 69 4.2 LARGER TWO-WAY TABLES 75 4.3 MATCHED PAIRS 79 4.4 THREE-WAY CONTINGENCY TABLES 81 4.5 ORDINAL VARIABLES 88 5 MULTINOMIAL DATA 97 5.1 MULTINOMIAL LOGIT MODEL 97 5.2 HIERARCHICAL OR NESTED RESPONSES 103 5.3 ORDINAL MULTINOMIAL RESPONSES 106 VI! VIII CONTENTS 6 GENERALIZED LINEAR MODELS 115 6.1 GLM DEFINITION 115 6.2 FITTING A GLM 117 6.3 HYPOTHESIS TESTS 120 6.4 GLM DIAGNOSTICS 123 7 OTHER GLMS 135 7.1 GAMMA GLM 135 7.2 INVERSE GAUSSIAN GLM 142 7.3 JOINT MODELING OF THE MEAN AND DISPERSION 144 7.4 QUASI-LIKELIHOOD 147 8 RANDOM EFFECTS 153 8.1 ESTIMATION 154 8.2 INFERENCE 158 8.3 PREDICTING RANDOM EFFECTS 161 8.4 BLOCKS AS RANDOM EFFECTS 163 8.5 SPLIT PLOTS 167 8.6 NESTED EFFECTS 170 8.7 CROSSED EFFECTS 172 8.8 MULTILEVEL MODELS 174 9 REPEATED MEASURES AND LONGITUDINAL DATA 185 9.1 LONGITUDINAL DATA 186 9.2 REPEATED MEASURES 191 9.3 MULTIPLE RESPONSE MULTILEVEL MODELS 195 10 MIXED EFFECT MODELS FOR NONNORMAL RESPONSES 201 10.1 GENERALIZED LINEAR MIXED MODELS 201 10.2 GENERALIZED ESTIMATING EQUATIONS 204 11 NONPARAMETRIC REGRESSION 211 11.1 KERNEL ESTIMATORS 213 11.2 SPLINES 217 11.3 LOCAL POLYNOMIALS 221 11.4 WAVELETS 222 11.5 OTHER METHODS 226 11.6 COMPARISON OF METHODS 227 11.7 MULTIVARIATE PREDICTORS 228 12 ADDITIVE MODELS 231 12.1 ADDITIVE MODELS USING THE GARN PACKAGE 233 12.2 ADDITIVE MODELS USING MGCV 235 12.3 GENERALIZED ADDITIVE MODELS 240 12.4 ALTERNATING CONDITIONAL EXPECTATIONS 241 CONTENTS IX 12.5 ADDITIVITY AND VARIANCE STABILIZATION 244 12.6 GENERALIZED ADDITIVE MIXED MODELS 246 12.7 MULTIVARIATE ADAPTIVE REGRESSION SPLINES 247 13 TREES 253 13.1 REGRESSION TREES 253 13.2 TREE PRUNING 257 13.3 CLASSIFICATION TREES 261 14 NEURAL NETWORKS 269 14.1 STATISTICAL MODELS AS NNS 270 14.2 FEED-FORWARD NEURAL NETWORK WITH ONE HIDDEN LAYER 270 14.3 NN APPLICATION 272 14.4 CONCLUSION 276 A LIKELIHOOD THEORY 279 A.I MAXIMUM LIKELIHOOD 279 A.2 HYPOTHESIS TESTING 282 B R INFORMATION 287 BIBLIOGRAPHY 289 INDEX 297 PPN: 250482916 TITEL: EXTENDING THE LINEAR MODEL WITH R : GENERALIZED LINEAR, MIXED EFFECTS AND NONPARAMETRIC REGRESSION MODELS / JULIAN J. FARAWAY. - BOCA RATON, FLA. [U.A.] : CHAPMAN & HALL/CRC, 2006 ISBN: 1-58488-424-X; 978-1-58488-424-8 BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND
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id	DE-604.BV021551542
illustrated	Illustrated
index_date	2024-07-02T14:31:51Z
indexdate	2024-07-09T20:38:26Z
institution	BVB
isbn	158488424X 9781584884248
language	English
lccn	2005054822
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-014767598
oclc_num	62152943
open_access_boolean
owner	DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-384 DE-M49 DE-BY-TUM DE-29T DE-703 DE-945 DE-824 DE-473 DE-BY-UBG DE-355 DE-BY-UBR
owner_facet	DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-384 DE-M49 DE-BY-TUM DE-29T DE-703 DE-945 DE-824 DE-473 DE-BY-UBG DE-355 DE-BY-UBR
physical	IX, 301 S. Ill., graph. Darst.
publishDate	2006
publishDateSearch	2006
publishDateSort	2006
publisher	Chapman & Hall/CRC
record_format	marc
series	Texts in statistical science
series2	Texts in statistical science
spelling	Faraway, Julian James Verfasser (DE-588)1059787571 aut Extending the linear model with R generalized linear, mixed effects and nonparametric regression models Julian J. Faraway Boca Raton [u.a.] Chapman & Hall/CRC 2006 IX, 301 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Texts in statistical science [66] Analyse de régression Analyse de régression rasuqam Analyse de variance Analyse de variance rasuqam Modelos lineares generalizados larpcal Modèle linéaire rasuqam Non-parametrische statistiek gtt Pesquisa e planejamento estatístico larpcal R (Langage de programmation) - Modèles mathématiques R (Langage de programmation) rasuqam Regressieanalyse gtt Software estatístico para microcomputadores larpcal Mathematisches Modell Analysis of variance Regression analysis R (Computer program language) Mathematical models R Programm (DE-588)4705956-4 gnd rswk-swf Gemischtes Modell (DE-588)4156565-4 gnd rswk-swf Varianzanalyse (DE-588)4187413-4 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Nichtparametrische Regression (DE-588)4745075-7 gnd rswk-swf R Programm (DE-588)4705956-4 s Regressionsanalyse (DE-588)4129903-6 s Varianzanalyse (DE-588)4187413-4 s Gemischtes Modell (DE-588)4156565-4 s 1\p DE-604 Nichtparametrische Regression (DE-588)4745075-7 s 2\p DE-604 DE-604 Texts in statistical science [66] (DE-604)BV022819715 66 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014767598&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Faraway, Julian James Extending the linear model with R generalized linear, mixed effects and nonparametric regression models Texts in statistical science Analyse de régression Analyse de régression rasuqam Analyse de variance Analyse de variance rasuqam Modelos lineares generalizados larpcal Modèle linéaire rasuqam Non-parametrische statistiek gtt Pesquisa e planejamento estatístico larpcal R (Langage de programmation) - Modèles mathématiques R (Langage de programmation) rasuqam Regressieanalyse gtt Software estatístico para microcomputadores larpcal Mathematisches Modell Analysis of variance Regression analysis R (Computer program language) Mathematical models R Programm (DE-588)4705956-4 gnd Gemischtes Modell (DE-588)4156565-4 gnd Varianzanalyse (DE-588)4187413-4 gnd Regressionsanalyse (DE-588)4129903-6 gnd Nichtparametrische Regression (DE-588)4745075-7 gnd
subject_GND	(DE-588)4705956-4 (DE-588)4156565-4 (DE-588)4187413-4 (DE-588)4129903-6 (DE-588)4745075-7
title	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models
title_auth	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models
title_exact_search	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models
title_exact_search_txtP	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models
title_full	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models Julian J. Faraway
title_fullStr	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models Julian J. Faraway
title_full_unstemmed	Extending the linear model with R generalized linear, mixed effects and nonparametric regression models Julian J. Faraway
title_short	Extending the linear model with R
title_sort	extending the linear model with r generalized linear mixed effects and nonparametric regression models
title_sub	generalized linear, mixed effects and nonparametric regression models
topic	Analyse de régression Analyse de régression rasuqam Analyse de variance Analyse de variance rasuqam Modelos lineares generalizados larpcal Modèle linéaire rasuqam Non-parametrische statistiek gtt Pesquisa e planejamento estatístico larpcal R (Langage de programmation) - Modèles mathématiques R (Langage de programmation) rasuqam Regressieanalyse gtt Software estatístico para microcomputadores larpcal Mathematisches Modell Analysis of variance Regression analysis R (Computer program language) Mathematical models R Programm (DE-588)4705956-4 gnd Gemischtes Modell (DE-588)4156565-4 gnd Varianzanalyse (DE-588)4187413-4 gnd Regressionsanalyse (DE-588)4129903-6 gnd Nichtparametrische Regression (DE-588)4745075-7 gnd
topic_facet	Analyse de régression Analyse de variance Modelos lineares generalizados Modèle linéaire Non-parametrische statistiek Pesquisa e planejamento estatístico R (Langage de programmation) - Modèles mathématiques R (Langage de programmation) Regressieanalyse Software estatístico para microcomputadores Mathematisches Modell Analysis of variance Regression analysis R (Computer program language) Mathematical models R Programm Gemischtes Modell Varianzanalyse Regressionsanalyse Nichtparametrische Regression
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014767598&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV022819715
work_keys_str_mv	AT farawayjulianjames extendingthelinearmodelwithrgeneralizedlinearmixedeffectsandnonparametricregressionmodels

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