Statistical matching: a frequentist theory, practical applications, and alternative Bayesian approaches
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York [u.a.]
Springer
2002
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Schriftenreihe: | Lecture notes in statistics
168 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XVIII, 238 S. graph. Darst. |
ISBN: | 038795516X |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | CONTENTS PREFACE VII 1 INTRODUETION 1 1.1 STATISTIEAL MATCHING -
PROBLEMS AND PERSPECTIVES 1 1.2 RECORD LINKAGE VERSUS STATISTIEAL
MATCHING ... 6 1.3 STATISTIEAL MATCHING AS NONRESPONSE PHENOMENON 6 1.4
IDENTIFICATION PROBLEMS INHERENT IN STATISTIEAL MATCHING 8 1.5 OUTLINE
OF THE BOOK . . . . . . . . 11 1.6 BIBLIOGRAPHIE AND SOFTWARE NOTES . .
. . . . . . . . . .. 13 2 FREQUENTIST THEORY OF STATISTICAL MATCHING 15
2.1 INTRODUCTION AND CHAPTERS OUTLINE 15 2.2 THE MATCHING PROCESS 16 2.3
PROPERTIES OF THE MATCHING PROCESS 20 2.3.1 BASIC ASSUMPTIONS . . . . .
20 2.3.2 DISTRIBUTION OF THE ARTIFICIAL SAMPIE 21 2.3.3 MARGINAL
DISTRIBUTIONS AFTER THE MATCH 22 2.3.4 CORRELATIONS AFTER THE MATCH 23
2.4 MATCHING BY PROPENSITY SCORES 24 2.4.1 PRINCIPLE..... 25 2.4.2
BALANCING SCORES .... 27 2.4.3 PROPENSITY SCORES . . . . 27 2.5
OBJECTIVES OF STATISTIEAL MATCHING 29 2.5.1 FIRST LEVEL: PRESERVING
INDIVIDUAL VALUES 30 X CONTENTS 2.5.2 SECOND LEVEL: PRESERVING JOINT
DISTRIBUTIONS. .. 31 2.5.3 THIRD LEVEL: PRESERVING CORRELATION
STRUCTURES.. 31 2.5.4 FOURTH LEVEL: PRESERVING MARGINAL DISTRIBUTIONS .
31 2.5.5 DISCUSSION......... 32 2.6 SOME ILLUSTRATIONS. . . . . . . . .
. . . . . . . 33 2.6.1 CONDITIONAL INDEPENDENCE . . . . . . . 33 2.6.2
ASSUMING NORMALLY DISTRIBUTED DATA . 35 2.6.3 SIMULATION STUDY 36 2.7
CONCLUDING REMARKS . . . . . . . . . . . . . . 42 3 PRACTICAL
APPLICATIONS OF STATISTICAL MATCHING 44 3.1 INTRODUCTION AND CHAPTERS
OUTLINE . . . . 44 3.2 HISTORY OF STATISTICAL MATCHING TECHNIQUES . . 45
3.2.1 DATA FUSION IN EUROPE . . . . . . . . . 45 3.2.2 STATISTICAL
MATCHING IN THE USA AND CANADA 49 3.3 OVERVIEW OF TRADITIONAL
APPROACHES. 52 3.3.1 UNCONSTRAINED MATCHING . . . . . . . 53 3.3.2
CONSTRAINED MATCHING .... . . . . 57 3.3.3 CATEGORICALLY CONSTRAINED
MATCHING . 60 3.3.4 THE TOPOLOGICAL CONCEPT . . . . . . . 63 3.3.5
MULTIPLE ASCRIPTION WITH SPECIFICVARIABLES. 66 3.4 CONCLUDING REMARKS .
. . . . . . . . . . . . . . 69 4 ALTERNATIVE APPROACHES TO STATISTICAL
MATCHING 71 4.1 INTRODUCTION AND CHAPTERS OUTLINE . . . . . . . 71 4.2
SOME BASIC NOTATION . . . . . . . . . . . . . . . 75 4.2.1 IGNORABILITY
OF THE MISSING DATA MECHANISM 75 4.2.2 OBSERVED-DATA LIKELIHOOD 76 4.2.3
BAYESIAN INFERENCE .. 84 4.3 MULTIPLE IMPUTATION INFERENCE . . 87 4.3.1
INTRODUCTION........ 87 4.3.2 THE MULTIPLE IMPUTATION PRINCIPLE 89 4.3.3
EFFICIENCYOF THE MULTIPLE IMPUTATION ESTIMATES 91 4.3.4 NORMALLY
DISTRIBUTED DATA NOT JOINTLY OBSERVED 93 4.3.5
DISCUSSION................. 96 4.4 REGRESSION IMPUTATION WITH RANDOM
RESIDUALS 96 4.4.1 INTRODUCTION...... 96 4.4.2 IMPUTATION PROCEDURE 97
4.4.3 DISCUSSION................. 100 4.5 NONITERATIVE MULTIVARIATE
IMPUTATION PROCEDURE . 101 4.5.1 INTRODUCTION................. 101 4.5.2
IMPUTATION PROCEDURE FOR UNIVARIATE VARIABLES. 102 4.5.3 IMPUTATION
PROCEDURE FOR MULTIVARIATE VARIABLES 103 4.5.4 DISCUSSION.. 106 4.6 DATA
AUGMENTATION , 107 CONTENTS XI 4.6.1 INTRODUCTION...... 107 4.6.2
IMPUTATION PROCEDURE 108 4.6.3 DISCUSSION....... 111 4.7 ITERATIVE
UNIVARIATE IMPUTATIONS BY CHAINED EQUATIONS. 112 4.7.1
INTRODUCTION...... 112 4.7.2 IMPUTATION PROCEDURE 112 4.7.3
DISCUSSION................ 114 4.8 SIMULATION STUDY - MULTIVARIATE
NORMAL DATA 115 4.8.1 DATA MODEL . . . . . . . . . . . . . 115 4.8.2
DESIGN OF THE STUDY . . . . . . . . . . . 117 4.8.3 RESULTS BASED ON
PRIOR INFORMATION . . 120 4.8.4 RESULTS BASED ON AN AUXILIARY DATA FILE
122 4.8.5 SUMMARY .. 124 4.9 CONCLUDING REMARKS . . . . . . . . . . . .
. . . 125 5 EMPIRICAL EVALUATION OF ALTERNATIVE APPROACHES 128 5.1
INTRODUCTION AND CHAPTERS OUTLINE . . . 128 5.2 SIMULATION STUDY USING
SURVEY DATA . . . . . . . 130 5.2.1 UNIVARIATE STRUCTURE OF THE DATA
..... 131 5.2.2 BIVARIATE ASSOCIATIONS OF THE ORIGINAL DATA . 137 5.2.3
CONDITIONALINDEPENDENCE . . . . 142 5.3 SIMULATION STUDY USING GENERATED
DATA 147 5.4 DESIGN OF THE EVALUATION STUDY .... 148 5.4.1 TECHNIQUES
UNDER INVESTIGATION 149 5.4.2 MEASURING THE GOODNESS-OF-FIT 149 5.4.3
OVERVIEW............. 155 5.5 RESULTS DUE TO ALTERNATIVE APPROACHES 158
5.5.1 NONITERATIVE MULTIVARIATE IMPUTATION PROCEDURE . 159 5.5.2 DATA
AUGMENTATION. . . . . . . . . . . . . . 172 5.5.3 ITERATIVE IMPUTATIONS
BY CHAINED EQUATIONS 185 5.6 CONCLUDING REMARKS .. . . . . . . . . . . .
. . . . 197 6 SYNOPSIS AND OUTLOOK 200 6.1
SYNOPSIS.......................... 200 6.1.1 SUMMARY 200 6.1.2 AVAILABLE
MI-SOFTWAREFOR STATISTICAL MATCHING . 203 6.1.3 CONCLUSIONS . . . . . .
. . . . . . . . . . 204 6.2 OUTLOOK...................... 205 6.2.1
SEARCHING FOR CONDITIONAL INDEPENDENCE 205 6.2.2 AVOIDING IDENTIFICATION
PROBLEMS . . . . 205 APPENDIX 208 SOME TECHNICALITIES. . . . . . . . . .
. . . . . . . . . . . 208 MULTIVARIATE NORMAL MODEL COMPLETELY OBSERVED
208 NORMALLY DISTRIBUTED DATA NOT JOINTLY OBSERVED 211 XII CONTENTS
BASIC S-PLUS ROUTINES EVALPRIOR . EVALCF. NIBAS TABLES .. REFERENCES
INDEX 214 214 217 220 222 226 235
|
any_adam_object | 1 |
author | Rässler, Susanne 1962-2018 |
author_GND | (DE-588)171420314 |
author_facet | Rässler, Susanne 1962-2018 |
author_role | aut |
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author_variant | s r sr |
building | Verbundindex |
bvnumber | BV014503475 |
callnumber-first | Q - Science |
callnumber-label | QA276 |
callnumber-raw | QA276.6.R37 2002 |
callnumber-search | QA276.6.R37 2002 |
callnumber-sort | QA 3276.6 R37 42002 |
callnumber-subject | QA - Mathematics |
classification_rvk | QH 233 QH 234 SI 856 |
ctrlnum | (OCoLC)49773785 (DE-599)BVBBV014503475 |
dewey-full | 519.521 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 21 519.5 |
dewey-search | 519.5 21 519.5 |
dewey-sort | 3519.5 221 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik Wirtschaftswissenschaften |
format | Book |
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indexdate | 2024-07-09T19:03:09Z |
institution | BVB |
isbn | 038795516X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009883914 |
oclc_num | 49773785 |
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physical | XVIII, 238 S. graph. Darst. |
publishDate | 2002 |
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publisher | Springer |
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series | Lecture notes in statistics |
series2 | Lecture notes in statistics |
spelling | Rässler, Susanne 1962-2018 Verfasser (DE-588)171420314 aut Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches Susanne Rässler New York [u.a.] Springer 2002 XVIII, 238 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in statistics 168 Statistique d'appariement Statistische methoden gtt Statistical matching Statistik (DE-588)4056995-0 gnd rswk-swf Matching (DE-588)4212483-9 gnd rswk-swf Matching (DE-588)4212483-9 s Statistik (DE-588)4056995-0 s DE-604 Lecture notes in statistics 168 (DE-604)BV002447846 168 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009883914&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Rässler, Susanne 1962-2018 Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches Lecture notes in statistics Statistique d'appariement Statistische methoden gtt Statistical matching Statistik (DE-588)4056995-0 gnd Matching (DE-588)4212483-9 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4212483-9 |
title | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches |
title_auth | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches |
title_exact_search | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches |
title_full | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches Susanne Rässler |
title_fullStr | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches Susanne Rässler |
title_full_unstemmed | Statistical matching a frequentist theory, practical applications, and alternative Bayesian approaches Susanne Rässler |
title_short | Statistical matching |
title_sort | statistical matching a frequentist theory practical applications and alternative bayesian approaches |
title_sub | a frequentist theory, practical applications, and alternative Bayesian approaches |
topic | Statistique d'appariement Statistische methoden gtt Statistical matching Statistik (DE-588)4056995-0 gnd Matching (DE-588)4212483-9 gnd |
topic_facet | Statistique d'appariement Statistische methoden Statistical matching Statistik Matching |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009883914&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV002447846 |
work_keys_str_mv | AT rasslersusanne statisticalmatchingafrequentisttheorypracticalapplicationsandalternativebayesianapproaches |