Holdings: Statistical methods for ranking data

Statistical methods for ranking data:

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Bibliographic Details
Main Authors:	Alvo, Mayer (Author), Yu, Philip L. H. (Author)
Format:	Electronic eBook
Language:	English
Published:	New York, NY [u.a.] Springer 2014
Series:	Frontiers in probability and the statistical sciences
Subjects:	Electronic book text
Online Access:	DE-634 DE-861 DE-91 DE-384 DE-19 DE-703 DE-20 DE-739 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource
ISBN:	9781493914708 9781493914715
DOI:	10.1007/978-1-4939-1471-5

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MARC


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Record in the Search Index

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adam_text	STATISTICAL METHODS FOR RANKING DATA / ALVO, MAYER : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION EXPLORATORY ANALYSIS OF RANKING DATA CORRELATION ANALYSIS OF PAIRED RANKING DATA TESTING FOR RANDOMNESS, AGREEMENT AND INTERACTION BLOCK DESIGNS GENERAL THEORY OF HYPOTHESIS TESTING TESTING FOR ORDERED ALTERNATIVES PROBABILITY MODELS FOR RANKING DATA PROBIT MODELS FOR RANKING DATA DECISION TREE MODELS FOR RANKING DATA EXTENSION OF DISTANCE-BASED MODELS FOR RANKING DATA APPENDIX A: RANKING DATA SETS APPENDIX B: LIMIT THEOREMS APPENDIX C: REVIEW ON DECISION TREES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. STATISTICAL METHODS FOR RANKING DATA / ALVO, MAYER : 2014 ABSTRACT / INHALTSTEXT THIS BOOK INTRODUCES ADVANCED UNDERGRADUATE, GRADUATE STUDENTS AND PRACTITIONERS TO STATISTICAL METHODS FOR RANKING DATA. AN IMPORTANT ASPECT OF NONPARAMETRIC STATISTICS IS ORIENTED TOWARDS THE USE OF RANKING DATA. RANK CORRELATION IS DEFINED THROUGH THE NOTION OF DISTANCE FUNCTIONS AND THE NOTION OF COMPATIBILITY IS INTRODUCED TO DEAL WITH INCOMPLETE DATA. RANKING DATA ARE ALSO MODELED USING A VARIETY OF MODERN TOOLS SUCH AS CART, MCMC, EM ALGORITHM AND FACTOR ANALYSIS. THIS BOOK DEALS WITH STATISTICAL METHODS USED FOR ANALYZING SUCH DATA AND PROVIDES A NOVEL AND UNIFYING APPROACH FOR HYPOTHESES TESTING. THE TECHNIQUES DESCRIBED IN THE BOOK ARE ILLUSTRATED WITH EXAMPLES AND THE STATISTICAL SOFTWARE IS PROVIDED ON THE AUTHORS’ WEBSITE DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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discipline	Mathematik Wirtschaftswissenschaften
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spelling	Alvo, Mayer Verfasser (DE-588)1059363216 aut Statistical methods for ranking data Mayer Alvo ; Philip L. H. Yu New York, NY [u.a.] Springer 2014 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Frontiers in probability and the statistical sciences Electronic book text Yu, Philip L. H. Verfasser (DE-588)1059363984 aut https://doi.org/10.1007/978-1-4939-1471-5 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027555006&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027555006&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Alvo, Mayer Yu, Philip L. H. Statistical methods for ranking data
title	Statistical methods for ranking data
title_auth	Statistical methods for ranking data
title_exact_search	Statistical methods for ranking data
title_full	Statistical methods for ranking data Mayer Alvo ; Philip L. H. Yu
title_fullStr	Statistical methods for ranking data Mayer Alvo ; Philip L. H. Yu
title_full_unstemmed	Statistical methods for ranking data Mayer Alvo ; Philip L. H. Yu
title_short	Statistical methods for ranking data
title_sort	statistical methods for ranking data
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work_keys_str_mv	AT alvomayer statisticalmethodsforrankingdata AT yuphiliplh statisticalmethodsforrankingdata

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