Verfügbarkeit: Statistics and data analysis for financial engineering

Statistics and data analysis for financial engineering: with R examples

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Bibliographische Detailangaben
Beteiligte Personen:	Ruppert, David 1948- (VerfasserIn), Matteson, David S. (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	New York, NY [u.a.] Springer 2015
Ausgabe:	2. ed.
Schriftenreihe:	Springer texts in statistics
Schlagwörter:	Statistics Finance Mathematical statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance Statistical Theory and Methods Finance/Investment/Banking Statistik Wirtschaft Datenanalyse Financial Engineering
Links:	https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 https://doi.org/10.1007/978-1-4939-2614-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978293&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978293&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (XXVI, 719 S.) 221 illus., 108 illus. in color
ISBN:	9781493926145
ISSN:	1431-875X
DOI:	10.1007/978-1-4939-2614-5

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Datensatz im Suchindex

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adam_text	STATISTICS AND DATA ANALYSIS FOR FINANCIAL ENGINEERING / RUPPERT, DAVID : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION RETURNS FIXED INCOME SECURITIES EXPLORATORY DATA ANALYSIS MODELING UNIVARIATE DISTRIBUTIONS RESAMPLING MULTIVARIATE STATISTICAL MODELS COPULAS TIME SERIES MODELS: BASICS TIME SERIES MODELS: FURTHER TOPICS PORTFOLIO THEORY REGRESSION: BASICS REGRESSION: TROUBLESHOOTING REGRESSION: ADVANCED TOPICS COINTEGRATION THE CAPITAL ASSET PRICING MODEL FACTOR MODELS AND PRINCIPAL COMPONENTS GARCH MODELS RISK MANAGEMENT BAYESIAN DATA ANALYSIS AND MCMC NONPARAMETRIC REGRESSION AND SPLINES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. STATISTICS AND DATA ANALYSIS FOR FINANCIAL ENGINEERING / RUPPERT, DAVID : 2015 ABSTRACT / INHALTSTEXT THE NEW EDITION OF THIS INFLUENTIAL TEXTBOOK, GEARED TOWARDS GRADUATE OR ADVANCED UNDERGRADUATE STUDENTS, TEACHES THE STATISTICS NECESSARY FOR FINANCIAL ENGINEERING. IN DOING SO, IT ILLUSTRATES CONCEPTS USING FINANCIAL MARKETS AND ECONOMIC DATA, R LABS WITH REAL-DATA EXERCISES, AND GRAPHICAL AND ANALYTIC METHODS FOR MODELING AND DIAGNOSING MODELING ERRORS. FINANCIAL ENGINEERS NOW HAVE ACCESS TO ENORMOUS QUANTITIES OF DATA. TO MAKE USE OF THESE DATA, THE POWERFUL METHODS IN THIS BOOK, PARTICULARLY ABOUT VOLATILITY AND RISKS, ARE ESSENTIAL. STRENGTHS OF THIS FULLY-REVISED EDITION INCLUDE MAJOR ADDITIONS TO THE R CODE AND THE ADVANCED TOPICS COVERED. INDIVIDUAL CHAPTERS COVER, AMONG OTHER TOPICS, MULTIVARIATE DISTRIBUTIONS, COPULAS, BAYESIAN COMPUTATIONS, RISK MANAGEMENT, MULTIVARIATE VOLATILITY AND COINTEGRATION. SUGGESTED PREREQUISITES ARE BASIC KNOWLEDGE OF STATISTICS AND PROBABILITY, MATRICES AND LINEAR ALGEBRA, AND CALCULUS.THERE IS AN APPENDIX ON PROBABILITY, STATISTICS AND LINEAR ALGEBRA. PRACTICING FINANCIAL ENGINEERS WILL ALSO FIND THIS BOOK OF INTEREST. DAVID RUPPERT IS ANDREW SCHULTZ, JR., PROFESSOR OF ENGINEERING AND PROFESSOR OF STATISTICAL SCIENCE AT CORNELL UNIVERSITY, WHERE HE TEACHES STATISTICS AND FINANCIAL ENGINEERING AND IS A MEMBER OF THE PROGRAM IN FINANCIAL ENGINEERING. PROFESSOR RUPPERT RECEIVED HIS PHD IN STATISTICS AT MICHIGAN STATE UNIVERSITY. HE IS A FELLOW OF THE AMERICAN STATISTICAL ASSOCIATION AND THE INSTITUTE OF MATHEMATICAL STATISTICS AND WON THE WILCOXON PRIZE. HE IS EDITOR OF THE JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION-THEORY AND METHODS AND FORMER EDITOR OF THE ELECTRONIC JOURNAL OF STATISTICS AND OF THE INSTITUTE OF MATHEMATICAL STATISTICS'S LECTURE NOTES—MONOGRAPHS.PROFESSOR RUPPERT HAS PUBLISHED OVER 125 SCIENTIFIC PAPERS AND FOUR BOOKS: TRANSFORMATION AND WEIGHTING IN REGRESSION, MEASUREMENT ERROR IN NONLINEAR MODELS, SEMIPARAMETRIC REGRESSION, AND STATISTICS AND FINANCE: AN INTRODUCTION. DAVID S. MATTESON IS ASSISTANT PROFESSOR OF STATISTICAL SCIENCE AT CORNELL UNIVERSITY, WHERE HE IS A MEMBER OF THE ILR SCHOOL, CENTER FOR APPLIED MATHEMATICS, FIELD OF OPERATIONS RESEARCH, AND THE PROGRAM IN FINANCIAL ENGINEERING, AND TEACHES STATISTICS AND FINANCIAL ENGINEERING. PROFESSOR MATTESON RECEIVED HIS PHD IN STATISTICS AT THE UNIVERSITY OF CHICAGO. HE RECEIVED A CAREER AWARD FROM THE NATIONAL SCIENCE FOUNDATION AND WON BEST ACADEMIC PAPER AWARDS FROM THE ANNUAL R/FINANCE CONFERENCE. HE IS AN ASSOCIATE EDITOR OF THE JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION-THEORY AND METHODS, BIOMETRICS, AND STATISTICA SINICA.HE IS ALSO AN OFFICER FOR THE BUSINESS AND ECONOMIC STATISTICS SECTION OF THE AMERICAN STATISTICAL ASSOCIATION, AND A MEMBER OF THE INSTITUTE OF MATHEMATICAL STATISTICS AND THE INTERNATIONAL BIOMETRIC SOCIETY DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Ruppert, David 1948- Matteson, David S. Statistics and data analysis for financial engineering with R examples Statistics Finance Mathematical statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance Statistical Theory and Methods Finance/Investment/Banking Statistik Wirtschaft Datenanalyse (DE-588)4123037-1 gnd Financial Engineering (DE-588)4208404-0 gnd Statistik (DE-588)4056995-0 gnd
subject_GND	(DE-588)4123037-1 (DE-588)4208404-0 (DE-588)4056995-0
title	Statistics and data analysis for financial engineering with R examples
title_auth	Statistics and data analysis for financial engineering with R examples
title_exact_search	Statistics and data analysis for financial engineering with R examples
title_full	Statistics and data analysis for financial engineering with R examples David Ruppert ; David S. Matteson
title_fullStr	Statistics and data analysis for financial engineering with R examples David Ruppert ; David S. Matteson
title_full_unstemmed	Statistics and data analysis for financial engineering with R examples David Ruppert ; David S. Matteson
title_short	Statistics and data analysis for financial engineering
title_sort	statistics and data analysis for financial engineering with r examples
title_sub	with R examples
topic	Statistics Finance Mathematical statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance Statistical Theory and Methods Finance/Investment/Banking Statistik Wirtschaft Datenanalyse (DE-588)4123037-1 gnd Financial Engineering (DE-588)4208404-0 gnd Statistik (DE-588)4056995-0 gnd
topic_facet	Statistics Finance Mathematical statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Quantitative Finance Statistical Theory and Methods Finance/Investment/Banking Statistik Wirtschaft Datenanalyse Financial Engineering
url	https://doi.org/10.1007/978-1-4939-2614-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978293&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027978293&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT ruppertdavid statisticsanddataanalysisforfinancialengineeringwithrexamples AT mattesondavids statisticsanddataanalysisforfinancialengineeringwithrexamples

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