1989, ISBN: 0387970185

[EAN: 9780387970189], Neubuch, [PU: Springer New York Okt 1989], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; STATISTIK / WIRTSCHAFTSSTATISTIK; CALCULUS; LINEARALGEBRA; STATISTICALANA… Mehr…

[EAN: 9780387970189], Neubuch, [PU: Springer New York Okt 1989], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; STATISTIK / WIRTSCHAFTSSTATISTIK; CALCULUS; LINEARALGEBRA; STATISTICALANALYSIS; STATISTICS; LOGISTICREGRESSION, This item is printed on demand - it takes 3-4 days longer - Neuware -The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics. 388 pp. Englisch, Books<

1989, ISBN: 0387970185

[EAN: 9780387970189], Neubuch, [SC: 0.0], [PU: Springer New York], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; STATISTIK / WIRTSCHAFTSSTATISTIK; CALCULUS; LINEARALGEBRA; STATISTICALA… Mehr…

[EAN: 9780387970189], Neubuch, [SC: 0.0], [PU: Springer New York], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; STATISTIK / WIRTSCHAFTSSTATISTIK; CALCULUS; LINEARALGEBRA; STATISTICALANALYSIS; STATISTICS; LOGISTICREGRESSION, Druck auf Anfrage Neuware - Printed after ordering - The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics. 388 pp. Englisch, Books<

2016, ISBN: 9780387970189

[ED: Buch], [PU: Springer New York], Neuware - The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The… Mehr…

[ED: Buch], [PU: Springer New York], Neuware - The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 241x160x27 mm, 388, [GW: 746g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

ISBN: 9780387970189

The Statistical Analysis of Discrete Data provides an introduction to cur­ rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduat… Mehr…

The Statistical Analysis of Discrete Data provides an introduction to cur­ rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq­ uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap­ ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi­ mental design, and regression diagnostics, as well as to describe alterna­ tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to­ gether with our own experiences and biases, have governed our choice of topics., Springer<

1989, ISBN: 0387970185

1989 Gebundene Ausgabe Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Statistik / Wirtschaftsstatistik, Wirtschaftsstatistik, Wahrscheinlichkeitsrechnung und Statistik, calculus; line… Mehr…

1989 Gebundene Ausgabe Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Statistik / Wirtschaftsstatistik, Wirtschaftsstatistik, Wahrscheinlichkeitsrechnung und Statistik, calculus; linearalgebra; Statisticalanalysis; Statistics; LogisticRegression, mit Schutzumschlag 11, [PU:Springer New York; Springer US, New York, N.Y.]<