##### Detailseite wird geladen...

ISBN: 9780387970189

ID: 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 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. The Statistical Analysis of Discrete Data: 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. Wahrscheinlichkeitstheorie ( Wahrscheinlichkeit ) Wahrscheinlichkeit - Wahrscheinlichkeitstheorie Statistik / Wirtschaftsstatistik Wirtschaftsstatistik, Springer

Rheinberg-Buch.de
Buch, Englisch, Neuware Versandkosten:Ab 20¤ Versandkostenfrei in Deutschland, Sofort lieferbar, DE. (EUR 0.00)
Details... |

ISBN: 9780387970189

ID: ab235a3b4ea7701d8fa4a77f368643a1

The Statistical Analysis of Discrete Data 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-387-97018-9, Springer

Buch.de
Nr. 6030828 Versandkosten:Bücher und alle Bestellungen die ein Buch enthalten sind versandkostenfrei, sonstige Bestellungen innerhalb Deutschland EUR 3,-, ab EUR 20,- kostenlos, Bürobedarf EUR 4,50, kostenlos ab EUR 45,-, Sofort lieferbar, más costos de envío, zzgl. Versandkosten
Details... |

ISBN: 9780387970189

[ED: Buch], [PU: Springer], 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., [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x26 mm, [GW: 742g]

Booklooker.de |

ISBN: 9780387970189

[ED: Buch], [PU: Springer], 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., [SC: 0.00], Neuware, gewerbliches Angebot, 235x155x26 mm, [GW: 742g]

Booklooker.de |

ISBN: 9780387970189

[ED: Buch], [PU: Springer], 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., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 742g]

Booklooker.de |

Autor: | |

Titel: | ## The Statistical Analysis of Discrete Data |

ISBN-Nummer: |

** Detailangaben zum Buch - The Statistical Analysis of Discrete Data**

EAN (ISBN-13): 9780387970189

ISBN (ISBN-10): 0387970185

Gebundene Ausgabe

Erscheinungsjahr: 1989

Herausgeber: Springer-Verlag GmbH

388 Seiten

Gewicht: 0,760 kg

Sprache: eng/Englisch

Buch in der Datenbank seit 15.05.2007 20:15:40

Buch zuletzt gefunden am 16.02.2017 20:21:10

ISBN/EAN: 0387970185

ISBN - alternative Schreibweisen:

0-387-97018-5, 978-0-387-97018-9

< zum Archiv...

##### Benachbarte Bücher

- "Weakly Differentiable Functions", von "Ziemer, William P." (9780387970172)
- "Computers &amp;amp;amp;amp;amp; Mathematics 1st Edition", von "Erich Kaltofen Stephen M Watt" (0387970193)
- "Building Expert Systems in PROLOG (Lecture Notes in Statistics)", von "Dennis Merritt" (0387970169)
- "Fundamentals of Mathematical Statistics. Volume II: Statistical Inference. Springer Texts in Statistics.", von "NGUYEN, HUNG T. & GERALD S. ROGERS," (0387970207)
- "Sources, Deposition, and Canopy Interactions", von "Lindberg, S. E. / Page, A. L. / Norton, S. A. (Hgg.)" (0387970150)
- "A System V Guide to Unix and Xenix", von "Topham, Douglas" (0387970215)