Introduction To Statistics Through Resampling Methods And R/s-plus - Brossura

Good, Phillip I.

Brossura

ISBN 10: 0471715751 ISBN 13: 9780471715757

Casa editrice: Wiley-Interscience, 2005

Riassunto

Stimulate learning through discovery

With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including:

• Tests and estimation procedures for one, two, and multiple samples
• Model building
• Multivariate analysis
• Complex experimental design

Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program.

Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided:

• More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
• Companion FTP site provides access to all data sets and programs discussed in the text
• Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems
• Instructor's manual provides answers to exercises
• Helpful appendices include an introduction to S-PLUS® features

This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.

Su questo libro

Informazioni sull?autore

PHILLIP I. GOOD, PHD, is Operations Manager of Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He has published more than thirty scholarly works, more than 600 articles, and fourteen books, including Common Errors in Statistics (and How to Avoid Them) and A Manager's Guide to the Design and Conduct of Clinical Trials, both from Wiley.

With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including:

• Tests and estimation procedures for one, two, and multiple samples
• Model building
• Multivariate analysis
• Complex experimental design

Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program.

Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided:

• More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills
• Companion FTP site provides access to all data sets and programs discussed in the text
• Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems
• Instructor's manual provides answers to exercises
• Helpful appendices include an introduction to S-PLUS® features

This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.

Dettagli dell'edizione

• Editore: Wiley-Interscience
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0471715751
• ISBN 13: 9780471715757
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 229
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile