Time Series: A Data Analysis Approach Using R (Chapman & Hall/CRC Texts in Statistical Science) - Tapa blanda

Libro 110 de 113: Chapman & Hall/CRC Texts in Statistical Science

Shumway, Robert H.; Stoffer, David S.

 
9781041031642: Time Series: A Data Analysis Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)
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ISBN 10: 1041031645 ISBN 13: 9781041031642
Editorial: Chapman and Hall/CRC, 2026

Sinopsis

The goals of this new, second edition of this book are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. An expanded feature of this edition is the inclusion of many nontrivial data sets illustrating the wealth of potential applications to problems in the biological, physical, and social sciences as well as in economics and medicine.

This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and the analysis of economic and financial problems.

Key Features:

• Presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.

• Detailed R code is included with each numerical example.

• Includes nontrivial data sets.

The book can be used for a one semester/quarter introductory time series course where the prerequisites are an understanding of linear regression, basic calculus-based probability and statistics skills, and math skills at the high-school level. All the numerical examples use the R statistical package without assuming the reader has previously used the software.

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Acerca del autor

Robert H. Shumway was Professor of Statistics, University of California, Davis. He was a Fellow of the American Statistical Association and won the American Statistical Association Award for Outstanding Statistical Application. He was the author of numerous texts and served on editorial boards such as the Journal of Forecasting and the Journal of the American Statistical Association.

David S. Stoffer is Professor Emeritus of Statistics, University of Pittsburgh. He is a Fellow of the American Statistical Association and has won the American Statistical Association Award for Outstanding Statistical Application. He was on the editorial boards of the Journal of Forecasting, the Annals of Statistical Mathematics, and the Journal of Time Series Analysis. He served as a Program Director in the Division of Mathematical Sciences at the National Science Foundation and as an Associate Editor for the Journal of the American Statistical Association and the Journal of Business & Economic Statistics. The authors have also published the more advanced Time Series Analysis and Its Application: With R Examples, Fifth Edition.

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Editorial
Chapman and Hall/CRC
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1041031645
ISBN 13 
9781041031642
Encuadernación
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Número de edición
2
Número de páginas
278
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781041031611: Time Series: A Data Analysis Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

Edición Destacada

ISBN 10:  1041031610 ISBN 13:  9781041031611
Editorial: Chapman and Hall/CRC, 2026
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