Isbn: 9781041031611 - time series: a data analysis approach using r (chapman & hall/crc texts in statistical science) (23 resultados)

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: As New. Unread book in perfect condition.

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Condición: As New. Unread book in perfect condition.

hardcover. Condición: New.

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Condición: New. 2026. 2nd Edition. hardcover. . . . . .

Condición: New.

Hardcover. Condición: new. Hardcover. 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. The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardback. Condición: New. 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.…

Hardback. Condición: New. 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.…

Hardcover. Condición: new. Hardcover. 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. The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Condición: New. 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 o.

Hardcover. Condición: Brand New. 2nd edition. 288 pages. 9.18x6.12x9.45 inches. In Stock.

Buch. Condición: Neu. Neuware - 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.…

Condición: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condición: New. 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.…

Buch. Condición: Neu. Time Series | A Data Analysis Approach Using R | Robert H Shumway (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041031611 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Hardback. Condición: New. 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.…

Hardcover. Condición: new. Hardcover. 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. The goals of the 2nd edition are to develop the skills and an appreciation for the versatility of modern time series analysis as a tool for analyzing dependent data. This edition emphasizes a variety of methodological techniques to illustrate solutions to data analysis problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…