9780367221096 - time series: a data analysis approach using r (chapman & hall/crc texts in statistical science) de shumway, robert h.; stoffer, david s. (23 resultados)
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Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: CRC Press 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Taylor & Francis Ltd, London 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: new. Hardcover. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential ap…plications to problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software. This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Taylor & Francis Ltd 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condición: New. 2019. 1st Edition. Hardcover. . . . . .
Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications t…o problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software.
Idioma: Inglés
Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Taylor and Francis Ltd, GB 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications t…o problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software.
Idioma: Inglés
Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editorial: Taylor & Francis Ltd 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Shumway, R: Time Series
Robert H. Shumway|David S. Stoffer (University of Pittsburgh, Pennsylvania, USA)
Idioma: Inglés
Editorial: CRC Press 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condición: New. Robert H. Shumway is Professor Emeritus of Statistics, University of California, Davis. He is a Fellow of the American Statistical Association and has won the American Statistical Association Award for Outstanding Statistical Application.
Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications t…o problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software.
Idioma: Inglés
Editorial: CRC Press Mai 2019 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Buch. Condición: Neu. Neuware - This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example.
Idioma: Inglés
Editorial: Chapman and Hall/CRC 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: GoldBooks, Denver, CO, Estados Unidos de AmericaGoldBooks
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Hardcover. Condición: new. New Copy. Customer Service Guaranteed.
Más imágenesIdioma: Inglés
Editorial: Taylor & Francis Ltd 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Buch. Condición: Neu. Time Series | A Data Analysis Approach Using R | David Stoffer (u. a.) | Buch | Chapman & Hall/CRC Texts in Statistical Science | Einband - fest (Hardcover) | Englisch | 2019 | Taylor & Francis Ltd | EAN 9780367221096 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[a…t]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Editorial: Taylor and Francis Ltd, GB 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications t…o problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, London 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 61 de 59. Libro 61 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: new. Hardcover. The goals of this text 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. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential ap…plications to problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis.Numerous examples using data illustrate solutions to 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. The text 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 skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software. This textbook is designed for an introductory time series course where the prerequisites are an understanding of linear regression and some basic probability skills. All of the numerical examples were done using the R statistical package, and the code is typically listed at the end of an example. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Chapman & Hall 2019
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 62 de 59. Libro 62 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: Brand New. 259 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.
