9780367553234 - analysis of categorical data with r (chapman & hall/crc texts in statistical science) de bilder, christopher r.; loughin, thomas m. (33 resultados)
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condición: new. Hardcover. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such a…s odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chaptergroup testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise. Substantial update from the first edition based on experience of teaching from the book for nearly a decade. Organized as before, but two new substantive topics in the advanced topics chapter group testing and splines. Computing has been completely updated, with the "emmeans" [CB1] package now integrated into the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio… and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors' experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter-group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.
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Editorial: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio… and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors' experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter-group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.
Idioma: Inglés
Editorial: CRC Press, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condición: New. Christopher R. Bilder is a Professor in the Department of Statistics at the University of Nebraska-Lincoln. Bilder has been the Principal Investigator for grants from the National Science Foundation and the National Institutes of Health involving .
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Editorial: Taylor and Francis Ltd, GB, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio… and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors' experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter-group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.
Idioma: Inglés
Editorial: Chapman & Hall, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 2nd edition. 712 pages. 10.00x7.00x10.00 inches. In Stock.
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Editorial: Taylor and Francis Ltd, GB, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardback. Condición: New. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio… and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors' experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter-group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise.
Idioma: Inglés
Editorial: Taylor & Francis Ltd, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such a…s odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chaptergroup testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise. Substantial update from the first edition based on experience of teaching from the book for nearly a decade. Organized as before, but two new substantive topics in the advanced topics chapter group testing and splines. Computing has been completely updated, with the "emmeans" [CB1] package now integrated into the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Chapman and Hall/CRC, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condición: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Editorial: Chapman And Hall/CRC Jul 2024, 2024
Serie: Chapman & Hall/CRC Texts in Statistical Science, Libro 106 de 59. Libro 106 de 59 - Chapman & Hall/CRC Texts in Statistical Science
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count…response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The second edition is a substantial update of the first based on the authors' experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter-group testing and splines. The computing has been completely updated, with the 'emmeans' package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated.Features:Requires no prior experience with R, and offers an introduction to the essential features and functions of RIncludes numerous examples from medicine, psychology, sports, ecology, and many other areasIntegrates extensive R code and outputGraphically demonstrates many of the features and properties of various analysis methodsOffers a substantial number of exercises in all chapters, enabling use as a course text or for self-studySupplemented by a website with data sets, code, and teaching videosAnalysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner and would make an ideal reference for a researcher from any discipline where categorical data arise. 706 pp. Englisch.
