Chapman & hall/crc texts in statistical science - 9780367553234 - analysis of categorical data with r di bilder, christopher r.; loughin, thomas m. (31 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
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hardcover. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Taylor & Francis Group, 2024
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Condizione: New. 2nd edition NO-PA16APR2015-KAP.
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Editore: Taylor & Francis Group, 2024
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Editore: CRC Press, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
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Editore: Chapman and Hall/CRC 2024-07-18, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: 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…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 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.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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Hardback. Condizione: 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 rati…o 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.
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: Chapman and Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. Condizione: 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 rati…o 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.
Lingua: Inglese
Editore: CRC Press, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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 .
Lingua: Inglese
Editore: TAYLOR & FRANCIS NP, 2025
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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- Edizione Internazionale
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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if t…he Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
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Hardback. Condizione: 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 rati…o 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.
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 172,04
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Hardcover. Condizione: Brand New. 2nd edition. 712 pages. 10.00x7.00x10.00 inches. In Stock.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: 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 rati…o 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condizione: 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…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 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.
Lingua: Inglese
Editore: Chapman And Hall/CRC Jul 2024, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Chapman & Hall, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 134,09
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Hardcover. Condizione: Brand New. 2nd edition. 712 pages. 10.00x7.00x10.00 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Chapman And Hall/CRC, 2024
Serie: Libro 106 di 59 - Chapman & Hall/CRC Texts in Statistical Science
- Rilegato
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 126,43
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 resp…onse 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.
