9781032591971 - multivariate statistical methods: a primer di manly, bryan f. j.; navarro alberto, jorge a.; gerow, ken (34 risultati)
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Paperback. Condizione: New. Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous edi…tions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features. A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This book continues to be a great starting point for readers looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics. In this edition, we provide readers with conceptual introductions to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will help them to deepen their toolkit of multivariate statistical methods.
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Paperback. Condizione: new. Paperback. Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in p…revious editions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This book continues to be a great starting point for readers looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics. In this edition, we provide readers with conceptual introductions to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will help them to deepen their toolkit of multivariate statistical methods. For those looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics, provides conceptual intros to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will deepen toolkit of multivariate statistical methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condizione: New. Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous edi…tions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features. A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This book continues to be a great starting point for readers looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics. In this edition, we provide readers with conceptual introductions to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will help them to deepen their toolkit of multivariate statistical methods.
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Multivariate Statistical Methods: A Primer
Manly, Bryan F. J. (Author)/ Navarro Alberto, Jorge A. (Author)/ Gerow, Ken (Author)
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Multivariate Statistical Methods
Bryan F. J. Manly (University of Otago, Dunedin, New Zealand)|Jorge A. Navarro Alberto|Ken Gerow
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Condizione: New. Bryan F. J. Manly, PhD, was born in London, UK on May 27, 1944, and he is practically retired from academic work. His areas of interest are in statistical ecology, environmental statistics, computer intensive statistics..
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Paperback. Condizione: New. Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous edi…tions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features. A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This book continues to be a great starting point for readers looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics. In this edition, we provide readers with conceptual introductions to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will help them to deepen their toolkit of multivariate statistical methods.
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Taschenbuch. Condizione: Neu. Multivariate Statistical Methods | A Primer | Bryan F. J. Manly (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032591971 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis…[dot]com | Anbieter: preigu.
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Paperback. Condizione: New. Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details. In this fifth edition, all chapters have been revised and updated, with clearer and more direct language than in previous edi…tions, and with more up-to-date examples, exercises, and references, in areas as diverse as biology, environmental sciences, economics, social medicine, and politics.Features. A concise and accessible conceptual approach that requires minimal mathematical background. Suitable for a wide range of applied statisticians and professionals from the natural and social sciences. Presents all the key topics for a multivariate statistics course. The R code in the appendices has been updated, and there is a new appendix introducing programming basics for R. The data from examples and exercises are available on a companion website.This book continues to be a great starting point for readers looking to become proficient in multivariate statistical methods, but who might not be deeply versed in the language of mathematics. In this edition, we provide readers with conceptual introductions to methods, practical suggestions, new references, and a more extensive collection of R functions and code that will help them to deepen their toolkit of multivariate statistical methods.
