Multivariate Statistical Methods by Navarro Alberto (27 results)

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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

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Paperback. Condition: 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 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.…

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Paperback. Condition: Brand New. 5th edition. 334 pages. 9.19x6.13x9.21 inches. In Stock.

Condition: 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..

Paperback. Condition: 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 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.…

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Hardback. Condition: 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 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.…

Hardcover. Condition: Brand New. 5th edition. 334 pages. 9.19x6.13x9.21 inches. In Stock.

Hardback. Condition: 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 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.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. 294 pp. Englisch. …

Paperback. Condition: Brand New. 5th edition. 334 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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..…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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.…