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Ordinal Data Analysis Statistical by Dasgupta Nairanjana (11 results)
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Ordinal Data Analysis : Statistical Perspective With Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 93.14
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 539.
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Ordinal Data Analysis : Statistical Perspective With Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 109.82
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Ordinal Data Analysis : Statistical Perspective With Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
£ 105.68
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Ordinal Data Analysis : Statistical Perspective With Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
£ 111.94
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Hardcover. Condition: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
£ 148.96
Convert currency£ 2.25 shipping from U.S.A. to United KingdomQuantity: 2 available
Add to basketCondition: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Hardcover. Condition: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
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Ordinal Data Analysis: Statistical Perspective with Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 128.77
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Ordinal Data Analysis : Statistical Perspective with Applications
Published by Chapman And Hall/CRC, 2024
ISBN 10: 0367855909 ISBN 13: 9780367855901
Language: English
£ 121.08
Convert currency£ 12.19 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a step-by-step data story for analyzing ordinal data from start to finish. The book is for researchers, statisticians and scientists who are working with datasets where the response is ordinal. This type of data is common in many disciplines, not just in surveys (as is often thought). For example, in the biological sciences, there is an interest in understanding and predicting the (growth) stage (of a plant or animal) based on a multitude of factors. Likewise, ordinal data is common in environmental sciences (for example, stage of a storm), chemical sciences (for example, type of reaction), physical sciences (for example, stage of damage when force is applied), medical sciences (for example, degree of pain) and social sciences (for example, demographic factors like social status categorized in brackets). There has been no complete text about how to model an ordinal response as a function of multiple numerical and categorical predictors. There has always been a reluctance and reticence towards ordinal data as it lies in a no-man's land between numerical and categorical data. Examples from health sciences are used to illustrate in detail the process of how to analyze ordinal data, from exploratory analysis to modeling, to inference and diagnostics. This book also shows how Likert-type analysis is often used incorrectly and discusses the reason behind it. Similarly, it discusses the methods related to Structural Equations and talks about appropriate uses of this class of methods.The text is meant to serve as a reference book and to be a 'how-to' resource along with the 'why' and 'when' for modeling ordinal data.Key Features:Includes applications of the statistical theoryIncludes illustrated examples with the associated R and SAS codeDiscusses the key differences between the different methods that are used for ordinal data analysisBridges the gap between methods for ordinal data analysis used in different disciplines.
