Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 121,92
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 118,96
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 138,03
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 135,04
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Da: Revaluation Books, Exeter, Regno Unito
EUR 145,63
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Aggiungi al carrelloHardcover. Condizione: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 141,77
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,46
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 169,05
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Aggiungi al carrelloCondizione: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 178,60
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Aggiungi al carrelloHardcover. Condizione: Brand New. 216 pages. 9.19x6.13x9.21 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 134,96
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Aggiungi al carrelloBuch. Condizione: 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 152,27
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.