ISBN: 9781107003149 - statistical modeling and inference for social science (analytical methods for social research) (24 resultados)

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Hardcover. Condición: Very Good. Statistical Modeling and Inference for Social Science (Analytical Methods for Social Research) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

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hardcover. Condición: New. In shrink wrap.

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Condición: New. In English.

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Condición: New. pp. 388.

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Condición: New. This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research. Series: Analytical Methods for Social Research. Num Pages: 388 pages, 18 b/w illus. 18 tables. BIC Classification: GPS; JHBC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 237 x 161 x 26. Weight in Grams: 652. . 2014. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.…

Condición: New. This textbook is an introduction to probability theory, statistical inference and statistical modeling for graduate students and practitioners beginning social science research. Series: Analytical Methods for Social Research. Num Pages: 388 pages, 18 b/w illus. 18 tables. BIC Classification: GPS; JHBC. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 237 x 161 x 26. Weight in Grams: 652. . 2014. Hardcover. . . . .…

Hardcover. Condición: Brand New. 373 pages. 9.00x6.25x1.00 inches. In Stock.

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Condición: New. Print on Demand pp. 388 18 Illus.

Condición: New. PRINT ON DEMAND pp. 388.

Hardcover. Condición: new. Hardcover. Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest. Written specifically for graduate students and practitioners beginning social science research, this textbook introduces the essential statistical tools, models and theories that make up the social scientist's toolkit. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard demonstrates how social scientists assess relationships between variables. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Inhaltsverzeichnis1. Introduction 2. Descriptive statistics: data and information 3. Observable data and data-generating processes 4. Probability theory: basic properties of data-generating processes 5. Expectation and moments: summa.…

Buch. Condición: Neu. Statistical Modeling and Inference for Social Science | Sean Gailmard | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9781107003149 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…