Isbn: 9780471236337 - statistical computing social scientist: 431 (wiley series in probability and statistics) (25 resultados)

Hardcover. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Condición: Very Good. Statistical Computing Social Scientist: 431 (Wiley Series in Probability and Statistics) 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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Condición: Used: Very Good. Occasion - Très Bon Etat - Numerical issues in statistical computing for the social scientist (2004) - Grand Format.

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hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Condición: As New. Unread book in perfect condition.

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Condición: New. In English.

Condición: New. pp. xv + 323 Illus.

Condición: New. Serving as a "bridge" to prepare social scientists and students for professional-level use of statistics, this volume outlines the main numerical estimations issues along with various means of avoiding specific common pitfalls. Series: Wiley Series in Probability and Statistics. Num Pages: 324 pages, Illustrations. BIC Classification: JHBC; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 243 x 162 x 20. Weight in Grams: 614. . 2003. 1st Edition. Hardcover. . . . .…

Condición: New. pp. xv + 323.

Gebunden. Condición: New. Serving as a bridge to prepare social scientists and students for professional-level use of statistics, this volume outlines the main numerical estimations issues along with various means of avoiding specific common pitfalls.&Uumlber den Autor.

Hardcover. Condición: Brand New. 1st edition. 323 pages. 9.25x6.25x0.75 inches. In Stock.

Buch. Condición: Neu. Neuware - At last-a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimation Integrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®) A guide to choosing accurate statistical packages Discussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statistical procedures, and their applications in the field Replications and re-analysis of published social science research, using innovative numerical methods Key numerical estimation issues along with the means of avoiding common pitfalls A related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field.…

Condición: New. Serving as a "bridge" to prepare social scientists and students for professional-level use of statistics, this volume outlines the main numerical estimations issues along with various means of avoiding specific common pitfalls. Series: Wiley Series in Probability and Statistics. Num Pages: 324 pages, Illustrations. BIC Classification: JHBC; PBT; PBW. Category: (P) Professional & Vocational. Dimension: 243 x 162 x 20. Weight in Grams: 614. . 2003. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condición: new. Hardcover. At lasta social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimationIntegrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB)A guide to choosing accurate statistical packagesDiscussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysisEmphasis on specific numerical problems, statistical procedures, and their applications in the fieldReplications and re-analysis of published social science research, using innovative numerical methodsKey numerical estimation issues along with the means of avoiding common pitfallsA related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field. Serving as a "bridge" to prepare social scientists and students for professional-level use of statistics, this volume outlines the main numerical estimations issues along with various means of avoiding specific common pitfalls. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 1st edition. 323 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 696.

Condición: New. PRINT ON DEMAND pp. xv + 323.