Idioma: Inglés
Publicado por Wiley-Interscience (edition 1), 2003
ISBN 10: 0471236330 ISBN 13: 9780471236337
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Añadir al carritoCondición: New. pp. xv + 323 Illus.
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Añadir al carritoCondición: New. pp. xv + 323.
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Añadir al carritoCondición: 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. . . . .
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Añadir al carritoGebunden. 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.Über den Autor.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 323 pages. 9.25x6.25x0.75 inches. In Stock.
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Añadir al carritoCondición: 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.
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Añadir al carritoBuch. Condición: Neu. Neuware - At last-a social scientist s guide through the pitfalls of modern statistical computingAddressing 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.
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Añadir al carritoHardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Añadir al carritoCondición: Used: Very Good. Occasion - Très Bon Etat - Numerical issues in statistical computing for the social scientist (2004) - Grand Format.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2004
ISBN 10: 0471236330 ISBN 13: 9780471236337
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición Impresión bajo demanda
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Añadir al carritoHardcover. 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.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 323 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 696.