{"product_id":"9780471236337","title":"Numerical Issues in Statistical Computing for the Social Scientist","description":"\u003ch3\u003eWiley Series in Probability and Statistics\u003c\/h3\u003e\u003ch1\u003eNumerical Issues in Statistical Computing for the Social Scientist\u003c\/h1\u003e\u003ch3\u003eMicah Altman | Jeff Gill | Michael P. McDonald\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eAt last—a social scientist's guide through the pitfalls of modern statistical computing\u003c\/b\u003e \u003cp\u003eAddressing 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.\u003c\/p\u003e \u003cp\u003eUniquely 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.\u003c\/p\u003e \u003cp\u003eHighlights include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA focus on problems occurring in maximum likelihood estimation\u003c\/li\u003e \u003cli\u003eIntegrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®)\u003c\/li\u003e \u003cli\u003eA guide to choosing accurate statistical packages\u003c\/li\u003e \u003cli\u003eDiscussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis\u003c\/li\u003e \u003cli\u003eEmphasis on specific numerical problems, statistical procedures, and their applications in the field\u003c\/li\u003e \u003cli\u003eReplications and re-analysis of published social science research, using innovative numerical methods\u003c\/li\u003e \u003cli\u003eKey numerical estimation issues along with the means of avoiding common pitfalls\u003c\/li\u003e \u003cli\u003eA 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\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDesigned 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.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cb\u003eMICAH ALTMAN\u003c\/b\u003e is Associate Director of the Harvard-MIT Data Center in Cambridge, Massachusetts.  \u003cp\u003e\u003cb\u003eJEFF GILL\u003c\/b\u003e is Associate Professor of Political Science at the University of California, Davis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMICHAEL P. McDONALD\u003c\/b\u003e is Assistant Professor of Government and Politics at George Mason University in Fairfax, Virginia.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e18 December 2003\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471236337\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e21.76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44310854303884,"sku":"9780471236337","price":180.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471236337.jpg?v=1780204304","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780471236337","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}