Numerical Issues in Statistical Computing for the Social Scientist - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical Issues in Statistical Computing for the Social Scientist write by Micah Altman. This book was released on 2004-02-15. Numerical Issues in Statistical Computing for the Social Scientist available in PDF, EPUB and Kindle. 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.
Bayesian Analysis for the Social Sciences
Bayesian Analysis for the Social Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Analysis for the Social Sciences write by Simon Jackman. This book was released on 2009-10-27. Bayesian Analysis for the Social Sciences available in PDF, EPUB and Kindle. Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.
Advances in Computer and Information Sciences and Engineering
Advances in Computer and Information Sciences and Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Computer and Information Sciences and Engineering write by Tarek Sobh. This book was released on 2008-08-15. Advances in Computer and Information Sciences and Engineering available in PDF, EPUB and Kindle. Advances in Computer and Information Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Advances in Computer and Information Sciences and Engineering includes selected papers from the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1
CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1 write by Sruthi. S. This book was released on . CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-1 available in PDF, EPUB and Kindle.
Ecological Inference
Ecological Inference - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ecological Inference write by Gary King. This book was released on 2004-09-13. Ecological Inference available in PDF, EPUB and Kindle. Drawing upon the recent explosion of research in the field, a diverse group of scholars surveys the latest strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays offers many fresh and important contributions to the study of ecological inference.
