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| Author | : John Fox |
| Publisher | : SAGE |
| Total Pages | : 185 |
| Release | : 2009 |
| Genre | : Social Science |
| ISBN | : 1412960800 |
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods
| Author | : John Fox |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : Social sciences |
| ISBN | : 9781071878835 |
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression.
| Author | : John Fox |
| Publisher | : SAGE Publications |
| Total Pages | : 199 |
| Release | : 2021-01-11 |
| Genre | : Social Science |
| ISBN | : 1071833243 |
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.
| Author | : T. Rajaretnam |
| Publisher | : SAGE Publishing India |
| Total Pages | : 309 |
| Release | : 2015-12-08 |
| Genre | : Business & Economics |
| ISBN | : 9351506568 |
A comprehensive guide to the practical applications of statistics in social sciences This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences. Topical and up-to-date, it examines: • different types of statistical variables and their treatment • tabulation and graphical presentation of data • theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio • linear regression including checking for violation of assumptions, transformations of variables and predictions • inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others. It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.
| Author | : Jonathan Kropko |
| Publisher | : |
| Total Pages | : 392 |
| Release | : 2016 |
| Genre | : Social sciences |
| ISBN | : 9781506304199 |
| Author | : Will H. Moore |
| Publisher | : Princeton University Press |
| Total Pages | : 450 |
| Release | : 2013-08-11 |
| Genre | : Political Science |
| ISBN | : 0691159173 |
Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students
| Author | : Jeff Gill |
| Publisher | : Cambridge University Press |
| Total Pages | : 449 |
| Release | : 2006-04-24 |
| Genre | : Mathematics |
| ISBN | : 0521834260 |
"More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource."--BOOK JACKET.
| Author | : Sanford M. Dornbusch |
| Publisher | : |
| Total Pages | : 251 |
| Release | : 1988 |
| Genre | : Statistics |
| ISBN | : |
| Author | : Derek Rowntree |
| Publisher | : |
| Total Pages | : 199 |
| Release | : 1983 |
| Genre | : Statistics |
| ISBN | : |
| Author | : John Fox |
| Publisher | : SAGE Publications |
| Total Pages | : 612 |
| Release | : 2015-03-18 |
| Genre | : Social Science |
| ISBN | : 1483321312 |
Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author′s website. NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.
