Skip to content

Mathematical Primer for Social Statistics

Best in textbook rentals since 2012!

ISBN-10: 1412960800

ISBN-13: 9781412960809

Edition: 2009

Authors: John Fox

List price: $30.00
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

A Mathematical Primer for Social Statistics: Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. It is, however, surprising how far one can go with a relatively modest mathematical background. The proposed monograph aims to provide that background, introducing the areas of mathematics that are most centrally important to applied social statistics: matrices, linear algebra, and vector geometry; basic differential and integral calculus, including multivariable and matrix calculus, and the application of calculus to optimization problems; and probability and estimation, including the basics of…    
Customers also bought

Book details

List price: $30.00
Copyright year: 2009
Publisher: SAGE Publications, Incorporated
Publication date: 7/29/2008
Binding: Paperback
Pages: 184
Size: 5.56" wide x 8.56" long x 0.25" tall
Weight: 0.682
Language: English

John Fox is the Senator William McMaster Professor of Social Statistics in the Sociology Department of McMaster University in Hamilton, Ontario, Canada. Professor Fox earned a Ph.D. in sociology from the University of Michigan in 1972. He has delivered numerous lectures and workshops on statistical topics, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the annual meetings of the American Sociological Association, and the Oxford Spring School in Quantitative Methods for Social Research. He has written many articles on statistics, sociology, and social psychology, and is the author of several books on statistics, including most…    

Series Editor Introduction
Preface
Matrices, Linear Algebra, Vector Geometry
An Introduction to Calculus
Probability and Estimation
Putting the Math to Work
References
Index