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A mathematical primer for social statistics / John Fox.

LIBRA H61.25 .F69 2021
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Format:
Book
Author/Creator:
Fox, John, 1947- author.
Contributor:
Sage (Firm)
Series:
Quantitative applications in the social sciences ; no. 07-159.
Quantitative applications in the social sciences ; volume 159
Language:
English
Subjects (All):
Social sciences--Mathematics.
Social sciences.
Social sciences--Statistical methods.
Physical Description:
xxiii, 229 pages : illustrations ; 22 cm.
Edition:
Second edition.
Place of Publication:
Thousand Oaks, California: SAGE Publications, Inc. [2021]
Summary:
"A Mathematical Primer for Social Statistics, Second Edition is organized around bodies of mathematical knowledge central to learning and understanding advanced statistics: the basic "language" of linear algebra; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference. The volume concludes showing the application of mathematical concepts and operations to the familiar case, linear least-squares regression. The Second Edition gives much more attention to visualization. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods. Also included is a companion website with materials that will enable readers to use the R statistical computing environment to reproduce and expand on computations presented in the volume. The book will make an excellent text to accompany a math camp or a course designed to provide foundational mathematics needed to understand advanced statistics. It will also serve as a valuable reference for those who have completed their formal training but are still interested in learning new statistical methods"-- Provided by publisher.
Contents:
Matrices, linear Algebra, and vector Geometry: The basics
Matrix decompositions and quadratic forms
An introduction to Calculus
Elementary Probability Theory
Common probability distributions
An introduction to Statistical Theory
Putting the math to work: Linear Least-squares Regression.
Notes:
First edition published 2009.
Includes bibliographical references and index.
ISBN:
9781071833209
1071833200
OCLC:
1178868042

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