A mathematical primer for social statistics /
"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 probabili...
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks, California :
SAGE Publications, Inc.,
[2021]
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| Edition: | Second edition. |
| Series: | Quantitative applications in the social sciences ;
no. 07-159. |
| Subjects: |
| 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"-- |
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| Item Description: | First edition published 2009. |
| Physical Description: | xxiii, 229 pages : illustrations ; 22 cm. |
| Bibliography: | Includes bibliographical references (pages 219-220) and index. |
| ISBN: | 9781071833209 1071833200 |