A mathematical primer for social statistics (Record no. 4113)

MARC details
000 -LEADER
fixed length control field 02191nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221013125025.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221013b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781071833209
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Item number FOX
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Fox, John
245 ## - TITLE STATEMENT
Title A mathematical primer for social statistics
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Sage Publications, Inc.
Place of publication, distribution, etc. California
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 229 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 30.00
490 ## - SERIES STATEMENT
Series statement Quantitative Applications in the Social Sciences
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of content<br/><br/>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
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences--Mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences--Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques IN155 06-10-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 10/13/2022 Bharatiya Sahitya Bhavana 1631.26   519.5 FOX 003326 10/13/2022 1 2481.00 10/13/2022 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha