Bayesian statistics for beginners: (Record no. 6146)

MARC details
000 -LEADER
fixed length control field 02008nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240328171644.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240224b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780198841302
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Item number DON
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Donovan, Therese M.
245 ## - TITLE STATEMENT
Title Bayesian statistics for beginners:
Remainder of title a step-by-step approach
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Oxford University Press
Place of publication, distribution, etc. Oxford
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent x, 419 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 52.00
520 ## - SUMMARY, ETC.
Summary, etc. Bayesian Statistics for Beginners is an entry-level book on Bayesian statistics. It is like no other math book you’ve read. It is written for readers who do not have advanced degrees in mathematics and who may struggle with mathematical notation, yet need to understand the basics of Bayesian inference for scientific investigations. Intended as a “quick read,” the entire book is written as an informal, humorous conversation between the reader and writer—a natural way to present material for those new to Bayesian inference. The most impressive feature of the book is the sheer length of the journey, from introductory probability to Bayesian inference and applications, including Markov Chain Monte Carlo approaches for parameter estimation, Bayesian belief networks, and decision trees. Detailed examples in each chapter contribute a great deal, where Bayes’ Theorem is at the front and center with transparent, step-by-step calculations. A vast amount of material is covered in a lighthearted manner; the journey is relatively pain-free. The book is intended to jump-start a reader’s understanding of probability, inference, and statistical vocabulary that will set the stage for continued learning. Other features include multiple links to web-based material, an annotated bibliography, and detailed, step-by-step appendices.<br/><br/>(https://academic.oup.com/book/41940)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomathematics and Statistics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mickey, Ruth M.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification
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 SBHP/INV/1268/2023-2024 10-02-2024 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 02/24/2024 Sarat Book House Pvt. Ltd. 3647.02   519.542 DON 006225 02/24/2024 1 5610.80 02/24/2024 Book

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

Powered by Koha