Bayesian statistics for beginners : (Record no. 19322)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02781cam a2200325 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 20857861 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230201160407.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190219s2019 enka b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2019934655 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780198841302 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Transcribing agency | DLC |
| Description conventions | rda |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.542 LUN |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Donovan, Therese M. |
| Fuller form of name | (Therese Marie), |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Bayesian statistics for beginners : |
| Remainder of title | a step-by-step approach / |
| Statement of responsibility, etc. | Therese M. Donovan, Ruth M. Mickey. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Oxford, United Kingdom : |
| Name of producer, publisher, distributor, manufacturer | Oxford University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 419 pages : |
| Other physical details | illustrations (chiefly color) ; |
| Dimensions | 26 cm |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (pages 399-401) and indexes. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Section 1<br/>Basics of Probability<br/>1: Introduction to Probability<br/>2: Joint, Marginal, and Conditional Probability<br/>Section 2<br/>Bayes' Theorem and Bayesian Inference<br/>3: Bayes' Theorem<br/>4: Bayesian Inference<br/>5: The Author Problem - Bayesian Inference with Two Hypotheses<br/>6: The Birthday Problem: Bayesian Inference with Multiple Discrete Hypotheses<br/>7: The Portrait Problem: Bayesian Inference with Joint Likelihood<br/>Section 3<br/>Probability Functions<br/>8: Probability Mass Functions<br/>9: Probability Density Functions<br/>Section 4<br/>Bayesian Conjugates<br/>10: The White House Problem: The Beta-Binomial Conjugate<br/>11: The Shark Attack Problem: The Gamma-Poisson Conjugate<br/>12: The Maple Syrup Problem: The Normal-Normal Conjugate<br/>Section 5<br/>Markov Chain Monte Carlo<br/>13: The Shark Attack Problem Revisited: MCMC with the Metropolis Algorithm<br/>14: MCMC Diagnostic Approaches<br/>15: The White House Problem Revisited: MCMC with the Metropolis-Hastings Algorithm<br/>16: The Maple Syrup Problem Revisited: MCMC with Gibbs Sampling<br/>Section 6<br/>Applications<br/>17: The Survivor Problem: Simple Linear Regression with MCMC<br/>18: The Survivor Problem Continued: Introduction to Bayesian Model Selection<br/>19: The Lorax Problem: Introduction to Bayesian Networks<br/>20: The Once-ler Problem: Introduction to Decision Trees<br/>Appendices<br/>Appendix 1: The Beta-Binomial Conjugate Solution<br/>Appendix 2: The Gamma-Poisson Conjugate Solution<br/>Appendix 3: The Normal-Normal Conjugate Solution<br/>Appendix 4: Conjugate Solutions for Simple Linear Regression<br/>Appendix 5: The Standardization of Regression Data |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bayesian statistical decision theory. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mickey, Ruth M., |
| Dates associated with a name | 1954- |
| Relator term | author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Reference text books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | R-21/2 | All India Institute of Speech and Hearing | All India Institute of Speech and Hearing | 01/02/2023 | 519.542 LUN | 23266 | 01/02/2023 | 01/02/2023 | Reference text books |