| 000 -LEADER |
|---|
| fixed length control field |
02604cam a2200373 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
19486140 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20180621151209.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170127t20172017enka b 001 0 eng c |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2016059505 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781316642214 (pbk. : alk. paper ) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
OU/DLC |
| Language of cataloging |
eng |
| Transcribing agency |
OU |
| Description conventions |
rda |
| Modifying agency |
DLC |
| -- |
NCRA |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QC20.7.B38 |
| Item number |
B35 2017 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
519.234 JON |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bailer-Jones, Coryn A. L., |
| Relator term |
author. |
| 9 (RLIN) |
2123 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Practical Bayesian inference : |
| Remainder of title |
a primer for physical scientists / |
| Statement of responsibility, etc |
Coryn A.L. Bailer-Jones, Max Planck Institute for Astronomy, Heidelberg. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
ix, 295 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (pages 289-209) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Probability basics -- Estimation and uncertainty -- Statistical models and inference -- Linear models, least squares, and maximum likelihood -- Parameter estimation: single parameter -- Parameter estimation: multiple parameters -- Approximating distributions -- Monte Carlo methods for inference -- Parameter estimation: Markov Chain Monte Carlo -- Frequentist hypothesis testing -- Model comparison -- Dealing with more complicated problems. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It comes from noise in our measurements: we cannot measure exactly. It comes from sampling effects: we cannot measure everything. It comes from complexity: data may be numerous, high dimensional, and correlated, making it difficult to see structures. This book is an introduction to statistical methods for analysing data. It presents the major concepts of probability and statistics as well as the computational tools we need to extract meaning from data in the presence of uncertainty"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian statistical decision theory. |
| 9 (RLIN) |
11156 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical physics. |
| 9 (RLIN) |
690 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |