MARC details
000 -LEADER |
fixed length control field |
02301cam a2200313 i 4500 |
001 - CONTROL NUMBER |
control field |
22770754 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
NU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516141319.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220830t20232023njua 001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2022945423 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
978-0-13-758098-9 |
Qualifying information |
(paperback) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NU FAIRVIEW |
Transcribing agency |
NU FAIRVIEW |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA 279.5 C37 2023 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.5/42 |
Edition number |
23/eng/20230117 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Carlberg, Conrad George, |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Bayesian analysis with Excel and R / |
Statement of responsibility, etc. |
Conrad G. Carlberg. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
[Upper Saddle River, New Jersey?] : |
Name of producer, publisher, distributor, manufacturer |
Pearson Education, Inc., |
Date of production, publication, distribution, manufacture, or copyright notice |
c2023. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
©2023 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 169 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm. |
365 ## - TRADE PRICE |
Price amount |
3073.60 |
500 ## - GENERAL NOTE |
General note |
Includes index. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
Chapter 1 : Bayesian Analysis and R: An Overview. -- Chapter 2 : Generating Posterior Distributions with the Binomial Distribution. -- Chapter 3 : Understanding the Beta Distribution. -- Chapter 4 : Grid Approximation and the Beta Distribution. -- Chapter 5 : Grid Approximation with Multiple Parameters. -- Chapter 6 : Regression Using Bayesian Methods. -- Chapter 7 : Handling Nominal Variables. -- Chapter 8 : MCMC Sampling Methods. -- |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Leverage the full power of Bayesian analysis for competitive advantage. Bayesian methods can solve problems you can't reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel's Bayesian capabilities and move toward R to do even more. Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, provides downloadable Excel workbooks you can easily adapt to your own needs, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organization--and yourself."--Page 4 of cover. |
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
Uniform title |
MICROSOFT EXCEL (COMPUTER FILE) |
630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
Uniform title |
MICROSOFT EXCEL (COMPUTER FILE) |
Source of heading or term |
FAST |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
BAYESIAN STATISTICAL DECISION THEORY. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
(COMPUTER PROGRAM LANGUAGE) R. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Books |
Suppress in OPAC |
No |