Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Data Analysis: A Bayesian Tutorial by Sivia, D. S.
by Sivia, D. S. | PB | Good
US $28.75
ApproximatelyS$ 37.25
Condition:
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ”... Read moreabout condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
Last one1 sold
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
Free Economy Shipping.
Located in: Aurora, Illinois, United States
Delivery:
Estimated between Tue, 14 Oct and Mon, 20 Oct to 94104
Returns:
30 days return. Seller pays for return shipping.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:146597658510
Item specifics
- Condition
- Good
- Seller Notes
- Binding
- Paperback
- Book Title
- Data Analysis
- Weight
- 0 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780198518891
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0198518897
ISBN-13
9780198518891
eBay Product ID (ePID)
586818
Product Key Features
Number of Pages
200 Pages
Language
English
Publication Name
Data Analysis : a Bayesian Tutorial
Subject
Mechanical, Probability & Statistics / Bayesian Analysis
Publication Year
1996
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Uk-Trade Paper
Dimensions
Item Height
0.3 in
Item Weight
11.3 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Intended Audience
College Audience
LCCN
96-005426
Dewey Edition
20
Reviews
"This book is designed to be a guide to the Bayesian approach. It is certainly not an all-encompassing textbook on the subject but rather describes for the reader how one can use the Bayesian approach for standard data analyses. . . .Well written and at a modest technical level (senior undergraduate)." --Technometrics"Sivia's tutorial explains the Bayesian approach for analyzing experimental data. In particular, stress is placed on modern developments such as maximum entropy."--Choice, "This book is designed to be a guide to the Bayesian approach. It is certainly not an all-encompassing textbook on the subject but rather describes for the reader how one can use the Bayesian approach for standard data analyses. . . .Well written and at a modest technical level (senior undergraduate)." -- Technometrics "Sivia's tutorial explains the Bayesian approach for analyzing experimental data. In particular, stress is placed on modern developments such as maximum entropy."-- Choice, '...covers a broad range of applications of Bayesian methods at a fairly high mathematical level.'Robert Matthews, New Scientist, September 1996, "This book is designed to be a guide to the Bayesian approach. It is certainly not an all-encompassing textbook on the subject but rather describes for the reader how one can use the Bayesian approach for standard data analyses. . . .Well written and at a modest technical level (senior undergraduate)." --Technometrics "Sivia's tutorial explains the Bayesian approach for analyzing experimental data. In particular, stress is placed on modern developments such as maximum entropy."--Choice, ... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures.
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
1. The basics2. Parameter Estimation I3. Parameter Estimation II4. Model Selection5. Assigning Probabilities6. Non-parametric Estimation7. Experimental DesignAppendix
Synopsis
This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy, and experimental design. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.
LC Classification Number
QA279.5.S55 1996
Item description from the seller
Seller feedback (5,840,448)
This item (1)
All items (5,840,448)
- Automatische feedback van eBay- Feedback left by buyer.Past monthBestelling op tijd geleverd zonder problemen
- Automatische feedback van eBay- Feedback left by buyer.Past monthBestelling op tijd geleverd zonder problemen
- a***_ (3439)- Feedback left by buyer.Past monthVerified purchaseCondition as described, great value, thanks!
- l***b (488)- Feedback left by buyer.Past monthVerified purchaseRed in excellent condition.
Seller feedback (5,840,448)
This item (1)
All items (5,840,448)
- Automatische feedback van eBay- Feedback left by buyer.Past monthBestelling op tijd geleverd zonder problemen
- Automatische feedback van eBay- Feedback left by buyer.Past monthBestelling op tijd geleverd zonder problemen
- a***_ (3439)- Feedback left by buyer.Past monthVerified purchaseCondition as described, great value, thanks!
- l***b (488)- Feedback left by buyer.Past monthVerified purchaseRed in excellent condition.