- Home
- Mathematics
- Probability & Statistics
- Bayesian Methods for Repeated Measures
Bayesian Methods for Repeated Measures
List Price:
$91.99
- Availability: Confirm prior to ordering
- Branding: minimum 50 pieces (add’l costs below)
- Check Freight Rates (branded products only)
Branding Options (v), Availability & Lead Times
- 1-Color Imprint: $2.00 ea.
- Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
- Belly-Band Wrap: $2.50 ea. (full-color printed)
- Set-Up Charge: $45 per decoration
- Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
- Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
- Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
- RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
Product Details
Author:
Lyle D. Broemeling
Format:
Paperback
Pages:
568
Publisher:
CRC Press (June 1, 2018)
Language:
English
ISBN-13:
9781138894044
Weight:
37.125oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260825151040711-20260825.xml
Folder:
TAYLORFRANCIS
List Price:
$91.99
Country of Origin:
United States
Series:
Chapman & Hall/CRC Biostatistics Series
Case Pack:
10
As low as:
$87.39
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Overview
This practical book presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for analyzing repeated measures in various scientific areas, especially biostatistics. The author bases all the computing and analysis on the WinBUGS package, which provides readers with a platform that efficiently uses prior information. The book includes the WinBUGS code needed to implement posterior analysis and offers the code for download online.
