{
"item_title" : "Bayesian Methods",
"item_author" : [" Thomas Leonard", "John S. J. Hsu "],
"item_description" : "This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many new statistical methods, not available elsewhere. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/52/100/414/0521004144_b.jpg",
"price_data" : {
"retail_price" : "65.00", "online_price" : "65.00", "our_price" : "65.00", "club_price" : "65.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Bayesian Methods : An Analysis for Statisticians and Interdisciplinary Researchers
by Thomas Leonard and John S. J. Hsu
Other Available Formats
Overview
This exposition of the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students is unique in presenting its subject with a practical flavor and an emphasis on mainstream statistics. It shows how to infer scientific, medical, and social conclusions from numerical data. The authors draw on many years of experience with practical and research programs and describe many new statistical methods, not available elsewhere. It will be essential reading for all statisticians, statistics students, and related interdisciplinary researchers.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780521004145
- ISBN-10: 0521004144
- Publisher: Cambridge University Press
- Publish Date: August 2001
- Dimensions: 9.96 x 7.07 x 0.75 inches
- Shipping Weight: 1.64 pounds
- Page Count: 348
Related Categories
