24小时热门版块排行榜

>论坛更新日志 (2477)
>虫友互识 (42)
>导师招生 (37)
>基金申请 (33)
>考研 (30)
>硕博家园 (29)
>休闲灌水 (25)
>考博 (24)
>论文道贺祈福 (20)
>论文投稿 (20)
>教师之家 (19)
>公派出国 (15)
>找工作 (12)
>文献求助 (10)
>博后之家 (9)
>农林 (5)

返回列表

【奖励】本帖被评价1次，作者xiexie99增加金币 0.5 个

当前主题已经存档。

xiexie99

至尊木虫 (著名写手)

应助: 0 (幼儿园)
贵宾: 6.2
金币: 10782.2
帖子: 1758
在线: 44.1小时
虫号: 433986

[资源] 【转贴】Bayesian Statistical Modelling （2007）【已搜无重复】

Bayesian Statistical Modelling (Wiley Series in Probability and Statistics)

By Peter Congdon

Publisher: Wiley
Number Of Pages: 596
Publication Date: 2007-01-17
Sales Rank: 223511
ISBN / ASIN: 0470018755
EAN: 9780470018750
Binding: Hardcover
Manufacturer: Wiley
Studio: Wiley
Average Rating: 4

Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics.

Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets.

The second edition:

Provides an integrated presentation of theory, examples, applications and computer algorithms.
Discusses the role of Markov Chain Monte Carlo methods in computing and estimation.
Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences.
Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.
Provides exercises designed to help reinforce the reader’s knowledge and a supplementary website containing data sets and relevant programs.
Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students.

http://mihd.net/dsw8yq
http://rapidshare.com/files/6557 ... ling_0470018755.rar
pass: gigapedia.org

回复此楼