[springer 2008新书]information Criteria and Statistical Modeling

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Author:  Lovelock

185317.jpg (15.74 KB, 需要: 8 个论坛币)

2007-12-29 23:30:00 上传

[springer 2008新书]information Criteria and Statistical Modeling
需要: 8 个论坛币  [购买]

Springer,2008
185312.pdf (4.33 MB, 需要: 8 个论坛币)

2007-12-29 23:12:00 上传

[springer 2008新书]information Criteria and Statistical Modeling
需要: 8 个论坛币  [购买]

information Criteria and Statistical Modeling (Springer Series in Statistics)
By Sadanori Konishi, Genshiro Kitagawa+ t* R  @' ?; t6 u2 x1 o1 _( [8 ]
% `5 V: G  L1 S
--------------------------------------------------------------------------------
 i  T
Publisher: Springer
Number Of Pages: 276
Publication Date: 2007-10-12 0 a& D8 _$ Q/ _. P8 i* k) B
ISBN-10 / ASIN: 0387718869 6 M8 O0 z% i# I  D% K. F
ISBN-13 / EAN: 9780387718866
Binding: Hardcover % ~  \( B2 B! F1 t
% R; x$ ^. ~5 p/ g: Y
--------------------------------------------------------------------------------% m7 v& O" S& E- G/ }' g
0 f( }' [  |% M: ^
Book Description: 0 |* b& m*
  0 |*
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of the AIC have been reported in various fields of natural sciences, social sciences and engineering.3 C( Q, P2 u5 [( }6 W; V1 I
9 N# r, T( p# ~& ]( u1 S7 v' r' E  G7 H! {
One of the main objectives of this book is to provide comprehensive explanations of the concepts and derivations of the AIC and related criteria, including Schwarzs Bayesian information criterion (BIC), together with a wide range of practical examples of model selection and evaluation criteria. A secondary objective is to provide a theoretical basis for the analysis and extension of information criteria via a statistical functional approach. A generalized information criterion (GIC) and a bootstrap information criterion are presented, which provide unified tools for modeling and model evaluation for a diverse range of models, including various types of nonlinear models and model estimation procedures such as robust estimation, the maximum penalized likelihood method and a Bayesian approach.( T# B, K$ z2

[此贴子已经被angelboy于2008-7-29 16:29:09编辑过]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏6 回帖

关键词：Statistical information Informatio statistica statistic Modeling 新书 Springer information Criteria