[下载]硕士学位论文 农村居民食物消费结构变动及其对粮食需求影响的实证分析

[em17][em17][em17]

好样的hanszhu,赞一个．

虽然本人对于计量经济学不感兴趣，但是看到论坛上有这么多人为大家奉献资料．

实在是开心啊．

不要理会那些没事就到处乱回帖，喊书贵的，说自己穷的人，

他们没钱是因为他们既没上传过资料，也没宣传过论坛．．．．．．．．．

不为别人奉献，别人也没义务为你奉献

都是好书，尤其是Franco Peracchi的 Econometrics，我有这本英文原版，比较好懂。

不知道楼主的书是怎样下载

我一页一页保存好痛苦啊!!!

太贵了！不贵，我也没能力买啊！穷啊！

以下是引用zwen在2005-8-15 17:03:03的发言：

不知道楼主的书是怎样下载

我一页一页保存好痛苦啊!!!

1. Left Click the Icon"点击浏览该文件";

2. Click "保存"!

[此贴子已经被作者于2005-8-16 6:44:13编辑过]

以下是引用hanszhu在2005-8-16 6:41:22的发言：

1. Left Click the Icon"点击浏览该文件";

2. Click "保存"!

偶的意思是在netlibrary或wiley上怎样下载方便的??

另外能否列个书单给我,about statistics

thx!!!

[此贴子已经被作者于2005-8-16 11:33:11编辑过]

I have no idea!

[此贴子已经被作者于2005-8-18 10:04:52编辑过]

Applied Bayesian Modelling Peter Congdon ISBN: 0-471-48695-7 Hardcover 478 pages April 2003

CDN $155.99 The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS – a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example – explaining fully the choice of model for each particular problem. The book

· Provides a broad and comprehensive account of applied Bayesian modelling.

· Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications.

· Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology.

· Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site.

The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis.

Preface.

The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling.

Hierarchical Mixture Models.

Regression Models.

Analysis of Multi-Level Data.

Models for Time Series.

Analysis of Panel Data.

Models for Spatial Outcomes and Geographical Association.

Structural Equation and Latent Variable Models.

Survival and Event History Models.

Modelling and Establishing Causal Relations: Epidemiological Methods and Models.

Index.

[此贴子已经被作者于2005-8-22 10:25:18编辑过]

Understanding Regression Analysis-An Introductory Guide

Larry D. Schroeder:Syracuse University, New York; David L. Sjoquist: Georgia State University, Atlanta Paula E. Stephan: Georgia State University, Atlanta

Description:

Teaches the beginner how to read and understand material containing regression analysis. It does not teach the reader how to do regression analysis; rather, it walks the reader through elementary material using few equations or specialized jargon. The authors present a verbal intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. Thus, this book can be used by anyone who needs to understand the principles of regression analysis.

12054.rar (3.34 MB) 本附件包括：

• Ebook.Understanding Regression Analysis.pdf

2005-4-12 13:44:00 上传

[下载]Ebook.Understanding Regression Analysis

[此贴子已经被作者于2005-8-18 10:01:02编辑过]

ISBN: 0-471-12807-4 Hardcover 600 pages May 1998 CDN $154.99

Devised in the 19th century, Gauss and Jacobi Sums are classical formulas that form the basis for contemporary research in many of today's sciences. This book offers readers a solid grounding on the origin of these abstract, general theories. Though the main focus is on Gauss and Jacobi, the book does explore other relevant formulas, including Cauchy.

[此贴子已经被作者于2005-8-22 10:29:00编辑过]