[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

楼主，有没有这本书呀？Econometric Analysis of Panel Data, 3rd Edition Badi H. Baltagi ISBN: 0-470-01456-3 Paperback 314 pages July 2005 Wiley

Website for CATEGORICAL DATA ANALYSIS, 2nd edition

For the second edition of Categorical Data Analysis by Alan Agresti (Wiley, 2002), this site contains (1) information on the use of other software (such as R and S-plus, Stata, SPSS, StatXact and LogXact) not covered in Appendix A of the text (which discusses SAS in some detail), (2) data sets for examples in the form of complete SAS programs for conducting the analyses, (3) data sets used in some of the homework exercises, (4) short answers for many of the odd-numbered exercises, (5) extra exercises, and (6) corrections of errors in early printings of the book. Also, there's (7) a review paper about Bayesian methods for categorical data analysis.

1. Software for categorical data analyses: Here is a file containing information and links for several software packages as well as a link to a manual by Dr. Laura Thompson for using S-Plus and R to perform the examples in the text.

• Software

2. Primary datasets: For data sets for many of the main examples in the text, in the form of SAS programs for conducting the analyses, click on

• Primary datasets

3. Other datasets not shown in text: Here is a pdf file of

• other datasets used in some of the homework exercises for which tables are not shown in the text.

Here is a html file of these

• other datasets.

4. Selected answers: Here is a pdf file of short

• solutions for many of the odd-numbered exercises at the ends of the chapters:

5. Additional exercises: Here is a pdf file containing

• Extra exercises

6. Corrections: Here is a pdf file showing

• corrections of typos in early printings of the second edition.

7. Finally, for those of you with interest in the Bayesian approach to inference -- I had intended to include a chapter in the second edition on Bayesian analyses for categorical data analysis (to beef up the short section in Chapter 15), but the book just became too long. However, David Hitchcock (Statistics Dept., Univ. of South Carolina) and I have written a survey paper about such methods:

• Bayesian inference for categorical data analysis: A survey

[此贴子已经被作者于2005-8-22 10:12:46编辑过]

Jerome L. Myers, Arnold D. Well:Research Design and Statistical Analysis

List Price:

$79.95

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Intended both as a textbook for students and as a resource for researchers, this book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands:

• the underlying logic and assumptions of the analysis and what it tells them;
• the limitations of the analysis; and
• the possible consequences of violating assumptions.

Using an intuitive, informal style, the authors adopt a "bottom-up" approach--a simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply. Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology. The second edition features a greater emphasis on:

• Graphics--Two early chapters are now largely devoted to examples and discussion of displays of data and there are more graphs throughout.
• Confidence Intervals--Now presented before hypothesis tests to help focus on the question "what is the size of the effect" rather than "is there an effect."
• Measures of Effect Size--Now are introduced earlier, in the context of the t test, and then are routinely discussed in a variety of research designs and analyses.
• Power Analysis--Computer programs are now used to illustrate the calculation of power.
• Tests of Contrasts--Now are introduced earlier (ch.6) as extensions of the usual two-sample t tests in order to simplify the discussion.
• Elementary Probability--A new chapter on basic probability serves as a review and a means for using the binomial distribution to introduce hypothesis testing.
• Correlation and Regression--Now introduced earlier (ch. 3) and with an increased emphasis on the most frequent misinterpretations made when using these analyses.
• Real Data Sets--Includes a FREE CD, that contains several artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.

Contents

• Preface.
• Introduction.
• Looking at Data: Univariate Distributions.
• Variables.
• Probability and the Binomial Distribution.
• Estimation and Hypothesis Tests: The Normal Distribution.
• Estimation, Hypothesis Tests, and Effect Size: The t Distribution.
• The Chi Square and F Distributions.
• Between Subjects Designs: One Factor.
• Contrasts Among Means.
• Trend Analysis. Multifactor Between-Subjects Designs: Significance Tests in the Two-Way Case.
• Multifactor Between-Subjects Designs: Further Developments.
• Repeated-Measures Designs.
• Mixed Designs: Between-Subjects and Within-Subjects Factors.
• Using Concomitant Variables to Increase Power: Blocking and Analysis of Covariance.
• Hierarchical Designs.
• Latin Squares and Related Designs.
• More About Correlation.
• More About Bivariate Regression.
• Multiple Regression.
• Regression With Categorical and Quantitative Variables: The General Linear Model.
• Appendices: Notation and Summation Operations.
• Expected Values and Their Applications.

[此贴子已经被作者于2005-8-22 10:15:10编辑过]

太贵了。

这么多好书，如果便宜点，可能能赚更多的点数

开什么玩笑，本本书都这么贵，明摆着让人眼热不让人共享嘛

Advanced Calculus with Applications in Statistics (Wiley Series in Probability and Statistics) by André I. Khuri

Editorial Reviews

From Book News, Inc. A graduate textbook for a two-semester course in advanced calculus and mathematical analysis. Khuri (statistics, University of Florida) reviews the concepts of set theory, limits, functions, differentiation, and infinite series, and presents some applications in statistics. The second edition adds three chapters on orthogonal polynomials, Fourier series, and approximation of integrals.Copyright © 2004 Book News, Inc., Portland, ORBook Description Praise for the First Edition

"An enticing approach to the subject. . . . Students contemplating a career in statistics will acquire a valuable understanding of the underlying structure of statistical theory. . . statisticians should consider purchasing it as an additional reference on advanced calculus." –Journal of the American Statistical Association

"This book is indeed a pleasure to read. It is simple to understand what the author is attempting to accomplish, and to follow him as he proceeds. . . . I would highly recommend the book for one’s personal collection or suggest your librarian purchase a copy." –Journal of the Operational Research Society

Knowledge of advanced calculus has become imperative to the understanding of the recent advances in statistical methodology. The First Edition of Advanced Calculus with Applications in Statistics has served as a reliable resource for both practicing statisticians and students alike. In light of the tremendous growth of the field of statistics since the book’s publication, André Khuri has reexamined his popular work and substantially expanded it to provide the most up-to-date and comprehensive coverage of the subject.

Retaining the original’s much-appreciated application-oriented approach, Advanced Calculus with Applications in Statistics, Second Edition supplies a rigorous introduction to the central themes of advanced calculus suitable for both statisticians and mathematicians alike. The Second Edition adds significant new material on:

• Basic topological concepts
• Orthogonal polynomials
• Fourier series
• Approximation of integrals
• Solutions to selected exercises

The volume’s user-friendly text is notable for its end-of-chapter applications, designed to be flexible enough for both statisticians and mathematicians. Its well thought-out solutions to exercises encourage independent study and reinforce mastery of the content. Any statistician, mathematician, or student wishing to master advanced calculus and its applications in statistics will find this new edition a welcome resource.

[此贴子已经被作者于2005-8-22 10:18:04编辑过]

too expensive, please get down a little, all of us will appreciate you, I want

Advanced Calculus with Applications in Statistics (Wiley Series in Probability and Statistics

Research Design and Statistical Analysis

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Prism 4 for Windows and Macintosh

GraphPad Prism is a powerful combination of basic biostatistics, curve fitting and scientific graphing in one comprehensive program. Because it helps you organize, analyze and graph repeated experiments; pick appropriate statistical tests; and interpret the results, Prism is ideally suited to data plotting and analysis applications in the life sciences

What makes Prism truly unique, however, is not just what it does, but how it does it! Designed for laboratory and clinical researchers, Prism doesn't expect you to be a statistician. It guides you through the analysis process – giving you as much help as you need – and tracks and organizes your work like no other program available. You can concentrate on your data, not on figuring out how to use the program.

21734.rar (10.1 MB, 需要: 100 个论坛币)

2005-8-4 09:18:00 上传

[下载][推荐]Prism 4
需要: 100 个论坛币  [购买]

[此贴子已经被作者于2005-8-4 9:26:26编辑过]

Journal of Multivariate Analysis 72, 100-119(2000)

22009.rar (242.27 KB) 本附件包括：

• Michel Lejeune.Canonical Analysis Applied to Multivariate Analysis of Variance.pdf

2005-8-6 09:31:00 上传

[下载]Alvin Rencher: Methods of Multivariate Analysis(Wiley, PDF, 2002)