[讨论][推荐][分享][下载]SAS: Resource For SAS User

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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

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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.

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

Editorial Reviews

[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

Research Design and Statistical Analysis

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.

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

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

Journal Of Leisure Research, Volume 22, 2002

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• Yoshi Iwasaki.Janice Butcher.A Short-Term Longitudinal Analysis Of Leisure Coping.pdf

Sanjay Goil:High performance multidimensional analysis and data mining

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Source	Conference on High Performance Networking and Computing archiveProceedings of the 1998 ACM/IEEE conference on Supercomputing (CDROM) table of contents San Jose, CA Pages: 1 - 2 Year of Publication: 1998 ISBN:0-89791-984-X
Authors	Sanjay Goil Northwestern University, Technological Institute, Evanston, IL Alok Choudhary Northwestern University, Technological Institute, Evanston, IL
Sponsors	IEEE-CS\DATC : IEEE Computer Society SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher	Summary information from data in large databases is used to answer queries in On-Line Analytical Processing (OLAP) systems and to build decision support systems over them. The Data Cube is used to calculate and store summary information on a variety of dimensions, which is computed only partially if the number of dimensions is large. Queries posed on such systems are quite complex and require different views of data. These may either be answered from a materialized cube in the data cube or calculated on the fly. Further, data mining for associations can be performed on the data cube. Analytical models need to capture the multidimensionality of the underlying data, a task for which multidimensional databases are well suited. Also, they are amenable to parallelism, which is necessary to deal with large (and still growing) data sets. Multidimensional databases store data in multidimensional structure on which analytical operations are performed. A challenge for these systems is how to handle large data sets in a large number of dimensions. These techniques are also applicable to scientific and statistical databases (SSDB) which employ large multidimensional databases and dimensional operations over them.In this paper we present (1) A parallel infrastructure for OLAP multidimensional databases integrated with association rule mining. (2) Introduce Bit-Encoded Sparse Structure (BESS) for sparse data storage in chunks. (3) Scheduling optimizations for parallel computation of complete and partial data cubes. (4) Implementation of a large scale multidimensional database engine suitable for dimensional analysis used in OLAP and SSDB for (a) large number of dimensions (20-30) (b) large data sets (10s of Gigabyte)Our implementation on the IBM SP-2 can handle large data sets and a large number of dimensions by using disk I/O. Results are presented showing its performance and scalability.

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by Dominick Salvatore, Eugene A. Diulio, Dominick Salvatore

Editorial Reviews Book Description Many students find introductory economics interesting but difficult, so they will really appreciate this study tool designed to make the core material easier to understand. A summary and list of key terms begins each chapter, providing readers with a "map" and hundreds of problems with detailed solutions illustrate and amplify key points. A chapter devoted to drafting and interpreting graphs helps students gain a facility with this material essential for mastering.

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Schaum's Outline of Statistics and Econometrics

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Schaum's Outline of Logic by John Nolt, Dennis Rohatyn, Achille Varzi

Editorial Reviews

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Schaum's Easy Outlines - Calculus -- Mobipocket eBooks By: Elliot Mendelson

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Schaum's Easy Outlines: Differential Equation

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• Differential Equations (Schaum'S Easy Outlines).2003.pdf

Vijay Gupta: Financial Analysis using Excel

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• Finance using Excel.pdf

Vijay Gupta has taught statistic, econometrics, and finance to institutions

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