Textbook Data Set and Programming(教科书数据编程总汇）

Probability and Statistics for Engineering and the Sciences (with CD-ROM and InfoTrac) Jay L. Devore 6th Edition ©2004 ISBN: 0534399339

Datasets ASCII comma Datasets ASCII tab Datasets Excel Datasets JMP Datasets Minitab Datasets SAS Datasets SPSS

Applied Regression Analysis A Second Course in Business and Economic Statistics (with CD-ROM and InfoTrac) Terry E. Dielman 4th Edition ©2005 ISBN: 053446548X

Datasets

A Practical Guide to Geostatistical Mapping

by Tomislav Hengl | 291 p. | ISBN 978-90-9024981-0

http://spatial-analyst.net/book/

An Introduction to the Structural Econometrics of Auction Data

By Harry J. Paarsch and Han Hong

Data and Code: An Introduction to the Structural Econometrics of Auction Data.rar

http://mitpress.mit.edu/books/introduction-structural-econometrics-auction-data

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Series:Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Published: September 5, 2013 by Chapman and Hall/CRC
Content:308 Pages | 54 Illustrations
Author(s):Michael Smithson, Edgar C. Merkle

Features
Provides extensive coverage of continuous limited dependent variables, including material on doubly bounded variables
Presents a thorough and consistent treatment of over-dispersion and heteroscedasticity, including tests for them and techniques for modeling them
Integrates coverage of "boundary inflation" issues such as zero inflation in counts and zero or one inflation in proportions
Highlights extensions of models to include mixed models and Bayesian MCMC estimation
Includes worked examples using the R environment, focusing on packages such as VGAM and betareg

Summary
Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.

Data Set and Code:

• https://dl.dropboxusercontent.co ... Book/SmiMerDoc.htm
• http://cran.r-project.org/web/packages/smdata/smdata.pdf