[分享][下载]Statistics with Stata 2006，一本好书！

顶

好书

好书，每页一面，看起来非常方便。

该书与Statistics with Stata (Updated for Version 8)没有多大区别，其数据集可以从以下地址下载：http://www.stata.com/bookstore/swsdl.html

谢谢 又破产了

yes 

【书名】Statistics with Stata (Updated for Version 9)

【作者】Lawrence C. Hamilton

【出版社】Brooks/Cole

【版本】First Edition

【出版日期】2006

【文件格式】PDF

【文件大小】4.55MB

【页数】409

【ISBN出版号】ISBN-10: 0-495-10972-X

                             ISBN-13: 978-0-495-10972-3

【资料类别】计量经济学，统计学

【市面定价】US $59.75

【扫描版还是影印版】影印扫描版

【是否缺页】否

【关键词】STATA、Statistics

【内容简介】

Covered topics include getting started in Stata, data manipulation, graphics (chapter 3 on graphics is the largest in the text and consists of a wonderful example-oriented overview of Stata's graphics), summary statistics and tables, ANOVA, linear regression (and diagnostics), curve fitting, robust methods, regression models for limited dependent variables, panel (longitudinal) data, survival analysis, factor analysis, cluster analysis, time series, and an introduction to programming.

 

【目录】

Table of contents

Preface

1 Stata and Stata Resources

A Typographical Note

An Example Stata Session

Stata's Documentation and Help Files

Searching for Information

Stata Corporation

Statalist

The Stata Journal

Books Using Stata

2 Data Management

Example Commands

Creating a New Dataset

Specifying Subsets of the Data: in and if Qualifiers

Generating and Replacing Variables

Using Functions

Converting between Numeric and String Formats

Creating New Categorical and Ordinal Variables

Using Explicit Subscripts with Variables

Importing Data from Other Programs

Combining Two or More Stata Files

Transposing, Reshaping, or Collapsing Data

Weighting Observations

Creating Random Data and Random Samples

Writing Programs for Data Management

Managing Memory

3 Graphs

Example Commands

Histograms

Scatterplots

Line Plots

Connected-Line Plots

Other Twoway Plot Types

Box Plots

Pie Charts

Bar Charts

Dot Plots

Symmetry and Quantile Plots

Quality Control Graphs

Adding Text to Graphs

Overlaying Multiple Twoway Plots

Graphing with Do-Files

Retrieving and Combining Graphs

4 Summary Statistics and Tables

Example Commands

Summary Statistics for Measurement Variables

Exploratory Data Analysis

Normality Tests and Transformations

Frequency Tables and Two-Way Cross-Tabulations

Multiple Tables and Multi-Way Cross-Tabulations

Tables of Means, Medians, and Other Summary Statistics

Using Frequency Weights

5 ANOVA and Other Comparison Methods

Example Commands

One-Sample Tests

Two-Sample Tests

One-Way Analysis of Variance (ANOVA)

Two- and N-Way Analysis of Variance

Analysis of Covariance (ANOCOVA)

Predicted Values and Error-Bar Charts

6 Linear Regression Analysis

Example Commands

The Regression Table

Multiple Regression

Predicted Values and Residuals

Basic Graphs for Regression

Correlations

Hypothesis Tests

Dummy Variables

Automatic Categorical-Variable Indicators and Interactions

Stepwise Regression

Polynomial Regression

Panel Data

7 Regression Diagnostics

Example Commands

SAT Score Regression, Revisited

Diagnostic Plots

Diagnostic Case Statistics

Multicollinearity

8 Fitting Curves

Example Commands

Band Regression

Lowess Smoothing

Regression with Transformed Variables — 1

Regression with Transformed Variables — 2

Conditional Effect Plots

Nonlinear Regression — 1

Nonlinear Regression — 2

9 Robust Regression

Example Commands

Regression with Ideal Data

Y Outliers

X Outliers (Leverage)

Asymmetrical Error Distributions

Robust Analysis of Variance

Further rreg and qreg Applications

Robust Estimates of Variance — 1

Robust Estimates of Variance — 2

10 Logistic Regression

Example Commands

Space Shuttle Data

Using Logistic Regression

Conditional Effect Plots

Diagnostic Statistics and Plots

Logistic Regression with Ordered-Category y

Multinomial Logistic Regression

11 Survival and Event-Count Models

Example Commands

Survival-Time Data

Count-Time Data

Kaplan–Meier Survivor Functions

Cox Proportional Hazard Models

Exponential and Weibull Regression

Poisson Regression

Generalized Linear Models

12 Principal Components, Factor, and Cluster Analysis

Example Commands

Principal Components

Rotation

Factor Scores

Principal Factoring

Maximum-Likelihood Factoring

Cluster Analysis — 1

Cluster Analysis — 2

13 Time Series Analysis

Example Commands

Smoothing

Further Time Plot Examples

Lags, Leads, and Differences

Correlograms

ARIMA Models

14 Introduction to Programming

Basic Concepts and Tools

Example Program: Moving Autocorrelation

Ado-File

Help File

Matrix Algebra

Bootstrapping

Monte Carlo Simulation

References

Index

 

【整理书评】

Statistics with Stata (Updated for Version 9) is the latest edition in Professor Hamilton's popular Statistics with Stata series. Statistics with Stata is intended to bridge the gap between statistical texts and Stata's own documentation. This text is ideal both as a self-study course for those new to statistics or migrating from other statistical software to Stata and as a valuable reference for experienced Stata users wishing to explore Stata's capabilities in fields new to them.

Covered topics include getting started in Stata, data manipulation, graphics (chapter 3 on graphics is the largest in the text and consists of a wonderful example-oriented overview of Stata's graphics), summary statistics and tables, ANOVA, linear regression (and diagnostics), curve fitting, robust methods, regression models for limited dependent variables, panel (longitudinal) data, survival analysis, factor analysis, cluster analysis, time series, and an introduction to programming.

Although this edition is an excellent resource for learning and using Stata 9, owners of Statistics with Stata (Updated for Version 8) should note that this edition contains little new material.

 

【原创书评】

400页的内容涵盖广泛，每个统筹问题都带有基本概念的讲解以及各种数学公式和实例的分析，例題、程式指令與說明完整，适合统筹学专业或计量经济学相关专业的人员阅读，绝对是计量经济学的经典教材，每个人都应该有一本。

 

http://www.stata.com/bookstore/sws.html

thank s

for the g

thank you! a good book!

Thank you very much!