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做完这本书 本人制作电子版的工作就得告一段落了 因为我就只有这几本书了
这本书内容不深
对初学者可能有用
依旧免费
如果哪位版友有stata方面的书需要制作电子版的可以论坛消息给我
补缺页63
184282.rar
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本附件包括：
Table of contents
Preface (pdf)
0 About the book
0.1 Structure
0.2 Using this book: Materials and hints
0.3 Teaching with this manual
1 "The first time"
1.1 Starting Stata
1.2 Setting up your screen
1.3 Your first analysis
1.4 Do-files
1.5 Exiting Stata
2 Working with do-files
2.1 From interactive work to working with a do-file
2.1.1 Alternative 1
2.1.2 Alternative 2
2.2 Designing do-files
2.2.1 Comments
2.2.2 Line breaks
2.2.3 Some crucial commands
2.3 Organizing your work
2.4 Summary
3 The grammar of Stata
3.1 The elements of Stata commands
3.1.1 Stata commands
3.1.2 The variable list
List of variables: required or optional
Abbreviation rules
Special listings
3.1.3 Options
3.1.4 The in qualifier
3.1.5 The if qualifier
3.1.6 Expressions
Operators
Functions
3.1.7 Lists of numbers
3.1.8 Using filenames
3.2 Repeating similar commands
3.2.1 The by prefix
3.2.2 The foreach loop
3.2.3 The forvalues loop
3.3 Weights
4 Some general comments on the statistical commands
5 Creating and changing variables
5.1 The commands generate and replace
5.1.1 Variable names
5.1.2 Some examples
5.1.3 Changing codes with by, _n, and _N
5.1.4 Subscripts
5.2 Specialized recoding commands
5.2.1 The recode command
5.2.2 The egen command
5.3 Additional tools for recording data
5.3.1 String functions
5.3.2 Date functions
5.4 Commands for dealing with missing values
5.5 Labels
5.6 Storage types, or, the ghost in the machine
6 Creating and changing graphs
6.1 A primer on graph syntax
6.2 Graph types
6.2.1 Examples
6.2.2 Specialized graphs
6.3 Graph elements
6.3.1 Appearance of data
Choice of marker
Marker colors
Marker size
Lines
6.3.2 Graph and plot regions
Graph size
Plot region
Scaling the axes
6.3.3 Information inside the plot region
Reference lines
Labeling inside the plot region
6.3.4 Information outside the plot region
Labeling the axes
Tick lines
Axis titles
The legend
Graph titles
6.4 Multiple graphs
6.4.1 Overlaying numerous twoway graphs
6.4.2 Option by()
6.4.3 Combining graphs
6.5 Saving and printing graphs
7 Describing and comparing distributions
7.1 Categories: Few or many?
7.2 Variables with few categories
7.2.1 Tables
Frequency tables
More than one frequency table
Comparing distributions
Summary statistics
7.2.2 Graphs
Histograms
Bar charts
Dot chart
7.3 Variables with many categories
7.3.1 Frequencies of grouped data
Some remarks on grouping data
Special techniques for grouping data
7.3.2 Describing data using statistics
Important summary statistics
The summarize command
The tabstat command
Comparing distributions using statistics
7.3.3 Graphs
Box plots
Histograms
Kernel density estimation
Quantile plot
7.3.4 Summary
7.4 Summary
8 Introduction to linear regression
8.1 Simple linear regression
8.1.1 The basic principle
8.1.2 Linear regression using Stata
The table of coefficients
Standard errors
The table of ANOVA results
The model fit table
8.2 Multiple regression
8.2.1 Multiple regression using Stata
8.2.2 Additional computations
8.2.3 What does "under control" mean?
8.3 Regression diagnostics
8.3.1 Violation of E(εi) = 0
Linearity
Influential cases
Omitted variables
8.3.2 Violation of Var(εi) = σ2
8.3.3 Violation of Cov(εi, εj) = 0, i ≠ j
8.4 Model extensions
8.4.1 Categorical independent variables
8.4.2 Interaction terms
8.4.3 Regression models using transformed variables
Nonlinear relations
Eliminating heteroskedasticity
8.5 More on standard errors
8.5.1 Bootstrap techniques
8.5.2 Confidence intervals in cluster samples
8.6 Advanced techniques
8.6.1 Median regression
8.6.2 Regression models for panel data
From wide to long format
Fixed-effects models
8.6.3 Error-component models
8.7 Summary
9 Regression models for categorical dependent variables
9.1 The linear probability model
9.2 Basic concepts
9.2.1 Odds, log odds, and odds ratios
9.2.2 Excursion: The maximum likelihood principle
9.3 Logistic regression with Stata
9.3.1 The coefficients block
Sign interpretation
Interpretation with odds ratios
Probability interpretation
9.3.2 The iteration block
9.3.3 The model fit block
Classification tables
Pearson chi-squared
9.4 Logistic regression diagnostics
9.4.1 Linearity
9.4.2 Influential cases
9.5 Likelihood-ratio test
9.6 Refined models
9.7 Advanced techniques
9.7.1 Probit models
9.7.2 Multinomial logistic regression
9.7.3 Models for ordinal data
9.8 Summary
10 Reading and writing data
10.1 The goal: The data matrix
10.2 Importing machine-readable data
10.2.1 Reading system files from other packages
10.2.2 Reading ASCII text files
Reading data in spreadsheet format
Reading data in free format
Reading data in fixed format
10.3 Inputting data
10.3.1 Input data using the editor
10.3.2 The input command
10.4 Combining data
10.4.1 The GSOEP database
10.4.2 The merge command
The merge procedure
Keeping track of observations
Merging more than two files
Merging data on different levels
10.4.3 The append command
10.5 Saving and exporting data
10.6 Handling big datasets
10.6.1 Rules for handling the working memory
10.6.2 Using oversized datasets
10.7 Summary
11 Do-files for advanced users and user-written programs
11.1 Two examples of usage
11.2 Four programming tools
11.2.1 Local macros
11.2.2 Do-files
11.2.3 Programs
11.2.4 Programs in do-files and ado-files
11.3 User-written Stata commands
11.3.1 Parsing variable lists
11.3.2 Parsing options
11.3.3 Parsing if and in qualifiers
11.3.4 Generating an unknown number of variables
11.3.5 Default values
11.3.6 Extended macro functions
11.3.7 Avoiding changes in the dataset
11.3.8 Help files
11.4 Summary
12 Around Stata
12.1 Resources and information
12.2 Taking care of Stata
12.3 Additional procedures
12.3.1 SJ and STB ado-files
12.3.2 SSC ado-files
12.3.3 Other ado-files
12.4 Summary
References
Author index (pdf)
Subject index (pdf)
[此贴子已经被蓝色于2008-3-31 16:34:22编辑过]
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