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Statistics with Stata (Updated for Version 7),9780534396541

Statistics with Stata (Updated for Version 7)

by
Edition:
4th
ISBN13:

9780534396541

ISBN10:
0534396542
Format:
Paperback
Pub. Date:
12/7/2001
Publisher(s):
Duxbury Press
List Price: $59.00
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Summary

For students and practicing researchers alike, Statistics with Stata opens the door to full use of the popular Stata program -- a fast, flexible, and easy-to-use environment for data management and statistical analysis. This comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, Statistics with Stata will make it easier for you to move fluidly through the world of modern data analysis. Book jacket.

Author Biography

Lawrence C. Hamilton: University of New Hampshire

Table of Contents

Preface ix
Stata and Stata Resources
1(11)
A Typographical Note
1(1)
An Example Stata Session
2(4)
Stata's Documentation and Help Files
6(1)
Searching for Information
7(1)
Stata Corporation
7(1)
Statalist
8(1)
The Stata Technical Bulletin (1991--2001) and Stata Journal
9(1)
Books Using Stata
10(2)
Data Management
12(46)
Example Commands
12(2)
Creating a New Dataset
14(4)
Specifying Subsets of the Data: in and if Qualifiers
18(4)
Generating and Replacing Variables
22(3)
Using Functions
25(4)
Converting between Numeric and String Formats
29(3)
Creating New Categorical and Ordinal Variables
32(3)
Using Explicit Subscripts with Variables
35(1)
Importing Data from Other Programs
36(3)
Combining Two or More Stata Files
39(4)
Transposing, Reshaping or Collapsing Data
43(6)
Weighting Observations
49(2)
Creating Random Data and Random Samples
51(4)
Writing Programs for Data Management
55(1)
Managing Memory
56(2)
Graphs
58(30)
Example Commands
58(2)
Histograms
60(4)
Scatterplots
64(7)
Boxplots and One-Way Scatterplots
71(2)
Pie Charts and Star Charts
73(3)
Bar Charts
76(4)
Symmetry and Quantile Plots
80(4)
Quality Control Graphs
84(4)
Summary Statistics and Tables
88(20)
Example Commands
88(1)
Summary Statistics for Measurement Variables
89(3)
Exploratory Data Analysis
92(2)
Normality Tests and Transformations
94(3)
Frequency Tables and Two-Way Cross-Tabulations
97(3)
Multiple Tables and Multi-Way Cross-Tabulations
100(3)
Tables of Means, Medians, and other Summary Statistics
103(2)
Using Frequency Weights
105(3)
ANOVA and Other Comparison Methods
108(16)
Example Commands
108(2)
One-Sample Tests
110(3)
Two-Sample Tests
113(2)
One-Way Analysis of Variance (ANOVA)
115(3)
Two- and N-Way Analysis of Variance
118(1)
Analysis of Covariance (ANOCOVA)
119(2)
Predicted Values and Error-Bar Charts
121(3)
Linear Regression Analysis
124(28)
Example Commands
124(2)
The Regression Table
126(2)
Multiple Regression
128(1)
Predicted Values and Residuals
129(3)
Basic Graphs for Regression
132(3)
Correlations
135(4)
Hypothesis Tests
139(1)
Dummy Variables
140(6)
Stepwise Regression
146(3)
Polynomial Regression
149(3)
Regression Diagnostics
152(19)
Example Commands
152(2)
SAT Score Regression, Revisited
154(2)
Diagnostic Plots
156(4)
Diagnostic Case Statistics
160(6)
Multicollinearity
166(5)
Fitting Curves
171(22)
Example Commands
171(1)
Band Regression
172(2)
Lowess Smoothing
174(3)
Regression with Transformed Variables - 1
177(4)
Regression with Transformed Variables - 2
181(2)
Conditional Effect Plots
183(2)
Nonlinear Regression - 1
185(4)
Nonlinear Regression - 2
189(4)
Robust Regression
193(20)
Example Commands
193(1)
Regression with Ideal Data
194(3)
Y Outliers
197(3)
X Outliers (Leverage)
200(2)
Asymmetrical Error Distributions
202(1)
Robust Analysis of Variance
203(5)
Further rreg and greg Applications
208(1)
Robust Estimates of Variance
209(4)
Logistic Regression
213(24)
Example Commands
214(1)
Space Shuttle Data
215(5)
Using Logistic Regression
220(3)
Conditional Effect Plots
223(1)
Diagnostic Statistics and Plots
224(4)
Logistic Regression with Ordered-Category y
228(2)
Multinomial Logistic Regression
230(7)
Survival Analysis and Event-Count Models
237(29)
Example Commands
237(3)
Survival-Time Data
240(2)
Count-Time Data
242(2)
Kaplan-Meier Survivor Functions
244(3)
Cox Proportional Hazard Models
247(6)
Exponential and Weibull Regression
253(4)
Poisson Regression
257(4)
Generalized Linear Models
261(5)
Principal Components and Factor Analysis
266(11)
Example Commands
266(1)
Principal Components
267(2)
Rotation
269(1)
Factor Scores
270(3)
Principal Factoring
273(1)
Maximum-Likelihood Factoring
274(3)
Time Series Analysis
277(20)
Example Commands
277(1)
Smoothing
278(5)
Further Time Plot Examples
283(2)
Lags, Leads, and Differences
285(2)
Correlograms
287(3)
ARIMA Models
290(7)
Introduction to Programming
297(32)
Basic Concepts and Tools
297(7)
Example Program: Moving Autocorrelation
304(4)
Ado-File
308(2)
Help File
310(2)
Matrix Algebra
312(5)
Bootstrapping
317(4)
Monte Carlo Simulation
321(8)
References 329(4)
Index 333


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