Statistics with Stata: updated for version 10
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Belmont, Calif. [u.a.]
Cengage, Brooks/Cole
2009
|
| Edition: | [Internat. student ed.] |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 491 S. Ill., graph. Darst. |
| ISBN: | 9780495557869 9780495828785 |
Staff View
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| 100 | 1 | |a Hamilton, Lawrence C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Statistics with Stata |b updated for version 10 |c Lawrence C. Hamilton |
| 250 | |a [Internat. student ed.] | ||
| 264 | 1 | |a Belmont, Calif. [u.a.] |b Cengage, Brooks/Cole |c 2009 | |
| 300 | |a XII, 491 S. |b Ill., graph. Darst. | ||
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Contents
Preface
.ix
1
Stata and Stata Resources
.1
A
Typographical
Note
.1
An Example
Stata
Session .
2
Stata's Documentation and Help Files
.7
Searching for Information
.8
StataCorp
.9
The
Stata
Journal
.10
Books Using
Stata
.11
2
Data Management
. 13
Example Commands
.14
Creating a New
Dataset
.16
Specifying Subsets of the Data: in and if Qualifiers
.21
Generating and Replacing Variables
.25
Missing Value Codes
.29
Using Functions
.33
Converting Between Numeric and String Formats
.37
Creating New Categorical and Ordinal Variables
.40
Using Explicit Subscripts with Variables
.43
Importing Data from Other Programs
.44
Combining Two or More
Stata
Files
.47
Transposing, Reshaping, or Collapsing Data
.52
Using Weights
.61
Creating Random Data and Random Samples
.63
Writing Programs for Data Management
.67
Managing Memory
.69
3
Graphs
.·.■ -. 71
Example Commands
.72
Histograms
.■.74
Scatterptots
.·. 79
Line Plots
.·.
84
Connected-Line Plots
.89
Other Twoway Plot Types
.9^
Box Plots
.
91
Pie Charts
.·."
BarCharts
.·.
'Ol
Dot Plots
.
l06
vi
Statistics with
Stata
Symmetry and
Quantité
Plots
. 107
Adding Text to Graphs
. 112
Overlaying Multiple Twoway Plots
. 114
Graphing with Do-Files
. 120
Retrieving and Combining Graphs
. 122
Graph Editor
. 124
Creative Graphing
. 128
4
Summary Statistics and Tables
.135
Example Commands
.
1
35
Summary Statistics for Measurement Variables
.137
Exploratory Data Analysis
. 139
Normality Tests and Transformations
. 141
Frequency Tables and Two-Way Cross-Tabulations
.145
Multiple Tables and
Multi-
Way Cross-Tabulations
.148
Tables of Means, Medians, and Other Summary Statistics
.150
Using Frequency Weights
.152
5
AHOVA
and Other Comparison Methods
.155
Example Commands
.
156
One-Sample Tests
.
157
Two-Sample Tests
.
160
One-Way Analysis of Variance (ANOVA)
,.
163
Two- and iV-Way Analysis of Variance
.
1
66
Analysis of Covariance (ANCOVA)
,.
1
67
Predicted Values and Error-Bar Charts
.
1
69
6
Linear Regression Analysis
. 173
Example Commands
.
173
The Regression Table
.
176
Multiple Regression
.
178
Predicted Values and Residuals
.,.
179
Basic Graphs for Regression
.
182
Correlations
.
186
Hypothesis Tests
.
190
Dummy Variables
.
192
Automatic Categorical-Variable Indicators and Interactions
.
1
99
Stepwise Regression
.,. .202
Polynomial Regression
. .204
7
Regression Diagnostics
. ., 209
Example Commands
.209
SAT Score Regression, Revisited
.21
1
Diagnostic Plots
.213
Diagnostic Case Statistics
.219
Multicoliinearity
.224
Contents
vii
8
Fitting Curves
.229
Example Commands
.229
Band Regression
.23
1
Lowess Smoothing
.233
Regression with Transformed Variables
- 1.236
Regression with Transformed Variables
- 2.241
Conditional Effect Plots
.243
Nonlinear Regression
- 1 .245
Nonlinear Regression
- 2 .248
9
Robust Regression
.253
Example Commands
.254
Regression with Ideal Data
.255
Г
Outliers
.258
X Outliers (Leverage)
.261
Asymmetrical Error Distributions
.263
Robust Analysis of Variance
.264
Further rreg and qreg Applications
.270
Robust Estimates of Variance
— 1.271
Robust Estimates of Variance
— 2.273
10
Logistic Regression
.27?
Example Commands
.279
Space Shuttle Data
.280
Using Logistic Regression
.285
Conditional Effect Plots
.288
Diagnostic Statistics and Plots
.289
Logistic Regression with Ordered-Category
v
.293
Multinomial Logistic Regression
.295
11
Survival and Event-Count Models
. 305
Example Commands
.306
Survival-Time Data
.308
Count-Time Data
.
311
Kapian-Meier Survivor Functions
.,.
ЗІЗ
Cox Proportional Hazard Models
.
.ЗІ™
Exponential and Weibull Regression
.,.323
Poisson
Regression
.327
Generalized Linear Models
.332
12
Principal Components, Factor, and Cluster Analysis
-----. 337
Example Commands
.338
Principal Components
.339
Rotation
.34!
Factor Scores
.344
Principal Factoring
.347
Maximum-Likelihood Factoring
.349
viii
Statistics with
Stata
Cluster Analysis
— 1 .351
Cluster Analysis
— 2 .355
13
Time Series Analysis
.-----.361
Example Commands
.361
Smoothing
.363
Further Time Plot Examples
.369
Lags, Leads, and Differences
.372
Correlograms
.374
ARIMA Models
.378
ARMAX Models
.383
14
Survey Data Analysis
.,.391
Example Commands
.391
Probability Weights
.393
Poststratification Weights
.395
Declare Survey Data
.397
Survey-Weighted Tables and Graphs
.399
Regression-Type Modeling
.405
Conditional Effect Plots for Interactions
.408
Other Tools for Survey Analysis
.411
15
Multilevel and Mixed-Effects Modeling
._413
Example Commands
.414
Regression with Random Intercepts
.416
Random Intercepts and Slopes
.421
Multiple Random Slopes
.427
Nested Levels
.430
Cross-Sectional Time Series
.432
Mixed-Effects Logit Regression
.434
1S Introduction to Programming
.,. 439
Basic Concepts and Toots
.439
Example Program: Moving Autocorrelation
.450
Ado-File
. 454
Help File
.456
Example Program: Plot Survey Variables
.459
Monte Carlo Simulation
.465
Matrix Programming with
Mata
.472
References
.
ш
.47?
Inden
. .
,
.
,
. .485 |
| adam_txt |
Contents
Preface
.ix
1
Stata and Stata Resources
.1
A
Typographical
Note
.1
An Example
Stata
Session .
2
Stata's Documentation and Help Files
.7
Searching for Information
.8
StataCorp
.9
The
Stata
Journal
.10
Books Using
Stata
.11
2
Data Management
. 13
Example Commands
.14
Creating a New
Dataset
.16
Specifying Subsets of the Data: in and if Qualifiers
.21
Generating and Replacing Variables
.25
Missing Value Codes
.29
Using Functions
.33
Converting Between Numeric and String Formats
.37
Creating New Categorical and Ordinal Variables
.40
Using Explicit Subscripts with Variables
.43
Importing Data from Other Programs
.44
Combining Two or More
Stata
Files
.47
Transposing, Reshaping, or Collapsing Data
.52
Using Weights
.61
Creating Random Data and Random Samples
.63
Writing Programs for Data Management
.67
Managing Memory
.69
3
Graphs
.·.■ -. 71
Example Commands
.72
Histograms
.■.74
Scatterptots
.·. 79
Line Plots
.·.
84
Connected-Line Plots
.89
Other Twoway Plot Types
.9^
Box Plots
.
91
Pie Charts
.·."
BarCharts
.·.
'Ol
Dot Plots
.
l06
vi
Statistics with
Stata
Symmetry and
Quantité
Plots
. 107
Adding Text to Graphs
. 112
Overlaying Multiple Twoway Plots
. 114
Graphing with Do-Files
. 120
Retrieving and Combining Graphs
. 122
Graph Editor
. 124
Creative Graphing
. 128
4
Summary Statistics and Tables
.135
Example Commands
.
1
35
Summary Statistics for Measurement Variables
.137
Exploratory Data Analysis
. 139
Normality Tests and Transformations
. 141
Frequency Tables and Two-Way Cross-Tabulations
.145
Multiple Tables and
Multi-
Way Cross-Tabulations
.148
Tables of Means, Medians, and Other Summary Statistics
.150
Using Frequency Weights
.152
5
AHOVA
and Other Comparison Methods
.155
Example Commands
.
156
One-Sample Tests
.
157
Two-Sample Tests
.
160
One-Way Analysis of Variance (ANOVA)
,.
163
Two- and iV-Way Analysis of Variance
.
1
66
Analysis of Covariance (ANCOVA)
,.
1
67
Predicted Values and Error-Bar Charts
.
1
69
6
Linear Regression Analysis
. 173
Example Commands
.
173
The Regression Table
.
176
Multiple Regression
.
178
Predicted Values and Residuals
.,.
179
Basic Graphs for Regression
.
182
Correlations
.
186
Hypothesis Tests
.
190
Dummy Variables
.
192
Automatic Categorical-Variable Indicators and Interactions
.
1
99
Stepwise Regression
.,. .202
Polynomial Regression
. .204
7
Regression Diagnostics
. ., 209
Example Commands
.209
SAT Score Regression, Revisited
.21
1
Diagnostic Plots
.213
Diagnostic Case Statistics
.219
Multicoliinearity
.224
Contents
vii
8
Fitting Curves
.229
Example Commands
.229
Band Regression
.23
1
Lowess Smoothing
.233
Regression with Transformed Variables
- 1.236
Regression with Transformed Variables
- 2.241
Conditional Effect Plots
.243
Nonlinear Regression
- 1 .245
Nonlinear Regression
- 2 .248
9
Robust Regression
.253
Example Commands
.254
Regression with Ideal Data
.255
Г
Outliers
.258
X Outliers (Leverage)
.261
Asymmetrical Error Distributions
.263
Robust Analysis of Variance
.264
Further rreg and qreg Applications
.270
Robust Estimates of Variance
— 1.271
Robust Estimates of Variance
— 2.273
10
Logistic Regression
.27?
Example Commands
.279
Space Shuttle Data
.280
Using Logistic Regression
.285
Conditional Effect Plots
.288
Diagnostic Statistics and Plots
.289
Logistic Regression with Ordered-Category
v
.293
Multinomial Logistic Regression
.295
11
Survival and Event-Count Models
. 305
Example Commands
.306
Survival-Time Data
.308
Count-Time Data
.
311
Kapian-Meier Survivor Functions
.,.
ЗІЗ
Cox Proportional Hazard Models
.
.ЗІ™
Exponential and Weibull Regression
.,.323
Poisson
Regression
.327
Generalized Linear Models
.332
12
Principal Components, Factor, and Cluster Analysis
-----. 337
Example Commands
.338
Principal Components
.339
Rotation
.34!
Factor Scores
.344
Principal Factoring
.347
Maximum-Likelihood Factoring
.349
viii
Statistics with
Stata
Cluster Analysis
— 1 .351
Cluster Analysis
— 2 .355
13
Time Series Analysis
.-----.361
Example Commands
.361
Smoothing
.363
Further Time Plot Examples
.369
Lags, Leads, and Differences
.372
Correlograms
.374
ARIMA Models
.378
ARMAX Models
.383
14
Survey Data Analysis
.,.391
Example Commands
.391
Probability Weights
.393
Poststratification Weights
.395
Declare Survey Data
.397
Survey-Weighted Tables and Graphs
.399
Regression-Type Modeling
.405
Conditional Effect Plots for Interactions
.408
Other Tools for Survey Analysis
.411
15
Multilevel and Mixed-Effects Modeling
._413
Example Commands
.414
Regression with Random Intercepts
.416
Random Intercepts and Slopes
.421
Multiple Random Slopes
.427
Nested Levels
.430
Cross-Sectional Time Series
.432
Mixed-Effects Logit Regression
.434
1S Introduction to Programming
.,. 439
Basic Concepts and Toots
.439
Example Program: Moving Autocorrelation
.450
Ado-File
. 454
Help File
.456
Example Program: Plot Survey Variables
.459
Monte Carlo Simulation
.465
Matrix Programming with
Mata
.472
References
.
ш
.47?
Inden
. .
,
.
,
. .485 |
| any_adam_object | 1 |
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| author | Hamilton, Lawrence C. |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.50285 |
| dewey-search | 519.50285 |
| dewey-sort | 3519.50285 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Mathematik Wirtschaftswissenschaften |
| edition | [Internat. student ed.] |
| format | Book |
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| id | DE-604.BV035162583 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:51:19Z |
| indexdate | 2025-02-10T13:13:56Z |
| institution | BVB |
| isbn | 9780495557869 9780495828785 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016969670 |
| oclc_num | 699311459 |
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| owner | DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-83 |
| owner_facet | DE-473 DE-BY-UBG DE-19 DE-BY-UBM DE-83 |
| physical | XII, 491 S. Ill., graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cengage, Brooks/Cole |
| record_format | marc |
| spelling | Hamilton, Lawrence C. Verfasser aut Statistics with Stata updated for version 10 Lawrence C. Hamilton [Internat. student ed.] Belmont, Calif. [u.a.] Cengage, Brooks/Cole 2009 XII, 491 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Stata Ciência da computação (estatísticas e dados numéricos) larpcal Estatística computacional larpcal Linguagem de programação (estatísticas e dados numéricos) larpcal Processamento de dados (estatísticas e dados numéricos) larpcal Statistique mathématique - Informatique Datenverarbeitung Mathematical statistics Data processing Programm (DE-588)4047394-6 gnd rswk-swf Stata (DE-588)4617285-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Programm (DE-588)4047394-6 s DE-604 Stata (DE-588)4617285-3 s Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016969670&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Hamilton, Lawrence C. Statistics with Stata updated for version 10 Stata Ciência da computação (estatísticas e dados numéricos) larpcal Estatística computacional larpcal Linguagem de programação (estatísticas e dados numéricos) larpcal Processamento de dados (estatísticas e dados numéricos) larpcal Statistique mathématique - Informatique Datenverarbeitung Mathematical statistics Data processing Programm (DE-588)4047394-6 gnd Stata (DE-588)4617285-3 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4047394-6 (DE-588)4617285-3 (DE-588)4056995-0 |
| title | Statistics with Stata updated for version 10 |
| title_auth | Statistics with Stata updated for version 10 |
| title_exact_search | Statistics with Stata updated for version 10 |
| title_exact_search_txtP | Statistics with Stata updated for version 10 |
| title_full | Statistics with Stata updated for version 10 Lawrence C. Hamilton |
| title_fullStr | Statistics with Stata updated for version 10 Lawrence C. Hamilton |
| title_full_unstemmed | Statistics with Stata updated for version 10 Lawrence C. Hamilton |
| title_short | Statistics with Stata |
| title_sort | statistics with stata updated for version 10 |
| title_sub | updated for version 10 |
| topic | Stata Ciência da computação (estatísticas e dados numéricos) larpcal Estatística computacional larpcal Linguagem de programação (estatísticas e dados numéricos) larpcal Processamento de dados (estatísticas e dados numéricos) larpcal Statistique mathématique - Informatique Datenverarbeitung Mathematical statistics Data processing Programm (DE-588)4047394-6 gnd Stata (DE-588)4617285-3 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Stata Ciência da computação (estatísticas e dados numéricos) Estatística computacional Linguagem de programação (estatísticas e dados numéricos) Processamento de dados (estatísticas e dados numéricos) Statistique mathématique - Informatique Datenverarbeitung Mathematical statistics Data processing Programm Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016969670&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hamiltonlawrencec statisticswithstataupdatedforversion10 |