Verfügbarkeit: Statistics with Stata

Statistics with Stata: updated for version 10

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Bibliographische Detailangaben
1. Verfasser:	Hamilton, Lawrence C. (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Belmont, Calif. [u.a.] Cengage, Brooks/Cole 2009
Ausgabe:	[Internat. student ed.]
Schlagworte:	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 Statistik Programm
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XII, 491 S. Ill., graph. Darst.
ISBN:	9780495557869 9780495828785

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adam_text	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
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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 Stata (DE-588)4617285-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Programm (DE-588)4047394-6 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 Stata (DE-588)4617285-3 gnd Statistik (DE-588)4056995-0 gnd Programm (DE-588)4047394-6 gnd
subject_GND	(DE-588)4617285-3 (DE-588)4056995-0 (DE-588)4047394-6
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 Stata (DE-588)4617285-3 gnd Statistik (DE-588)4056995-0 gnd Programm (DE-588)4047394-6 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 Statistik Programm
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

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