Suchergebnisse

Die Kapitel der Regressionsschätzung, Paneldatenanalyse, der multivariaten Datenanlyse, Survey- und Survivalanalyse, so wie Zeitreihenanlyse werden anhand einer tabellarischen Auflistung von
entsprechenden STATA und R-Befehlen vorgestellt. Dabei kann die gewählte Vorgehensweise in
STATA zu einem Großteil in R übersetzt und nachvollzogen werden.

The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discussion of maximum-likelihood function evaluators has been significantly expanded in this edition. The new topics covered in this edition include factor variables and operatores; use of margins, marginsplot, and suest; Mata-based likelihood function evaluators; and associative arrays. (Preface)

Stata, an integrated statistical package for Windows, Macintosh, and Unix, is designed for research professionals. Stata is an environment for manipulating and analyzing data using statistical and graphical methods. Stata is an integrated package – not a collection of separate modules. You can intersperse data management, statistical, and graphical commands. Stata has a broad suite of capabilities for professionals of all disciplines, including statistics for economists, political scientists, and other social scientists (including a range of panel-data models); statistics for biostatisticians, epidemiologists, and other health scientists (including a range of survival analysis models); and so on. ; Stata, an integrated statistical package for Windows, Macintosh, and Unix, is designed for research professionals. Stata is an environment for manipulating and analyzing data using statistical and graphical methods. Stata is an integrated package – not a collection of separate modules. You can intersperse data management, statistical, and graphical commands. Stata has a broad suite of capabilities for professionals of all disciplines, including statistics for economists, political scientists, and other social scientists (including a range of panel-data models); statistics for biostatisticians, epidemiologists, and other health scientists (including a range of survival analysis models); and so on.