Data analysis using stata / Ulrich Kohler and Frauke Kreuter.
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
- 9781597180467
- 21 519.50285
Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | |
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Biblioteca Manuel Belgrano | 519.50285 K 53256 (Navegar estantería(Abre debajo)) | Disponible | 53256 | ||
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Biblioteca Manuel Belgrano | 519.50285 K 51695 (Navegar estantería(Abre debajo)) | Disponible | 51695 |
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519.50245 G 15468 Biostatistics, an introductory text / | 519.50285 B 51632 Applied spatial data analysis with R / | 519.50285 K 51651 Applied econometrics with R / | 519.50285 K 51695 Data analysis using stata / | 519.50285 K 53256 Data analysis using stata / | 519.50285 R 51706 A handbook of statistical analyses using Stata / Sophia Rabe-Hesketh, Brian S. Everitt. | 519.50601 S 46779 38° Session : |
Incluye referencias bibliográficas.
1. The first time -- 2. Working with do-files -- 3. The grammar of stata -- 4. General comments on the statistical commands -- 5. Creating and changing variables -- 6. Creating and changing graphs -- 7. Describing and comparing distributions -- 8. Introduction to linear regression -- 9. Regression models for categorical dependent variables -- 10. Reading and writing data -- 11. Do-files for advanced users and user-written programs -- 12. Around stata.
"Data Analysis Using Stata" provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Throughout the book, the authors make extensive use of examples using data from the German Socioeconomic Panel, a large survey of households containing demographic, income, employment, and other key information. The book begins with an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like for each loops. The core of the book includes chapters on producing tables and graphs, performing linear regression, and using logistic regression. The remainder of the book includes chapters on reading text files, writing programs and ado-files, and Internet resources, such as the search command and the SSC archive. All key concepts are illustrated with multiple examples. "Data Analysis Using Stata" will serve as a valuable introduction to Stata, both for those who are new to statistics and statistical computing as well as for those new to Stata but familiar with other programs.
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