Data Management Using Stata
A Practical Handbook
Seiten
2010
Stata Press (Verlag)
978-1-59718-076-4 (ISBN)
Stata Press (Verlag)
978-1-59718-076-4 (ISBN)
- Titel erscheint in neuer Auflage
- Artikel merken
Zu diesem Artikel existiert eine Nachauflage
Using illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, it takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first.
Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.
Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.
Michael N. Mitchell is a senior statistician in health services research. For 12 years, he worked in the Statistical Consulting Group of the UCLA Academic Technology Services.
Introduction. Reading and Writing Datasets. Data Cleaning. Labeling Datasets. Creating Variables. Combining Datasets. Processing Observations across Subgroups. Changing the Shape of Your Data. Programming for Data Management. Additional Resources. Appendix. Index.
| Erscheint lt. Verlag | 8.7.2010 |
|---|---|
| Verlagsort | College Station |
| Sprache | englisch |
| Maße | 184 x 235 mm |
| Gewicht | 793 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Software Entwicklung |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Technik ► Umwelttechnik / Biotechnologie | |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| ISBN-10 | 1-59718-076-9 / 1597180769 |
| ISBN-13 | 978-1-59718-076-4 / 9781597180764 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Entwurfsmuster für effektive Softwareentwicklung
Buch | Softcover (2024)
Springer Vieweg (Verlag)
CHF 27,95
Grundlagen, Prozesse, Methoden und Werkzeuge
Buch | Hardcover (2024)
Springer Vieweg (Verlag)
CHF 139,95
