Free Downloads Statistics With STATA: Version 12
For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of modern data analysis.
Paperback: 496 pages
Publisher: Cengage Learning; 8 edition (April 15, 2012)
Language: English
ISBN-10: 0840064632
ISBN-13: 978-0840064639
Product Dimensions: 0.9 x 8 x 9 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review: 4.2 out of 5 stars See all reviews (11 customer reviews)
Best Sellers Rank: #135,140 in Books (See Top 100 in Books) #78 in Books > Computers & Technology > Software > Mathematical & Statistical #360 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics #531 in Books > Science & Math > Mathematics > Applied > Probability & Statistics
The Stata website (bookstore) has a link to all the datasets and do-files. Searching for Statistics with Stata version 12 on Google brings up this Stata page as one of its first hits.The back cover gives this description of the contents, which in 15 chapters range from basic to advanced:"Substantially revised for Stata Version 12, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, Statistics with Stata will make it easier for you to keep up to date and move fluidly through the world of modern data analysis. Its contents include:* A complete chapter on database management, including sections on how to create, import, combine or restructure datasets.* An example-based introduction to Stata's graphical capabilities, including the Graph Editor. Topics range from simple bar and line plots to regression diagnostics, overlaying multiple plots and drawing detailed, publication-quality graphics.* Basic statistical tools, including tables, parametric tests, chi- squared and other nonparametric tests, ANOVA/ANCOVA, correlation and regression analysis.* Advanced methods including lowess, robust, quantile, nonlinear and Box-Cox regression; logit, ordered logit and multinomial logit models; survival, event-count and Poisson analysis; generalized linear modeling (GLM); factor analysis and cluster analysis; ARIMA and ARMAX time series modeling; and multilevel or mixed-effects modeling--all demonstrated through practical, easy-to-follow examples with an emphasis on interpretation.
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