作者: Frauke Kreuter , Ulrich Kohler
DOI:
关键词: Regression analysis 、 Data mining 、 Regression diagnostic 、 Missing data 、 Simple linear regression 、 Linear regression 、 Statistical inference 、 Categorical variable 、 Computer science 、 Logistic regression
摘要: The First Time Starting Stata Setting up your screen Your first analysis Do-files Exiting Working with Do-Files From interactive work to working a do-file Designing do-files Organizing Grammar of elements commands Repeating similar Weights General Comments on the Statistical Commands Regular statistical Estimation Creating and Changing Variables generate replace Specialized recoding Recoding string variables date time missing values Labels Storage types, or ghost in machine Graphs A primer graph syntax Graph types Multiple graphs Saving printing Describing Comparing Distributions Categories: Few many? few categories many Inference Random samples sampling distributions Descriptive inference Causal Introduction Linear Regression Simple linear regression diagnostics Model extensions Reporting results Advanced techniques Models for Categorical Dependent probability model Basic concepts Logistic Likelihood-ratio test Refined models Reading Writing Data goal: data matrix Importing machine-readable Inputting Combining exporting Handling big datasets Users User-Written Programs Two examples usage Four programming tools User-written Around Resources information Taking care Additional procedures References Author Index Subject Exercises appear at end each chapter.