Regression With Stata
Statistical Tools Spss
Zuur et al 2010 methods in ecology and evolution a protocol for data exploration to avoid common statistical problems
Statistical Analysis
varianzanalyse
Quantitive Analysis Report+Word File
Session 6. Applied Regression -- Prof. Juran2 Outline Residual Analysis Are they normal? Do they have a common variance? Multicollinearity Autocorrelation,
Session 8b. Decision Models -- Prof. Juran2 Overview Hypothesis Testing Review of the Basics –Single Parameter –Differences Between Two Parameters Independent.
Session 2. Applied Regression -- Prof. Juran2 Outline for Session 2 More Simple Regression –Bottom Part of the Output Hypothesis Testing –Significance.
Session 7. Applied Regression -- Prof. Juran2 Outline Chi-square Goodness-of-Fit Tests Fit to a Normal Simulation Modeling Autocorrelation, serial correlation.
This is S-030: Applied Regression and Data Analysis For those of you looking for S-052 with John Willett, we’ve switched rooms. Go upstairs to Larsen 106.
Session 4. Applied Regression -- Prof. Juran2 Outline for Session 4 Summary Measures for the Full Model –Top Section of the Output –Interval Estimation.
