OnSite:  Applications of Resampling Methods

A Two-Day Workshop

Syllabus can be revised in accordance with your firm’s specific needs

Dr. Phillip Good

To arrange for the course to be held at or near your facility, contact courses@statcourse.com or 1-714/465-9732.


 Day I  Morning

 SESSION 1: Introduction

            lChanges in Theory/Technology Dictate Changes in Practice

            lResampling Methods:  Bootstrap, Permutations, Decision Trees

lThe Bootstrap

Precision of an Estimate

Using the Bootstrap

Interval Estimates 

 

SESSION 2: Bootstrap Applications

lHodges-Lehman estimator

lEstimating Bias

lPower and Sample Size Estimates

lBehrans-Fisher

lModel Validation

  

Day 1: Afternoon

 SESSION 3:  Permutation Tests

lComparing Means

lChoosing a Statistic

Multivariate Analysis

lOne-Way Analysis: ANOVA or Permutations

lComparing Variances

  

SESSION 4: Contingency Tables

            lFisher’s Exact Test

            lCombining 2x2 Tables

           l RxC – unordered

            lRxC – ordered

 

Day 2: Morning

 SESSION 5: Improved Bootstrap Methods

lParametric

lBCa

lIterative

lTilted

  

SESSION 6:  DECISION TREES v. REGRESSION

            lHow Decision Trees work

            lDifferential losses

            laprior probabilities

            lWhich Method? Software Comparisons

 

Day 2: Afternoon

 SESSION 7:  Analysis of Cross-Over Designs

            lBalanced Experiment

            lMissing Data

            lHandling Drop Outs

            lGeneralizing the Results

 

SESSION 8: Applying the Concepts

lWhen to Use Parametric Procedures

lWhen to Use Decision Trees

lWhen to Use Permutation Tests

lWhen to Use Bootstrap