Statistics4MR-2022-23 — различия между версиями

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     Multidimensional scaling
 
     Multidimensional scaling
  
== Grades ==
+
==== Grades ====
  
 
UoL grade = 0.7 * UoL exam + 0.3 * UoL coursework  
 
UoL grade = 0.7 * UoL exam + 0.3 * UoL coursework  
  
Internal grade = 0.4 * Final exam + 0.3 * December midterm + 0.15 * HA-1 + 0.15 * HA-2
+
Internal grades:
 +
 
 +
Fall grade = 0.4 * HA + 0.6 December Exam
 +
 
 +
Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam
  
 
== :) ==
 
== :) ==

Версия 10:49, 8 сентября 2022

Plan

Module 1

(1 lecture + 1 class per group X 7 weeks)

   Bootstrap + Jacknife + CV
   Sampling
   Welch test
   Mann-Whitney test
   Sample size calculation
   Multiple comparison corrections

Module 2

(1 lecture + 1 class per group X 8 weeks)

   CUPED
   Difference in Difference estimator
   Matching
   Contingency tables, Chi-squared tests
   ANOVA, ANCOVA
   Partial correlation + problem solving 

Module 3

(1 lecture + 1 class per group X 11 weeks)

   Discriminant analysis
   Logit
   PCA
   Factor analysis
   Cluster analysis, Dendrogramms
   Conjoint Analysis
   Multidimensional scaling

Grades

UoL grade = 0.7 * UoL exam + 0.3 * UoL coursework

Internal grades:

Fall grade = 0.4 * HA + 0.6 December Exam

Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam

:)

  • Week 1.

Efron, Leisurely Look