Statistics4MR-2022-23 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bdemeshev (обсуждение | вклад) |
Bdemeshev (обсуждение | вклад) |
||
Строка 34: | Строка 34: | ||
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 * | + | 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
Содержание
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.