Mathematical Statistics
PhD Course
Subject Matter Datasheet https://portal.vik.bme.hu/kepzes/targyak/VISZD302/en/
Lectures:
Basic Concepts, Theory of Estimation
Parametric Tests
Nonparametric Tests
Sequential Tests
Analysis of Variance
Regression Analysis
Multivariate
Linear Regression
Factor Analysis
Pattern Recognition
Nearest
Neighbor Decision Rule, Clustering
Sampling
Practices:
Basic Concepts, Theory of Estimation
Data Matrix
Statistical Tests
Exact Tests
Solutions of the first midterm test
Homeworks: hw1 hw2 hw3 hw4 hw5 hw6 hw7 hw8 hw9
statistical tables
parametric test formulas
nonparametric test formulas
Exam Questions Sample
Exam Test