Math 483 (Mathematical Statistics)

Syllabus
My schedule
Homework list
382 book
R stuff   A longer R intro
Book website



Week T R
1 1.1 - 1.6 Probability review   Hw1 1.7, Chapter 2 Random variables
2 Chapter 2   R demo 1 Chapter 2: Poisson and Binomial, transformations, location and scale parameters, start E(X)   Hw2
3 Chapter 3: E(X), V(X), mixture example   Chapter 3: V(X1 + X2 + ... + Xn), MGF's   Hw3
4 Remote session: Sampling Distributions, LLN fail for Cauchy   R demo 2 No class
5 Gamma/Exponential/Normal properties. Ch.5: intro. to convergence in probability. R Lab: bring your laptop! Lab 1   code
6 Ch.5: convergence in distribution. CLT. Ch.6: Introduction into inference
7 Ch.6 continued Hw4 Ch.7
8 Ch.7, intro Ch.8 (Bootstrap)   R demo 3 Ch.9 (MOM)   Hw5
9 Hw4 discussion,   R demo 4 Ch.9: MLE   practice exam
10 Review   key   Hw1-5 key Midterm Exam
11 Ch.9: MLE, Fisher info   R demo 5   Hw6 Ch.9: MLE

Maintained by Oleg Makhnin (olegm att nmt edu)