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Math 5305 Statistical Models – Dr. Jesse Crawford

Math 5305 Statistical Models

Course Syllabus

Exams

Final Project due 12/2

Midterm Review

Slides

Introduction

Chapter 3

Chapters 2 and 4   

Notes on Continuous Distributions   Tex File  (Contains an example where E(Y | X) = 0 for all X, but E(Y) does not exist.)

Chapter 5     

Diagnostics and Remedial Measures

Logistic Regression and Discriminant Analysis

Principal

Labs

SAS Examples

Lab8 not to turn in Lab8Data.txt  LogisticRegressionFunctions.txt

Lab7 due by 12/2   Lab7Data.txt

Lab6 due by 11/20  Lab6Data.txt   R Functions

Lab5 due by 11/13   GLScows.txt   GLS2.txt   GLS3.txt

Lab4 due by 11/4  cows.txt   SATMotherEd.txt

Lab3 due by 10/28

Lab2 due by 10/9  Lab2Data.txt

Lab1 due by 9/30

Introduction.txt  (Open in Notepad.  Then “Select All” and paste into R Studio’s script window.)

Homework

Hw8 due 10/7: p. 49 (8, 9, 10, 15 (Find ahat and bhat. You do not have to find the standard errors. Be prepared to present ahat and bhat on Monday.))
Hw7 due 10/2: p. 23 (1, 4) and p. 44 (1, 2, 4, 5). (Be prepared to present p. 45 (4) on Wed.)
Hw6 due 9/25: p. 37 (1–6, 8). On problem 8, assume U is N x 1, and prove that cov(U) is nonnegative definite.  You may ommit the part involving positive definiteness.
Hw5 due 9/23: p. 35 (2, 3, 4) and p. 39 (3, 6). For the problems on p. 35, assume that A, U, and B are matrices with dimensions IxJ, JxK, and KxL, respectively. A and B are constants, while U is random (K=1 on problems 2 and 4).
Hw4 due 9/18: p. 31 (5) and p. 33 (3, 5, 9a, 10, 14). Be prepared to present solutions for 10 and 14 on Monday in class.

Hw3 due 9/11: p. 20 of the packet problems (1, 2, 5, 7, 8, 9, 10, 13).  Bonus:  Justify the claim on p. 5 paragraph 3.  Be prepared to discuss the homework problems on Monday in class. 

Review Hw2 due 9/4

Review Hw1 due 9/4