**This page will contain assigned
homework and suggested problems. **

Suggested problems are questions that a student should be able to answer, but are not part of homework to be handed in for grading.

The assigned and suggested problems include two types of questions.

1. some that are the basis of good test questions

2. some that are
closer to dealing with *real world*
questions involving several steps and so are not good test questions.

Suggested problems

Jan 11, 2017 : Sugg1.pdf

Jan 20, 2017 : a1-2017.pdf This assignment has some problems to hand in and also suggested problems.

February 1, 2017 : Sugg2.pdf This file will be updated with some additional suggested problems in the next couple of days.

February 10, 2017 : a2-2017.pdf This also includes some suggested problems. The tentative due date is next Friday.

R script file for simulation of a 2 state Markov chain and calculation of the sufficient statistics MC-MLE.r

Whales data for 8.10.46 whales.txt This data is in a text file. It can be read into R using read.table

The material needed for the assignment has been covered, so the due date will remain Feb 17, 2017.

For the assignment the bootstrap method refers to the parametric bootstrap. R has some programs called bootstrap, but these refer to the non-parametric bootstrap, which will be discussed later in the course. R does not have a parametric bootstrap, so this needs to be coded by the student.

March 1, 2017 : a3-2017.pdf The due date will be posted here at a later time. The assignment will be due in about 2 weeks. At the end of the assignment are some suggested problems. Assignment 3 now has a due date of March 15, 2017. Assignments are due at the beginning of the lecture.

**Correction to Assignment**

**9.11.4 : do
only parts (a), (b)**

**11.6.21 : skip part (b) (non parametric method)**

March 22, 2017 : a4-2017.pdf Question 2 has been corrected.

There will be one additional short assignment on Bayes methods.

March 31, 2017 : Bayes questions for assignment 5 - to be posted in pdf form

8.10.4 (e) , 8.10.7 (d), 8.10.8 (d) {parts corrected from Monday April 3, 2017)

Other questions that have a part about Bayes estimation : 8.10.5(d) , see section 11.2.4; 11.6.20 and the two posted old exams.