Statistics 6501: Homework 3
- Complete the exercises related to the M.L.E. and A.V. in this handout.
handout1a.pdf
- Read Ch. 8, do problems 6c, 7c, 16c, 35, 46, 47abc, 50, 52c, 55, 58
- Code for 8.7b BinomialLogLik.R
8_7_b_Hiromi.r
- Note that problems 55 and 58
relate to the bootstrap, see the Parametric Bootstrap Handout of the H-W model..
- For problem 46 here is the dataset
whale.txt and four R programs, one using uniroot( ), and the others using
the nlmib( ), nlm( ), and mle( ) functions. Note the use of the scan(
) function to read in the data from the txt file.
-
whale1.R computes the mle using uniroot( )
-
whale2.R computes the mle using nlminb( )
-
whale3.R computes the mle using nlm( )
-
whale4.R computes the mle using mle( ), a function in library(stats4)
From jstore find and read the following papers.
JSTORE - online statistics and probability articles, available on campus.
- Efron, R.A. Fisher in the 21st century (Invited paper presented at the
1996 R.A. Fisher Lecture) , Statistical Science, 1998, Vol. 13, No. 2,
95-122.
Movie
Bayes - The
theory that wouldn't die
|