2 Introduction to Bayesian Thinking
2.1 Introduction
In this chapter, the basic elements of the Bayesian inferential approach are introduced through the basic problem of learning about a population proportion. Before taking data, one has beliefs about the
Department of Statistics
Paper STATS 330 Assignment 1 Due: Monday 10 August
The data for this assignment comes from the U.N.E.S.C.O. 1990 Demographic Year Book and The Annual Registrar 1992. It contains birth rates, death rates, infant death rates, life e
STATS 390 SS
Department of Statistics Assignment 3
Due: 9 February 2009
Please answer all questions. Remember this assignment is worth 10%. Make sure that you place all answers and output into a word document and store in a safe area till nished. 1. [34 m
Department of Statistics STATS 390 Summer Semester 2009 Assignment 1
Due: 12 January 2009
Please answer all questions. You have only till next Monday to have this done so get on it TODAY! 1. [6 mark(s)] Make the following R functions and record R output i
Department of Statistics STATS351: Design and Analysis of Experiments Model Answers, Assignment 5, Semester 2 2008
1. [15 marks] (a) [5 marks] i. In R: > site<-factor(rep(c("I","II","III","IV"),4) > day<-factor(rep(1:4,c(4,4,4,4) > inhibitor<-factor(LETTE
Department of Statistics STATS351: Design and Analysis of Experiments Assignment 5 Semester 2, 2008 Due date: 4:00pm Monday, 20 October, 2008
1. [15 marks] Trapping is a standard technique used to survey insect pest species. The basic idea is to bait the
STATS 326 Applied Time Series ASSIGNMENT TWO Due: Monday 11th May (in lecture) The data for this assignment are the monthly occupancy figures for four hotels in a large US city for the period January 1980 to December 1993. The data is contained in a text
STATS 320 Applied Stochastic Modelling Assignment 3 Due 4 pm, Monday May 18, 2009
1 Patients arrive at an emergency clinic as a Poisson process at rate 5 per hour. The clinic is staed by one doctor, and a consultation takes a period of time that is unifor
302 Assignment 3 2004 HAND IN THE R CODE YOU USED, NEXT TO EACH ANALYSIS, WE CAN THEN TELL WHERE YOU WENT WRONG! LABEL EACH ANALYSIS WITH THE ASSOCIATED QUESTION NUMBER, LABEL ALL GRAPHS APPROPRIATELY AND KEEP GRAPHS TO A READABLE SIZE. Use the fish catch
2009 Assignment 3. Hand in by 1.00pm Monday 18th May. Use the same data set as in Assignment 1. Remove the influence of tot_pop from tot_boats, tot_fisher, and FF_catch. i.e. convert them to numbers per member of population. Drop tot_pop from the data set