LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
M.Sc. DEGREE EXAMINATION – STATISTICS
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SECOND SEMESTER – APRIL 2008
ST 2809 – TESTING STATISTICAL HYPOTHESIS
Date : 22/04/2008 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
SECTION A
Answer all questions. (10 x 2 = 20)
- Define Test function.
- Let X be a random variable with pdf .
Consider the problem of testing H0: θ = 1 Vs H1: θ = 2.
Define. Find the level and power of the above test.
- Show that one parameter exponential family has MLR property.
- Define Uniformly Most Powerful Test.
- Show that a test function having Neyman Structure is similar.
- Comment on the following: “UMP always exist”.
- What is meant by shortest length confidence interval?
- What is the connection between confidence interval and hypotheses test?
- Define Maximal Invariant function.
- What is meant by nuisance parameter? Give an example.
SECTION B
Answer any FIVE questions. (5 x 8 = 40)
- Let .Derive a UMP test of size 0.05 for testing Vs
- Let X1,X2,…,Xn be a random sample of size n from U(0, θ). Show that the above family of distributions has MLR in X(n).
- Let X1,X2,…,Xn be a random sample of size n from N(0,σ2). Derive UMPUT of size α for testing H0:σ2 = σ02 Vs H1: σ2 ≠ σ02.
- Consider a (k+1) parameter exponential family with density . Define V = h(U,T) such that V is independent of T for θ = θ0 and V is increasing in U for a fixed T= t. Derive an unconditional UMPUT of size a for testing Vs .
- Write short notes on a.) Locally most powerful test b.) Similar test.
- Let X1,X2,…,Xn be a random sample of size n from N(μ,σ2). Construct a (1- a) level confidence bound for m when i.) s is known and ii.) s is unknown.
- Define Likelihood Ratio Test and show that the critical region provided by the Neyman – Pearson test and Likelihood Ratio Test are same when H0 and H1 are simple.
- Find maximal invariant function under the group of i.) location transformations and ii.) scale transformations.
SECTION C
Answer any TWO questions. (2 x 20 = 40)
- State and prove the necessary and sufficient conditions of Neyman – Pearson lemma.
- Consider a one parameter exponential family with density f(x) = c(θ)eQ(θ)T(x)h(x). Assume Q(θ) is strictly increasing in θ. Show that for testing Vs , there always exist UMP test of level α and is of the form
where ci and gI (i=1,2) are selected so that .
- Let X and Y be independent Poisson variables with means l and m respectively. Derive UMPUT of size a for testing H0: l ≤ am Vs H1: l > am where a > 0.
- a.) Derive Likelihood ratio test for testing H0: m = m0 Vs H1: m ≠ m0 when a random sample of size n is drawn from N(m,s2) where s2 is unknown.
b.) Derive LMP test for testing H0: θ ≤ 0 Vs H1: θ > 0 based on a random sample of size n from C(θ,1). (14+6)
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