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The instructions and problems for homework 0 of the intermediate theory of statistics course (stat610) at the university of x. Students are required to solve problem 1, which deals with a piecewise exponential distribution. The problem asks students to show that the given density function is a probability density function, find the probability and expected value for a specific event, and find the maximum likelihood estimator for the unknown parameters. The document also includes a solution by student b.
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Stat610: Intermediate Theory of Statistics
Instructor: Jianhua Huang Editor: Student A TA: Seokho Lee
Send your solution (latex file) of the problem to the assigned editor of the week. After combining the files and editing, the assigned editor should send the file to the TA (Seokho Lee, [email protected]).
Thanks!
Jianhua
Problem 1.
A random variable X has piecewise exponential distribution with parameters λ 1 ,... , λm and partition t 1 ,... , tm if its density is
f (x) = kj λ− j 1 e−(x−tj−^1 )/λj^ , x ∈ (tj− 1 , tj ], j = 1,... , m
where t 0 = 0, tm = ∞, k 1 = 1 and
kj = exp
∑^ j−^1
l=
(tl − tl− 1 )/λl
, j = 2,... , m.
a) Show that∫ f (x) is indeed a probability density function, that is, ∞ 0 f^ (x)^ dx^ = 1.
b) Show that P (X > tj− 1 ) = kj and
E[(Xi − tj− 1 )I(tj− 1 ≤ Xi ≤ tj )] = λj (tj − tj+1) − (tj − tj+1)kj+1.
c) Suppose X 1 ,... , Xn is a random sample from above piecewise exponential distribution and λ 1 ,... , λm are unknown parameters that need to be estimated. Give the closed-from expression of the MLE of λ 1 ,... , λm.
d) Show that the MLE is consistent.
Solution (by Student B).