Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Solved Questions on Non Degenerate Random of Intervals | STA 6467, Study notes of Probability and Statistics

Material Type: Notes; Class: PROBABILITY THEORY 2; Subject: STATISTICS; University: University of Florida; Term: Spring 2000;

Typology: Study notes

Pre 2010

Uploaded on 09/17/2009

koofers-user-opc6s5wh2z
koofers-user-opc6s5wh2z 🇺🇸

10 documents

1 / 1

Toggle sidebar

Related documents


Partial preview of the text

Download Solved Questions on Non Degenerate Random of Intervals | STA 6467 and more Study notes Probability and Statistics in PDF only on Docsity! Billingsley (3rd ed), Exercise 21.8: (a) Suppose that X and Y have first moments, and prove E[Y ]− E[X] = ∫ ∞ −∞ ( P [X < t ≤ Y ]− P [Y < t ≤ X] ) dt. (b) Let (X,Y ] be a nondegenerate random interval. Show that its expected length is the integral with respect to t of the probability that it covers t. Note: Let (Ω,F , P ) be the probability space under consideration. In doing this prob- lem, you will end up looking at integrals (with respect to P ×Leb. meas.) of functions like IB(ω, t), where, say, B = {(ω, t) : X(ω) < t ≤ Y (ω)}. Of course you need IB to be measurable F ×R1, or equivalently, B ∈ F ×R1. Since B = {(ω, t) : X(ω) < t} ∩ {(ω, t) : t ≤ Y (ω)} = {(ω, t) : t ≤ X(ω)}c ∩ {(ω, t) : t ≤ Y (ω)}, it suffices to show that {(ω, t) : t ≤ X(ω)} ∈ F ×R1 for a general random variable X. Consider the mappings f : Ω× R −→ R f(ω, t) = X(ω) and g : Ω× R −→ R g(ω, t) = t. Note that for any H ∈ R1, f−1(H) = X−1(H)× R ∈ F ×R1 and g−1(H) = Ω×H ∈ F ×R1. Thus f and g are measurable (F × R1)/R1. Now by a theorem proven in class last semester (see below), {(ω, t) : t ≤ X(ω)} = {(ω, t) : g(ω, t) ≤ f(ω, t)} ∈ F ×R1. I certainly do not claim that the argument above is the best one, but it is at least illustrative of the ideas that one might use. I do not really expect you to verify these kind of measurability details in all exercises, but it is easy to make the mistake of assuming that a function or set is measurable when in fact it is not. Thus you should always be aware of measurability questions and be able to construct the necessary arguments if you have to. Note: Recall that for a general measurable space (Ω,F ), if f, g : Ω→ R are measurable F/R1, then {ω : f(ω) < g(ω)} = ⋂ r∈Q {ω : f(ω) < r < g(ω)} = (⋂ r∈Q {ω : f(ω) < r} )⋂(⋂ r∈Q {ω : r < g(ω)} ) ∈ F (Q denotes the rationals). This proof has the advantage that it also works for extended real valued functions (considering f−g is problematic at points where both are∞ or −∞). 1
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved