PMF of Y for Exponential Random Variable

  • Thread starter Thread starter magnifik
  • Start date Start date
  • Tags Tags
    Random
Click For Summary

Homework Help Overview

The discussion revolves around finding the probability mass function (pmf) of a random variable Y defined in relation to an exponential random variable X with parameter λ. The specific question involves determining P[m < X < m + 1] and understanding how this relates to the properties of the cumulative distribution function (CDF) of X.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants discuss the calculation of P[m < X < m + 1] using the CDF of the exponential distribution. There is uncertainty about how to decompose this probability and whether properties of the CDF apply in this context. One participant questions the classification of the resulting expression as binomial or geometric.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of the problem and clarifying concepts related to continuous random variables. Some guidance has been offered regarding the properties of probabilities for continuous distributions, but no consensus has been reached on the classification of the resulting expression.

Contextual Notes

Participants are navigating the implications of defining Y based on the continuous nature of X and the associated probabilities. There is a focus on the nuances of probability calculations involving continuous random variables.

magnifik
Messages
350
Reaction score
0
for a random variable X with parameter λ, Y = m if m < X < m + 1
what is pmf of Y?

it's basically asking for P[m< X < m+1]
i know how to solve this for P[m < X < m + 1] ... it would be e-λm - e-λ(m+1) because
P[a < X < b] = Fx(b) - Fx(a) and i know the PDF of an exponential random variable. however, in this problem the inequality does not match that so I'm wondering how to solve. i am unsure how to decompose P[m < X < m + 1]. i don't know of any property of the CDF that matches this
 
Physics news on Phys.org
magnifik said:
for a random variable X with parameter λ, Y = m if m < X < m + 1
what is pmf of Y?

it's basically asking for P[m< X < m+1]
i know how to solve this for P[m < X < m + 1] ... it would be e-λm - e-λ(m+1) because
P[a < X < b] = Fx(b) - Fx(a) and i know the PDF of an exponential random variable. however, in this problem the inequality does not match that so I'm wondering how to solve. i am unsure how to decompose P[m < X < m + 1]. i don't know of any property of the CDF that matches this

It doesn't matter. For any random variable X that is (absolutely) continuous--that is, which has a density--- the probability of a single point = 0, so if a < b we have P{a <= X <= b} = P{a < X <= b} = P{a <= X < b} = P{a < X < b} = F(b) - F(a).

RGV
 
ok. thanks.
 
so it would be e-λm - e-λ(m+1) which can be written as
e-λm(1-e) .. would this be binomial or geometric?
 

Similar threads

Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
8
Views
1K
  • · Replies 2 ·
Replies
2
Views
3K
Replies
1
Views
2K
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
9
Views
4K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
1K