On conditional probability of an exponential random variable

In summary, the conditional probability P(Z < z | Y = n) for 0 ≤ z < 1 and n = 0, 1, ... is equal to (1-e-λz)/(1-e-λ), where λ is the rate parameter of the exponential distribution.
  • #1
Postante
5
0
You are given a random exponential variable X: f(x) = λ exp(-λ x).
Suppose that X = Y + Z, where Y is the integral part of X and Z is the fractional part of X:
Y = IP(X), Z = FP(X).
Which is the following conditional probability:
P(Z < z | Y = n) for 0 ≤ z < 1 and n = 0, 1, … ?
 
Physics news on Phys.org
  • #2
Postante said:
You are given a random exponential variable X: f(x) = λ exp(-λ x).
Suppose that X = Y + Z, where Y is the integral part of X and Z is the fractional part of X:
Y = IP(X), Z = FP(X).
Which is the following conditional probability:
P(Z < z | Y = n) for 0 ≤ z < 1 and n = 0, 1, … ?
P(Z < z | Y = n) = P(X < n+z | Y = n) = P(X < n+z | n <= X < n+1)
= (F(n+z)-F(n))/(F(n+1) - F(n))
= (e-λn - e-λ(n+z))/(e-λn - e-λ(n+1))
= (1-e-λz)/(1-e)
 

Related to On conditional probability of an exponential random variable

1. What is conditional probability in relation to an exponential random variable?

Conditional probability is the likelihood of an event occurring given that another event has already occurred. In the context of an exponential random variable, it is the probability that the variable falls within a specific range, given that it is greater than a certain value.

2. How is conditional probability calculated for an exponential random variable?

The conditional probability for an exponential random variable can be calculated using the formula P(X > x | X > y) = P(X > x + y), where x and y are values on the exponential distribution. This formula is based on the memoryless property of exponential distributions.

3. What is the significance of conditional probability for an exponential random variable?

Conditional probability for an exponential random variable is important in understanding the likelihood of an event occurring in a specific time frame. It can also be used to make predictions and inform decision-making in areas such as finance, insurance, and engineering.

4. How does the shape of an exponential distribution affect conditional probability?

The shape of an exponential distribution, specifically the rate parameter, can greatly influence conditional probability. A higher rate parameter results in a steeper curve, meaning that the probability of an event occurring in a specific time frame is higher.

5. Can conditional probability be applied to other types of random variables?

Yes, conditional probability can be applied to any type of random variable. However, it is particularly useful for exponential random variables due to their properties and applications in various fields.

Similar threads

Replies
1
Views
394
Replies
5
Views
483
Replies
5
Views
1K
Replies
30
Views
3K
Replies
1
Views
406
Replies
1
Views
198
Back
Top