Calculating Risk Function of Normal Distribution Sample

In summary, the formula for calculating the risk function of a normal distribution sample is R(x) = 1 - Φ((x-μ)/σ), where Φ is the cumulative distribution function of a standard normal distribution, x is the threshold value, μ is the mean of the sample, and σ is the standard deviation of the sample. This function is used in statistical analysis to determine the probability of a random variable exceeding a certain threshold value. It is specific to normal distributions and cannot be used for non-normal distributions. The risk function can be interpreted as the likelihood of an event occurring that goes beyond a certain level of risk or tolerance, and is primarily affected by the mean and standard deviation of the sample. Other factors such as sample
  • #1
kimkibun
30
1

Homework Statement


Let X1,X2 be a random sample of size 2, from a normal distribution with mean μ and σ2=1. Let T=t(X1,X2)=X1+X2 be the estimator of μ and l(t;μ)=t-μ be the loss function. Compute risk function R(μ).

Homework Equations


R(μ)=∫∫(l(t;μ))∏f(xi;μ)dxi


The Attempt at a Solution


Since we have a normal distribution, then

∏f(xi;μ)=(1/2∏)exp(-1/2)[(x1-μ)2+(x2-μ)2]

l(t;μ)=t-μ=(X1+X2)-μ

so the risk function is given by,

R(μ)=∫∫[(X1+X2)-μ](1/2∏)exp(-1/2)[(x1-μ)2+(x2-μ)2]dx1dx2

i just want to know if my equation for risk function is correct.

 
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  • #2


Hi there! Your equation for the risk function looks correct to me. However, I would suggest double-checking your calculations to make sure everything is accurate. Also, you may want to consider simplifying the expression further to make it more manageable. Good luck!
 

FAQ: Calculating Risk Function of Normal Distribution Sample

What is the formula for calculating the risk function of a normal distribution sample?

The formula for calculating the risk function of a normal distribution sample is: R(x) = 1 - Φ((x-μ)/σ)where Φ is the cumulative distribution function of a standard normal distribution, x is the threshold value, μ is the mean of the sample, and σ is the standard deviation of the sample.

How is the risk function of a normal distribution sample used in statistical analysis?

The risk function of a normal distribution sample is used to determine the probability of a random variable exceeding a certain threshold value. This is useful in statistical analysis for making decisions and evaluating potential risks in a given situation.

Can the risk function of a normal distribution sample be used for non-normal distributions?

No, the risk function of a normal distribution sample is specific to normal distributions. For non-normal distributions, other methods such as the Central Limit Theorem may be used to approximate the risk function.

How can the risk function of a normal distribution sample be interpreted?

The risk function represents the probability of a random variable exceeding a certain threshold value. This can be interpreted as the likelihood of an event occurring that goes beyond a certain level of risk or tolerance.

What factors can affect the risk function of a normal distribution sample?

The risk function of a normal distribution sample is primarily affected by the mean and standard deviation of the sample. Higher mean and standard deviation values will result in a higher risk function, indicating a greater likelihood of the random variable exceeding the threshold value. Additionally, sample size and the choice of threshold value can also impact the risk function.

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