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
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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!
 

Related to Calculating Risk Function of Normal Distribution Sample

1. 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.

2. 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.

3. 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.

4. 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.

5. 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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