Assume X1,X2, ., Xn are random samples from X~Exponential(0). .... 1) Find the MLE estimator of 0. 2) Find Cramer Rao lower bound for this estimator and analyze the efficiency. More precisely, you have to find the variance of the estimator using conventional methods and compare it to the Cramer Rao lower bound; 3) Assume that we have taken a random sample from such a distribution and the sample
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
My data sets were given picture which I sent in front of my name
![('Bashir', 'Hatamov')
[65747668 4 267 623 4674 664 6648 5 64 6]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe8165b54-1e9b-4b79-aa5b-d063ee0876a3%2F82a3bb23-adde-4f27-8664-9ed3694dfd78%2Fv0b8iuk_processed.png&w=3840&q=75)
![Question 3
Assume X1, X2, ... , Xn are random samples from X~Exponential(0).
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1) Find the MLE estimator of 0.
2) Find Cramer Rao lower bound for this estimator and analyze the efficiency. More
precisely, you have to find the variance of the estimator using conventional methods and
compare it to the Cramer Rao lower bound;
3) Assume that we have taken a random sample from such a distribution and the sample
mean X equals to the sum of the squares of the first 5 values in your dataset. Apply the
delta method to obtain the asymptotic distribution of X2.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe8165b54-1e9b-4b79-aa5b-d063ee0876a3%2F82a3bb23-adde-4f27-8664-9ed3694dfd78%2Fde1ldpq_processed.png&w=3840&q=75)
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