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tirling's Formula, which gives approximation for factorials, can be derived using CLT. (a) Suppose that X1,...
Stirling’s Formula, which gives approximation for factorials, can be derived using CLT. (a) Suppose that X1,...
Stirling’s Formula, which gives approximation for factorials, can be derived using CLT. (a) Suppose that X1, X2, · · · , Xn is an i.i.d. sample from Exp(1). Show that, for a standard normal random variable Z, (b) Show by differencing both sides of the approximation in part a. Then set x = 0 to get Stirling’s Formula. We were unable to transcribe this imageГ(n) уж
3. Suppose that X1,X2, ,Xn are i.id. N(0, σ2). Find a function of T(X)-Σǐii verges in...
3. Suppose that X1,X2, ,Xn are i.id. N(0, σ2). Find a function of T(X)-Σǐii verges in distribution to a normal distribution. State the mean and variance of your limiung normal distribution. 4. Stirling's Formula, which gives approximation for factorials, can be derived using CLT. (a) Suppose that X1, X2, random variable Z, .Xn is an ii.d. sample from Exp(1). Show that, for a standard normal PTPZ) (b) Show by differencing both sides of the approximation in part a. Then set...
Dr. Beldi Qiang STATWOB Flotllework #1 1. Let X.,No X~ be a i.İ.d sample form Exp(1),...
Dr. Beldi Qiang STATWOB Flotllework #1 1. Let X.,No X~ be a i.İ.d sample form Exp(1), and Y-Σ-x. (a) Use CLT to get a large sample distribution of Y (b) For n 100, give an approximation for P(Y> 100) (c) Let X be the sample mean, then approximate P(.IX <1.2) for n 100. x, from CDF F(r)-1-1/z for 1 e li,00) and ,ero 2Consider a random sample Xi.x, 、 otherwise. (a) Find the limiting distribution of Xim the smallest order...
(b) For n = 100, give an approximaation for P(Y> 100) (c) Let X be the...
(b) For n = 100, give an approximaation for P(Y> 100) (c) Let X be the sample mean, then approximate P(1.1< 1.2) for -100. 2. Consider a random sample XX from CDF F(a) 1-1/ for z [1, 0o) and zero otherwise. (a) Find the limiting distribution of XiI.n, the smallest order statistic. (b) Find the limiting distribution of XI (c) Find the limiting distribution of n In X1:m- 3. Suppose that X,,, are iid. N(0,o2). Find a function of T(x)x...
(a) Suppose that i, X2,... , In is an i.i.d. sample from Exp(1). Show that, for...
(a) Suppose that i, X2,... , In is an i.i.d. sample from Exp(1). Show that, for a standard normal random variable Z b) Show Г(n) by differencing both sides of the approximation in part a. Then set a -0 to get Stirling's Formula. 5. Suppose that Y is an id sample from Negative Binomial (n,p). Give a normal approximation of Yn use CLT, when n is large. 6. (Mandatory for Graduate Student. Extra credit for undergrad.) Let Ai, converges to...
Let X1,X2, variance ơ2. Suppose that n < 30 (and the CLT is not applicable). Use...
Let X1,X2, variance ơ2. Suppose that n < 30 (and the CLT is not applicable). Use Chebyshev's inequality for X to construct a 90% CI for μ. Discuss a disadvantage of this method when it is additionally known that the population is normal. 9. , Xn be a random sample from a population with an unknown μ and known
6. Suppose that X1,X2 , Xn form a random sample from a normal distribution N(μ, σ 2), both unknow...
6. Suppose that X1,X2 , Xn form a random sample from a normal distribution N(μ, σ 2), both unknown. consider the hypotheses Construct a likelihood ratio test and show that this LRT is equivalent to a t-test
6. Suppose that X1,X2 , Xn form a random sample from a normal distribution N(μ, σ 2), both unknown. consider the hypotheses Construct a likelihood ratio test and show that this LRT is equivalent to a t-test
suppose X1 -> Xn is a random sample from a uniform distribution on the interval [0,theta]....
suppose X1 -> Xn is a random sample from a uniform distribution on the interval [0,theta]. let X1 = min {X1,X2,...Xn} and let Yn= nX1. show that Yn converges in distribution to an exponential random variable with mean theta.
Suppose we assume that X1, X2, . . . , Xn is a random sample from...
Suppose we assume that X1, X2, . . . , Xn is a random sample from a「(1, θ) distribution a) Show that the random variable (2/0) X has a x2 distribution with 2n degrees of freedom. (b) Using the random variable in part (a) as a pivot random variable, find a (1-a) 100% confidence interval for
Suppose X1,X2, .. ,X, is a random sample from a standard normal distribution and let Z...
Suppose X1,X2, .. ,X, is a random sample from a standard normal distribution and let Z be another standard normal variable that is independent of X1, X2, .., X,. 9 9 9 Determine the distribution of each of the variables X, U and V. (a) (b) Determine the distribution of the variable 3Z NU Determine the distribution of the variable W- (c) (d) Determine the distribution of the variable R -4y (where Y is the variable from (C)
3. Suppose that X1,X2, ,Xn are i.id. N(0, σ2). Find a function of T(X)-Σǐii verges in distribution to a normal distribution. State the mean and variance of your limiung normal distribution. 4. Stirling's Formula, which gives approximation for factorials, can be derived using CLT. (a) Suppose that X1, X2, random variable Z, .Xn is an ii.d. sample from Exp(1). Show that, for a standard normal PTPZ) (b) Show by differencing both sides of the approximation in part a. Then set...
Dr. Beldi Qiang STATWOB Flotllework #1 1. Let X.,No X~ be a i.İ.d sample form Exp(1), and Y-Σ-x. (a) Use CLT to get a large sample distribution of Y (b) For n 100, give an approximation for P(Y> 100) (c) Let X be the sample mean, then approximate P(.IX <1.2) for n 100. x, from CDF F(r)-1-1/z for 1 e li,00) and ,ero 2Consider a random sample Xi.x, 、 otherwise. (a) Find the limiting distribution of Xim the smallest order...
(b) For n = 100, give an approximaation for P(Y> 100) (c) Let X be the sample mean, then approximate P(1.1< 1.2) for -100. 2. Consider a random sample XX from CDF F(a) 1-1/ for z [1, 0o) and zero otherwise. (a) Find the limiting distribution of XiI.n, the smallest order statistic. (b) Find the limiting distribution of XI (c) Find the limiting distribution of n In X1:m- 3. Suppose that X,,, are iid. N(0,o2). Find a function of T(x)x...
(a) Suppose that i, X2,... , In is an i.i.d. sample from Exp(1). Show that, for a standard normal random variable Z b) Show Г(n) by differencing both sides of the approximation in part a. Then set a -0 to get Stirling's Formula. 5. Suppose that Y is an id sample from Negative Binomial (n,p). Give a normal approximation of Yn use CLT, when n is large. 6. (Mandatory for Graduate Student. Extra credit for undergrad.) Let Ai, converges to...
Let X1,X2, variance ơ2. Suppose that n < 30 (and the CLT is not applicable). Use Chebyshev's inequality for X to construct a 90% CI for μ. Discuss a disadvantage of this method when it is additionally known that the population is normal. 9. , Xn be a random sample from a population with an unknown μ and known
6. Suppose that X1,X2 , Xn form a random sample from a normal distribution N(μ, σ 2), both unknown. consider the hypotheses Construct a likelihood ratio test and show that this LRT is equivalent to a t-test
6. Suppose that X1,X2 , Xn form a random sample from a normal distribution N(μ, σ 2), both unknown. consider the hypotheses Construct a likelihood ratio test and show that this LRT is equivalent to a t-test
Suppose we assume that X1, X2, . . . , Xn is a random sample from a「(1, θ) distribution a) Show that the random variable (2/0) X has a x2 distribution with 2n degrees of freedom. (b) Using the random variable in part (a) as a pivot random variable, find a (1-a) 100% confidence interval for
Suppose X1,X2, .. ,X, is a random sample from a standard normal distribution and let Z be another standard normal variable that is independent of X1, X2, .., X,. 9 9 9 Determine the distribution of each of the variables X, U and V. (a) (b) Determine the distribution of the variable 3Z NU Determine the distribution of the variable W- (c) (d) Determine the distribution of the variable R -4y (where Y is the variable from (C)
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