Chapter 6: Q15E (page 359)
Prove Theorem 6.2.5.
Short Answer
It is proved that If and if \(g\left( z \right)\)is a function that is continuous at z=b then
Chapter 6: Q15E (page 359)
Prove Theorem 6.2.5.
It is proved that If and if \(g\left( z \right)\)is a function that is continuous at z=b then
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Suppose that ,, and \(g\left( {z,y} \right)\)is a function that is continuous at \(\left( {z,y} \right) = \left( {b,c} \right)\). Prove that \(g\left( {{Z_n},{Y_n}} \right)\)converges in probability to \(g\left( {b,c} \right)\).
Prove that if a sequence\({Z_1},{Z_2},...\)converges to a constant b in quadratic mean, then the sequence also converges to b in probability.
Suppose that\({X_1},{X_2}...{X_n}\)form a random sample from the Bernoulli distribution with parameter p. Let\(\overline {{X_n}} \)be the sample average. Find a variance stabilizing transformation for\(\overline {{X_n}} \). Hint: When trying to find the integral of ,\({\left( {p\left[ {1 - p} \right]} \right)^{ - \frac{1}{2}}}\)make the substitution\(z = \sqrt p \)and then think about arcsin, the inverse of the sin function.
Let \({X_1},{X_2},...\)be a sequence of i.i.d. random variables having the exponential distribution with parameter 1. Let \({Y_n} = \sum\limits_{i = 1}^n {{X_i}} \)for each \(n = 1,2,...\)
a. For each\(u > 1\), compute the Chernoff bound on \(\Pr \left( {{Y_n} > nu} \right)\).
b. What goes wrong if we try to compute the Chernoff bound when\(u < 1\).
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