Let \(X_1,X_2,\ldots ,X_n\) be independent exponential \((\theta _i)\) random variables, i.e. the density of \(X_i\) is \[ f(t,\theta _i)= \begin {cases} 0, & \text {if } -\infty <t<0,\\ \dfrac {1}{\theta _i}e^{-t/\theta _i}, & \text {if } 0\leq t<\infty . \end {cases} \] We wish to test \(H_0:\theta _1=\theta _2=\cdots =\theta _n\) against the alternative that \(H_0\) is not true.
(a) Find the likelihood ratio test.
(b) Show that the likelihood ratio test is distribution free under \(H_0\).
(c) Show that the likelihood ratio test is equivalent with the \(\chi ^2\) test under \(H_0\).
(d) Approximate the critical values of the likelihood ratio test under \(H_0\).