Let x1, x2, . . . , xn be independent samples from a geometric distribution with unknown parameter p. What is the maximum likelihood estimator for p? Suppose that we have two independent binomial random variables X \sim Bin(n, px) and Y \sim...
Norton R M.The double exponential distribution:Using calculus to find a maximum likelihood estimator. The American Statistician . 1984Norton, R. M. (1984). The double exponential distribution: Using calculus to find a maximum likelihood estimator. The American Statistician, 38(2), 135-136....
Let X1...Xn be a sample from a distribution with a uniform density function between a and b. Determine the maximum likelihood estimator of a and b. Let X_1, ..., X_n be a random sample from an exponential distribut...
Let f(x, \theta) = (1/\theta)x (1/\theta)x (1 - \theta)/\theta, 0 is less than x is less than 1, 0 is less than \theta is less than \infty. (a) Show that the maximum likelihood estimator of \theta = L...
(p. 457) Papers with Reither or Yang as first author are proponents of the model, others are for the most part critical of it A somewhat parallel debate also exists on Yang and Land's Intrinsic estimator as a means of tackling the problem (see Pelzer et al. 2015; Te Grotenhuis et ...
In addition, we introduce an unbiased gradient estimator, RELAX, leading to an efficient and effective one-pass optimization strategy to learn an efficient and accurate DA policy. We conduct extensive experiments on CIFAR-10, CIFAR-100, SVHN, and ImageNet datasets. Furthermore, we demonstrate the...
In addition, we introduce an unbiased gradient estimator, RELAX, leading to an efficient and effective one-pass optimization strategy to learn an efficient and accurate DA policy. We conduct extensive experiments on CIFAR-10, CIFAR-100, SVHN, and ImageNet datasets. Furthermore, we demonstrate the...
Find the maximum likelihood estimator for alpha. A random variable Y has cdf G_Y (y) = 10y^9 - 9y^{10} on 0 <= y <= 1(a) Calculate the expected value and variance of the random variable Y (b) Calculate E (Y^{-9})....
Profile likelihood confidence intervals are a robust alternative to Wald's method if the asymptotic properties of the maximum likelihood estimator are not met. However, the constrained optimization problem defining profile likelihood confidence intervals can be difficult to solve in these situations, ...
nonparametric maximum likelihood estimatorThe estimation of the nonparametric maximum likelihood estimate (NPMLE) of the bivariate distribution function on interval-censored data is a recent topic of research. Among other things, it provides a basic tool for checking a parametric model for the bivariate...