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In this lesson, some approximate and asymptotic versions of confidence sets are explored. The purpose here is to illustrate some methods that will be of use in more complicated situations, methods…
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There are several properties to be considered when considering a point estimator from an asymptotic perspective. In this lesson, the concepts of consistency and efficiency are investigated. As…
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The likelihood ratio method of hypothesis testing is related to maximum likelihood estimators. Likelihood ratio tests are as widely used as maximum likelihood estimation. In this lesson, we provide…
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Example to illustrate finding the maximum likelihood estimator of the rate of a Poisson distribution.
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This example illustrates how to find the maximum likelihood estimator (MLE) of the upper bound of a uniform(0, B) distribution. In this example, calculus cannot be used to find the MLE since the…
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The method of maximum likelihood is, by far, the most popular technique for deriving estimators. It is based on finding a function of the data at which the likelihood achieves a global maximum. In…
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