Transcription of Principles of Parametric Inference - Statistics
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Principles of Parametric Inference - Statistics
Principles of Parametric InferenceMoulinath BanerjeeUniversity of MichiganSeptember 11, 2012 The object of statistical Inference is to glean information about an underlying populationbased on a sample collected from it. The actual population is assumed to be described bysome probability distribution. statistical Inference is concerned with learning about thedistribution or at least some characteristics of the distribution that are of scientific Parametric statistical Inference , which we will be primarily concerned with in thiscourse, the underlying distribution of the population is taken to be parametrized by aEuclidean parameter. In other words, there exists a subset ofk-dimensional Euclideanspace such that the class of distributionsPof the underlying population can be writtenas{P : }.
Principles of Parametric Inference Moulinath Banerjee University of Michigan September 11, 2012 The object of statistical inference is to glean information about an underlying population based on a sample collected from it. The actual population is assumed to be described by
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