Titlebook: Statistical Inference in Science; D. A. Sprott Book 2000 Springer Science+Business Media New York 2000 Likelihood.mathematical statistics.

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The Likelihood Function,egarded as coming from a hypothetical infinite population of possible observations having probability function .(.,θ) depending on an unknown parameter θ. The inferential structure of the model is fully specified by the three elements: the sample space . = ., the parameter space Ω = θ, and the proba

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Division of Sample Information II: Likelihood Structure, a single scalar parameter or a vector parameter of two components. In the former case likelihood functions can be plotted and likelihood intervals, or the union of such intervals, obtained. In the latter case likelihood contours can be plotted and likelihood regions obtained. The difficulty in deal

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0172-7397 textbooks treat inference as principally the reduction of the sample information to estimates and their marginal distribution and supposedly optimal properties. In contrast, this book emphasizes techniques for dividing the sample information into various parts addressing the diverse problems of infe

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