Titlebook: Statistical Inference and Machine Learning for Big Data; Mayer Alvo Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu

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Exponential Tilting and Its Applicationsarametric family of densities to model the alternative to the null hypothesis. The type of embedding proposed by Neyman and further elaborated by Rayner et al. [.] focused on global properties of the data. We begin with a description of the Neyman approach and then proceed by defining an embedding w

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2365-5674 ience.Suitable for upper undergraduate and graduate students.This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to il

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Basic Concepts in Statisticsmeter as opposed to some alternative hypothesis. Probability enables us to quantify the level of confidence that an interval constructed on the basis of the random sample will actually contain the true value of a parameter.

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Multivariate Methodst sections, we first present subjects which are generalizations of univariate analysis. Topics such as repeated measure designs, principal component analysis, canonical correlation, and multidimensional scaling which have no counterpart in univariate statistics are treated next.

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