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Big Data and Data Science Engineeringcurve models, GMANOVA models). Finally, we consider testing for whether a subset of the dependent variables actually provides us with additional information over and above the variables not considered in the subset. In Chap. . testing for additional information is seen as an important tool in linear discriminant analysis.
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Studies in Computational Intelligence analysis of variance addresses the question of whether the groups are different whereas discriminant analysis seeks to specify how the groups are different. Allocation is the problem of assigning new individuals to their appropriate group. Allocation procedures have immediate application to diagnosing medical conditions.
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Textbook 2019Latest editionndard linear model theory—best linear prediction, projections, and Mahalanobis distance— to extend standard linear modeling into the realms of Statistical Learning and Dependent Data. .This new edition features a wealth of new and revised content. In Statistical Learning it delves into nonparametr
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