Titlebook: High Speed A/D Converters; Understanding Data C Moscovici Alfi Book 2001 Springer Science+Business Media New York 2001 CMOS.Signal.analog.c

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performing the analysis of variance (ANOVA). .. The way it is taught here and in many other multivariate texts uses multiple regression, not the approach generally called “partitioning of sums of squares.” The results are identical to the way it is taught in basic statistics and experimental design

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ly quite . or “noisy” in the sense of containing considerable measurement error. The situation is therefore quite different from what was considered in the discussion of multiple regression—an important but contrasting model which assumed that the predictors were reliable. As was noted in the earlie

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have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel­ lect gave birth to the field of multivariate anal

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of the subset that leads to maximum separation among the centroids of the groups. The exploratory multivariate procedure of determining variables and a reduced set of functions called discriminants or discriminant functions is called discriminant analysis. Discriminants that are linear functions of

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oncepts and formulas essential to the understanding of data representation, data manipulation, model building, and model evaluation in applied multivariate analysis. The field of mathematics that deals with vectors and matrices is called linear algebra; numerous texts have been written about the app

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ponent analysis and an introduction to regression on multivariate images. Figure 1 gives an overview of the methods of multivariate image analysis. This chapter contains two more advanced examples, that are closer to chemical practice. One example is from a visual and near-infrared camera digitizati

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978-1-4757-7464-1Springer Science+Business Media New York 2001

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High Speed A/D Converters978-0-306-46994-7Series ISSN 0893-3405

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