Titlebook: Exploring Multivariate Data with the Forward Search; Anthony C. Atkinson,Marco Riani,Andrea Cerioli Book 2004 Springer Science+Business Me

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978-1-4419-2353-0Springer Science+Business Media New York 2004

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Exploring Multivariate Data with the Forward Search978-0-387-21840-3Series ISSN 0172-7397 Series E-ISSN 2197-568X

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B. Baljet,F. Van Der Werf,A. J. Otto the Swiss heads data to exemplify the properties of bivariate boxplots for data analysis. As a preparation for material on transformations of data in Chapter 4 we compare analyses of the data on national track records for women when the response is the time for the race and also its reciprocal, spe

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The history of the ophthalmoscope why a transformation might be expected to be helpful in some examples. If the data arise from a counting process, they often have a Poisson distribution and the square root transformation will provide observations with an approximately constant variance, independent of the mean. Similarly, concentr

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John Fronimopoulos,J. Stefanellisf the analysis is to develop a rule for the allocation of a new observation of unknown origin to the most likely group. For example, in the case of the Swiss bank notes there are two groups, genuine notes and forgeries. The purpose of the analysis would be to develop a rule for determining whether o

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Asymptotic Freedom, Confinement and QCDin space. By far the most common applications have been on the earth’s surface, where each location can be described by a two-dimensional vector of geographical coordinates. One example is the analysis of yield from spatially contiguous plots in an experimental design, when the plots are subject to

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