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Titlebook: Computational Statistics; Volume 1: Proceeding Yadolah Dodge (Professor of Statistics and Operati Conference proceedings 1992 Springer-Verl

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书目名称Computational Statistics
副标题Volume 1: Proceeding
编辑Yadolah Dodge (Professor of Statistics and Operati
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图书封面Titlebook: Computational Statistics; Volume 1: Proceeding Yadolah Dodge (Professor of Statistics and Operati Conference proceedings 1992 Springer-Verl
描述The Role of the Computer in Statistics David Cox Nuffield College, Oxford OXIINF, U.K. A classification of statistical problems via their computational demands hinges on four components (I) the amount and complexity of the data, (il) the specificity of the objectives of the analysis, (iii) the broad aspects of the approach to analysis, (ill) the conceptual, mathematical and numerical analytic complexity of the methods. Computational requi­ rements may be limiting in (I) and (ill), either through the need for special programming effort, or because of the difficulties of initial data management or because of the load of detailed analysis. The implications of modern computational developments for statistical work can be illustrated in the context of the study of specific probabilistic models, the development of general statistical theory, the design of investigations and the analysis of empirical data. While simulation is usually likely to be the most sensible way of investigating specific complex stochastic models, computerized algebra has an obvious role in the more analyti­ cal work. It seems likely that statistics and applied probability have made insufficient use of developments
出版日期Conference proceedings 1992
关键词Statistical Computing; calculus; classification; modeling; statistics
版次1
doihttps://doi.org/10.1007/978-3-662-26811-7
isbn_softcover978-3-662-26813-1
isbn_ebook978-3-662-26811-7
copyrightSpringer-Verlag Berlin Heidelberg 1992
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Correspondance Table between Two Sets, One Partitioned, and Associated Tablesorcet table C. associated either with k. or with the table on which the correspondence analysis (CA) gives the “within-analysis” of k.. Using Marcotorchino and Michaud (1979) approach, We can then define criteria for partitioning one of the two sets I or J.
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Ordinal Principal Component Analysise use of a so-called ordinal principal component for this purpose. The ordinal principal component is defined as a new variable which orders the sample observations in such a way that the sum of the squares of the (rank) correlation coefficients between the original variables and the ordinal princip
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https://doi.org/10.1007/978-3-031-23547-4systems of simultaneous linear algebraic equations, linear least squares problems, and matrix eigenvalue problems. Such computations form the core of perhaps the majority of statistical methods..The library provides a uniform set of subroutines to solve the most common linear algebra problems and ru
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