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Titlebook: COMPSTAT; Proceedings in Compu Konstantin Momirović,Vesna Mildner Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Estima

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书目名称COMPSTAT
副标题Proceedings in Compu
编辑Konstantin Momirović,Vesna Mildner
视频videohttp://file.papertrans.cn/233/232012/232012.mp4
图书封面Titlebook: COMPSTAT; Proceedings in Compu Konstantin Momirović,Vesna Mildner Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Estima
描述Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extent depends on the development of data analysis methods and techniques, which, due to the necessity of application of computers for that purpose, actually means that it practically depends on the advancement and orientation of computer statistics. Every other year the International Association for Statistical Computing sponsors the organizition of meetings of individual s professiona77y involved in computational statistics. Since these meetings attract professionals from allover the world, they are a good sample for the estimation of trends in this area which some believe is a statistics proper while others claim it is computer science. It seems, though, that an increasing number of colleagues treat it as an independent scientific or at least technical discipline. This volume contains six invited papers, 41 contributed papers and, finally, two papers which are, formally, software descriptions, but it was agreed by the Program Committee that they should be included in a separate section entitled "Notes about new developments in statistical software",
出版日期Conference proceedings 1990
关键词Estimator; Factor analysis; Fitting; Generalized linear model; Likelihood; Time series; Variance; classific
版次1
doihttps://doi.org/10.1007/978-3-642-50096-1
isbn_softcover978-3-7908-0475-1
isbn_ebook978-3-642-50096-1
copyrightSpringer-Verlag Berlin Heidelberg 1990
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A Classification Algorithm for Binary Observations Based on Euclidean Representations of Hypergraphser is to classify the vertices of this hypergraph in the way that “similar” vertices (those having many incident edges in common) be of the same cluster. The problem is formulated as follows: given a connected hypergraph with . vertices and fixing the integer . (1 ≤ . ≤ .), we are looking for .-part
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Agglomerative Hierarchical Multicriteria Clustering Using Decision Ruleser the agglomerative hierarchical method based on decision rules for making decisions under uncertainty is proposed for solving multicriteria clustering problem. An application of proposed approach to Rosenberg and Kim kinship data is presented.
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GLIMTREE: RECPAM Trees with the Generalized Linear Modelf special importance, y, which we shall call ., to other variables, here referred to as .. A linear prediction rule is a linear combination of the predictors whose values represent the expected value of the response variable, given the predictors. In the classical paradigm, the outcome variable is a
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Prototyping Dynamic Graphics Functions in Sfficient, but non-portable code. Portability is especially important in this area as critical assessment of many of the ideas has yet to be undertaken. We provide crude versions of some existing dynamic graphics operations in the (new) S language [1]. S is UNIX® based and widely distributed. Our fun
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Programming Languages for Statistical Computationspecifically designed for statistical applications [3]..Some interest has been shown in the possible applicability of the functional programming style. For example an implementation of a statistical language based on the functional programming language Lisp has been carried out by Tierney [8]. The g
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Knowledge Modelling for Statistical Consultation Systems; Two Empirical Studiestical consultation and on the application of analysis methods are so large, that it prevents general acceptance of statistical consultation systems. Of course, one could design a support system based on knowledge acquisition with a single expert. However, we preferred to consider first how serious t
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Computer Assisted Interpretation of Conditional Independence Graphset of data. Through the use of CIGE, the computer software described in this paper, it is now possible to represent without ambiguity a much larger number of log-linear models fitted to discrete data, as well as to represent a certain class of models, the covariance selection models, fitted to conti
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