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

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The Security of Mobile Phones (GSM)cus on the variance criterion. In Section 4, we summarize the conclusions of numerical experiments performed to analyze the practical behaviour of both algorithms to optimizing the variance criterion.

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https://doi.org/10.1007/978-3-030-13962-9rapid implementation of interpreters for new and mutually quite different languages, all of which are based on a core of statistical routines. Examples of the use of a working prototype, SOL, are given. SOL incorporates generalized linear modelling facilities in a Pascal-like framework extended to include functional language facilities.

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Programming Languages for Statistical Computationrapid implementation of interpreters for new and mutually quite different languages, all of which are based on a core of statistical routines. Examples of the use of a working prototype, SOL, are given. SOL incorporates generalized linear modelling facilities in a Pascal-like framework extended to include functional language facilities.

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MavStream: DEVELOPMENT OF A DSMS PROTOTYPE,d as an application domain because it is analogous to many important recognition applications based on a noisy channel model (such as speech recognition), though somewhat simpler and therefore possibly more amenable to detailed statistical analysis.

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Estimation Procedures for Language Context: Poor Estimates are Worse than Noned as an application domain because it is analogous to many important recognition applications based on a noisy channel model (such as speech recognition), though somewhat simpler and therefore possibly more amenable to detailed statistical analysis.

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https://doi.org/10.1007/978-1-4471-5079-4ra of graphs (see Fiedler [4] — is also introduced together with .. We shall show that the existence of . “small” eigenvalues is a necessary but not sufficient condition for the existence of a good classification. In addition, the representatives of the vertices in an optimal .-dimensional Euclidean

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A Classification Algorithm for Binary Observations Based on Euclidean Representations of Hypergraphsra of graphs (see Fiedler [4] — is also introduced together with .. We shall show that the existence of . “small” eigenvalues is a necessary but not sufficient condition for the existence of a good classification. In addition, the representatives of the vertices in an optimal .-dimensional Euclidean

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hnical 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", 978-3-7908-0475-1978-3-642-50096-1