Foundations Statistical Inference Proceedings (9 results)
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23 figs., 18 tables, XI, 230 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Contributions to Statistics. Sprache: Englisch.
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Foundations of Statistical Inference : Proceedings of the Shoresh Conference 2000
Haitovsky, Yoel (EDT); Lerche, Hans Rudolf (EDT); Ritov, Yaacov (EDT); Ritov, Yaacov
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Foundations of Statistical Inference : Proceedings of the Shoresh Conference 2000
Haitovsky, Yoel (EDT); Lerche, Hans Rudolf (EDT); Ritov, Yaacov (EDT); Ritov, Yaacov
- Softcover
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Foundations of Statistical Inference : Proceedings of the Shoresh Conference 2000
Haitovsky, Yoel (EDT); Lerche, Hans Rudolf (EDT); Ritov, Yaacov (EDT); Ritov, Yaacov
- Softcover
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Foundations of Statistical Inference : Proceedings of the Shoresh Conference 2000
Haitovsky, Yoel (EDT); Lerche, Hans Rudolf (EDT); Ritov, Yaacov (EDT); Ritov, Yaacov
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume is a collection of papers presented at a conference held in Shoresh Holiday Resort near Jerusalem, Israel, in December 2000 organized by the Israeli Ministry of Science, Culture and Sport. The theme of the conference was 'Fou…ndation of Statistical Inference: Applications in the Medical and Social Sciences and in Industry and the Interface of Computer Sciences'. The following is a quotation from the Program and Abstract booklet of the conference. 'Over the past several decades, the field of statistics has seen tremendous growth and development in theory and methodology. At the same time, the advent of computers has facilitated the use of modern statistics in all branches of science, making statistics even more interdisciplinary than in the past; statistics, thus, has become strongly rooted in all empirical research in the medical, social, and engineering sciences. The abundance of computer programs and the variety of methods available to users brought to light the critical issues of choosing models and, given a data set, the methods most suitable for its analysis. Mathematical statisticians have devoted a great deal of effort to studying the appropriateness of models for various types of data, and defining the conditions under which a particular method work. ' In 1985 an international conference with a similar title\* was held in Is rael. It provided a platform for a formal debate between the two main schools of thought in Statistics, the Bayesian, and the Frequentists.
