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Offers a treatment of various aspects of conditional expectations and probability measures and their structural analysis. This text covers applications in... Læs mere
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Addressing a variety of topics related to this advanced aspect of statistics, the Handbook of Regression... Læs mere
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Discusses the asymptotic theory of semimartingales needed for researchers working in the area of statistical inference for stochastic processes. This book... Læs mere
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"Business, government, and industry all need efficient and accurate methods of summarizing and extracting information from the huge amounts of data collected and stored electronically.... Læs mere
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Offers an introduction to investigative methods that, in addition to outlining statistical principles and describing methods of calculations,... Læs mere
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Presents most of the developments in continuous matrix variate distribution theory. This work investigates the range of matrix variate distributions, including: matrix... Læs mere
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Many non-statisticians have a daily use for basic statistics but need to be able to reference tables and use data without getting bogged down by advanced statistical theory and methods. This work features a modern set of tables with textual description and at least one example.
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Bayesian methods in reliability cannot be fully utilized and understood without understanding the essential differences between frequentist probability and... Læs mere
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Explores how to set the parameters of a queueing system, before putting it into operation. This book considers various optimality criteria, including individual, social, class, and facility optimal solutions.
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Contains articles that review developments in theoretical and applied statistical science. This work highlights noteworthy results, illustrates their... Læs mere
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Complex stochastic systems comprise an area of research, from modelling specific applications to estimation procedures and computing issues. This book addresses various... Læs mere
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Deals with the techniques for fitting and choosing models that are linear in their parameters and to understanding and correcting the bias introduced by selecting a model.... Læs mere