Showing 1 - 20 results of 72 for search '(( ((statistical modeling) OR (statistical sampling)) theory ) OR ( statistical coding theory ))', query time: 0.18s Refine Results
  1. 1

    Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

    Published 2015
    “…It is important to make general statements that characterises time series extreme models over a range of sample sizes with varying degree of dependence. …”
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    Thesis
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    Statistics and Probability Theory : In Pursuit of Engineering Decision Support / by Faber, M. H. (Michael Havbro), author 656113

    Published [201
    “…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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    software, multimedia
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    Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

    Published 2015
    “…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
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    Journal Article
  5. 5

    Multiscale approach to nematic liquid crystals via statistical field theory by Lu, Bing-Sui

    Published 2018
    “…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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    Journal Article
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    A reformulation of additive models by Wozniakowski, Alex

    Published 2022
    “…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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    Thesis-Doctor of Philosophy
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    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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    Thesis
  20. 20

    The application of prospect theory in travel choice behavioral analysis by Hariharan Subramaniam.

    Published 2012
    “…The most widely used and accepted model for predicting and analysing of travel behaviour would be the Utility Theory. …”
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    Final Year Project (FYP)