Empirical likelihood-based tests for stochastic ordering. [PDF]
Bernoulli (Andover), 2013 This paper develops an empirical likelihood approach to testing for the presence of stochastic ordering among univariate distributions based on independent random samples from each distribution.
Barmi HE, McKeague IW.
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Empirical likelihood based tests for stochastic ordering under right censorship. [PDF]
Electron J Stat, 2016 This paper develops an empirical likelihood approach to testing for stochastic ordering between two univariate distributions under right censorship. The proposed test is based on a maximally selected local empirical likelihood statistic.
Chang HW, McKeague IW.
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Bayesian dose-finding designs for combination of molecularly targeted agents assuming partial stochastic ordering. [PDF]
Stat Med, 2015 Molecularly targeted agent (MTA) combination therapy is in the early stages of development. When using a fixed dose of one agent in combinations of MTAs, toxicity and efficacy do not necessarily increase with an increasing dose of the other agent.
Guo B, Li Y.
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Stochastic ordering of complexoform protein assembly by genetic circuits. [PDF]
PLoS Computational Biology, 2020 Top-down proteomics has enabled the elucidation of heterogeneous protein complexes with different cofactors, post-translational modifications, and protein membership. This heterogeneity is believed to play a previously unknown role in cellular processes.
Mikkel Herholdt Jensen +4 more
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Relations Between Stochastic Orderings and generalized Stochastic Precedence [PDF]
Probability in the Engineering and Informational Sciences, 2014 The concept of "stochastic precedence" between two real-valued random variables has often emerged in different applied frameworks. In this paper we consider a slightly more general, and completely natural, concept of stochastic precedence and analyze its
De Santis, Emilio +2 more
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NONPARAMETRIC GOODNESS-OF-FIT TESTS FOR UNIFORM STOCHASTIC ORDERING. [PDF]
Ann Stat, 2017 Tang CF, Wang D, Tebbs JM.
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Tests for stochastic ordering under biased sampling. [PDF]
J Nonparametr Stat, 2016 Chang HW, El Barmi H, McKeague IW.
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Entropy-Based Uncertainty Quantification in Linear Consecutive k-out-of-n:G Systems via Cumulative Residual Tsallis Entropy [PDF]
EntropyQuantifying uncertainty in complex systems is a central problem in reliability analysis and engineering applications. In this work, we develop an information-theoretic framework for analyzing linear consecutive k-out-of-n:G systems using the cumulative ...
Boshra Alarfaj +2 more
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Second-order stochastic comparisons of order statistics [PDF]
Statistics, 2021 We study the problem of comparing ageing patterns of the lifetime of k-out-of-n systems. Mathematically, this reduces to being able to decide about a stochastic ordering relationship between different order statistics. We discuss such relationships with respect to second-order stochastic dominance, obtaining characterizations through the verification ...
Lando, Tommaso +2 more
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Entropy, 2023 The geometric first-order integer-valued autoregressive process (GINAR(1)) can be particularly useful to model relevant discrete-valued time series, namely in statistical process control.
Manuel Cabral Morais
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