Order restricted inference for multivariate binary data with application to toxicology. [PDF]
J Am Stat Assoc, 2011 In many applications researchers collect multivariate binary response data under two or more, naturally ordered, experimental conditions. In such situations one is often interested in using all binary outcomes simultaneously to detect an ordering among the experimental conditions.
Davidov O, Peddada S.
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Order restricted inference for oscillatory systems for detecting rhythmic signals. [PDF]
Nucleic Acids Res, 2016 AbstractMotivationMany biological processes, such as cell cycle, circadian clock, menstrual cycles, are governed by oscillatory systems consisting of numerous components that exhibit rhythmic patterns over time. It is not always easy to identify such rhythmic components.
Larriba Y +3 more
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Order-Restricted Inference for Exponentiated Rayleigh Distribution Under Multiple Step-Stress Accelerated Life Test [PDF]
EntropyBoth frequentist and Bayesian approaches are presented in this paper for a multiple step-stress accelerated life test. It is assumed that the lifetime distributions of experimental units under each stress level conform to a two-parameter exponentiated ...
Bingqing Yu, Wenhao Gui
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Detecting Violations of Unidimensionality by Order-Restricted Inference Methods [PDF]
Frontiers in Applied Mathematics and Statistics, 2016 The assumption of unidimensionality and quantitative measurement represents one of the key concepts underlying most of the commonly applied of item response models.
Moritz eHeene +2 more
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Properties of Likelihood Inference for Order Restricted Models
Journal of Multivariate Analysis, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harold Sackrowitz, Arthur Cohen
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Order-Restricted Inference for Means with Missing Values
Biometrics, 2017 SummaryMissing values appear very often in many applications, but the problem of missing values has not received much attention in testing order-restricted alternatives. Under the missing at random (MAR) assumption, we impute the missing values nonparametrically using kernel regression.
Ping-Shou Zhong
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Order Restricted Inference for Exponential Step-Stress Models
IEEE Transactions on Reliability, 2009 In the context of multiple step-stress models, which is a special type of accelerated life-testing model, interest lies on the expected lifetimes of the experimental units under different stress levels. Although the expected lifetime is shortened as the stress level increases, this information has not been incorporated so far into the associated ...
, Maria Kateri
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Bounds on Mixtures of Distributions Arising in Order Restricted Inference
Annals of Statistics, 1982 In testing hypotheses involving order restrictions on a collection of parameters, distributions arise which are mixtures of standard distributions. Since tractable expressions for the mixing proportions generally do not exist even for parameter collections of moderate size, the implementation of these tests may be difficult.
Tim Robertson, F T Wright
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The Awareness-First Theory: A Coherence Principle Underlying Active Inference and Physical Law [PDF]
EntropyThe Free Energy Principle (FEP) and Active Inference provide a unifying variational framework for modelling perception, action, learning, and self-organisation across biological systems.
Jason Clarke
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Research of Inference Rules on Decision Implication and Variable Decision Implication [PDF]
Jisuanji kexue yu tansuo, 2022 Formal concept analysis is a data analysis method based on concept lattice, while decision implication and variable decision implication are two decision knowledge representations of formal concept analysis.
XUE Dongqian, ZHAI Yanhui, ZHANG Shaoxia, LI Deyu, XU Weihua
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