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Showing 1 to 14 of 14 for “"Binomial distributions"”.
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Advances in Survival Analysis: Accurate Partial Likelihood Computation by Poisson-Binomial Distributions and Nonparametric Competing Risk Cox Model
… computation method based on the Poisson-binomial distribution. Although ties are common in real studies, existing Cox model theory largely overlooks tied data. In contrast, our approach accommodates both grouped data with ties and continuous data without ties, offering a unified …
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The sequential selection of judges for organoleptic testing
… Wald and that developed by Rao may be applied to binomial distributions and may be used to select judges for taste testing experiments. The duo-trio or triangle test may both be used as the fundamental test in either sequential process. Wald has applied his sequential analysis to binomial …
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Testing shape restriction properties of probability distributions in a unified way
… of testing structured properties of discrete distributions. Specifically, given sample access to an arbitrary distribution D over [n] and a property P, the goal is to distinguish between ... Building on a result of [9], we develop a general algorithm for this question, which applies to a large …
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A Two-Parameter Lindley-Binomial Distribution: Properties and Applications
The binomial distribution is a common and well known distribution that many situations and applications of binomial distribution can be found. In the real life anything that can be thought of a success or a failure can be considered as a Binomial distribution. However, this kind of instances does …
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Modelling to compare harvest regulations in recreational fisheries: case study of smallmouth bass fisheries
Negative binomial distributions were fitted for ten sets of complete trip creel survey data from the New and Shenandoah Rivers in Virginia and West Virginia. The fits for eight of ten datasets were not significantly different from the observed distributions (P< 0.05). The negative binomial provides …
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Surveillance of Negative Binomial and Bernoulli Processes
… count data modeled from the Poisson and negative binomial distributions in a healthcare setting. Syndromic counts are currently monitored by the BioSense program within the Centers for Disease Control and Prevention (CDC) to provide real-time biosurveillance. The Early Aberration Reporting System …
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Inoculum pattern and relationship between incidence of black root rot of tobacco and inoculum density of Thielaviopsis basicola in field soil
… by the Poisson, Neyman Type A, and negative binomial distributions. Temperature-tank studies were conducted to investigate inoculum density-disease relationships. Two cultivars of tobacco were grown in soil naturally infested with T. basicola. The soil was thoroughly mixed before use to …
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Parameter Estimation for Normally Distributed Grouped Data and Clustering Single-Cell RNA Sequencing Data via the Expectation-Maximization Algorithm
… or missingness situations, such as truncated distributions, censored or grouped observations, and also to problems in which the missingness of the data is not natural or evident, such as mixed-effects models, mixture models, log-linear models, and latent variables. In Chapter 2 of this thesis, …
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A unified study of bounds and asymptotic estimates for renewal equations and compound distributions with applications to insurance risk analysis
… estimates for renewal equations and compound distributions and gives applications to aggregate claim distributions, stop-loss premium and ruin probabilities with general claim sizes and especially with heavy-tailed distributions. Chapter 1 presents the probability models of compound …
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An analysis of transportation asset damage and repair costs after inland flood events
… and damage level using both Gaussian and binomial distributions of the responses. Analyses shows that the maximum water elevation at a bridge location is statistically significant in determining the probability of bridge damage. There are also many other bridge attributes including length, …
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Discrete epidemic models with arbitrarily distributed disease stages
… to data, particularly when the disease stage distributions are arbitrarily distributed (e.g., when the data cannot be fitted by distributions from a parametric family). Under these circumstances continuous models usually lead to complex system of integral equations. Deterministic and …
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Comparison of two drugs by multiple stage sampling using Bayesian decision theory
… a multi-stage experimental procedure between two binomial populations (e.g., the numbers of successes for two drugs) on the basis of the results of previous stages. After all of the stages of the experiment have been performed, one must make the terminal decision of which of the two populations …
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Analysis of Discrete Data under Order Restrictions
… We consider inference for sequences of binomial populations, and the corresponding risk difference, relative risk and odds ratios. These concepts are extended to deal with independent multinomial populations. Natural orderings such as stochastic ordering and cumulative ratio probability …