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Showing 1 to 20 of 196 for “"Negative Binomial"”.
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The negative binomial distribution
… review of the major literature dealing with the negative binomial distribution. An account of the forms of the distribution is presented. This includes compound, limiting and truncated forms and examples of their occurrence. Parameter estimation is treated in a few specific cases. In particular, …
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The Censored Heterogeneous Negative Binomial Model
… right cutoff values.</p> <p> The Poisson and negative binomial (NB) regression models are two of the most commonly used regression models for the analysis of discrete count data. The censored negative binomial (CNB) model is a variant of the negative binomial model that is appropriate for …
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Surveillance of Negative Binomial and Bernoulli Processes
… discrete 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 …
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Properties of two modified moment estimators for parameters of the negative binomial distribution
… modified moment estimators for parameters of the negative binomial distribution (NBD). Several parametric forms have been suggested for the NBD. The estimation problems vary according to the form which is used. In particular, the form proposed by Anscombe [Biometrika, 37 (1950), pp. 358-382), with …
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Orthogonal statistics involving the third and fourth sample moments for negative binomial distribution
… for estimators of parameters of the negative binomial distribution.
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Moment estimators involving the second and third sample moments for the negative binomial distribution
… of obtaining an estimator, a parameter of the negative binomial distribution, for which we can show that such properties as bias and variance of this estimator are "better" than corresponding properties of the simple moment estimator, the latter being the estimator which is used most often in …
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Orthogonal statistics and some sampling properties of moment estimators for the negative binomial distribution
… of moment estimators of parameters of the negative binomial distribution. The general technique of orthogonal statistics which is based on the existence of an infinite set {q<sub>r</sub>(x)} of orthogonal polynomials associated with a particular distribution, enables one to obtain …
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Objective Bayesian analysis of the 2 x 2 contingency table and the negative binomial distribution
… develop an approximate reference prior for the negative binomial distribution, applying this methodology to a continuous parameterization often used for modeling over-dispersed count data as well as the typical discrete case. Results indicate that the developed prior equals the performance of …
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Cross product ratio under different sampling schemes and zero truncated negative binomial weighted Weibull distribution with applications
… results, the special case of Direct-Inverse Binomial sampling scheme works the best, where the number of successes in the Direct sampling scheme is used in the second sampling scheme of the Inverse Binomial scheme. Results of Bias and Mean Squared Errors are compiled in the tables for …
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Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method
… and soon. When the dependent variable is a nonnegative count variable, a Poisson regression model is commonly used to explain the relationship between the outcome variable and a set of explanatory variables. However, if extra-zero Poisson counts are observed, it has been suggested that a …
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A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor
… using two statistical models which are FCM and negative binomial Generalised Additive Model (GAM). This study successfully presents the significant difference in the climatic and non-climatic factors that influenced dengue incidence rate (DIR) in Selangor, Malaysia. Results show that the …
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Variants of compound models and their application to citation analysis
… We consider cases where both generations are negative binomial or one is Poisson and the other is negative binomial. The first variant, denoted SVA, follows a zero restriction, where a zero in the first generation will automatically be followed by a zero in the second generation. The second …
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Performing Network Level Crash Evaluation Using Skid Resistance
… Currently, the evaluation is performed using negative binomial regression, as a function of average annual daily traffic (AADT) and other variables. For this thesis, a crash study was carried out for the interstate, primary and secondary routes, in the Salem District of Virginia. The data used …
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An ecological adjusted random effect model for violent and property crime in Windhoek (2011-2016)
… inflated are often analysed using Zero-Inflated Negative Binomial Generalized Linear Mixed Model (ZTNB-GLMM) when observations are correlated in ways that require random effects. The present study investigates ecological factors influencing Violent and Property crime in Windhoek by using data …
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Understanding theft from the person and robbery of personal property victimisation trends in England and Wales, 1994-2010/11
… statistical methods are utilised including binomial logistic, negative binomial and zero-inflated negative binomial regression. There are a number of proposed contributions to knowledge from this research.
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An Investigation of Answer Changing on a Large-Scale Computer-Based Educational Assessment
… variables were modeled using Poisson and negative binomial regression approaches. Results were consistent with prior research that has indicated large numbers of answer changes are rare occurrences that could warrant further exploration. Negative binomial regression was a better approach …
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Zero-Inflated Models to Identify Transcription Factor Binding Sites in ChIP-seq Experiments
… and other biases. In this study, we propose a negative binomial model (NB), a zero-inflated Poisson model (ZIP) and a zero-inflated negative binomial model (ZINB) for peak-calling. Using real ChIP-seq datasets, we show that ZINB model is the best model for ChIP-seq data. Then we incorporate …
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Birth spacing and child mortality in Mozambique : evidence from two demographic and health surveys
… category of the preceding birth interval. The negative binomial regression model is applied to account for the overdispersion present in the Poisson model.
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