Results 41 to 50 of about 1,170 (203)
An INAR(1) process for modeling count time series with equidispersion, underdispersion and overdispersion [PDF]
, 2017 We present a novel first-order nonnegative integer-valued autoregressive model for stationary count data processes with Bernoulli-geometric marginals based on a new type of generalized thinning operator.
Weiss, Christian H. +3 more
core +1 more source
A Conway–Maxwell–Poisson Type Generalization of Hypergeometric Distribution
Mathematics, 2023 The hypergeometric distribution has gained its importance in practice as it pertains to sampling without replacement from a finite population. It has been used to estimate the population size of rare species in ecology, discrete failure rate in ...
Sudip Roy +2 more
doaj +1 more source
Tropical Cyclone Research and Review, 2014 : This study evaluates ensemble forecasts with a stochastic kinetic energy backscatter scheme (SKEBS) to predict tropical cyclone (TC) genesis and also to characterize the related ensemble underdispersion. Several sets of ensemble forecasts are generated
Levi Thatcher, Zhaoxia Pu
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The Gamma-count distribution in the analysis of experimental underdispersed data [PDF]
Journal of Applied Statistics, 2014 Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heterocedasticity and is inefficient ...
Zeviani, Walmes Marques +4 more
openaire +2 more sources
Revstat Statistical Journal, 2020 In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes.
Taban Baghfalaki , Mojtaba Ganjali
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application
Journal of Mathematics, 2022 Poisson regression is a popular tool for modeling count data and is applied in medical sciences, engineering and others. Real data, however, are often over or underdispersed, and we cannot apply the Poisson regression. To overcome this issue, we consider
Muhammad Nauman Akram +5 more
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Unclusterable, underdispersed arrangement of insect‐pollinated plants in pollinator niche space [PDF]
Ecology, 2020 Abstract Pollinators can mediate facilitative or competitive relationships between plant species, but the relative importance of these two conflicting phenomena in shaping community‐wide pollinator resource use remains unexplored.
openaire +2 more sources
Generalised count distributions for modelling parity
Demographic Research, 2017 Background: Parametric count distributions customarily used in demography - the Poisson and negative binomial models - do not offer satisfactory descriptions of empirical distributions of completed cohort parity.
Bilal Barakat
doaj +1 more source
Execution of synthetic Bayesian model average for solar energy forecasting
IET Renewable Power Generation, 2022 Accurate photovoltaic (PV) forecasting is quite crucial in planning and in the regular operation of power system. Stochastic habit along with the high risks in PV signal uncertainty and a probabilistic forecasting model is required to address the ...
Oveis Abedinia, Mehdi Bagheri
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Intercontinental trends in functional and phylogenetic structure of stream fish assemblages
Ecology and Evolution, 2019 Understanding of community assembly has been improved by phylogenetic and trait‐based approaches, yet there is little consensus regarding the relative importance of alternative mechanisms and few studies have been done at large geographic and ...
Luke M. Bower, Kirk O. Winemiller
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