Results 11 to 20 of about 36,759 (255)
Frontiers in Microbiology, 2021 Conventional regression analysis using the least-squares method has been applied to describe bacterial behavior logarithmically. However, only the normal distribution is used as the error distribution in the least-squares method, and the variability and ...
Satoko Hiura +3 more
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PENANGANAN OVERDISPERSI PADA MODEL REGRESI POISSON MENGGUNAKAN MODEL REGRESI BINOMIAL NEGATIF
Media Statistika, 2011 Poisson regression is the most popular tool for modeling the relationship between a discrete data in the response variable and a set of predictors with continue, discrete, categoric or mix data.
Rio Tongaril Simarmata, Dwi Ispriyanti
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Zanco Journal of Pure and Applied Sciences, 2023 Ensuring safety on roadways and controlling conflicting and merging streams of traffic at signalized intersections has become a major concern for transportation engineers and road users globally and locally.
Nasreen A. Hussein, Rayya Hassan
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Mathematics, 2020 The aim of this paper is to introduce dependence between the claim frequency and the average severity of a policyholder or of an insurance portfolio using a bivariate Sarmanov distribution, that allows to join variables of different types and with ...
Ramon Alemany +3 more
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Generalized distributions of order k associated with success runs in Bernoulli trials
International Journal of Mathematics and Mathematical Sciences, 2003 In a sequence of independent Bernoulli trials, by counting multidimensional lattice paths in order to compute the probability of a first-passage event, we derive and study a generalized negative binomial distribution of order k, type I, which extends to ...
Gregory A. Tripsiannis +2 more
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A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data
Stats, 2023 This paper considers the construction of a family of discrete distributions with the flexibility to cater for under-, equi- and over-dispersion in count data using a finite mixture model based on standard distributions. We are motivated to introduce this
Seng Huat Ong +3 more
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Discrimination between Some Over Dispersed Count Distributions
ASM Science Journal, 2021 The Poisson inverse Gaussian and generalized Poisson distributions are widely used in modelling overdispersed count data which are commonly found in healthcare, insurance, engineering, econometric and ecology.
Yook-Ngor Phang +2 more
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Scientia Marina, 2022 The estimation of reliable indices of abundance for sedentary stocks requires the incorporation of the underlying spatial population structure, including issues arising from the sampling design and zero inflation.
Ricardo A. Morris +2 more
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Eucalyptus cloeziana seed count data: a comparative analysis of statistical models [PDF]
Ciência e Agrotecnologia, 2020 Generalized linear models (GLMs) are an extension of the linear model and include the normal, Poisson, and negative binomial distributions. Although GLMs were introduced in 1972, most seed technology studies, especially those involving count data, such ...
Thomas Bruno Michelon +3 more
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Parameter Estimation and Application of Generalized Inflated Geometric Distribution
Journal of Statistical Theory and Applications (JSTA), 2018 A count data that have excess number of zeros, ones, twos or threes are commonplace in experimental studies. But these inflated frequencies at particular counts may lead to overdispersion and thus may cause difficulty in data analysis.
Avishek Mallick, Ram Joshi
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