منابع مشابه
on some bayesian statistical models in actuarial science with emphasis on claim count
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15 صفحه اولEstimation of Count Data using Bivariate Negative Binomial Regression Models
Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...
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We review regression models for count time series. We discuss the approach which is based on generalized linear models and the class of integer autoregressive processes. The generalized linear models framework provides convenient tools for implementing model fitting and prediction using standard software. Furthermore, this approach provides a natural extension to the traditional ARMA methodolog...
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Accurate genetic evaluation of livestock is based on appropriate modeling of phenotypic measurements. In ruminants, fecal egg count (FEC) is commonly used to measure resistance to nematodes. FEC values are not normally distributed and logarithmic transformations have been used in an effort to achieve normality before analysis. However, the transformed data are often still not normally distribut...
متن کاملCount Data Models With Selectivity
This paper shows how truncated censored hurdle zero in ated and underreported count models can be interpreted as models with selectivity Until recently such count data models have commonly imposed independence between the count generating mechanism and the selection mechanism Such an assumption is unrealistic in most applications and various models with endogenous selectivity correlation betwee...
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ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2020
ISSN: 2041-210X,2041-210X
DOI: 10.1111/2041-210x.13383