Abstract This paper provides a review of the literature regarding methods for constructing prediction intervals counting variables, with particular focus on those whose distributions are Poisson or derived from and an over‐dispersion property. Independent identically distributed models regression both considered. The motivating problem this is that predicting number daily cumulative cases death...

Abstract With the emergence of telematics car driving data, insurance companies have started to boost classical actuarial regression models for claim frequency prediction with information. In this paper, we propose two data-driven neural network approaches that process data complement pricing a behavior risk factor from data. Our networks simultaneously accommodate feature engineering and model...

Abstract: Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur. In this paper we study regression models associated with the generalized Poisson distribution (Consul (1989)). These regression models which have been used for about 15 years do not belong to the class of generalized linear models co...

This study integrates association rules analysis, a methodology for selecting potential interactions, with Poisson regression modeling. Though typically ignored in conventional Poisson regression, interactions are very common in practice. However, selecting a Poisson regression model when many main effects and interactions are involved is problematic. In this study, we develop a model selection...

the two-spotted spider mite, tetranychus urticae koch (acari: tetranychidae), is an economically important pest of ornamental plant in iran. the population abundance and spatial distribution were studied on five rosa cultivars including maroussia, wendela, elderado, wenedetta, and hot lady during two growing seasons of 2011 and 2012 in greenhouse. the k parameter, index of dispersion, lloyd’s m...

There are a number of reasonable approaches to analysing an ordinal outcome variable. One common approach, known as the Proportional Odds (PO) Model, is implemented in Stata as ologit. If the assumptions of the PO model are not satisfied, an alternative is to treat the outcome as categorical, rather than ordinal, and use multinomial logistic regression (mlogit) in Stata. This insert describes a...

This integral trick assumes greater significance when the function f is known to have strong decay properties both at 0 and at ∞, since then the Mellin transform is entire in s. One way to ensure such rapid decay is via eigenfunction properties in the context of automorphic forms. [2] • The archetype Mellin transform: zeta from theta • Abstracting to holomorphic modular forms • Variation: wavef...

O2-S3.06 Table 1 Area-based socioeconomic measures and poisson regression models Chlamydia rates, females Gonorrhoea rates, females RR (95% CI) RR (95% CI) Economic deprivation % Below poverty line 1.14 (1.08 to 1.21) 1.36 (1.16 to 1.60) % Households with >1⁄430% of income