Erhardt and Czado (2008) suggest an approximative method for sampling highdimensional count random variables with a specified Pearson correlation. They utilize Gaussian copulae for the construction of multivariate discrete distributions. A major task is to determine the appropriate copula parameters for the achievement of a specified target correlation. Erhardt and Czado (2008) develop an optim...

Abstract. This study presents a novel ensemble regression model for forecasts of the hypoxic area (HA) in Louisiana–Texas (LaTex) shelf. The combines zero-inflated Poisson generalized linear (GLM) and quasi-Poisson additive (GAM) considers predictors with hydrodynamic biochemical features. Both models were trained calibrated using daily hindcast (2007–2020) by three-dimensional coupled hydrodyn...

Count data are widely existed in the fields of medical trials, public health, surveys and environmental studies. In analyzing count data, it is important to find outwhether the zeroinflation exists or not and how to select the most suitable model. However, the classic AIC criterion formodel selection is invalid when the observations aremissing. In this paper, we develop a new model selection cr...

Generalized additive models for location, scale and shape define a flexible, semiparametric class of regression models for analyzing insurance data in which the exponential family assumption for the response is relaxed. This approach allows the actuary to include risk factors not only in the mean but also in other parameters governing the claiming behavior, like the degree of residual heterogen...

In this paper, we propose a new generalization of the Poisson distribution by using concept weighted distribution; trigonometric weight with cosine function is used. We derive some distributional properties distribution, such as cumulative function, moment generating factorial moments, and index dispersion. Then, related model considered for modeling purposes, estimation parameters performed vi...

Aim: This study was conducted to model the relationship between discrete dependent variable (yellow stem borer population) and continuous weather variables.
 Data Description: The yellow (YSB) population standard meteorological week (SMW) wise variables (temperature, relative humidity, rainfall sunshine hours) data of Warangal centre (Telangana state) generated under All India Co-Ordinated...

This paper describes the methodology used for ECMLPKDD 2015 Discovery Challenge on Model Reuse with Bike Rental Station Data (MoReBikeS). The challenge was to predict the number of bikes in the new stations three hours in advance. Initially, the data for the first 25 new stations (station 201 to 225) was provided and various prediction methods were utilized on these test stations and the result...

A zero-inflated Poisson (ZIP) distribution is commonly used for modelling process data with single type of defect, and developing appropriate tools instituting statistical control manufacturing processes. However, in reality, such scenarios are very common where more than one defect can occur. For example, occurrences defects like solder short circuits (shorts) absence (skips) on printed circui...