Compound unimodal distributions for insurance losses
The distribution of insurance losses has a positive support and is often unimodal hump-
shaped, right-skewed and with heavy tails. In this work, we introduce a 3-parameter …
shaped, right-skewed and with heavy tails. In this work, we introduce a 3-parameter …
A new look at the inverse Gaussian distribution with applications to insurance and economic data
A Punzo - Journal of Applied Statistics, 2019 - Taylor & Francis
Insurance and economic data are often positive, and we need to take into account this
peculiarity in choosing a statistical model for their distribution. An example is the inverse …
peculiarity in choosing a statistical model for their distribution. An example is the inverse …
KernSmoothIRT: An R package for kernel smoothing in item response theory
Item response theory (IRT) models are a class of statistical models used to describe the
response behaviors of individuals to a set of items having a certain number of options. They …
response behaviors of individuals to a set of items having a certain number of options. They …
Mortality and life expectancy trends in Spain by pension income level for male pensioners in the general regime retiring at the statutory age, 2005–2018
JM Pérez-Salamero González… - International Journal for …, 2022 - Springer
Background Research has generally found a significant inverse relationship in mortality risk
across socioeconomic (SE) groups. This paper focuses on Spain, a country for which there …
across socioeconomic (SE) groups. This paper focuses on Spain, a country for which there …
Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets
G Pernagallo, A Punzo, B Torrisi - Scientific Reports, 2024 - nature.com
In most of the United States, insurance companies may use gender to determine car
insurance rates. In addition, several studies have shown that women over the age of 25 …
insurance rates. In addition, several studies have shown that women over the age of 25 …
npregfast: an R package for nonparametric estimation and inference in life sciences
We present the R npregfast package via some applications involved with the study of living
organisms. The package implements nonparametric estimation procedures in regression …
organisms. The package implements nonparametric estimation procedures in regression …
Differences in life expectancy between self-employed workers and paid employees when retirement pensioners: evidence from Spanish social security records
JM Pérez-Salamero González… - European Journal of …, 2021 - Springer
The aim of this paper is to examine differences in life expectancy (LE) between self-
employed (SE) and paid employee (PE) workers when they become retirement pensioners …
employed (SE) and paid employee (PE) workers when they become retirement pensioners …
Comparison of non-parametric methods for ungrouping coarsely aggregated data
S Rizzi, M Thinggaard, G Engholm… - BMC medical research …, 2016 - Springer
Background Histograms are a common tool to estimate densities non-parametrically. They
are extensively encountered in health sciences to summarize data in a compact format …
are extensively encountered in health sciences to summarize data in a compact format …
A semi-parametric density estimation with application in clustering
The idea behind density-based clustering is to associate groups to the connected
components of the level sets of the density of the data to be estimated by a nonparametric …
components of the level sets of the density of the data to be estimated by a nonparametric …
A refreshing take on the inverted Dirichlet via a mode parameterization with some statistical illustrations
Abstract The inverted Dirichlet (IDir) distribution is a popular choice for modeling multivariate
data with positive support; however, its conventional parameterization can be challenging to …
data with positive support; however, its conventional parameterization can be challenging to …