An analysis of the number of medical malpractice claims and their amounts
M Bonetti, P Cirillo, P Musile Tanzi, E Trinchero - Plos one, 2016 - journals.plos.org
Starting from an extensive database, pooling 9 years of data from the top three insurance
brokers in Italy, and containing 38125 reported claims due to alleged cases of medical …
brokers in Italy, and containing 38125 reported claims due to alleged cases of medical …
Simulation-based inference in a zero-inflated Bernoulli regression model
The logistic regression model has become a standard tool to investigate the relationship
between a binary outcome and a set of potential predictors. When analyzing binary data, it …
between a binary outcome and a set of potential predictors. When analyzing binary data, it …
Using the censored gamma distribution for modeling fractional response variables with an application to loss given default
F Sigrist, WA Stahel - ASTIN Bulletin: The Journal of the IAA, 2011 - cambridge.org
Regression models for limited continuous dependent variables having a non-negligible
probability of attaining exactly their limits are presented. The models differ in the number of …
probability of attaining exactly their limits are presented. The models differ in the number of …
Safety prediction with datasets characterised with excess zero responses and long tails
D Lord, SR Geedipally - Safe Mobility: Challenges, Methodology and …, 2018 - emerald.com
Purpose–This chapter provides an overview of issues related to analysing crash data
characterised by excess zero responses and/or long tails and how to overcome these …
characterised by excess zero responses and/or long tails and how to overcome these …
Univariate extreme value mixture modeling
C Scarrott - Extreme Value Modeling and Risk Analysis …, 2016 - api.taylorfrancis.com
A plethora of univariate extreme value mixture models have been developed, which
combine a classic tail model with a component to describe the bulk of the distribution. The …
combine a classic tail model with a component to describe the bulk of the distribution. The …
[HTML][HTML] Asymptotic comparison of method of moments estimators and maximum likelihood estimators of parameters in zero-inflated poisson model
G Nanjundan, TR Naika - 2012 - scirp.org
This paper discusses the estimation of parameters in the zero-inflated Poisson (ZIP) model
by the method of moments. The method of moments estimators (MMEs) are analytically …
by the method of moments. The method of moments estimators (MMEs) are analytically …
[HTML][HTML] Semiparametric zero-inflated modeling in multi-ethnic study of atherosclerosis (mesa)
We analyze the Agatston score of coronary artery calcium (CAC) from the Multi-Ethnic Study
of Atherosclerosis (MESA) using semi-parametric zero-inflated modeling approach, where …
of Atherosclerosis (MESA) using semi-parametric zero-inflated modeling approach, where …
Inferring visibility: Who's (not) talking to whom?
Consider this simple question: how can a network operator identify the set of routes that
pass through its network? Answering this question is surprisingly hard: BGP only informs an …
pass through its network? Answering this question is surprisingly hard: BGP only informs an …
A survey of a hurdle model for heavy-tailed data based on the generalized lambda distribution
D Marcondes, C Peixoto, AC Maia - Communications in Statistics …, 2020 - Taylor & Francis
We present a literature review on the current state of Generalized Lambda Distribution (G λ
D) research and propose a highly flexible G λ D hurdle model for heavy tailed data with …
D) research and propose a highly flexible G λ D hurdle model for heavy tailed data with …
A double exponentially weighted moving average chart based on likelihood ratio for monitoring an inflated Pareto process
In this paper, we present a new chart called a likelihood ratio based double exponentially
weighted moving average (LR_DEWMA) chart to monitor the shape parameter of the inflated …
weighted moving average (LR_DEWMA) chart to monitor the shape parameter of the inflated …