Parameter estimation for power function-lognormal composite distribution
From MaRDI portal
Publication:6106244
DOI10.1080/03610926.2021.1965622OpenAlexW3198318761MaRDI QIDQ6106244
No author found.
Publication date: 27 June 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1965622
parameter estimationcomposite modelsincome datainsurance claim datapower function-lognormal composite (PFLC) distribution
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On characterization of certain distributions of \(k\)th lower (upper) record values
- Modelling extreme claims via composite models and threshold selection methods
- Modeling loss data using composite models
- Modeling loss data using mixtures of distributions
- New Folded Models for the Log-Transformed Norwegian Fire Claim Data
- Composite Lognormal–Pareto model with random threshold
- The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
- The Weibull–Pareto Composite Family with Applications to the Analysis of Unimodal Failure Rate Data
- Power-Law Distributions in Empirical Data
- Modeling claims data with composite Stoppa models
- New composite models for the Danish fire insurance data
- A Brief History of Generative Models for Power Law and Lognormal Distributions
- A new look at the inverse Gaussian distribution with applications to insurance and economic data
- A family of density-hazard distributions for insurance losses
- Modeling with Weibull-Pareto Models
- Distribution of Product and of Quotient of Maximum Values in Samples from a Power-Function Population
- Modeling actuarial data with a composite lognormal-Pareto model
- On composite lognormal-Pareto models
- The Pareto, Zipf and other power laws
This page was built for publication: Parameter estimation for power function-lognormal composite distribution