Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
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Updated
Apr 26, 2018 - R
Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
Classical models implemented from a Markov operator's perspective
Desktop app that estimates the probability of price movements for stocks
Log-normally distributed pseudorandom numbers.
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
Create an iterator for generating pseudorandom numbers drawn from a lognormal distribution.
Statistics and probability in engineering is one of the courses from an undergraduate chart that you can find all of my projects and assignment's in this repository
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
Create an array containing pseudorandom numbers drawn from a lognormal distribution.
Data analysis of Air BnB data in Barcelona and London using a subset of data investigated by Gyódi, K., & Nawaro, Ł. Generalised Linear Models have been fitted to examine weekend price differences and how price changes between the two cities.
This repo contains two files: natural and artificial rock fragmentation process. The natural process yields log-normal description and follows Kolomogorov's approach however the artificial process do not yield Log-normal.
Add a description, image, and links to the log-normal topic page so that developers can more easily learn about it.
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