Results 21 to 30 of about 5,487,097 (292)

Bonus-Malus Premiums Based on Claim Frequency and the Size of Claims

open access: yesRisks, 2022
The bonus-malus system (BMS) is one of the most widely used tools in merit-rating automobile insurance, with the primary goal of ensuring that fair premiums are paid by all policyholders. The traditional BMS is dependent only on the claim frequency. Thus,
Adisak Moumeesri, Tippatai Pongsart
doaj   +1 more source

Bayesian Two-sided Complete Group Chain Sampling Plan for Binomial Distribution using Beta Prior through Quality Regions

open access: yesJournal of ICT, 2021
Acceptance sampling is a technique for statistical quality assurance based on the inspection of a random sample to decide the lot disposition: accept or reject. Producer’s risk and consumer’s risk are inevitable in acceptance sampling.
Waqar Hafeez, Nazrina Aziz
doaj   +1 more source

A Bayesian Control Chart for Monitoring Process Variance

open access: yesApplied Sciences, 2021
Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process.
Chien-Hua Lin   +3 more
doaj   +1 more source

Migraine day frequency in migraine prevention: longitudinal modelling approaches

open access: yesBMC Medical Research Methodology, 2019
Background Health economic models are critical tools to inform reimbursement agencies on health care interventions. Many clinical trials report outcomes using the frequency of an event over a set period of time, for example, the primary efficacy outcome ...
Gian Luca Di Tanna   +7 more
doaj   +1 more source

The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

open access: yesComplexity, 2021
The risk priority number (RPN) calculation method is one of the critical subjects of failure mode and effects analysis (FMEA) research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic.
Xiaojun Wu, Jing Wu
doaj   +1 more source

Four tests of fit for the beta-binomial distribution

open access: yesJournal of Applied Statistics, 2010
Tests based on the Anderson–Darling statistic, a third moment statistic and the classical Pearson–Fisher X 2 statistic, along with its third-order component, are considered. A small critical value and power study are given. Some examples illustrate important applications.
Best, Donald John   +2 more
openaire   +3 more sources

A beta-Poisson model for infectious disease transmission.

open access: yesPLoS Computational Biology
Outbreaks of emerging and zoonotic infections represent a substantial threat to human health and well-being. These outbreaks tend to be characterised by highly stochastic transmission dynamics with intense variation in transmission potential between ...
Joe Hilton, Ian Hall
doaj   +1 more source

The sampling distribution of the maximum likelihood estimators for the parameters of beta-binomial distribution [PDF]

open access: yesInternational Mathematical Forum, 2013
Summary: Sampling distributions for the maximum likelihood estimators of the beta-binomial model are obtained numerically using approximate random numbers from the beta-binomial distribution. STATGRAPHICS package is used to obtain the best fitted distributions using chi-square and Kolmogorov-Smirnov tests.
Salem, S. A., Abu el Azm, W. S.
openaire   +2 more sources

Model to improve specificity for identification of clinically-relevant expanded T cells in peripheral blood.

open access: yesPLoS ONE, 2019
Current methods to quantify T-cell clonal expansion only account for variance due to random sampling from a highly diverse repertoire space. We propose a beta-binomial model to incorporate time-dependent variance into the assessment of differentially ...
Julie Rytlewski   +6 more
doaj   +1 more source

Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data

open access: yesJournal of Statistical Software, 2019
This article describes the R package BinaryEPPM and its use in determining maximum likelihood estimates of the parameters of extended Poisson process models for grouped binary data.
David M. Smith, Malcolm J. Faddy
doaj   +1 more source

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