Results 21 to 30 of about 5,240,370 (291)
Journal 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
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A consistent estimator for the binomial distribution in the presence of “incidental parameters”: an application to patent data [PDF]
, 2003 In this paper a consistent estimator for the Binomial distribution in the presence of incidental parameters, or fixed effects, when the underlying probability is a logistic function is derived.
Machado, Matilde P.
core +3 more sources
A Bayesian Control Chart for Monitoring Process Variance
Applied 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
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Migraine day frequency in migraine prevention: longitudinal modelling approaches
BMC 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
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Complexity, 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
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Four tests of fit for the beta-binomial distribution
Journal 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
, 2022 Coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 virus has spread seriously throughout the world. Predicting the spread, or the number of cases, in the future can facilitate preparation for, and prevention of, a worst-case scenario.
Masao Ueki (173186)
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A beta-Poisson model for infectious disease transmission.
PLoS Computational BiologyOutbreaks 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
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The sampling distribution of the maximum likelihood estimators for the parameters of beta-binomial distribution [PDF]
International 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
PLoS 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
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