Results 21 to 30 of about 84,615 (280)
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 New Generalization of Negative Ploya-Eggenberger Distribution and its Applications [PDF]
A new generalization of negative Polya-Eggenberger distribution (GNPED) has been obtained by mixing the negative binomial distribution with generalized beta distribution-Π defined by Nadarajah and Kotz (2003).
Ahmad, Sheikh Nilal, Hassan, Anwar
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Double Generalized Beta-Binomial and Negative Binomial Regression Models
Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
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A Bayesian Control Chart for Monitoring Process Variance
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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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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Migraine day frequency in migraine prevention: longitudinal modelling approaches
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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On testing exponentiality under Type-I censoring
Two new goodness-of-fit testing procedures are introduced to test exponentiality when data are subject to Type-I censoring. We proposed four test statistics for this purpose.
Reza Pakyari, Omama M. Al-Hamed
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A beta-Poisson model for infectious disease transmission.
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
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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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Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data
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
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