Results 11 to 20 of about 1,723,352 (285)
Applying Bayes linear methods to support reliability procurement decisions [PDF]
, 2008 Bayesian methods are common in reliability and risk assessment, however, such methods often demand a large amount of specification and can be computationally intensive.
Bedford, Tim +3 more
core +4 more sources
Empirical bayes estimates of development reliability for one shot devices [PDF]
, 2009 This article describes a method for estimating the reliability of a system under development that is an evolution of previous designs. We present an approach to making effective use of heritage data from similar operational systems to estimate ...
Quigley, J.L. +2 more
core +3 more sources
Multivariate reliability modelling with empirical Bayes inference [PDF]
, 2007 Recent developments in technology permit detailed descriptions of system performance to be collected and stored. Consequently, more data are available about the occurrence, or non-occurrence, of events across a range of classes through time.
Quigley, J.L., Walls, L.A.
core +3 more sources
Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]
, 2008 Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
Hutchison, Kenneth +3 more
core +4 more sources
Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
openaire +2 more sources
Revstat Statistical Journal, 2016 In this paper, classical and Bayesian point estimations of the Topp–Leone distribution shape parameter are studied when the sample is progressive Type II censored. The maximum likelihood estimator (MLE) of the unknown parameter is proposed.
Husam Awni Bayoud
doaj +1 more source
Media Statistika, 2020 One distribution of rainfall data is a lognormal distribution with location parameters and scale parameters . This study aims to estimate the mean and variance of rainfall data in several selected cities and regencies in West Sumatra.
Ferra Yanuar +2 more
doaj +1 more source
Geosciences, 2023 Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt +2 more
doaj +1 more source
Bayes linear kinematics in the analysis of failure rates and failure time distributions [PDF]
, 2010 Collections of related Poisson or binomial counts arise, for example, from a number of different failures in similar machines or neighbouring time periods.
Farrow, Malcolm, Wilson, Kevin
core +4 more sources
Bayesian Shrinkage Estimation in a Class of Life Testing Distribution
Data Science Journal, 2010 In the present paper, a class of probability density functions is considered, and the properties of the Bayes estimator and the Bayes Shrinkage estimator of the parameters are studied.
Gyan Prakash, D C Singh
doaj +1 more source