Results 11 to 20 of about 3,652,623 (306)
Likelihood decision functions [PDF]
In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the likelihood methods in statistics.
Cattaneo, Marco E. G. V.
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Prostate-specific antigen testing accuracy in community practice
Background Most data on prostate-specific antigen (PSA) testing come from urologic cohorts comprised of volunteers for screening programs. We evaluated the diagnostic accuracy of PSA testing for detecting prostate cancer in community practice.
Adams-Cameron Meg +4 more
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Machine learning of log-likelihood functions in global analysis of parton distributions
Modern analysis on parton distribution functions (PDFs) requires calculations of the log-likelihood functions from thousands of experimental data points, and scans of multi-dimensional parameter space with tens of degrees of freedom.
DianYu Liu, ChuanLe Sun, Jun Gao
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THE LIKELIHOOD EQUATION, CONSISTENCY AND THE MAXIMA OF THE LIKELIHOOD FUNCTION [PDF]
The articles published by the Annals of Eugenics (1925–1954) have been made available online as an historical archive intended for scholarly use. The work of eugenicists was often pervaded by prejudice against racial, ethnic and disabled groups. The online publication of this material for scholarly research purposes is not an endorsement of those views
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Likelihood for statistically equivalent models [PDF]
In likelihood inference we usually assume that the model is fixed and then base inference on the corresponding likelihood function. Often, however, the choice of model is rather arbitrary, and there may be other models which fit the data equally well. We
Copas, John B. +3 more
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A Rift Valley fever (RVF) epidemic affecting animals on domestic livestock farms was reported in South Africa during January–August 2010. The first cases occurred after heavy rainfall, and the virus subsequently spread countrywide.
Raphaëlle Métras +7 more
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Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks
Little research has been conducted on evaluating out-of-sample forecasts of discrete dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for discrete dependent variables: receiver-operator
F. Bailey Norwood +2 more
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Estimations of Modified Lindley Parameters Using Progressive Type-II Censoring with Applications
This study addresses the estimation problems of the modified Lindley distribution using a progressive Type-II censoring plan. Using the maximum likelihood and maximum product of spacing and Bayesian estimation methods, the unknown parameter, reliability,
Refah Alotaibi +2 more
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Penalized Composite Likelihood Estimation for Spatial Generalized Linear Mixed Models [PDF]
When discussing non-Gaussian spatially correlated variables, generalized linear mixed models have enough flexibility for modeling various data types. However, the maximum likelihood methods are plagued with substantial calculations for large data sets ...
Mohsen Mohammadzadeh, Leyla Salehi
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A New Numerical Algorithm of Three Parameter Generalized Extreme Value Distribution of Wind Speed [PDF]
Maximum likelihood estimation method is used to solve the problem of parameter estimation of three-parameter generalized extreme value distribution. Based on the theory of order reducing,a new numerical algorithm is presented to resolve the problem of ...
Tao Ye
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