Results 11 to 20 of about 373,167 (265)
Prostate-specific antigen testing accuracy in community practice
BMC Family Practice, 2002 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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Entropy, 2021 As modern data analysis pushes the boundaries of classical statistics, it is timely to reexamine alternate approaches to dealing with outliers in multiple regression.
David W. Scott, Zhipeng Wang
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A New Numerical Algorithm of Three Parameter Generalized Extreme Value Distribution of Wind Speed [PDF]
E3S Web of Conferences, 2021 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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Asymptotic Likelihood-Based Prediction Functions
Econometrica, 1990 This paper develops asymptotic prediction functions that approximate the shape of the density of future observations and correct for parameter uncertainty. The functions are based on extensions to a definition of predictive likelihood originally suggested by S. L. Lauritzen (1974) and D. Hinkley (1979).
Cooley, Thomas F, Parke, William R
openaire +2 more sources
Emerging Infectious Diseases, 2013 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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Estimations of Modified Lindley Parameters Using Progressive Type-II Censoring with Applications
Axioms, 2023 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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Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks
Journal of Agricultural and Resource Economics, 2004 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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Testable likelihoods for beyond-the-standard model fits
European Physical Journal C: Particles and Fields, 2023 Studying potential BSM effects at the precision frontier requires accurate transfer of information from low-energy measurements to high-energy BSM models.
Anja Beck, Méril Reboud, Danny van Dyk
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Penalized Composite Likelihood Estimation for Spatial Generalized Linear Mixed Models [PDF]
Journal of Sciences, Islamic Republic of IranWhen 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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The Analysis of Ranking Data Using Score Functions and Penalized Likelihood
Austrian Journal of Statistics, 2017 In this paper, we consider different score functions in order summarize certain characteristics for one and two sample ranking data sets. Our approach is flexible and is based on embedding the nonparametric problem in a parametric framework.
Mayer Alvo, Hang Xu
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