Results 41 to 50 of about 152,582 (189)
Claims Modelling with Three-Component Composite Models
Risks, 2023 In this paper, we develop a number of new composite models for modelling individual claims in general insurance. All our models contain a Weibull distribution for the smallest claims, a lognormal distribution for the medium-sized claims, and a long ...
Jackie Li, Jia Liu
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Pseudo-Likelihood Estimation for Incomplete Data [PDF]
, 2011 In statistical practice, incomplete measurement sequences are the rule rather than the exception. Fortunately, in a large variety of settings, the stochastic mechanism governing the incompleteness can be ignored without hampering inferences about the ...
Verbeke, G +3 more
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BuildingsIn-service deviations of viscous dampers can reduce the collapse safety margin of viscous-damped structures under strong earthquakes. This study examines two representative mechanisms: global degradation of the damper group and local failure of a subset ...
Xi Zhao, Wen Pan
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Odd Burr III-Chen Distribution: Properties and Estimation Based on Progressive Type-II Censoring Scheme [PDF]
مجلة العلوم التجارية والبيئيةIn recent years, composite models based on Burr III distribution have become increasingly prevalent in environmental studies, economics, meteorology, water resources, and forestry applications.
Reda Mohamed Hassan +2 more
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The Factor Structure and Composite Reliability of the Rosenberg Self-Esteem Scale among Ex-Prisoners [PDF]
, 2013 The aim of this study was to examine the factor structure and composite reliability of the Rosenberg Self-Esteem Scale (RSES) using a sample of 669 ex-prisoners identified in the National Survey of American Life.
Dhingra, Katie +3 more
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The Geometry of Generalized Likelihood Ratio Test
Entropy, 2022 The generalized likelihood ratio test (GLRT) for composite hypothesis testing problems is studied from a geometric perspective. An information-geometrical interpretation of the GLRT is proposed based on the geometry of curved exponential families.
Yongqiang Cheng +2 more
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A Composite Likelihood Approach for Dynamic Structural Models [PDF]
Federal Reserve Bank of Richmond Working Papers, 2018 AbstractWe explain how to use the composite likelihood function to ameliorate estimation, computational and inferential problems in dynamic stochastic general equilibrium models. We combine the information present in different models or data sets to estimate the parameters common across models.
Canova, Fabio, Matthes, Christian
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Diagnostic accuracy of GeneXpert MTB/RIF assay for detection of tubercular pleural effusion.
PLoS ONE, 2021 India has been engaged in tuberculosis (TB) control activities for over 50 years and yet TB continues to remain India's important public health problem.
Jyoti Jain +3 more
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Composite likelihood estimation for the Brown-Resnick process [PDF]
Biometrika, 2013 SUMMARY Genton et al. (2011) investigated the gain in efficiency when triplewise, rather than pairwise, likelihood is used to fit the popular Smith max-stable model for spatial extremes. We generalize their results to the Brown–Resnick model and show that the efficiency gain is substantial only for very smooth processes, which are generally unrealistic
Huser Raphaël, Davison A. C.
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Robustness properties of marginal composite likelihood estimators [PDF]
, 2014 Non UBCUnreviewedAuthor affiliation: University of ...
Jordan, Helen
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