Results 31 to 40 of about 1,552,349 (289)
Mathematics, 2022 This paper explores statistical inferences when the lifetime of product follows the inverse Nakagami distribution using progressive Type-II censored data.
Liang Wang +2 more
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Full Open Population Capture-Recapture Models with Individual Covariates [PDF]
, 2010 Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using ...
Barker, Richard J. +1 more
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Spatially multi-scale dynamic factor modeling via sparse estimation
International Journal of Mathematics for Industry, 2019 In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
doaj +1 more source
Indoor Ultra-Wide Band Network Adjustment using Maximum Likelihood Estimation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This study is the part of our ongoing research on using ultra-wide band (UWB) technology for navigation at the Ohio State University. Our tests have indicated that the UWB two-way time-of-flight ranges under indoor circumstances follow a Gaussian mixture
Z. Koppanyi, C. K. Toth
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Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models [PDF]
, 1995 A Bayesian method of moments/instrumental variable (BMOM/IV) approach is developed and applied in the analysis of the important mean and multiple regression models.
Zellner, Arnold
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Approximate Bayesian Computation with composite score functions
, 2015 Both Approximate Bayesian Computation (ABC) and composite likelihood methods are useful for Bayesian and frequentist inference, respectively, when the likelihood function is intractable.
Ruli, Erlis +2 more
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Empirical Likelihood for Non‐Smooth Criterion Functions [PDF]
Scandinavian Journal of Statistics, 2009 Abstract. Suppose thatX1,…, Xnis a sequence of independent random vectors, identically distributed as ad‐dimensional random vectorX. Letbe a parameter of interest andbe some nuisance parameter. The unknown, true parameters (μ0,ν0) are uniquely determined by the system of equationsE{g(X,μ0,ν0)} = 0, whereg = (g1,…,gp+q) is a vector ofp+qfunctions.
MOLANES LOPEZ, Elisa Maria +2 more
openaire +5 more sources
Least informative distributions in Maximum q-log-likelihood estimation
, 2017 We use the Maximum $q$-log-likelihood estimation for Least informative distributions (LID) in order to estimate the parameters in probability density functions (PDFs) efficiently and robustly when data include outlier(s). LIDs are derived by using convex
Cankaya, Mehmet Niyazi, Korbel, Jan
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Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions [PDF]
Journal of the Optical Society of America A, 2007 Maximum-likelihood (ML) estimation in wavefront sensing requires careful attention to all noise sources and all factors that influence the sensor data. We present detailed probability density functions for the output of the image detector in a wavefront sensor, conditional not only on wavefront parameters but also on various nuisance parameters ...
Harrison H, Barrett +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi +20 more
wiley +1 more source