Some asymptotic results for fiducial and confidence distributions
Under standard regularity assumptions, we provide simple approximations for specific classes of fiducial and confidence distributions and discuss their connections with objective Bayesian posteriors.
Melilli, Eugenio +3 more
core +1 more source
Forecasting the maximum compensation offer in the automobile BI claims negotiation proces. [PDF]
Most motor bodily injury (BI) claims are settled by negotiation, with fewer than 5% of cases going to court. A well-defined negotiation strategy is thus very useful for insurance companies.
Miguel Santolino, Mercedes Ayuso
core
Estimating population means in covariance stationary process [PDF]
In simple random sampling, the basic assumption at the stage of estimating the standard error of the sample mean and constructing the corresponding confidence interval for the population mean is that the observations in the sample must be independent. In
Halkos, George, Kevork, Ilias
core
A Bernstein-von Mises Theorem for Generalized Fiducial Distributions [PDF]
We prove a Bernstein-von Mises result for generalized fiducial distributions following the approach based on quadratic mean differentiability in Le Cam (1986); van der Vaart (1998).
Hannig, Jan, Borgert, J. E.
core
Characterizing the spatiotemporal displacement of fiducial markers for cyberknife radiosurgery in liver cancer and identifying predictive factors. [PDF]
Zhang M +5 more
europepmc +1 more source
Reconstructed Three-Dimensional vs. Two-Dimensional Visualization in Unilateral Biportal Endoscopic Spine Surgery: A Randomized Crossover Simulation Feasibility Study. [PDF]
Corr F +8 more
europepmc +1 more source
Fiducial Inference in Linear Mixed-Effects Models. [PDF]
Yang J, Li X, Gao H, Zou C.
europepmc +1 more source
Reduced lumbar myofascial mobility in chronic low back pain quantified using MR elastography-based slip interface imaging. [PDF]
Hojo E +11 more
europepmc +1 more source
A Computational Bayesian Framework for Entropy-Based Inference in the Inverse Gaussian Distribution Under Progressive Type-II Censoring. [PDF]
El-Shahat MAT +4 more
europepmc +1 more source
Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells [PDF]
Confidence intervals for multinomial proportions are often constructed using large-sample methods that rely on expected cell counts of 5 or greater. In situations that give rise to a large number of categories, the cell counts may not be of adequate size
Warren L. May, William D. Johnson
core

