Results 81 to 90 of about 2,552,922 (155)

Some asymptotic results for fiducial and confidence distributions

open access: yes, 2018
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]

open access: yes
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]

open access: yes
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]

open access: yes
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  

Reduced lumbar myofascial mobility in chronic low back pain quantified using MR elastography-based slip interface imaging. [PDF]

open access: yesEur Radiol Exp
Hojo E   +11 more
europepmc   +1 more source

Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells [PDF]

open access: yes
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  

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