Results 31 to 40 of about 47,862 (173)

The Impact of Prior Information on Bayesian Latent Basis Growth Model Estimation

SAGE Open, 2017
Latent basis growth modeling is a flexible version of the growth curve modeling, in which it allows the basis coefficients of the model to be freely estimated, and thus the optimal growth trajectories can be determined from the observed data.
Dingjing Shi, Xin Tong
doaj   +1 more source

Bayesian Inference on the Shape Parameter and Future Observation of Exponentiated Family of Distributions

Journal of Probability and Statistics, 2011
The Bayes estimators of the shape parameter of exponentiated family of distributions have been derived by considering extension of Jeffreys' noninformative as well as conjugate priors under different scale-invariant loss functions, namely, weighted ...
Sanku Dey, Sudhansu S. Maiti
doaj   +1 more source

Diagnostic accuracy of Wisconsin and California scoring systems to detect bovine respiratory disease in preweaning dairy calves under subtropical environmental conditions

Journal of Dairy Science, 2022
: Bovine respiratory disease (BRD) is a multifactorial disease which causes short- and long-term negative effects. Early detection is crucial for a prompt response to therapy, as well as to decrease mortality risk.
Nathalia Decaris, Sébastien Buczinski, Daniela Irlanda Castro Tárdon, Luana Camargo, Natali Regina Schllemer, Stefano Carlo Filippo Hagen, Amelia R. Woolums, Viviani Gomes   +7 more
doaj   +1 more source

Flexible Parametric Accelerated Hazard Model: Simulation and Application to Censored Lifetime Data with Crossing Survival Curves

Mathematical and Computational Applications, 2022
This study aims to propose a flexible, fully parametric hazard-based regression model for censored time-to-event data with crossing survival curves. We call it the accelerated hazard (AH) model.
Abdisalam Hassan Muse, Christophe Chesneau, Oscar Ngesa, Samuel Mwalili   +3 more
doaj   +1 more source

Noninformative Priors for Multivariate Linear Calibration

Journal of Multivariate Analysis, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

On the uniqueness of probability matching priors [PDF]

, 2007
Probability matching priors are priors for which Bayesian and frequentist inference, in the form of posterior quantiles, or confidence intervals, agree to some order of approximation.
Staicu, A-M, Reid, N, Reid, Nancy
core  

Informative priors or noninformative priors? A Bayesian re-analysis of binary data from Macugen phase III clinical trials [PDF]

, 2017
It has became more popular in the recent statistical literature to see Bayesian approaches for clinical trials, such as assurance calculations for study designs and the use of posterior probability for data analyses.
Ting, N., Chen, D.-G., Ho, S.
core   +1 more source

Objective Bayesian Inference for Differential Effects in Unequal-Variance Two-Sample Normal Models

Mathematics
In this paper, we develop a unified objective Bayesian framework for inference on the differential effect in the unequal-variance two-sample normal model.
Sang Gil Kang, Yongku Kim
doaj   +1 more source

Reliability estimation of Weibull Lomax distribution via Bayesian approach [PDF]

Memoirs of the Scientific Sections of the Romanian Academy, 2023
Weibull Lomax distribution is considered. Bayesian method of estimation is employed in order to estimate the reliability function of Weibull Pareto distribution by using non-informative and beta priors.
Arun Kumar Rao, Himashu Pandey
doaj  

Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data. [PDF]

PLoS ONE, 2013
In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling.
Robert M Dorazio
doaj   +1 more source