Results 31 to 40 of about 2,165 (200)

Comparison of Estimation Methods for Reliability Function for Family of Inverse Exponentiated Distributions under New Loss Function

Axioms, 2023
In this paper, different estimation is discussed for a general family of inverse exponentiated distributions. Under the classical perspective, maximum likelihood and uniformly minimum variance unbiased are proposed for the model parameters.
Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang   +3 more
doaj   +1 more source

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 evaluation of the accuracy of a thoracic auscultation scoring system in dairy calves with bronchopneumonia using a standard lung sound nomenclature

Journal of Veterinary Internal Medicine, 2023
Background Although thoracic auscultation (AUSC) in calves is quick and easy to perform, the definition of lung sounds is highly variable and leads to poor to moderate accuracy in diagnosing bronchopneumonia (BP).
Antonio Boccardo, Salvatore Ferraro, Giulia Sala, Vincenzo Ferrulli, Davide Pravettoni, Sébastien Buczinski   +5 more
doaj   +1 more source

A Comparison of Methods for Synthesizing Results from Previous Research to Obtain Priors for Bayesian Structural Equation Modeling

Psych
Bayesian estimation of latent variable models provides some unique advantages to researchers working with small samples and complex models when compared with the more commonly used maximum likelihood approach.
Holmes Finch
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

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

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