Results 91 to 100 of about 2,165 (200)

Length at life stages of the white shark Carcharodon carcharias in the western North Atlantic

Endangered Species Research
Length at life stages of the white shark Carcharodon carcharias is not well known for most of the 9 populations of this species, including in the western North Atlantic (WNA).
JF Márquez-Farías, JP Tyminski, GC Fischer, RE Hueter   +3 more
doaj   +1 more source

Reference Priors For Non-Normal Two-Sample Problems

The reference prior algorithm (Berger and Bernardo, 1992) is applied to locationscale models with any regular sampling density. A number of two-sample problems is analyzed in this general context, extending the dierence, ratio and product of Normal means
Steel, M.F.J., Fernández, C.
core  

Modeling growth curve parameters in Peruvian llamas using a Bayesian approach

Veterinary and Animal Science
The objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches.
Ali William Canaza-Cayo, Rubén Herberht Mamani-Cato, Roxana Churata-Huacani, Francisco Halley Rodríguez-Huanca, Maribel Calsin-Cari, Ferdynand Marcos Huacani-Pacori, Oscar Efrain Cardenas Minaya, Júlio Sílvio de Sousa Bueno Filho   +7 more
doaj   +1 more source

Prior distributions for variance parameters in hierarchical models [PDF]

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider
Andrew Gelman
core   +2 more sources

A noninformative prior for neural networks

, 2000
While many implementations of Bayesian neural networks use large, complex hierarchical priors, in much of modern Bayesian statistics, noninformative (flat) priors are very common.
Herbert K. H. Lee
core  

Bayesian inference of Gaussian mixture models with noninformative priors

, 2014
This paper deals with Bayesian inference of a mixture of Gaussian dis-tributions. A novel formulation of the mixture model is introduced, which includes the prior constraint that each Gaussian component is always as-signed a minimal number of data points.
Colin J. Stoneking
core  

Bayesian estimation of adaptability and stability parameters in watermelon genotypes using the Toler model

Crop Breeding and Applied Biotechnology
The objective of this study was to evaluate the adaptability and phenotypic stability of watermelon hybrids across diverse environments in the semiarid region of Rio Grande do Norte, Brazil, using Toler’s simple linear and piecewise linear models under ...
Carla Caroline Alves Pereira, Maxsuel Marcos Fernandes de Lima, Adriano Ferreira Martins, Francismária Freitas de Lima, Nynyve Thaynar Brito de Almeida, Edicleide Macedo da Silva, Lindomar Maria da Silveira, Glauber Henrique de Sousa Nunes   +7 more
doaj  

Stellar Mass Calibrations for Local Low-mass Galaxies

The Astrophysical Journal
The stellar masses of galaxies are measured from integrated light via several methods—however, few of these methods were designed for low-mass ( M _⋆ ≲ 10 ^8 M _⊙ ) “dwarf” galaxies, whose properties (e.g., stochastic star formation, low metallicity ...
Mithi A. C. de los Reyes, Yasmeen Asali, Risa H. Wechsler, Marla Geha, Yao-Yuan Mao, Erin Kado-Fong, Ragadeepika Pucha, William Grant, Pratik J. Gandhi, Viraj Manwadkar, Anna Engelhardt, Ferah Munshi, Yunchong Wang   +12 more
doaj   +1 more source

Permissible noninformative priors for the accelerated life test model with censored data. [PDF]

Springerplus, 2016
Zhang F, Shi Y.
europepmc   +1 more source

Bayesian Analysis for Random Coefficient Regression Models Using Noninformative Priors

We apply Bayesian approach, through noninformative priors, to analyze a Random Coefficient Regression (RCR) model. The Fisher information matrix, the Jeffreys prior and reference priors are derived for this model.
Yang, R. Y.
core