A BAYESIAN UNCERTAINTY ANALYSIS OF CETACEAN DEMOGRAPHY AND BYCATCH MORTALITY USING AGE-AT-DEATH DATA

2008 ◽  
Vol 18 (8) ◽  
pp. 1914-1931 ◽  
Author(s):  
Jeffrey E. Moore ◽  
Andrew J. Read
Keyword(s):  
Uncertainty Analysis ◽  
Age At Death ◽  
Bayesian Uncertainty Analysis ◽  
Death Data

Bayesian uncertainty analysis of inversion models applied to the inference of thermal properties of walls

2021 ◽  
pp. 111188
Author(s):  
Séverine Demeyer ◽  
V. Le Sant ◽  
A. Koenen ◽  
N. Fischer ◽  
Julien Waeytens ◽  
...  
Keyword(s):  
Thermal Properties ◽  
Uncertainty Analysis ◽  
Bayesian Uncertainty Analysis

scholarly journals Revisiting thermodynamics and kinetic diffusivities of uranium–niobium with Bayesian uncertainty analysis

Calphad ◽  
2016 ◽  
Vol 55 ◽  
pp. 219-230 ◽  
Author(s):  
Thien C. Duong ◽  
Robert E. Hackenberg ◽  
Alex Landa ◽  
Pejman Honarmandi ◽  
Anjana Talapatra ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Bayesian Uncertainty Analysis

Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis

2015 ◽  
Vol 529 ◽  
pp. 940-950 ◽  
Author(s):  
Sanyuan Jiang ◽  
Seifeddine Jomaa ◽  
Olaf Büttner ◽  
Günter Meon ◽  
Michael Rode
Keyword(s):  
Uncertainty Analysis ◽  
Nitrogen Model ◽  
Bayesian Uncertainty Analysis ◽  
Site Identification

Bayesian uncertainty analysis with applications to turbulence modeling

2011 ◽  
Vol 96 (9) ◽  
pp. 1137-1149 ◽  
Author(s):  
Sai Hung Cheung ◽  
Todd A. Oliver ◽  
Ernesto E. Prudencio ◽  
Serge Prudhomme ◽  
Robert D. Moser
Keyword(s):  
Uncertainty Analysis ◽  
Turbulence Modeling ◽  
Bayesian Uncertainty Analysis

On Reconstitution of Smooth Distributions from Grouped Data

2016 ◽  
Vol 11 (2) ◽  
pp. 367-384
Author(s):  
К.К. Авилов ◽  
K.K. Avilov
Keyword(s):  
Grouped Data ◽  
Nonparametric Method ◽  
Age At Death ◽  
Incidence Data ◽  
Nonparametric Approach ◽  
Computational Simplicity ◽  
The Mathematical Model ◽  
Exact Equality ◽  
Cancer Incidence Data ◽  
Death Data

In the paper, proposed is a simple nonparametric method of reconstitution of smooth distributions of additive quantities from grouped data. The method is based on the requirement of minimization of the norm of non-smoothness measure of the solution under the condition of exact equality of the group sums, which reduces the problem to the quadratic programming problem. The method was tested on the age-at-death data; its precision was shown to be comparable to and exceeding the precision of a method of other authors. After testing it on the cancer incidence data, some drawbacks and limitations of the nonparametric approach were determined. The advantages of the proposed method are algorithmic and computational simplicity, good flexibility of the mathematical model.

An efficient surrogate modeling approach in Bayesian uncertainty analysis

2013 ◽  
Author(s):  
Guannan Zhang ◽  
Dan Lu ◽  
Ming Ye ◽  
Max Gunzburger ◽  
Clayton Webster
Keyword(s):  
Uncertainty Analysis ◽  
Surrogate Modeling ◽  
Modeling Approach ◽  
Bayesian Uncertainty Analysis

Demographic Structure of Pecos Indians: A Model Based on Life Tables

1980 ◽  
Vol 45 (3) ◽  
pp. 518-530 ◽  
Author(s):  
Charles M. Mobley
Keyword(s):  
New Mexico ◽  
Life Expectancy ◽  
Data Base ◽  
Analytical Method ◽  
Life Tables ◽  
Demographic Analysis ◽  
Age At Death ◽  
Demographic Structure ◽  
Model Based ◽  
Death Data

Age-at-death data on over 2,000 burials from two pueblo sites in New Mexico are subjected to demographic analysis. Prior studies are reviewed to illustrate deficiencies and qualifications in the data base and the analytical method. The skeletal assemblage is subdivided into seven samples by chronological phase, and life tables are constructed. Aspects such as mortality and life expectancy are then examined for each phase and a diachronic model of demographic structure is developed for Pecos Indians between A.D. 1150 and 1700.

Sign in / Sign up

Export Citation Format

Share Document