Results 11 to 20 of about 915,441 (269)

INTERVAL ESTIMATION FOR THE RATIO OF SCALE PARAMETERS AND FOR ORDERED SCALE PARAMETERS [PDF]

open access: yesStatistics & Risk Modeling, 2000
Summary: Confidence intervals for the ratio of scale parameters are constructed in general families of distributions with nuisance (location) parameters. Each of these intervals has coverage probability at least as large as that of the standard minimum size (i.e., minimum ratio of endpoints) interval and, in addition, smaller size.
Iliopoulos, G., Kourouklis, S.
openaire   +2 more sources

Skewness by Splitting the Scale Parameter [PDF]

open access: yesCommunications in Statistics - Theory and Methods, 2006
There are several possibilities for introducing skewness into a symmetric distribution. One of these procedures applies two different parameters of scale—with possibly different weights—to the positive and the negative part of a symmetric density. Within this work we show that this technique incorporates a well-defined parameter of skewness, i.e., that
Klein, Ingo, Fischer, Matthias J.
openaire   +2 more sources

Global-scale parameters for ecological models

open access: yesScientific Data, 2023
AbstractThis paper presents a collection of environmental, geophysical, and other marine-related data for marine ecological models and ecological-niche models. It consists of 2132 raster data for 58 distinct parameters at regional and global scales in the ESRI-GRID ASCII format.
Gianpaolo Coro   +2 more
openaire   +3 more sources

Estimation of the scale parameter of gamma model in presence of outlier observations

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1990
This paper considers the Bayesian point estimation of the scale parameter for a two-parameter gamma life-testing model in presence of several outlier observations in the data.
M. E. Ghitany
doaj   +1 more source

The statistical analysis and application of asymmetric three-parameter weibull distribution

open access: yes上海师范大学学报. 自然科学版, 2018
On the basis of two-parameter Weibull distribution,we propose asymmetric three-parameter Weibull distribution which takes values in (-∞,+∞),and study its graphic features of the density function as well as the numerical characteristics of this ...
Hu Yinhua, Xu Xiaoling
doaj   +1 more source

Full-Scale Digesters: An Online Model Parameter Identification Strategy

open access: yesEnergies, 2022
This work presents a new standard in the model, identification, and control of monitoring purposes over anaerobic reactors. One requirement that guarantees a normal controller operation is for the faculty to measure the data needed periodically.
Luis G. Cortés   +6 more
doaj   +1 more source

SCALE-INVARIANT AND WAVE NATURE OF THE HUBBLE PARAMETER

open access: yesEurasian Physical Technical Journal, 2021
The value of the global Hubble parameter corresponding to astrophysical observations was determined theoretically without using ʌСDM models. A nonlinear fractal model of the connection between the distance to the observed galaxy and its coordinate is ...
Z.Zh. Zhanabaev   +2 more
doaj   +1 more source

Optimal segmentation parameters prediction using a orthogonal decomposition approach for geographical object based classification of urban areas

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2021
Good image segmentation produces objects that are internally homogeneous and distinct from their neighbors. Several approaches are used to assess the quality of segmentation parameters including visual observation of multiple segmentation results and ...
Guy Blanchard Ikokou, Julian Smit
doaj   +1 more source

Robust Bayesian Inference on Scale Parameters [PDF]

open access: yesJournal of Multivariate Analysis, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, C.   +2 more
openaire   +4 more sources

Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks. [PDF]

open access: yesPLoS Computational Biology, 2017
Mechanistic mathematical modeling of biochemical reaction networks using ordinary differential equation (ODE) models has improved our understanding of small- and medium-scale biological processes.
Fabian Fröhlich   +3 more
doaj   +1 more source

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