Results 61 to 70 of about 1,540,046 (195)

REDUCTION OF MODELS IN THE PRESENCE OF NUISANCE PARAMETERS REDUCCIÓN DE MODELOS EN LA PRESENCIA DE PARÁMETROS DE PERTURBACIÓN

Revista Colombiana de Estadística, 2009
In many statistical inference problems, there is interest in estimation of only some elements of the parameter vector that defines the adopted model.
Farias Rafael, Moreno Germán, Patriota Alexandre   +2 more
doaj  

Estimation and Inference for Threshold Effects in Panel Data Stochastic Frontier Models [PDF]

One of the most enduring problems in cross-section or panel data models is heterogeneity among individual observations. Different approaches have been proposed to deal with this issue, but threshold regression models offer intuitively appealing ...
Yelou, Clement, Larue, Bruno, Tran, Kien C.   +2 more
core  

Global fits of GUT-scale SUSY models with GAMBIT

European Physical Journal C: Particles and Fields, 2017
We present the most comprehensive global fits to date of three supersymmetric models motivated by grand unification: the constrained minimal supersymmetric standard model (CMSSM), and its Non-Universal Higgs Mass generalisations NUHM1 and NUHM2.
The GAMBIT Collaboration:, Peter Athron, Csaba Balázs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Joakim Edsjö, Ben Farmer, Paul Jackson, Abram Krislock, Anders Kvellestad, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev, Christopher Rogan, Roberto Ruiz de Austri, Aldo Saavedra, Christopher Savage, Pat Scott, Nicola Serra, Christoph Weniger, Martin White   +25 more
doaj   +1 more source

A Physics-Informed Dual-Stem Neural Network With Data Generation Engine for Label-Scarce and Sparse-Data Inverse Problems

IEEE Access
Inverse problems in computational physics often face dual scarcity: few real measurements and no ground-truth labels during deployment. When an imperfect forward model exhibits structured simulation-to-measurement mismatch and the target parameter is ...
Yuan Zhang, Jiao Zhao, Lin Chen, Mingyang Li, Jiahao Han, Qiang Lin, Bin Wu, Zhenghui Hu   +7 more
doaj   +1 more source

Using Extraneous Information and GMM to Estimate Threshold Parameters in TAR Models [PDF]

A prominent class of nonlinear time series models are threshold autoregressive models. Recently work by Kapetanios (2000) has shown in a Monte Carlo setting that the superconsistency property of the threshold parameter estimates does not translate to ...
George Kapetanios
core  

Confidence interval and test for the mean of a zero-inflated two-parameter negative binomial distribution

Research in Statistics
Zero-inflated over-dispersed count data arise in many applications, motivating the zero-inflated negative binomial family. We develop likelihood-based inference for the negative binomial two-parameter (NB2) component mean [Formula: see text] under a zero-
Md Mahadi Hasan, Md Monzur Murshed, Md Nahid Hasan   +2 more
doaj   +1 more source

Statistical Characteristics of Signal Parameter Estimation by Normalized Correlation Function Maximization

Известия высших учебных заведений России: Радиоэлектроника, 2018
In this paper differences between Fisher Information Matrix (FIM) and inverse covariation matrix of normalized correlation estimations for white and colored noise are investigated.
I. V. Gogolev, G. Yu. Yashin
doaj   +1 more source

Statistical models with uncertain error parameters

European Physical Journal C: Particles and Fields, 2019
In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Glen Cowan
doaj   +1 more source

Incidental Versus Random Nuisance Parameters

The Annals of Statistics, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Using the prior mean of a nuisance parameter

Nuisance parameter, Prior mean, Mean squared error, Normal distribution,
Julián Horra
core   +1 more source