Results 111 to 120 of about 651,174 (217)
<p class="MsoNormal" style="margin: 0cm 0cm 10pt;"><span style="line-height: 115%; font-family: ";Arial";,";sans-serif";; font-size: 12pt; mso-ansi-language: EN-US;" lang="EN-US">The structural model of the studied zone, was generated from ...
Díaz Campos Ramiro León +2 more
doaj
A LINEAR INVERSE DEMAND SYSTEM
We present an inverse demand that can be estimated in a linear form. The model is derived from a specification of the distance function which is parametrically similar to the cost function underlying the Almost Ideal Demand System.
Vissa, Anuradha, Moschini, GianCarlo
core
An R Package for a General Class of Inverse Gaussian Distributions
The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed.
Hugo Hernández +2 more
core
Interpolation, outliers and inverse autocorrelations [PDF]
The paper addresses the problem of estimating missing observations in linear, possibly nonstationary, stochastic processes when the model is known. The general case of any possible distribution of missing observations in the time series is considered ...
Maravall, Agustín, Peña, Daniel
core
Inverse Model Predictive Control for Power Electronic Converters
In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control.
Ali Sharida +3 more
doaj +1 more source
Coscattering dark matter in the inverse scotogenic model
The Scotogenic mechanism is an appealing pathway to naturally explain the common origin of dark matter and tiny neutrino mass. However, the conventional scotogenic dark matter usually suffers stringent constraints from the non-observation of lepton ...
Ang Liu +4 more
doaj +1 more source
An Inversion Model for q-Identities
Ian P. Goulden, David M. Jackson 0001
openaire +2 more sources
Efficient MCMC and posterior consistency for Bayesian inverse problems [PDF]
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data.
Vollmer, Sebastian
core
Inverse model based error detection in beamline optics
Optics tuning in transfer lines and LINACs can be challenging due to the fact that multiple combinations of machine settings can lead to the same diagnostic output.
J P Edelen +5 more
doaj +1 more source
Inverse Model for the Control of Induction Heat Treatments. [PDF]
Asadzadeh MZ +4 more
europepmc +1 more source

