Comparing Bayesian and Frequentist Estimators of a Scalar Parameter

2010 ◽  
pp. 77-98
Author(s):  
Francisco J. Samaniego
Keyword(s):  
Scalar Parameter

Efficient composite likelihood for a scalar parameter of interest

Stat ◽  
2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Luigi Pace ◽  
Alessandra Salvan ◽  
Nicola Sartori
Keyword(s):  
Composite Likelihood ◽  
Scalar Parameter

Study on Image Quality Assessment with Scale Space Approach Using Index of Visual Evoked Potentials

2011 ◽  
pp. 165-176
Author(s):  
Hidehiko Hayashi ◽  
Akinori Minazuki
Keyword(s):  
Image Quality ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Image Quality Assessment ◽  
Objective Assessment ◽  
Scale Space ◽  
Assessment Method ◽  
Pattern Reversal ◽  
Scalar Parameter ◽  
Visual Evoked

This chapter presents an objective assessment method of image quality using visual evoked potentials (VEPs) to image engineer field based on multi-disciplinarily approach such as knowledge of neurobiology, image recognition theory, or computer vision. The multi-disciplinarily based objective assessment method applies Gaussian scale-space filtering in order to define a scalar parameter to depict blur image. In the experiment, visual stimuli are provided by the scalar parameter, and subjects are detected using VEPs. Their VEPs are recoded during observation of the checkerboard pattern reversal (PR) stimuli, and are analyzed with a latency of about Negative 145 msec (N145) component. The result of the experiment was that latency of N145 components were long about10-20 msec when parameters were large vale (more blur). This result shows one example of availableness for the multi-disciplinarily based objective assessment of image quality by integrating the pattern reversal visual evoked potential (PR-VEP) and the scale-space theory.

scholarly journals Using a scalar parameter to trace dislocation evolution in atomistic modeling

2015 ◽  
Vol 96 ◽  
pp. 85-89 ◽  
Author(s):  
J.B. Yang ◽  
Z.F. Zhang ◽  
Y.N. Osetsky ◽  
R.E. Stoller
Keyword(s):  
Atomistic Modeling ◽  
Scalar Parameter

ON A GENERALIZED LORENZ CANONICAL FORM OF CHAOTIC SYSTEMS

2002 ◽  
Vol 12 (08) ◽  
pp. 1789-1812 ◽  
Author(s):  
SERGEJ ČELIKOVSKÝ ◽  
GUANRONG CHEN
Keyword(s):  
Large Class ◽  
Canonical Form ◽  
Chaotic Systems ◽  
Lorenz System ◽  
Chen System ◽  
Scalar Parameter ◽  
Generalized Lorenz System ◽  
Special Cases ◽  
The One ◽  
Generalized Lorenz Canonical Form

This paper shows that a large class of systems, introduced in [Čelikovský & Vaněček, 1994; Vaněček & Čelikovský, 1996] as the so-called generalized Lorenz system, are state-equivalent to a special canonical form that covers a broader class of chaotic systems. This canonical form, called generalized Lorenz canonical form hereafter, generalizes the one introduced and analyzed in [Čelikovský & Vaněček, 1994; Vaněček & Čelikovský, 1996], and also covers the so-called Chen system, recently introduced in [Chen & Ueta, 1999; Ueta & Chen, 2000].Thus, this new generalized Lorenz canonical form contains as special cases the original Lorenz system, the generalized Lorenz system, and the Chen system, so that a comparison of the structures between two essential types of chaotic systems becomes possible. The most important property of the new canonical form is the parametrization that has precisely a single scalar parameter useful for chaos tuning, which has promising potential in future engineering chaos design. Some other closely related topics are also studied and discussed in the paper.

scholarly journals New Investigation for the Liu-Story Scaled Conjugate Gradient Method for Nonlinear Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Eman T. Hamed ◽  
Rana Z. Al-Kawaz ◽  
Abbas Y. Al-Bayati
Keyword(s):  
Nonlinear Optimization ◽  
Unconstrained Optimization ◽  
Conjugate Gradient Method ◽  
Conjugate Gradient ◽  
Gradient Method ◽  
Numerical Experiments ◽  
Scalar Parameter ◽  
Scaled Conjugate Gradient ◽  
Wolfe Conditions ◽  
Descent Condition

This article considers modified formulas for the standard conjugate gradient (CG) technique that is planned by Li and Fukushima. A new scalar parameter θkNew for this CG technique of unconstrained optimization is planned. The descent condition and global convergent property are established below using strong Wolfe conditions. Our numerical experiments show that the new proposed algorithms are more stable and economic as compared to some well-known standard CG methods.

On the Stability Criteria for Conservative Gyroscopic Systems

1991 ◽  
Vol 113 (1) ◽  
pp. 58-61 ◽  
Author(s):  
K. Huseyin
Keyword(s):  
Dynamical System ◽  
Stability Criteria ◽  
Scalar Parameter ◽  
Scope Of Application ◽  
The Stability ◽  
Gyroscopic Systems ◽  
New Criteria

Two alternative but equivalent stability criteria for linear conservative gyroscopic systems are presented. The development of the criteria is based on the concept of symmetrizability associated with general matrices, and the results are in terms of the matrices describing the dynamical system. Although the new criteria involves a scalar parameter, the restrictions associated with an earlier result are removed, and the scope of application is broadened. An illustrative example is presented.

Sign in / Sign up

Export Citation Format

Share Document