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Inference and Modeling with Log-concave Distributions
Log-concave Distributions Inference and Modeling
2015/8/20
Log-concave distributions are an attractive choice for modeling
and inference, for several reasons: The class of log-concave distributions contains most of the commonly used parametric distributions ...
Influence of Teacher Support and Personal Relevance on Academic Self-Efficacy and Enjoyment of Mathematics Lessons: A Structural Equation Modeling Approach
academic self-efficacy learning environment
2015/7/6
The purpose of our study was to examine the effects of two psychosocial features of the classroom environment (teacher support and personal relevance) on college students’ academic self-efficacy and e...
Multi-scale turbulence modeling and maximum information principle. Part 1
Multi-scale turbulence modeling maximum information principle
2010/12/15
We discuss averaged turbulence modeling of multi-scales of length for an incompressible Newtonian fluid, with the help of the maximum information principle. We suppose that there exists a function bas...
An adaptive algorithm for the cornea modeling from keratometric data
Zernike polynomials surface reconstruction surface modeling corneal irregularities
2010/12/15
In this paper we describe an adaptive and multi-scale algorithm for the parsimonious t of the corneal surface data that allows to adapt the number of functions used in the econstruction to the condit...
Matter-Element Modeling of Parallel Structure and Application about Extension PID Control System
Extension control system matter modeling parallel structure PID predictable algorithm
2007/12/11
This article describes in detail a new method via the extension predictable algorithm of the matter-element model of parallel structure tuning the parameters of the extension PID controller. In compar...