Abstract: This technical note studies characterizations and stability criteria for the 2-mode Markovian switched nonlinear systems. A Markovian switched nonlinear system is a switched system where its ...
This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
In this valuable contribution, the authors present a novel and versatile probabilistic tool for classifying tracking behaviors and understanding parameters for different types of single-particle ...
1 G. A. Jarvis Prof. of Physics, Emer., Trinity College, Hartford, USA. 2 Tall Pines Research, Simsbury, USA. Recent investigations have shown that a bivariant lognormal probability density function ...
Understanding Joint Probability Density Functions | Examples and Key Concepts In this video, we examine joint probability density functions (PDFs), a key concept in probability and statistics that ...
The authors proposed a novel deep learning framework to estimate posterior distributions of tissue microstructure parameters. This provides a valuable methodology with practical implications for ...
What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
The new Joint Employer Rule broadens the definition of joint employment, potentially making franchisors liable for employees they don’t directly employ or manage. The rule is expected to have several ...
College of Engineering and Technology, University of Science and Technology of Fujairah, Fujairah, United Arab Emirates This work aims to evaluate different error ...
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