Distribution Theory With Applications in Engineering And Physics

by Antoine Guisan (Author),‎ Wilfried Thuiller (Author),‎ Niklaus E. Zimmermann (Author)

A Modern Theory of Random Variation is a new and radical re-formulation of the mathematical underpinnings of subjects as diverse as investment, communication engineering, and quantum mechanics. Setting aside the classical theory of probability measure spaces, the book utilizes a mathematically rigorous version of the theory of random variation that bases itself exclusively on finitely additive probability distribution functions.

A complete collection for all students of Power and Electronics Engineering, or for professionals looking for a handy reference book. As a friend of mine once said : perhaps the most valuable collection to possess when the apocalypse hits and we have to rebuild everything!

With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. These models form the basis of well-known parametric lifetime distributions such as exponential, Weibull, and gamma distributions, as well as change-point and mixture models.

This volume is dedicated to
This book contains the method of chaos to detect the level of chaotic motion such as entropy, Lyapunov exponent, Poincare map, and phase-plane diagram.