Logo

Nonlinear Parameter Estimation: An Integrated System in Basic

Nonlinear Parameter Estimation: An Integrated System in Basic
by

Publisher: Marcel Dekker Inc
ISBN/ASIN: 0824778197
Number of pages: 493

Description:
This book and software collection is intended to help scientists, engineers and statisticians in their work. We have collected various software tools for nonlinear parameter estimation, along with representative example problems, and provided sufficient "glue" in the form of procedures, documentation, and auxiliary program code to allow for relatively easy use of the software system for nonlinear parameter estimation.

This document is no more available for free.

Similar books

Book cover: Markov Chains and Stochastic StabilityMarkov Chains and Stochastic Stability
by - Springer
The book on the theory of general state space Markov chains, and its application to time series analysis, operations research and systems and control theory. An advanced graduate text and a monograph treating the stability of Markov chains.
(15315 views)
Book cover: Applied Stochastic Processes in Science and EngineeringApplied Stochastic Processes in Science and Engineering
by - University of Waterloo
This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. A senior undergraduate course offered to students with a suitably mathematical background.
(2788 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(5933 views)
Book cover: Stochastic ProcessesStochastic Processes
by - BookBoon
In this book you will find the basic stochastic processes mathematics that is needed by engineers and university students. Topics such as elementary probability calculus, density functions and stochastic processes are illustrated.
(4550 views)