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: Introduction to Stochastic ProcessesIntroduction to Stochastic Processes
by - The University of Texas at Austin
Contents: Probability review; Mathematica in 15 minutes; Stochastic Processes; Simple random walk; Generating functions; Random walks - advanced methods; Branching processes; Markov Chains; The 'Stochastics' package; Classification of States; etc.
(8171 views)
Book cover: Lectures on Singular Stochastic PDEsLectures on Singular Stochastic PDEs
by - arXiv
The aim is to introduce the basic problems of non-linear PDEs with stochastic and irregular terms. We explain how it is possible to handle them using two main techniques: the notion of energy solutions and that of paracontrolled distributions.
(6869 views)
Book cover: Lectures on Stochastic Differential Equations and Malliavin CalculusLectures on Stochastic Differential Equations and Malliavin Calculus
by - Tata Institute of Fundamental Research
The author's main purpose in these lectures was to study solutions of stochastic differential equations as Wiener functionals and apply to them some infinite dimensional functional analysis. This idea was due to P. Malliavin.
(10578 views)
Book cover: Stochastic Differential Equations: Models and NumericsStochastic Differential Equations: Models and Numerics
by - KTH
The goal of this course is to give useful understanding for solving problems formulated by stochastic differential equations models in science, engineering and finance. Typically, these problems require numerical methods to obtain a solution.
(8136 views)