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Stochastic Processes, Estimation, and Control (Advances in Design and Control) by Jason Lee Speyer; Walter H Chung; Society for Industrial and Applied Mathematics is a nonfiction available to read on EtoBox.

What is Stochastic Processes, Estimation, and Control (Advances in Design and Control) about?

Contents......Page 8 Book Content......Page 12 1.1 Probability Theory as a Set of Outcomes......Page 16 1.2 Set Theory......Page 21 1.3 Probability Space and the Probability Measure......Page 23 1.4 Algebras of Sets and Probability Space......Page 24 1.5 Key Concepts in Probability Theory......Page 28 1.6 Exercises......Page 33 2.1 Random Variables......Page 40 2.2 Probability Distribution Function......Page 43 2.3 Probability Density Function......Page 46 2.4 Probabilistic Concepts Applied to Random Variables......Page 50 2.5 Functions of a Random Variable......Page 52 2.6 Expectations and Moments of a Random Variable......Page 55 2.7 Characteristic Functions......Page 61 2.8 Conditional Expectations and Conditional Probabilities......Page 68 2.9 Stochastic Processes......Page 74 2.10 Gauss–Markov Processes......Page 78 2.11 Nonlinear Stochastic Difference Equations......Page 80 2.12 Exercises......Page 81 3.1 Minimum Variance Estimation......Page 96 3.2 Conditional Estimate of a Gaussian Random Vector with Additive Gaussian Noise......Page 103 3.3 Maximum Likelihood Estimation......Page 109 3.4 The Discrete-Time Kalman Filter: Conditional Mean Estimator......Page 110 3.5 “Tuning”

Who reads Stochastic Processes, Estimation, and Control (Advances in Design and Control)?

Author

Jason Lee Speyer; Walter H Chung; Society for Industrial and Applied Mathematics

Publisher

Society for Industrial and Applied Mathematics; Society for Industrial and Applied Mathematics (SIAM)

Published

2008

Language

EN

ISBN

9780898716559

Category

nonfiction

Subjects

Mathematics, Science, Stem