Buch, Englisch, 834 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1569 g
Buch, Englisch, 834 Seiten, Previously published in hardcover, Format (B × H): 178 mm x 254 mm, Gewicht: 1569 g
ISBN: 978-1-4899-7733-5
Verlag: Springer US
Featuring MATLAB examples to provide motivation for the theory to come, this introductory text incorporates MATLAB code to allow students to understand how the theory is applied in practice. Numerous computer exercises familiarize the student with MATLAB and how it is used to solve real problems. "Real-world" problems from various disciplines are emphasized in each chapter to illlustrate the application of the concepts. Beginning with discrete random variables, readers then encounter continuous random variables, thus minimizing confusion.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik Mathematik Stochastik
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
Weitere Infos & Material
Computer Simulation.- Basic Probability.- Conditional Probability.- Discrete Random Variables.- Expected Values for Discrete Random Variables.- Multiple Discrete Random Variables.- Conditional Probability Mass Functions.- Discrete N-Dimensional Random Variables.- Continuous Random Variables.- Expected Values for Continuous Random Variables.- Multiple Continuous Random Variables.- Conditional Probability Density Functions.- Continuous N-Dimensional Random Variables.- Probability and Moment Approximations Using Limit Theorems.- Basic Random Processes.- Wide Sense Stationary Random Processes.- Linear Systems and Wide Sense Stationary Random Processes.- Multiple Wide Sense Stationary Random Processes.- Gaussian Random Processes.- Poisson Random Processes.- Markov Chains.
