Intuitive Probability and Random Processes using MATLAB / Steven M. Kay.

By: Kay, Steven MPublisher: New York : Springer, c2006Description: xviii, 833 p. : ill. ; 27 cmISBN: 0387241574 (acid-free paper); 0387241582 (e-book); 9780387241579 (acid-free paper)Subject(s): Probabilities -- Computer simulation | Stochastic processes -- Computer simulationDDC classification: 519.20113,KAY Online resources: Publisher description | Table of contents only
Contents:
Introduction (Page-1), Computer Simulation (Page-13), Basic Probability (Page-37), Conditional Probability (Page-73), Discrete Random Variables (Page-105), Expected Values for Discrete Random Variables (Page-133), Multiple Discrete Random Variables (Page-167), Conditional Probability Mass Functions (Page-215),Discreet N Dimensional Random Variables (Page-247), Continuous Random Variables (Page-285), Expected values for Continuous Random Variables (Page-343), Multi Continuous Random Variables (Page-377), Conditional Probability Density Function (Page-433), Continuous N Dimensional Random Variables (Page-457), Probability and Moment Approximation using Limits Theorems (Page-485), Basic Random Process (Page-515), Wide Sense Stationary Random Process (Page-547), Linear Systems and Wide Sense Stationary Random Process (Page-597), Gaussian Random Process (Page-673), Poisson Radom Process (Page-711), Markov Chains (Page-739).
Tags from this library: No tags from this library for this title. Log in to add tags.
Item type Current location Home library Shelving location Call number URL Status Notes Date due Barcode Item holds
Book Book Military College of Signals (MCS)
Military College of Signals (MCS)
General Stacks 519.20113,KAY (Browse shelf) Link to resource Available Almirah No.14, Shelf No.3 MCS35939
Reference Reference Military College of Signals (MCS)
Military College of Signals (MCS)
Reference 519.20113,KAY (Browse shelf) Link to resource Not for loan Almirah No.19, Shelf No.5 MCS35940
Total holds: 0

Introduction (Page-1), Computer Simulation (Page-13), Basic Probability (Page-37), Conditional Probability (Page-73), Discrete Random Variables (Page-105), Expected Values for Discrete Random Variables (Page-133), Multiple Discrete Random Variables (Page-167), Conditional Probability Mass Functions (Page-215),Discreet N Dimensional Random Variables (Page-247), Continuous Random Variables (Page-285), Expected values for Continuous Random Variables (Page-343), Multi Continuous Random Variables (Page-377), Conditional Probability Density Function (Page-433), Continuous N Dimensional Random Variables (Page-457), Probability and Moment Approximation using Limits Theorems (Page-485), Basic Random Process (Page-515), Wide Sense Stationary Random Process (Page-547), Linear Systems and Wide Sense Stationary Random Process (Page-597), Gaussian Random Process (Page-673), Poisson Radom Process (Page-711), Markov Chains (Page-739).

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

© 2023 Central Library, National University of Sciences and Technology. All Rights Reserved.