| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
250312107 Buchausg. u.d.T.: ‡Kay, Steven M., - 1951-: Intuitive probability and random processes using MATLAB |
| ISBN |
978-0-387-24157-9 |
| Name |
Kay, Steven M. |
| T I T E L |
Intuitive Probability and Random Processes Using MATLAB® |
| Verlagsort |
Boston, MA |
| Verlag |
Steven M. Kay |
| Erscheinungsjahr |
2006 |
| 2006 |
| Umfang |
Online-Ressource (XVIII, 833 p, digital) |
| Reihe |
SpringerLink. Bücher |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Weiterer Inhalt |
""Preface""; ""Contents""; ""Chapter 1 Introduction""; ""Chapter 2 Computer Simulation""; ""Chapter 3 Basic Probability""; ""Chapter 4 Conditional Probability""; ""Chapter 5 Discrete Random Variables""; ""Chapter 6 Expected Values for Discrete Random Variables""; ""Appendix 6A Derivation of E[g(X)] Formula""; ""Appendix 6B MATLAB Code Used to Estimate Mean and Variance""; ""Chapter 7 Multiple Discrete Random Variables""; ""Appendix 7A Derivation of the Cauchy-Schwarz Inequality""; ""Chapter 8 Conditional Probability Mass Functions""; ""Chapter 9 Discrete N-Dimensional Random Variables"". ""Chapter 10 Continuous Random Variables""""Appendix lOA Derivation of PDF of a Transformed Continuous Random Variable""; ""Appendix lOB MATLAB Subprograms to Compute Q and Inverse Q Functions""; ""Chapter 11 Expected Values for Continuous Random Variables""; ""Appendix 11A Partial Proof of Expected Value of Function of Continuous Random Variable""; ""Chapter 12 Multiple Continuous Random Variables""; ""Chapter 13 Conditional Probability Density Functions""; ""Chapter 14 Continuous N-Dimensional Random Variables""; ""Chapter 15 Probability and Moment Approximations Using Limit Theorems"". ""Appendix 15A MATLAB Program to Compute Repeated Convolution of PDFs""""Appendix 15B Proof of Central Limit Theorem""; ""Chapter 16 Basic Random Processes""; ""Chapter 17 Wide Sense Stationary Random Processes""; ""Chapter 18 Linear Systems and Wide Sense Stationary Random Processes""; ""Appendix 18A Solution for Infinite Length Predictor""; ""Chapter 19 MultipleWide Sense Stationary Random Processes""; ""Chapter 20 Gaussian Random Processes""; ""Appendix 20A MATLAB Listing for Figure 20.2""; ""Chapter 21 Poisson Random Processes""; ""Appendix 21A Joint PDF for Interarrival Times"". ""Chapter 22 Markov Chains""""Appendix 22A Solving for the Stationary PMF""; ""Appendix A Glossary of Symbols and Abbrevations""; ""Appendix B Assorted Math Facts and Formulas""; ""Appendix C Linear and Matrix Algebra""; ""Appendix D Summary of Signals, Linear Transforms, and Linear Systems""; ""Appendix E Answers to Selected Problems""; ""Index"" |
| Titelhinweis |
Buchausg. u.d.T.: ‡Kay, Steven M., - 1951-: Intuitive probability and random processes using MATLAB |
| ISBN |
ISBN 978-0-387-24158-6 |
| Klassifikation |
TTBM |
| UYS |
| TEC008000 |
| COM073000 |
| TJK |
| TEC041000 |
| 621.382 |
| 519.2/01/13 |
| TK5102.9 |
| TA1637-1638 |
| TK7882.S65 |
| SK 800 |
| Kurzbeschreibung |
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. |
| 2. Kurzbeschreibung |
Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering. |
| 1. Schlagwortkette |
Stochastischer Prozess |
| MATLAB |
| ANZEIGE DER KETTE |
Stochastischer Prozess -- MATLAB |
| 2. Schlagwortkette |
Wahrscheinlichkeitstheorie |
| MATLAB |
| ANZEIGE DER KETTE |
Wahrscheinlichkeitstheorie -- MATLAB |
| 3. Schlagwortkette |
Stochastischer Prozess |
| MATLAB |
| ANZEIGE DER KETTE |
Stochastischer Prozess -- MATLAB |
| 4. Schlagwortkette |
Wahrscheinlichkeitstheorie |
| ANZEIGE DER KETTE |
Wahrscheinlichkeitstheorie |
| SWB-Titel-Idn |
264332474 |
| Signatur |
Springer E-Book |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/b104645 |
| Internetseite / Link |
Volltext |
| Siehe auch |
Volltext |
| Siehe auch |
Kapitel 2 |
| Siehe auch |
Cover |
