Catak, Muammer. <br/><br/>
Probability and Random Variables for Electrical Engineering  Probability: Measurement of Uncertainty /  [electronic resource] : 
by Muammer Catak, Tofigh Allahviranloo, Witold Pedrycz. 
 - 1st ed. 2022. 
 - 1 online resource 
 - Studies in Systems, Decision and Control,  390  2198-4190 ; .
 - Studies in Systems, Decision and Control,  390 .
<br/><br/>Introduction -- Continuous Random Variables -- Discrete Random Variables -- Multiple Random Variables -- Statistical Analysis of Random Variables -- Random Processes -- Spectral Analysis of Random Processes -- Linear Systems with Random Inputs -- Random Samples. 
<br/><br/> This book delivers a concise and carefully structured introduction to probability and random variables. It aims to build a linkage between the theoretical conceptual topics and the practical applications, especially in the undergraduate engineering area. The book motivates the student to gain full understanding of the fundamentals of probability theory and help acquire working problem-solving skills and apply the theory to engineering applications. Each chapter includes solved examples at varying levels (both introductory and advanced) in addition to problems that demonstrate the relevance of the probability and random variables in engineering. As authors, we focused on to find out the optimum ways in order to introduce the topics in probability and random variables area. 
<br/><br/><label>ISBN: </label>9783030829223 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-82922-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electrical engineering.<br/>Electric power production.<br/>Engineering mathematics.<br/>Electrical and Electronic Engineering.<br/>Electrical Power Engineering.<br/>Engineering Mathematics.
<br/><br/><label>Subjects--Index Terms: </label>Electrical engineering -- Mathematics Probabilities 
<br/><br/><label>LC Class. No.: </label>TA340