Montemar, Claire, author. <br/><br/>
Probability theory and examples /  
Claire Montemar. 
 - Oakville, ON :  Arcler Press,   c2018. 
 - ix, 343 pages 
<br/><br/> To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required). 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Chapter 1: History and Fundamentals of Probability<br/>Chapter 2: Axioms of Probability<br/>Chapter 3: Random Variable<br/>Chapter 4: Expectation<br/>Chapter 5: Discrete Probability Distribution -  I<br/>Chapter 6: Discrete Probability Distribution -  II<br/>Chapter 7: Continuous Probability Distributions<br/>Chapter 8: Normal Distribution<br/>Chapter 9: Regression and Correlation  
<br/><br/> Presenting a clear, comprehensive and systematic account of various probability theories and to explain how they relate to one another. This text is written for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. Well known for the clear, inductive nature of its exposition, this book is an excellent introduction to mathematical probability theory with examples. 
<br/><br/><br/>In English text. 
<br/><br/><label>ISBN: </label>9781984601865 (e-book) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probability theory and examples--Probabilities.  
<br/><br/><label>LC Class. No.: </label>EBOP QA 273  / M66 2018