Montemar, Claire, author.
Probability theory and examples / Claire Montemar. - Oakville, ON : Arcler Press, c2018. - ix, 343 pages
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes bibliographical references and index.
Chapter 1: History and Fundamentals of Probability
Chapter 2: Axioms of Probability
Chapter 3: Random Variable
Chapter 4: Expectation
Chapter 5: Discrete Probability Distribution - I
Chapter 6: Discrete Probability Distribution - II
Chapter 7: Continuous Probability Distributions
Chapter 8: Normal Distribution
Chapter 9: Regression and Correlation
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.
In English text.
9781984601865 (e-book)
Probability theory and examples--Probabilities.
EBOP QA 273 / M66 2018
Probability theory and examples / Claire Montemar. - Oakville, ON : Arcler Press, c2018. - ix, 343 pages
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
Includes bibliographical references and index.
Chapter 1: History and Fundamentals of Probability
Chapter 2: Axioms of Probability
Chapter 3: Random Variable
Chapter 4: Expectation
Chapter 5: Discrete Probability Distribution - I
Chapter 6: Discrete Probability Distribution - II
Chapter 7: Continuous Probability Distributions
Chapter 8: Normal Distribution
Chapter 9: Regression and Correlation
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.
In English text.
9781984601865 (e-book)
Probability theory and examples--Probabilities.
EBOP QA 273 / M66 2018