Probability theory and examples / Claire Montemar.

By:

Montemar, Claire, author

Material type:

TextPublication details: Oakville, ON : Arcler Press, c2018.Description: ix, 343 pagesISBN:

9781984601865 (e-book)

Subject(s):

Probability theory and examples -- Probabilities

LOC classification:

EBOP QA 273 M66 2018

Contents:

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

Summary: 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.

List(s) this item appears in: Newly Acquired E-Books

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	E-Books	Cavite State University - CCAT Campus		Electronic Resources	ER	EBOP QA 273 M66 2018 (Browse shelf(Opens below))				1 copy	Available			EBOP0000053

Browsing Cavite State University - CCAT Campus shelves,Shelving location: ER,Collection: Electronic Resources Close shelf browser (Hides shelf browser)

Previous								Next
Previous	EBOP QA 184 M66 2018 Linear algebra : theorems and applications /	EBOP QA 241 N86 2020 Number theory with applications to cryptography /	EBOP QA 263 M48 2018 Methods of matrix algebra /	EBOP QA 273 M66 2018 Probability theory and examples /	EBOP QA 36 Y39 2020 Fundamentals of advanced mathematics /	EBOP QA 401 M63 2020 Modeling in Mathematics /	EBOP QA 531 T38 2018 Elements of trigonometry /	Next

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.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer