Introduction to Probability

The book is a beautiful introduction to probability theory at the beginning level. The book contains a lot of examples and an easy development of theory without any sacrifice of rigor, keeping the abstraction to a minimal level. It is indeed a valuable addition to the study of probability theory.

This book is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses.

Pages : 510 pages
Size : PDF (3.2 MB)
File type : pdf
Downloads: 32
Created: 2020-08-29
License: GNU Free Documentation License (FDL)
Author(s): Charles M. Grinstead and J. Laurie Snell
Introduction to Probability

Others Probability Tutorials

Discrete Structures for Computer Science: Counting, Recursion, and Probability

Introduction to Probability, Statistics, and Random Processes

Probability and Statistics: A Course for Physicists and Engineers

Others related eBooks about Introduction to Probability

How to become an Ethical Hacker

This is a series of lessons that's basic about the networking concepts, networking tools, security and countermeasures....

Open Source Systems

Download free course Open Source Systems, pdf file on 217 pages by Vladimir Ivanov, Artem Kruglov, Sergey Masyagin, Alberto Sillitti, Giancarlo Succi....

Introduction to OKRs

Download free course Introduction to OKRs, pdf file on 37 pages by Christina Wodtke....

Pro Git

Pro Git (Second Edition) is your fully-updated guide to Git and its usage in the modern world. Git has come a long way since it was first developed by Linus Torvalds for Linux kernel development. It has taken the open source world by storm since its inception in 2005, and this book teaches you how...

Implementing CIFS: The Common Internet File System

This book is an authoritative, cross-platform guide to CIFS capabilities and behavior. Implementing CIFS not only delivers the priceless knowledge of a Samba Team member dedicated to investigating the inner workings of CIFS, it also identifies and describes crucial specifications and supporting d...

New Applications of Artificial Intelligence

This book has a complete set of applications of artificial neural networks that allow the reader to gain experience about the new systems for implementing and developing artificial intelligence (AI) methods, which can run in several digital systems. On the other hand, the book shows the newest alg...

Think Stats, 2nd Edition

If you know how to program, you have the skills to turn data into knowledge, using tools o..., download free Stats tutorial in PDF (226 pages) created by ....

Think Stats, 2nd Edition: Exploratory Data Analysis in Python

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. ...

Interpretable Machine Learning

This book is about making machine learning models and their decisions interpretable. After..., download free Machine Learning tutorial in PDF (312 pages) created by Christoph Molnar ....

Physical Modeling in MATLAB

An introductory textbook for people who have not programmed before. Covers basic MATLAB programming with emphasis on modeling and simulation of physical systems. ...