Probability

The branch of mathematics concerned with probability, the analysis of random phenomena.

All categoriesBooks under this sub-category (13 books)

Advanced Data Analysis from an Elementary Point of View

A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.

Advanced Data Analysis from an Elementary Point of View

A textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression.

An Introduction to the Science of Statistics: From Theory to Implementation, Preliminary Edition

An introductory textbook, dedicated to a higher level of understanding of the concepts and practical applications of statistics. A solid grasp of concepts and structures in calculus and algebra is required.

An Introduction to the Science of Statistics: From Theory to Implementation, Preliminary Edition

An introductory textbook, dedicated to a higher level of understanding of the concepts and practical applications of statistics. A solid grasp of concepts and structures in calculus and algebra is required.

Basic Queueing Theory: Foundations of System Performance Modeling

The aim of the book is to present the basic methods, approaches in a Markovian level for the analysis of not too complicated systems. The main purpose is to understand how models could be constructed and how to analyze them.

Basic Queueing Theory: Foundations of System Performance Modeling

The aim of the book is to present the basic methods, approaches in a Markovian level for the analysis of not too complicated systems. The main purpose is to understand how models could be constructed and how to analyze them.

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science

A textbook for a course in mathematical probability and statistics for computer science students.

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science

A textbook for a course in mathematical probability and statistics for computer science students.

Introduction to Probability and Statistics Using R

A textbook written for an undergraduate course in probability and statistics.

Introduction to Probability and Statistics Using R

A textbook written for an undergraduate course in probability and statistics.

Introduction to Probability, Statistics, and Random Processes

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields.

Introduction to Probability, Statistics, and Random Processes

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields.

Introduction to Queueing Theory and Stochastic Teletraffic Models

This textbook provides students with basic knowledge of stochastic models that may apply to telecommunications research areas, such as traffic modelling, resource provisioning and traffic management.

Introduction to Queueing Theory and Stochastic Teletraffic Models

This textbook provides students with basic knowledge of stochastic models that may apply to telecommunications research areas, such as traffic modelling, resource provisioning and traffic management.

This book is an exploration of the wide world of mathematics, with interesting applications to everyday life. It highlights algorithmic, graphical, algebraic, statistical, and analytic approaches to solving problems.

This book is an exploration of the wide world of mathematics, with interesting applications to everyday life. It highlights algorithmic, graphical, algebraic, statistical, and analytic approaches to solving problems.

Mathematics for Computer Science

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.

Mathematics for Computer Science

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.

Modeling and Analysis of Information Technology Systems

The book shows how to create simple models for practical problems, with the general theory of stochastic processes is omitted. It is assumed the reader has been exposed to a first course in probability theory.

Modeling and Analysis of Information Technology Systems

The book shows how to create simple models for practical problems, with the general theory of stochastic processes is omitted. It is assumed the reader has been exposed to a first course in probability theory.

Probability And Mathematical Statistics

An introduction to probability and mathematical statistics intended for students already having some elementary mathematical background.

Probability And Mathematical Statistics

An introduction to probability and mathematical statistics intended for students already having some elementary mathematical background.

Probability Theory: The Logic of Science

Covers probability theory and all of its conventional mathematics in a wider context than that of the standard textbooks.

Probability Theory: The Logic of Science

Covers probability theory and all of its conventional mathematics in a wider context than that of the standard textbooks.

The Probability and Statistics Cookbook

This cookbook is a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations.

The Probability and Statistics Cookbook

This cookbook is a succinct representation of various topics in probability theory and statistics. It provides a comprehensive mathematical reference reduced to its essence, rather than aiming for elaborate explanations.

Book Categories

Computer Science
15
Introduction to Computer Science
33
Introduction to Computer Programming
52
Algorithms and Data Structures
24
Artificial Intelligence
24
Computer Vision
28
Machine Learning
6
Neural Networks
22
Game Development and Multimedia
25
Data Communication and Networks
5
Coding Theory
15
Computer Security
8
Information Security
35
Cryptography
3
Information Theory
17
Computer Organization and Architecture
22
Operating Systems
1
Image Processing
10
Parallel Computing
4
Concurrent Programming
19
Relational Database
3
Document-oriented Database
13
Data Mining
16
Big Data
17
Data Science
23
Digital Libraries
22
Compiler Design and Construction
25
Functional Programming
11
Logic Programming
26
Object Oriented Programming
21
Formal Methods
70
Software Engineering
3
Agile Software Development
7
Information Systems
5
Geographic Information System (GIS)

Mathematics
68
Mathematics
13
Algebra
28
Linear Algebra
3
Number Theory
8
Numerical Methods
2
Precalculus
10
Calculus
5
Category Theory
10
Proofs
19
Discrete Mathematics
24
Theory of Computation
14
Graph Theory
1
Complex Analysis
13
Probability
43
Statistics
7
Game Theory
5
Queueing Theory
13
Operations Research
16
Computer Aided Mathematics

Supporting Fields
19
Web Design and Development
1
Mobile App Design and Development
29
System Administration
2
Cloud Computing
9
Electric Circuits
6
Embedded System
26
Signal Processing
4
Network Science
3
Project Management

Operating System
Programming/Scripting
6
Ada
13
Assembly
34
C / C++
8
Common Lisp
2
Forth
36
Java
12
JavaScript
1
Lua
15
Microsoft .NET
1
Rexx
12
Perl
6
PHP
66
Python
12
R
1
Rebol
13
Ruby
2
Scheme
3
Tcl/Tk

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