A first Course in Probability Theory – Volume I

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299 pages

Language:

English

This book covers the basic theory of probability in a simple yet easily comprehensible manner. It deals with the basic mathematical tools for the understanding of probability.

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Description

Content

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- Set Theory
- Introduction
- Sets
- Set Operations
- Classes Of Sets
- Laws Of Algebra Of Sets
- Venn Diagrams

- Introduction
- Counting principles
- Introduction
- Sampling with or without replacement
- Addition and multiplication principles of counting
- Permutations: ordered selection
- Combinations: unordered selection
- Binomial theorem
- Multinomial theorem

- Introduction
- Basic concepts in probability
- Introduction
- Experiments
- Sample spaces
- Events
- Concept of probability

- Introduction
- Basic probability laws and theorems
- Introduction
- Addition law of probability
- Law of complementation
- Inequality of probabilities
- Conditional probability
- Multiplication law of probability
- Total probability law
- Bayes’ theorem
- Statistical independence

- Introduction
- Random variables
- Introduction
- Concept of random variable
- Probability distribution of random variable
- Cumulative distribution function
- Conditional probability of random variable

- Introduction
- Numerical characteristics of random variables
- Introduction
- Measures of location
- Mode
- Median
- Quantiles
- Mathematical expectation
- Variance

- Introduction
- Moments and moment-generating functions
- Introduction
- Types of moments
- Uses of moments
- Moment-generating functions

- Introduction

Introductory Probability Theory is volume one of the book entitles “A First Course in Probability Theory”. It is primarily intended for undergraduate students of Statistics and mathematics. It can, however, be used by students of Social Sciences and mathematics-related courses.

This volume covers the basic theory of probability in a simple yet easily comprehensible manner. It deals with the basic mathematical tools for the understanding of probability, such as, the set theory and the counting principles, the concept of probability, basic probability calculus, laws and theorems, the random variable, its probability distribution and numerical characterization. Determination of central and non-central location of distributions as well as their spread are extensively discussed. Moments and moment-generating functions have also been extensively covered.

The book has a large number of motivating solved examples. It has a large number of exercises at the end of each chapter for students’ practice.

Very Good!

August 7, 2018 at 2:38 AM