Skip navigation

Bookboon.com Descarga eBooks y libros de texto gratis

Choose a category

Introductory Probability Theory

A first Course in Probability Theory – Volume I

Introductory Probability Theory
Aún no ha sido puntuado
ISBN: 978-87-403-1969-9
2 edición
Páginas : 299
  • Price: 129,00 kr
  • Price: €13,99
  • Price: £13,99
  • Price: ₹250
  • Price: $13,99
  • Price: 129,00 kr
  • Price: 129,00 kr

Descarga GRATIS tus ebooks en 4 sencillos pasos

Lo sentimos, pero para poder descargar nuestros libros o ver nuestros vídeos, necesitas un navegador que permita JavaScript.
¿Podemos sugerirle eBooks gratuitos y noticias relevantes sobre Bookboon?
Después de introducir tu dirección de correo electrónico, recibirás un correo de confirmación. Confirma este correo para recibir el boletín de noticias mensual con respecto a libros de texto gratuitos. Los datos de contacto que nos proporciones no serán proporcionados a terceros.
eLib
Unlock your organization's learning potential
See Demo

Corporate eLibrary

Discover our employee learning solutions

This is a Premium eBook

Bookboon Premium - Gain access to over 800 eBooks - without ads

You can get free access for a month to this - and 800 other books with the Premium Subscription. You can also buy the book below

  • Start a 30-day free trial. After trial: 39,99 kr p/m
  • Start a 30-day free trial. After trial: €5,99 p/m
  • Start a 30-day free trial. After trial: £4,99 p/m
  • Start a 30-day free trial. After trial: ₹299 p/m
  • Start a 30-day free trial. After trial: $3,99 p/m
  • Start a 30-day free trial. After trial: 39,99 kr p/m
  • Start a 30-day free trial. After trial: 39,99 kr p/m
eLib
Unlock your organization's learning potential
Click here!

Corporate eLibrary

Discover our employee learning solutions

Acerca del libro

  1. Opiniones
  2. Contenido
  3. Descripción

Opiniones

JAE DONG KIM ★★★★★

Very Good!

Contenido

  1. Set Theory 
    1. Introduction 
    2. Sets 
    3. Set Operations 
    4. Classes Of Sets 
    5. Laws Of Algebra Of Sets 
    6. Venn Diagrams 
  2. Counting principles 
    1. Introduction 
    2. Sampling with or without replacement 
    3. Addition and multiplication principles of counting 
    4. Permutations: ordered selection 
    5. Combinations: unordered selection 
    6. Binomial theorem 
    7. Multinomial theorem 
  3. Basic concepts in probability 
    1. Introduction 
    2. Experiments 
    3. Sample spaces 
    4. Events 
    5. Concept of probability 
  4. Basic probability laws and theorems 
    1. Introduction 
    2. Addition law of probability 
    3. Law of complementation 
    4. Inequality of probabilities 
    5. Conditional probability 
    6. Multiplication law of probability 
    7. Total probability law 
    8. Bayes’ theorem 
    9. Statistical independence 
  5. Random variables 
    1. Introduction 
    2. Concept of random variable 
    3. Probability distribution of random variable 
    4. Cumulative distribution function 
    5. Conditional probability of random variable 
  6. Numerical characteristics of random variables 
    1. Introduction 
    2. Measures of location 
    3. Mode 
    4. Median 
    5. Quantiles 
    6. Mathematical expectation 
    7. Variance 
  7. Moments and moment-generating functions 
    1. Introduction 
    2. Types of moments 
    3. Uses of moments 
    4. Moment-generating functions 

Descripción

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.

This website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with EU regulation.