Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications - Moshayedi, Nima (University of California, Berkeley, USA) - Livros - World Scientific Publishing Co Pte Ltd - 9789811246746 - 21 de abril de 2022

Caso a capa e o título não sejam correspondentes, considere o título como correto

Conte aos seus amigos sobre este item:

Moshayedi, Nima (University of California, Berkeley, USA)
Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications Moshayedi, Nima (University of California, Berkeley, USA)

Name: Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications
Price: 486.9 BRL
Availability: OutOfStock
Author: Moshayedi, Nima (University of California, Berkeley, USA)

Preço

R$ 486,90

excluindo impostos

Item sob encomenda (no estoque do fornecedor)

Espera-se estar pronto para envio 28 de set - 1 de out

Receba avisos sobre novos lançamentos de Moshayedi, Nima (University of California, Berkeley, USA)

O que dizem nossos clientes:

Top-vurdering på Google Reviews, baseret på tusinder af anmeldelser.

Política de devolução de 14 dias, em conformidade com a lei europeia de proteção do consumidor

Melhor classificação na Trustpilot

Adicione à sua lista de desejos do iMusic

Ainda não avaliado

Também disponível como:

Paperback Book (2022) R$ 314,90

Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications

Moshayedi, Nima (University of California, Berkeley, USA)

This book provides a first introduction to the methods of probability theory by using the modern and rigorous techniques of measure theory and functional analysis. It is geared for undergraduate students, mainly in mathematics and physics majors, but also for students from other subject areas such as economics, finance and engineering. It is an invaluable source, either for a parallel use to a related lecture or for its own purpose of learning it. The first part of the book gives a basic introduction to probability theory. It explains the notions of random events and random variables, probability measures, expectation values, distributions, characteristic functions, independence of random variables, as well as different types of convergence and limit theorems. The first part contains two chapters. The first chapter presents combinatorial aspects of probability theory, and the second chapter delves into the actual introduction to probability theory, which contains the modern probability language. The second part is devoted to some more sophisticated methods such as conditional expectations, martingales and Markov chains. These notions will be fairly accessible after reading the first part.

175 pages

Mídia	Livros Hardcover Book (Livro com lombada e capa dura)
Lançado	21 de abril de 2022
ISBN13	9789811246746
Editoras	World Scientific Publishing Co Pte Ltd
Páginas	292
Dimensões	235 × 160 × 24 mm · 572 g
Idioma	Inglês

Mais da mesma editora

Ver tudo de Moshayedi, Nima (University of California, Berkeley, USA)

Moshayedi, Nima (University of California, Berkeley, USA) Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications Moshayedi, Nima (University of California, Berkeley, USA)

Também disponível como:

Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications

Moshayedi, Nima (University of California, Berkeley, USA)

Mais da mesma editora

Moshayedi, Nima (University of California, Berkeley, USA)
Introduction to Probability Theory: a First Course on the Measure-theoretic Approach - World Scientific Series on Probability Theory and Its Applications Moshayedi, Nima (University of California, Berkeley, USA)