Intermediate Probability - A Computational Approach / Nejlevnější knihy
Intermediate Probability - A Computational Approach

Kód: 04878735

Intermediate Probability - A Computational Approach

Autor Marc Paolella

Intermediate Probability is the natural extension of the author's Fundamental Probability. It details several highly important topics, from standard ones such as order statistics, multivariate normal, and convergence concepts, to ... celý popis

3472


Skladem u dodavatele
Odesíláme za 10-18 dnů
Přidat mezi přání

Mohlo by se vám také líbit

Dárkový poukaz: Radost zaručena

Objednat dárkový poukazVíce informací

Více informací o knize Intermediate Probability - A Computational Approach

Nákupem získáte 347 bodů

Anotace knihy

Intermediate Probability is the natural extension of the author's Fundamental Probability. It details several highly important topics, from standard ones such as order statistics, multivariate normal, and convergence concepts, to more advanced ones which are usually not addressed at this mathematical level, or have never previously appeared in textbook form. The author adopts a computational approach throughout, allowing the reader to directly implement the methods, thus greatly enhancing the learning experience and clearly illustrating the applicability, strengths, and weaknesses of the theory. The book:* Places great emphasis on the numeric computation of convolutions of random variables, via numeric integration, inversion theorems, fast Fourier transforms, saddlepoint approximations, and simulation.* Provides introductory material to required mathematical topics such as complex numbers, Laplace and Fourier transforms, matrix algebra, confluent hypergeometric functions, digamma functions, and Bessel functions.* Presents full derivation and numerous computational methods of the stable Paretian and the singly and doubly non-central distributions.* A whole chapter is dedicated to mean-variance mixtures, NIG, GIG, generalized hyperbolic and numerous related distributions.* A whole chapter is dedicated to nesting, generalizing, and asymmetric extensions of popular distributions, as have become popular in empirical finance and other applications.* Provides all essential programming code in Matlab and R. The user-friendly style of writing and attention to detail means that self-study is easily possible, making the book ideal for senior undergraduate and graduate students of mathematics, statistics, econometrics, finance, insurance, and computer science, as well as researchers and professional statisticians working in these fields.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

3472

Oblíbené z jiného soudku



Osobní odběr Praha, Brno a 46961 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: