Name: the normal distribution: characterizations with applications (en Inglés)
SKU: 18830422
Price: 104.67 USD
Availability: InStock
Author: Bryc, Wlodzimierz
ISBN: 9780387979908

portada the normal distribution: characterizations with applications (en Inglés)

the normal distribution: characterizations with applications (en Inglés)

Formato

Libro Físico

Autor

Wlodzimierz Bryc

Editorial

Springer

Año

1995

Idioma

Inglés

N° páginas

139

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.8 cm

Peso

0.22 kg.

ISBN

0387979905

ISBN13

9780387979908

Categorías

Probabilidad y estadística

the normal distribution: characterizations with applications (en Inglés)

Wlodzimierz Bryc (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 190.30$ 104.67

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 104.67

Llega entre el 02 Oct y el 16 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "the normal distribution: characterizations with applications (en Inglés)"

This book is a concise presentation of the normal distribution on the real line and its counterparts on more abstract spaces, which we shall call the Gaussian distributions. The material is selected towards presenting characteristic properties, or characterizations, of the normal distribution. There are many such properties and there are numerous rel- evant works in the literature. In this book special attention is given to characterizations generated by the so called Maxwell's Theorem of statistical mechanics, which is stated in the introduction as Theorem 0.0.1. These characterizations are of interest both intrin- sically, and as techniques that are worth being aware of. The book may also serve as a good introduction to diverse analytic methods of probability theory. We use characteristic functions, tail estimates, and occasionally dive into complex analysis. In the book we also show how the characteristic properties can be used to prove important results about the Gaussian processes and the abstract Gaussian vectors. For instance, in Section 5.4 we present Fernique's beautiful proofs of the zero-one law and of the integrability of abstract Gaussian vectors. The central limit theorem is obtained via characterizations in Section 7.3.