Name: Statistical Estimation for Truncated Exponential Families (Springerbriefs in Statistics) (en Inglés)
SKU: 49870159
Price: 54.12 USD
Availability: InStock
Author: Masafumi Akahira

portada Statistical Estimation for Truncated Exponential Families (Springerbriefs in Statistics) (en Inglés)

Statistical Estimation for Truncated Exponential Families (Springerbriefs in Statistics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Masafumi Akahira

Año

2017

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Blanda

ISBN13

9789811052958

N° edición

Categorías

Econometría

Statistical Estimation for Truncated Exponential Families (Springerbriefs in Statistics) (en Inglés)

Masafumi Akahira (Autor) · Springer · Tapa Blanda

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Reseña del libro "Statistical Estimation for Truncated Exponential Families (Springerbriefs in Statistics) (en Inglés)"

This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and implications of both regularity and irregularity through a certain family of distributions. In particular, it focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This focus includes the (truncated) Pareto distribution, which is widely used in various fields such as finance, physics, hydrology, geology, astronomy, and other disciplines. The family is essential in that it links both regular and nonregular distributions, as it becomes a regular exponential family if the truncation parameter is known. The emphasis is on presenting new results on the maximum likelihood estimation of a natural parameter or truncation parameter if one of them is a nuisance parameter. In order to obtain more information on the truncation, the Bayesian approach is also considered. Further, the application to some useful truncated distributions is discussed. The illustrated clarification of the nonregular structure provides researchers and practitioners with a solid basis for further research and applications.