LIBERO WebOPAC Catalogue Display (W561)

Catalogue Information
Field name	Details
Dewey Class	519.5
Title	Statistical Estimation for Truncated Exponential Families ([EBook]) / by Masafumi Akahira.
Author	Akahira, Masafumi
Other name(s)	SpringerLink (Online service)
Publication	Singapore : : Springer Singapore : : Imprint: Springer, , 2017.
Physical Details	XI, 122 p. 10 illus. : online resource.
Series	SpringerBriefs in Statistics 2191-544X
ISBN	9789811052965
Summary Note	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.:
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site	http://dx.doi.org/10.1007/978-981-10-5296-5
Links to Related Works	Subject References: Statistical Theory and Methods . Statistics . Statistics and Computing/Statistics Programs . Statistics for Business/Economics/Mathematical Finance/Insurance . Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences . Authors: Akahira, Masafumi . Corporate Authors: SpringerLink (Online service) . Series: SpringerBriefs in Statistics . Classification: 519.5 .

Catalogue Display

Statistical Estimation for Truncated Exponential Families

Reviews