Non-Regular Statistical Estimation (Paperback, Softcover reprint of the original 1st ed. 1995)

In order to obtain many of the classical results in the theory of statistical estimation, it is usual to impose regularity conditions on the distributions under consideration. In small sample and large sample theories of estimation there are well established sets of regularity conditions, and it is worth while to examine what may follow if any one of these regularity conditions fail to hold. "Non-regular estimation" literally means the theory of statistical estimation when some or other of the regularity conditions fail to hold. In this monograph, the authors present a systematic study of the meaning and implications of regularity conditions, and show how the relaxation of such conditions can often lead to surprising conclusions. Their emphasis is on considering small sample results and to show how pathological examples may be considered in this broader framework.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Lecture Notes in Statistics, 107
Release date:	August 1995
First published:	1995
Authors:	Masafumi Akahira • Kei Takeuchi
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	188
Edition:	Softcover reprint of the original 1st ed. 1995
ISBN-13:	978-0-387-94578-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Economics > Econometrics > Economic statistics Promotions
LSN:	0-387-94578-4
Barcode:	9780387945781

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!