Non-regular statistical estimation:
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Bibliographische Detailangaben
Beteilige Person: Akahira, Masafumi 1945- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: New York, NY Springer New York 1995
Schriftenreihe:Lecture Notes in Statistics 107
Schlagwörter:
Links:https://doi.org/10.1007/978-1-4612-2554-6
Beschreibung: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
Umfang:1 Online-Ressource (VIII, 188 p)
ISBN:9781461225546
9780387945781
ISSN:0930-0325
DOI:10.1007/978-1-4612-2554-6