Series Estimation of a Probability Density Function
作者:
DonaldF. Specht,
期刊:
Technometrics
(Taylor Available online 1971)
卷期:
Volume 13,
issue 2
页码: 409-424
ISSN:0040-1706
年代: 1971
DOI:10.1080/00401706.1971.10488795
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A class of nonparametric estimators off(x)based on a set ofnobservations has been proved by Parzen [l] to be consistent and asymptotically normal subject to certain conditions. Although quite useful for a wide variety of practical problems, these estimators have two serious disadvantages whennis large:1.Allnobservations must be stored in rapid-access storage.2.Evaluation off(x)for a particular value ofxrequires a long computation involving each of the observations.
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