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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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