Nonparametric Statistics

Part of the Springer Texts in Statistics book series (STS, volume 0)


This is the first of a series of five chapters on applications of large-sample techniques in specific areas of statistics. Nonparametric statistics are becoming increasingly popular in research and applications. Some of the earlier topics include statistics based on ranks and orders, as discussed in Lehmann’s classical text Nonparametrics (Lehmann 1975). The area is expanding quickly to include some modern topics such nonparametric curve estimation and functional data analysis.


Mean Square Error Asymptotic Distribution Independent Random Variable Underlying Distribution Kernel Estimator 


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of StatisticsUniversity of CaliforniaDavisUSA

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