Selection Of Components In Nonparametric Additive Models With Missing Data

Posted on:2011-08-24

Degree:Master

Type:Thesis

Country:China

Candidate:D D Qi

Full Text:PDF

GTID:2120360305989907

Subject:Probability theory and mathematical statistics

Abstract/Summary:

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We have known that the nonparametric additive model is an important model in statistics this paper mainly deal with the nonparametric additive models with missing data,and compare two methods,estimating the missing data or deleting the missing data to fit the real model.

Keywords/Search Tags:

nonparametric additive models, model selection, missing data, Lars

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