All of non-parametric statistics

By: Larry WassermanMaterial type: TextTextSeries: Springer Texts in StatisticsPublication details: New York: Springer, [c2006]Description: 268 pISBN: 9780387251455LOC classification: QA278.8Online resources: Click here to access online
Contents:
Ch 1- Introduction Ch 2- Estimating the CDF and Statistical Functionals Ch 3- The Bootstrap and the Jackknife Ch 4- Smoothing: General Concepts Ch 5- Nonparametric Regression Ch 6- Density Estimation Ch 7- Normal Means and Minimax Theory Ch 8- Nonparametric Inference Using Orthogonal Functions Ch 9- Wavelets and Other Adaptive Methods Ch 10- Other Topics
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Item type Current library Collection Shelving location Call number Status Notes Date due Barcode Item holds
Book Book ICTS
Mathematic Rack No 5 QA278.8 (Browse shelf (Opens below)) Available Billno:95020; Billdate: 2016-07-28 00254
Total holds: 0

Ch 1- Introduction
Ch 2- Estimating the CDF and Statistical Functionals
Ch 3- The Bootstrap and the Jackknife
Ch 4- Smoothing: General Concepts
Ch 5- Nonparametric Regression
Ch 6- Density Estimation
Ch 7- Normal Means and Minimax Theory
Ch 8- Nonparametric Inference Using Orthogonal Functions
Ch 9- Wavelets and Other Adaptive Methods
Ch 10- Other Topics

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