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Book synopsis

Paola Gloria Ferrario develops and investigates several methods of nonparametric local variance estimation. The first two methods use regression estimations (plug-in), achieving least squares estimates as well as local averaging estimates (partitioning or kernel type). Furthermore, the author uses a partitioning method for the estimation of the local variance based on first and second nearest neighbors (instead of regression estimation). Approaching specific problems of application fields, all the results are extended and generalised to the case where only censored observations are available. Further, simulations have been executed comparing the performance of two different estimators (R-Code available!). As a possible application of the given theory the author proposes a survival analysis of patients who are treated for a specific illness.

Book details

Book category Books in English Mathematics & science Mathematics

• Full title: Local Variance Estimation for Uncensored and Censored Observations
• Author: Paola Gloria Ferrario
• Language: English
• Binding: Paperback
• Number of pages: 130
• EAN: 9783658023133
• ISBN: 3658023139
• ID: 01688641
• Publisher: Springer Fachmedien Wiesbaden
• Weight: 2006 g
• Dimensions: 210 × 148 × 211 mm
• Date of publishing: 30. May 2013

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