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Local Variance Estimation for Uncensored and Censored Observations

Local Variance Estimation for Uncensored and Censored Observations
Catalogue Information
Field name Details
Dewey Class 510
Title Local Variance Estimation for Uncensored and Censored Observations (EB) / by Paola Gloria Ferrario.
Author Ferrario, Paola Gloria
Other name(s) SpringerLink (Online service)
Publication Wiesbaden : Springer Fachmedien
, 2013.
Physical Details XVII, 130 p. 3 illus. : online resource.
ISBN 9783658023140
Summary Note 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.  Contents Least Squares Estimation of the Local Variance via Plug-In Local Averaging Estimation of the Local Variance via Plug-In Partitioning Estimation of the Local Variance via Nearest Neighbors  Estimation of the Local Variance under Censored Observations Target Groups Researchers and graduate students in the fields of mathematics and statistics. Practitioners in the fields of medicine, reliability, finance, and insurance   Author Paola Gloria Ferrario received her doctorate degree (doctor rerum naturalium) from the University of Stuttgart, Germany, in 2012, after having studied Mathematical Engineering at the Polytechnic of Milano, Italy. She taught mathematics to students of economics at University of Hohenheim and now works as a researcher at the University of Lübeck, Germany.:
Contents note Least Squares Estimation of the Local Variance via Plug-In.- Local Averaging Estimation of the Local Variance via Plug-In -- Partitioning Estimation of the Local Variance via Nearest Neighbors -- Estimation of the Local Variance under Censored Observations.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-658-02314-0
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