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2004 | OriginalPaper | Buchkapitel

Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator

verfasst von : D. M. Mount, N. S. Netanyahu, E. Zuck

Erschienen in: Theory and Applications of Recent Robust Methods

Verlag: Birkhäuser Basel

Enthalten in: Professional Book Archive

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This paper analyzes the number of samples required for an approximate Monte-Carlo least median of squares (LMS) line estimator. We provide a general computational framework, followed by detailed derivations for several point distributions and subsequent numerical results for the required number of samples.

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Titel: Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator
verfasst von: D. M. Mount
N. S. Netanyahu
E. Zuck
Verlag: Birkhäuser Basel
Buch: Theory and Applications of Recent Robust Methods
Print ISBN: 978-3-0348-9636-8

Electronic ISBN: 978-3-0348-7958-3

Copyright-Jahr: 2004
DOI: https://doi.org/10.1007/978-3-0348-7958-3_19

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