Locating the minimum of a function when the errors of observation have unknown density
type: Item
instance of: scholarly article
title: Locating the minimum of a function when the errors of observation have unknown density
zbMATH Open document ID: 0513.62083
DOI: 10.1007/BF02481053
author: Thomas E. Obremski
published in: Annals of the Institute of Statistical Mathematics
publication date: 1982-01-01T00:00:00Z
Mathematics Subject Classification ID: 62L20
zbMATH DE Number: 3810746
zbMATH Keywords: Kiefer-Wolfowitz procedure
zbMATH Keywords: asymptotic normality
zbMATH Keywords: efficient estimation
zbMATH Keywords: location of minima of functions
zbMATH Keywords: unknown observation error densities
MaRDI profile type: Publication
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full work available at URL: https://doi.org/10.1007/bf02481053
OpenAlex ID: W2085132078
description: scientific article; zbMATH DE number 3810746