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A comment on “A theoretical basis for perturbation methods” by Krishnamurty Muralidhar and Rathindra Sarathy

✍ Scribed by Silvia Polettini; Julian Stander

Book ID: 111552563
Publisher: Springer US
Year: 2003
Tongue: English
Weight: 39 KB
Volume: 13
Category: Article
ISSN: 0960-3174
DOI: 10.1023/a:1025662722124

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A theoretical basis for perturbation met

A theoretical basis for perturbation methods

✍ Krishnamurty Muralidhar; Rathindra Sarathy 📂 Article 📅 2003 🏛 Springer US 🌐 English ⚖ 82 KB

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Comments on “A new theoretical and algorithmical basis for estimation, identification and control” by P. Kovanic

✍ R.H. Baran 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 362 KB

Ab~ract--Kovanic's gnostical distribution (density) function is illustrated as a nonparametric estimator in numerical trials with small samples. An asymptotic evaluation suggests its consistency in the case of observations distributed according to the logistic law.