Kernel Smoothing in Quantal Bioassay
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- Okumura Hidenori
- Department of Business Management and Information Science, Chugoku Junior College
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- Naito Kanta
- Department of Mathematics, Shimane University
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Abstract
A nonparametric method for the estimation of effective doses by kernel smoothing is proposed. The estimator of the dose and its asymptotic confidence interval are given. The estimation is based on the asymptotic properties of the proposed kernel estimator of dose response curves. The proposed method is compared with methods based on other kernel estimators and the parametric method via a simulation study, and is illustrated by applications to real data sets.
Journal
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- Ouyou toukeigaku
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Ouyou toukeigaku 32 (3), 127-144, 2003
Japanese Society of Applied Statistics
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Details 詳細情報について
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- CRID
- 1390282679418594432
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- NII Article ID
- 10012746943
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- NII Book ID
- AN00330942
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- ISSN
- 18838081
- 02850370
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- NDL BIB ID
- 6892519
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed