Sequential design for response curve estimation

Dongryeon Park; Julian J. Faraway

doi:10.1080/10485259808832740

Sequential design for response curve estimation

Dongryeon Park
, Julian J. Faraway

Hanshin University
University of Michigan

Research output: Contribution to journal › Article › peer-review

4 Citations (SciVal)

Abstract

The problem of sequential design for a nonparametric regression with binary data is considered. The aim of the statistical analysis is the estimation of a quantal response curve p. An adaptive method is developed that proposes the location of the next best design point on the basis of past observations. The behavior of this estimator is discussed and its small sample properties are investigated using a simulation study.

Original language	English
Pages (from-to)	155-164
Number of pages	10
Journal	Journal of Nonparametric Statistics
Volume	9
Issue number	2
DOIs	https://doi.org/10.1080/10485259808832740
Publication status	Published - 1 Jan 1998

Keywords

Dose-response curve
Nonparametric regression
Van der Corput sequence

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1080/10485259808832740

Cite this

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title = "Sequential design for response curve estimation",

abstract = "The problem of sequential design for a nonparametric regression with binary data is considered. The aim of the statistical analysis is the estimation of a quantal response curve p. An adaptive method is developed that proposes the location of the next best design point on the basis of past observations. The behavior of this estimator is discussed and its small sample properties are investigated using a simulation study.",

keywords = "Dose-response curve, Nonparametric regression, Van der Corput sequence",

author = "Dongryeon Park and Faraway, \{Julian J.\}",

year = "1998",

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doi = "10.1080/10485259808832740",

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journal = "Journal of Nonparametric Statistics",

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AU - Park, Dongryeon

AU - Faraway, Julian J.

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AB - The problem of sequential design for a nonparametric regression with binary data is considered. The aim of the statistical analysis is the estimation of a quantal response curve p. An adaptive method is developed that proposes the location of the next best design point on the basis of past observations. The behavior of this estimator is discussed and its small sample properties are investigated using a simulation study.

KW - Dose-response curve

KW - Nonparametric regression

KW - Van der Corput sequence

UR - https://www.scopus.com/pages/publications/0348093949

U2 - 10.1080/10485259808832740

DO - 10.1080/10485259808832740

M3 - Article

AN - SCOPUS:0348093949

SN - 1048-5252

VL - 9

SP - 155

EP - 164

JO - Journal of Nonparametric Statistics

JF - Journal of Nonparametric Statistics

IS - 2

ER -

Sequential design for response curve estimation

Abstract

Keywords

ASJC Scopus subject areas

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