Locally optimal designs for mixed binary and continuous responses

Soohyun Kim; Ming-Hung Kao

doi:10.1016/j.spl.2019.01.003

Locally optimal designs for mixed binary and continuous responses

Soohyun Kim, Ming-Hung Kao

Mathematical and Statistical Sciences, School of (SoMSS)

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

2 Scopus citations

Abstract

We consider locally optimal designs for experiments involving bivariate responses of mixed data types. To efficiently obtain optimal designs, we adapt a recently proposed complete class approach and derive sharp bounds for the number of design points of candidate designs.

Original language	English (US)
Pages (from-to)	112-117
Number of pages	6
Journal	Statistics and Probability Letters
Volume	148
DOIs	https://doi.org/10.1016/j.spl.2019.01.003
State	Published - May 2019

Keywords

A-optimality
Complete class
D-optimality
Loewner ordering
Mixed response model

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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title = "Locally optimal designs for mixed binary and continuous responses",

abstract = "We consider locally optimal designs for experiments involving bivariate responses of mixed data types. To efficiently obtain optimal designs, we adapt a recently proposed complete class approach and derive sharp bounds for the number of design points of candidate designs.",

keywords = "A-optimality, Complete class, D-optimality, Loewner ordering, Mixed response model",

author = "Soohyun Kim and Ming-Hung Kao",

note = "Funding Information: This research was partly supported by the U.S. National Science Foundation grant DMS-13-52213 . Funding Information: This research was partly supported by the U.S. National Science Foundation grant DMS-13-52213. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",

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AU - Kao, Ming-Hung

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N2 - We consider locally optimal designs for experiments involving bivariate responses of mixed data types. To efficiently obtain optimal designs, we adapt a recently proposed complete class approach and derive sharp bounds for the number of design points of candidate designs.

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KW - D-optimality

KW - Loewner ordering

KW - Mixed response model

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JO - Statistics and Probability Letters

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ER -

Locally optimal designs for mixed binary and continuous responses

Abstract

Keywords

ASJC Scopus subject areas

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