Robust designs for first-order multiple design multivariate models

Manel Cooray Wijesinha; Andre I. Khuri

doi:10.1080/03610929108830682

Robust designs for first-order multiple design multivariate models

Manel Cooray Wijesinha
, Andre I. Khuri

Penn State York

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

5 Scopus citations

Abstract

This paper deals with the methodology of obtaining designs that are robust to nonnormality of the error distribution for tests associated with first-order multiple design multivariate linear models. A sequential procedure is given for the generation of the proposed designs.

Original language	English (US)
Pages (from-to)	2987-2999
Number of pages	13
Journal	Communications in Statistics - Theory and Methods
Volume	20
Issue number	9
DOIs	https://doi.org/10.1080/03610929108830682
State	Published - Jan 1 1991

All Science Journal Classification (ASJC) codes

Statistics and Probability

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10.1080/03610929108830682

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abstract = "This paper deals with the methodology of obtaining designs that are robust to nonnormality of the error distribution for tests associated with first-order multiple design multivariate linear models. A sequential procedure is given for the generation of the proposed designs.",

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JO - Communications in Statistics - Theory and Methods

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Robust designs for first-order multiple design multivariate models

Abstract

All Science Journal Classification (ASJC) codes

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