Fixed Width Interval Estimation for the Multiple Response Callibration Problem

Martin S. Levy; V. A. Samaranayake

doi:10.1080/07474948808836158

Fixed Width Interval Estimation for the Multiple Response Callibration Problem

Martin S. Levy
, V. A. Samaranayake

Mathematics and Statistics

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

Abstract

A multiple response extension is proposed for the univariate calibration problem and a sequential solution is developed. The sequential sampling procedure is a generalization of existing univariate results of Perng and Tong (1974) and is based on the theory developed by Chow and Robbins (1965). It is shown that the proposed multiple response procedure is at least as good as and in many instances better than the univariate method

Original language	American English
Journal	Sequential Analysis: Design Methods and Applications
DOIs	https://doi.org/10.1080/07474948808836158
State	Published - Jan 1 1988

Keywords

fixed-width confidence interval
inverse linear regression
multiresponse calibration model
two-stage sequential procedure

Disciplines

Mathematics
Statistics and Probability

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10.1080/07474948808836158License: Unspecified

https://doi.org/10.1080/07474948808836158

Cite this

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title = "Fixed Width Interval Estimation for the Multiple Response Callibration Problem",

abstract = " A multiple response extension is proposed for the univariate calibration problem and a sequential solution is developed. The sequential sampling procedure is a generalization of existing univariate results of Perng and Tong (1974) and is based on the theory developed by Chow and Robbins (1965). It is shown that the proposed multiple response procedure is at least as good as and in many instances better than the univariate method",

keywords = "fixed-width confidence interval, inverse linear regression, multiresponse calibration model, two-stage sequential procedure",

author = "Levy, \{Martin S.\} and Samaranayake, \{V. A.\}",

year = "1988",

month = jan,

day = "1",

doi = "10.1080/07474948808836158",

language = "American English",

journal = "Sequential Analysis: Design Methods and Applications",

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AU - Samaranayake, V. A.

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Y1 - 1988/1/1

N2 - A multiple response extension is proposed for the univariate calibration problem and a sequential solution is developed. The sequential sampling procedure is a generalization of existing univariate results of Perng and Tong (1974) and is based on the theory developed by Chow and Robbins (1965). It is shown that the proposed multiple response procedure is at least as good as and in many instances better than the univariate method

AB - A multiple response extension is proposed for the univariate calibration problem and a sequential solution is developed. The sequential sampling procedure is a generalization of existing univariate results of Perng and Tong (1974) and is based on the theory developed by Chow and Robbins (1965). It is shown that the proposed multiple response procedure is at least as good as and in many instances better than the univariate method

KW - fixed-width confidence interval

KW - inverse linear regression

KW - multiresponse calibration model

KW - two-stage sequential procedure

UR - https://scholarsmine.mst.edu/math_stat_facwork/322

UR - https://doi.org/10.1080/07474948808836158

U2 - 10.1080/07474948808836158

DO - 10.1080/07474948808836158

M3 - Article

JO - Sequential Analysis: Design Methods and Applications

JF - Sequential Analysis: Design Methods and Applications

ER -

Fixed Width Interval Estimation for the Multiple Response Callibration Problem

Abstract

Keywords

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