Optimum Mixture Designs for Binomial Two-Parameter Log-Logistic (LL2) Model with Mixture of Two Similar Compounds: Optimal design for log-logistic model (LL2)

Pattaraporn Tusto; Montip Tiensuwan; Manisha Pal

doi:10.17713/ajs.v49i1.850

Optimum Mixture Designs for Binomial Two-Parameter Log-Logistic (LL2) Model with Mixture of Two Similar Compounds

Optimal design for log-logistic model (LL2)

Authors

Pattaraporn Tusto
Montip Tiensuwan
Manisha Pal University of Calcutta

DOI:

https://doi.org/10.17713/ajs.v49i1.850

Abstract

The paper investigates the class of two-parameter log-logistic dose-response bioassay models in the binomial set-up. The dose is defined by the potency adjusted mixing proportions of two similar compounds. The aim is to investigate the D- and Ds- optimal mixture designs for estimating the full set of parameters or only the potency for a best guess of the parameter values. An indication has been given for finding the optimal design for the estimation of the mixture at which the probability of success attains a given value.

Author Biography

Manisha Pal, University of Calcutta

Professor, Department of Statistics, University of Calcutta

Published

2020-02-20

How to Cite

Tusto, P., Tiensuwan, M., & Pal, M. (2020). Optimum Mixture Designs for Binomial Two-Parameter Log-Logistic (LL2) Model with Mixture of Two Similar Compounds: Optimal design for log-logistic model (LL2). Austrian Journal of Statistics, 49(1), 24-32. https://doi.org/10.17713/ajs.v49i1.850

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Issue

Vol. 49 No. 1 (2020): Regular Issue

Section

Articles

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