Selection of Dose Levels for Estimating a Percentage Point of a Logistic Quantal Response Curve | Zendy

Tsutakawa Robert K. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Selection of Dose Levels for Estimating a Percentage Point of a Logistic Quantal Response Curve

Author(s) -

Tsutakawa Robert K.

Publication year - 1980

Publication title -

journal of the royal statistical society: series c (applied statistics)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.205

H-Index - 72

eISSN - 1467-9876

pISSN - 0035-9254

DOI - 10.2307/2346406

Subject(s) - selection (genetic algorithm) , statistics , mathematics , logistic regression , point (geometry) , econometrics , computer science , geometry , artificial intelligence

S ummary Experimental designs are presented for estimating an extreme percentage point of a logistic distribution when the observations are quantal responses and the location and scale parameters are unknown. The method is based on a prior distribution of the parameters and a predicted value of the posterior variance. The paper is an extension of an earlier article (Tsutakawa, 1972) for the case when the scale parameter is known.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research