DESIGN, TESTING AND ESTIMATION IN COMPLEX EXPERIMENTATION. III. THE DESIGN AND ANALYSIS OF MULTIVARIATE SENSITIVITY EXPERIMENTS.
Abstract
This report contains research results obtained on the design and analysis of quantal-response experiments involving one or more stimuli. In particular a univariate nonparametric design for estimating the stimulus level corresponding to a given response-fraction, alpha, is developed. Special attention is given to extreme values of alpha. In addition, an algorithm for determining maximum-likelihood estimates of partially ordered probabilities and its application to various aspects of multivariate sensitivity experiments are described. A method for handling such experiments when the stimuli do not 'interact' is discussed and a nonparametric statistical design with point estimates is given. Finally, response models are developed for various conditional distribution requirements on the stimuli. For a large class of these response surfaces the equal-probability response contours are shown to be hyperbolas. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1965
- Accession Number
- AD0618517
Entities
People
- Madeline J. Alexander
Organizations
- Rocketdyne