Mixture experiment, Advanced Statistics

Mixture experiment is an experiment in which the two or more ingredients are blended together to form an end product. The measurements are taken on the several blends of the ingredients in an attempt to find the blend which produces the 'best' response. The measured response is supposed to be a function only of the components in mixture and not the function of the entire amount of the mixture.

Posted Date: 7/30/2012 3:56:37 AM | Location : United States

Related Discussions:- Mixture experiment, Assignment Help, Ask Question on Mixture experiment, Get Answer, Expert's Help, Mixture experiment Discussions

Write discussion on Mixture experiment
Your posts are moderated
Related Questions
A term usually used for unobserved individual heterogeneity. Such variation is of main concern in the medical statistics particularly in the analysis of the survival times where ha

Recurrence risk : Usually the probability that an individual experiences an event of interest given previous experience(s) of the event; for example, the probability of recurrence

The approach of controlling the error rate in an exploratory analysis where number of hypotheses are tested, but where the strict control which is provided by multiple comparison p

Convex hull trimming : A procedure which can be applied to the set of bivariate data to permit robust estimation of the Pearson's product moment correlation coef?cient. The points

Institutional surveys are the surveys in which the primary sampling units are the institutions, for instance, hospitals. Within each of the sampled institution, a sample of the pa

1. You are interested in investigating if being above or below the median income (medloinc) impacts ACT means (act94) for schools. Complete the necessary steps to examine univariat

Difference between tretment design and experimental design

Individual differences scaling is a form of multidimensional scaling applicable to the data comprising of a number of proximity matrices from the different sources that is differe

Link functions: The link function relates the linear predictor ηi to the expected value of the data. In classical linear models the mean and the linear predictor are identical

how to get the proportional allocation of the give stratified random sampling example