Nonlinear logistic regression mixture experiment modeling for binary data using dimensionally reduced components
BA Stanfill, GF Piepel, JD Vienna… - Quality and Reliability …, 2020 - Wiley Online Library
This article motivates, presents, and illustrates an approach using nonlinear logistic
regression (NLR) for modeling binary response data from a mixture experiment when the …
regression (NLR) for modeling binary response data from a mixture experiment when the …
Adaptations in the simulated annealing algorithm to generate D-optimal mixing experiments both in the absence and presence of biases in the specification of the …
MA Cirillo, FS de Menezes - Communications in Statistics: Case …, 2024 - Taylor & Francis
The mixture designs are represented in terms of variables (xi, i= 1,·, q) called by
components. The components display an experimental region described in a simplex space …
components. The components display an experimental region described in a simplex space …
Machine learning based on extended generalized linear model applied in mixture experiments
When performing mixture experiments, we observe that maximum likelihood methods
present problems related to the collinearity, small sample size, and over/under dispersion. In …
present problems related to the collinearity, small sample size, and over/under dispersion. In …
A graphical evaluation of logistic ridge estimator in mixture experiments
KU Akay - Journal of Applied Statistics, 2014 - Taylor & Francis
In comparison to other experimental studies, multicollinearity appears frequently in mixture
experiments, a special study area of response surface methodology, due to the constraints …
experiments, a special study area of response surface methodology, due to the constraints …
[PDF][PDF] A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
A new approach to data analysis in mixture experiments is proposed using the simplex
regression, that is in the class of dispersion models family. e advantages of this approach …
regression, that is in the class of dispersion models family. e advantages of this approach …
A comparison of models for the quantal response on tumor incidence data in mixture experiments
JI Kim - Journal of the Korean Data and Information Science …, 2017 - koreascience.kr
Mixture experiments are commonly encountered in many fields including food, chemical and
pharmaceutical industries. In mixture experiments, measured response depends on the …
pharmaceutical industries. In mixture experiments, measured response depends on the …
계수적반응을갖는종양억제혼합물실험에서모형비교
김정일 - 한국데이터정보과학회지, 2017 - dbpia.co.kr
화학, 제약, 식품 등 여러 분야에서 활용
되는 혼합물 실험은 반응변수가 …
되는 혼합물 실험은 반응변수가 …