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 …
The robustness of response surface designs with errors in factor levels
J Fang, Z He, S He, G Wang - Communications in Statistics-Theory …, 2020 - Taylor & Francis
Since errors in factor levels affect the traditional statistical properties of response surface
designs, an important question to consider is robustness of design to errors. However, when …
designs, an important question to consider is robustness of design to errors. However, when …
Categorical responses in mixture experiments
MV Mancenido - 2016 - keep.lib.asu.edu
Mixture experiments are useful when the interest is in determining how changes in the
proportion of an experimental component affects the response. This research focuses on the …
proportion of an experimental component affects the response. This research focuses on the …
[PDF][PDF] A penalty function in binary logistic regression
P Phrueksawatnon - 2018 - libdcms.nida.ac.th
A PENALTY FUNCTION IN BINARY LOGISTIC REGRESSION Piyada Phrueksawatnon A
Dissertation Submitted in Partial Fulfillment of the Re Page 1 A PENALTY FUNCTION IN …
Dissertation Submitted in Partial Fulfillment of the Re Page 1 A PENALTY FUNCTION IN …