[HTML][HTML] Trimethoprim removal from aqueous solutions via volcanic ash-soil adsorption: process modeling and optimization
Antibiotic contamination of water sources is a significant environmental and public health
concern. This contamination is classified among the most dangerous types of pollution …
concern. This contamination is classified among the most dangerous types of pollution …
Prediction capability of industrial split-plot response surface designs when one observation is missed
AH Shah, F Shehzad - Pakistan Journal of Commerce and Social …, 2023 - econstor.eu
Response surface designs under restricted randomization or Split-plot response surface
designs are often used in agriculture experiments and in industrial experiments due to …
designs are often used in agriculture experiments and in industrial experiments due to …
Effects of error in factor levels on orthogonal composite designs for second-order models
AF Didiugwu, AV Oladugba, OI Ude - Communications in Statistics …, 2025 - Taylor & Francis
In this work, four orthogonal composite designs (orthogonal-array composite designs
(OACDs), orthogonal-array composite minimax-loss (OACM) designs, orthogonal uniform …
(OACDs), orthogonal-array composite minimax-loss (OACM) designs, orthogonal uniform …
Fraction of design space plots for evaluating orthogonal composite designs
AV Oladugba, BM Yankam… - … in Statistics-Theory and …, 2024 - Taylor & Francis
In this paper, the stability of the prediction variance of orthogonal composite designs
(orthogonal array composite, orthogonal array composite minimax loss, orthogonal uniform …
(orthogonal array composite, orthogonal array composite minimax loss, orthogonal uniform …
Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm
Missing observation is a common problem in scientific and industrial experiments,
particularly in a small-scale experiment. They often present significant challenges when …
particularly in a small-scale experiment. They often present significant challenges when …
Orthogonal uniform composite designs for the third-order models
BM Yankam, AV Oladugba - Brazilian Journal of Probability and …, 2022 - projecteuclid.org
The third-order response surface designs are designs used to estimate the parameters of
the third-order polynomial model. In this paper, the orthogonal uniform composite designs …
the third-order polynomial model. In this paper, the orthogonal uniform composite designs …
Prediction variance capability of orthogonal uniform composite designs and orthogonal array composite designs in the spherical region
AV Oladugba, BM Yankam… - … in Statistics-Theory and …, 2024 - Taylor & Francis
In this paper, the prediction variance capabilities of two new second-order designs
orthogonal uniform composite designs and orthogonal array composite designs are …
orthogonal uniform composite designs and orthogonal array composite designs are …
Robustness of Augmented Third-order Response Surfaces Designs to Missing Observation
YM Brenda, AV Oladugba - Journal of the Iranian Statistical Society, 2024 - jirss.irstat.ir
Missing observations are practical problems that occur frequently even in a well-planned
experiment and can significantly impact the statistical accuracy of the experiment. This work …
experiment and can significantly impact the statistical accuracy of the experiment. This work …