Sentence examples for based on statistical design from inspiring English sources

A sequential optimization based on statistical design and one-factor-at-a-time (OFAT) method was employed to optimize the media constituents for the improvement of citric acid production from oil palm empty fruit bunches (EFB) through solid state bioconversion using Aspergillus niger IBO-103MNB.

In the present study, experimental investigations of fiber-laser-beam-welding of 5 mm thick Ti-6Al-4V areoy are carried out based on statistical design of experiments.

Experimental study based on statistical design has been made to investigate the expansion ratio of fluidized bed and a correlation has been developed for gas hold-up.

Also regression models were developed based on statistical design of experiments to quantify the effect of key operating variables on the performance of the separator.

A model based on statistical design of experiments was established to predict cutting forces and surface roughness within a range of cutting parameters.

Authors' research based on statistical design approach to identify primary mix design parameters and their effects on relevant properties of ESH lightweight SCC (ESH LWSCC) is a timely initiative.

Subsequently, to enhance the level of phytase production by the recombinant Bacillus, we applied an optimization strategy based on statistical designs.

In this work, sequential optimization strategy, based on statistical designs, was employed to enhance the production of citric acid in submerged culture.

Experimenters have utilized OAs since the 1940s; these are based on statistical designs that yield sufficient knowledge to determine a favorable parameter setting with a limited number of experimental runs [3].

Sequential optimization strategy based on statistical experimental design including one-factor-at-a-time (OFAT) method was used to enhance the production of lipase by Candida cylindracea ATCC 14830 using palm oil mill effluent as a basal medium in shake flask cultures.

Numerical results of characterization, based on statistical experiment design, as well as validation, based on the comparison with a genetic optimization algorithm, are presented.