Robustness of response surface designs to missing data

Alrweili, Hleil; Georgiou, S.; Stylianou, Stella

doi:10.1002/qre.2524

Cited by 12 publications

(15 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A central composite design was used to develop a second order polynomial equation to best represent the response model. In the present investigation, CCD was preferred over BBD for optimization due to its robust nature and inclusion of factors at extreme settings, thus generating best fit model (Aanchal et al, 2016;Alrweili et al, 2019). Multiple shoot initiation was observed when the explants were inoculated in certain media composition as per the experimental design.…”

Section: Response Surface Methodology For Optimizationmentioning

confidence: 96%

Optimization of Shoot Initiation Using Response Surface Methodology and Callus Media Standardization for Micropropagation of Centella Asiatica

Gururajan¹,

Hegde²,

Udupa³

et al. 2021

J microb biotech food sci

View full text Add to dashboard Cite

Centella asiatica, a medicinal herb consumed as a food supplement and used in traditional and folklore medicine is being overexploited for its therapeutic properties. Lack of adequate cultivation and replacement practices could engender the depletion of the wild variety. Application of plant tissue culture has helped in the regeneration and preservation of several plants in-vitro. The present study reports media standardization for micropropagation and callus induction for the conservation of Centella asiatica using field-grown plants. In media standardization for callus induction, appreciable results were obtained where full strength MS (Murashige and Skoog) media was supplemented with 2 mg.L-1 IAA (Indole acetic acid) and a combination of 0.5 mg.L-1 Kn (Kinetin) with 1 mg.L-1 IAA while MS media supplemented with a combination of 0.5 mg.L-1 Kn and 1.5 mg.L-1 IAA was used for callus proliferation. Combination of BAP (6- Benzyl amino purine) and IAA from preliminary experimentation on micropropagation showed high shooting frequency and were further optimized with parameters such as sucrose and incubation period using Response surface methodology (RSM) to study their individual and interactive effects. A maximum shoot height of 3.8 cm was obtained from the optimized values after 13 days with both BAP and IAA at 0.5 mg.L-1 and sucrose at 6% with the R2 value at 0.73.

show abstract

Section: Response Surface Methodology For Optimizationmentioning

confidence: 96%

Optimization of Shoot Initiation Using Response Surface Methodology and Callus Media Standardization for Micropropagation of Centella Asiatica

Gururajan¹,

Hegde²,

Udupa³

et al. 2021

J microb biotech food sci

View full text Add to dashboard Cite

show abstract

“…Furthermore, Ahmed (2014) studied the 'missing values estimation comparison in split-plot design' which shows that one missing value obtains the same estimates, while two or three missing values show that the Coons method is the best. In their work Alrweili, et. al (2019) suggested that Akhtar and Prescot (1986) applied the Minimax loss criterion to evaluate and generate CCDs, which, when applied to a classical CCD with four factors, generated 26 runs.…”

Section: Introductionmentioning

confidence: 97%

“…The equation that is generated as a result of the removal of some parameters in a standard model is called a non-standard model (Myers et. al 2009;Iwundu and Jaja 2017;Alrweili et. al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Analysis of missing observations posed a lot of problems to researchers before now, but some simpler ways of overcoming the problems associated with missing observations may have been developed. These include, but are not limited to replacement of the missing values and/or the application of robust statistical designs against missing observations (Akhtar 2001;Iwundu 2017;Alrweili, et. al.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robustness of Central Composite Design and Modified Central Composite Design to a Missing Observation for Non-Standard Models

Jaja¹,

Etuk²,

Iwundu³

et al. 2021

African Journal of Mathematics and Statistics Studies

View full text Add to dashboard Cite

Missing observations in an experimental design may lead to ambiguity in decision making thereby bringing an experiment to disrepute. Robustness, therefore, enables a process, not to break down in the presence of missing observations. This work constructed a modified central composite design (MCCD) from a four-variable central composite design (CCD) augmented with four center points using the leverage of a hat-matrix. The robustness of the CCD and MCCD were assessed when a design point is missing at the factorial, axial, and center points of the experiment, for a non-standard model, using the loss criterion, D-optimality, D-efficiency, and relative D-efficiency. When the designs are complete the MCCD shows higher D-efficiency and D-optimality for the non-standard model when compared to the CCD. In the absence of an observation from any of the designs, the CCD is found to be a more robust and efficient design compared to the MCCD as it has overall lower loss values at all the factors levels.

show abstract

“…On a related theme, Alrweili et al propose a minimax loss response surface design which is robust to observation loss when compared to similar designs in the literature. Han develops an optimal design for accelerated life testing of manufactured products. Various optimality criteria for the design are considered, and the existence of the optimal designs is investigated for exponential lifetimes with a single stress variable …”

mentioning

confidence: 99%

The ENBIS‐18 quality and reliability engineering international special issue

Stillman

Triantafyllopoulos

2019

Quality & Reliability Eng

View full text Add to dashboard Cite

ENBIS was founded in 2000 to advance and facilitate the development and application of statistical methods to the benefit of European business and industry. It has been successful in promoting good practice in statistics, bridging the gap between methodology and application and fostering networking between practising statisticians in academic and commercial settings. This special issue contains 15 papers, which further demonstrate and illustrate these aims and activities.The special issue starts with three papers on design of experiments. Godolphin discusses the important issue of missing data and design breakdown and develops conditions for connectivity and robustness of incomplete block designs. 1 On a related theme, Alrweili et al propose a minimax loss response surface design which is robust to observation loss when compared to similar designs in the literature. 2 Han develops an optimal design for accelerated life testing of manufactured products. Various optimality criteria for the design are considered, and the existence of the optimal designs is investigated for exponential lifetimes with a single stress variable. 3 The next group of papers makes contributions to control charts in statistical process control (SPC). Abbas et al investigate dispersion control charts under median rank sampling schemes aimed at improving the design. The proposed charts are evaluated in terms of relative efficiency and power for normal and non-normal processes. 4 Perdikis and Psarakis contribute a survey paper on multivariate adaptive control charts. 5 The paper provides an extensive discussion of recent advances in a rapidly growing area of SPC. Wilson et al propose a method for monitoring changes in dynamic networks described by a degree corrected stochastic block model. 6 Their approach involves first estimating the model parameters and then monitoring the estimates using SPC techniques. The surveillance strategy is applied to a dynamic US Senate co-voting network. Dobi and Zempleni develop a monitoring procedure, based on Markov chains, to target healthcare data. 7 The proposed method is capable of monitoring shifts in the mean patient health indicator, as well as allowing for treatment effects and time between patient visits. The procedure also takes into account protocol costs, which can be a critical factor in adoption of a monitoring scheme.We then present three application-based papers within the remit of data science. Smith et al discuss issues in the provision of data analytic services through examples in the automotive aftermarket sector. 8 The data analysis is followed by a discussion of the implications for analyst and client and provides useful insight into the practicalities of working in this emerging field. An important subject within data science is semi-supervised learning and this is the topic of the next paper. Frumosu and Kulahci develop an outlier detection procedure for unlabelled data using scarce labelled data. 9 The proposed methodology uses a combination of Hotelling's T-square and Q statistics and...

show abstract

Robustness of response surface designs to missing data

Cited by 12 publications

References 24 publications

Optimization of Shoot Initiation Using Response Surface Methodology and Callus Media Standardization for Micropropagation of Centella Asiatica

Optimization of Shoot Initiation Using Response Surface Methodology and Callus Media Standardization for Micropropagation of Centella Asiatica

Robustness of Central Composite Design and Modified Central Composite Design to a Missing Observation for Non-Standard Models

The ENBIS‐18 quality and reliability engineering international special issue

Contact Info

Product

Resources

About