APPLICATION OF RESPONSE SURFACE METHODS TO DETERMINE CONDITION FOR POPULATION DOUBLING LEVEL PREDICTION

The result shows that the predicted values were in good agreement with the experimental values in validation experiments, which confirmed the accuracy of the model. [...]this paper can offer the researchers with clear information about RSM methods. [...]the RSM was used to determine the optimum inpu...

Full description

Saved in:
Bibliographic Details
Published inJournal of the sciences and arts Vol. 20; no. 1; pp. 129 - 134
Main Authors Rohim, Rabiatul Adawiyah Abdul, Yusop, Norhayati, Ahmad, Wan Muhamad Amir W
Format Journal Article
LanguageEnglish
Published Targoviste Valahia State University under the authority of The National University Research Council 01.01.2020
Subjects
Agreements
Cell cycle
Experiments
Methods
Model accuracy
Population
Predictions
Random variables
Researchers
Response surface methodology
Variance analysis
Online AccessGet full text

Cover

More Information
Summary:The result shows that the predicted values were in good agreement with the experimental values in validation experiments, which confirmed the accuracy of the model. [...]this paper can offer the researchers with clear information about RSM methods. [...]the RSM was used to determine the optimum input variables that can appropriately reflect subjects' population doubling level. The value of the adjusted determination coefficient (Adj R2 = 0.9989) therefore confirmed that the model was highly significant, which indicated a good agreement between the experimental and predicted values of population doubling level. [...]the model is adequate for prediction in the range of experimental variables. According to Rai et al., (2016), adj R2 and prediction R2 should be within 20% to be in good agreement [9].
Bibliography:SourceType-Scholarly Journals-1
ObjectType-General Information-1
content type line 14
ISSN:1844-9581
2068-3049