2004
DOI: 10.1016/s0260-8774(03)00082-7
|View full text |Cite
|
Sign up to set email alerts
|

Optimisation of high temperature puffing of potato cubes using response surface methodology

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

4
54
0
1

Year Published

2007
2007
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 94 publications
(59 citation statements)
references
References 4 publications
4
54
0
1
Order By: Relevance
“…The results showed that the models for all the response variables were adequate because they had satisfactory r 2 of more than 90%, and there was also an insignificant lack of fit for all the response variables ( Table 2). The lack of fit test is a measure of the failure of a model to represent data in the experimental domain at which points were not included in the regression (Varnalis et al 2004).…”
Section: Resultsmentioning
confidence: 99%
“…The results showed that the models for all the response variables were adequate because they had satisfactory r 2 of more than 90%, and there was also an insignificant lack of fit for all the response variables ( Table 2). The lack of fit test is a measure of the failure of a model to represent data in the experimental domain at which points were not included in the regression (Varnalis et al 2004).…”
Section: Resultsmentioning
confidence: 99%
“…The analyses of variance were performed to determine the lack of fit and the significance of the linear, quadratic and interaction effects of the independent variables on the dependent variables (Table 3). The lack of fit test is a measure of the failure of a model to represent data in the experimental domain at which points were not included in the regression (Varnalis et al 2004). Coefficient of determination or R 2 is the proportion of variation in the response attributed to the model rather than to random error and was suggested that for good fit model, R 2 should be at least 80 %.…”
Section: Model Fitting From Rsmmentioning
confidence: 99%
“…The independent and dependent variables were fitted to the second order model equation and evaluated for the goodness of fit. The lack of fit is a measure of the failure of a model to represent data in the experimental domain at which parts were not included in the regression [19].…”
Section: Response Surface Methodologymentioning
confidence: 99%