Showing 1 - 10 of 10
Persistent link: https://www.econbiz.de/10010257281
Persistent link: https://www.econbiz.de/10011518702
In this paper, the main idea is to compute the robust regression model, derived by experimentation, in order to achieve a model with minimum effects of outliers and fixed variation among different experimental runs. Both outliers and nonequality of residual variation can affect the response...
Persistent link: https://www.econbiz.de/10011551792
Purpose: In a multistage process, the final quality in the last stage not only depends on the quality of the task performed in that stage but is also dependent on the quality of the products and services in intermediate stages as well as the design parameters in each stage. One of the most...
Persistent link: https://www.econbiz.de/10012276715
A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models are derived from the least squares method. Because the presence of outlier data is unavoidable in most real cases and because the least squares method is sensitive to these...
Persistent link: https://www.econbiz.de/10010317834
A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models are derived from the least squares method. Because the presence of outlier data is unavoidable in most real cases and because the least squares method is sensitive to these...
Persistent link: https://www.econbiz.de/10009759158
In this paper, the main idea is to compute the robust regression model, derived by experimentation, in order to achieve a model with minimum effects of outliers and fixed variation among different experimental runs. Both outliers and nonequality of residual variation can affect the response...
Persistent link: https://www.econbiz.de/10009782436
Persistent link: https://www.econbiz.de/10012253918
A robust approach should be considered when estimating regression coefficients in multi-response problems. Many models are derived from the least squares method. Because the presence of outlier data is unavoidable in most real cases and because the least squares method is sensitive to these...
Persistent link: https://www.econbiz.de/10010148391
In this paper, the main idea is to compute the robust regression model, derived by experimentation, in order to achieve a model with minimum effects of outliers and fixed variation among different experimental runs. Both outliers and nonequality of residual variation can affect the response...
Persistent link: https://www.econbiz.de/10010186019