Gaussian processes (GPs) are commonly used as surrogate statistical models for predicting output of computer experiments (Santner et al., 2003). Generally, GPs are both interpolators and smoothers of data and are effective predictors when the response surface of interest is a smooth function of the parameter space. The package mlegp finds maximum likelihood estimates of Gaussian processes for u...

In this paper the guidelines for applying heteroscedastic linear models for analysing industrial process data is presented. Heteroscedastic linear models are considered as a good model family for the joint modelling of dispersion and mean. The model selection of heteroscedastic linear model is discussed considering the special features of industrial data. A procedure for dispersion model select...

The present work considers the turbulent air flow inside an annular high speed rotor-stator cavity opened to the atmosphere at the periphery. The interdisk-spacing is sufficiently large so that the boundary layers developed on each disk are separated and the flow belongs to the regime IV of Daily and Nece (1960). In such a system, the solid body rotation of the core predicted by Batchelor in ca...

to investigate the optimum conditions for extracting gelatin from whitecheek shark (carcharhinus dussumieri (skin, response surface methodology (rsm) has been adopted. in this research, the effect of naoh concentration (0.01-1 n), hcl concentration (0.01-1 n), and extraction time (3-8 h) on dependent variables, yield and melting point of the skin gelatin have been studied using central composit...

Biochemical leaf photosynthesis models are evaluated by laboratory results andhave been widely used at field scale for quantification of plant production,biochemical cycles and land surface processes. It is a key issue to search forappropriate model structure and parameterization, which determine modeluncertainty. A leaf photosynthesis model that couples the Farquhar-vonCaemmerer-Berry (FvCB) f...

The objective of the research is to study and compare response surface designs: Central composite designs (CCD), BoxBehnken designs (BBD), Small composite designs (SCD), Hybrid designs, and Uniform shell designs (USD) over sets of reduced models when the design is in a spherical region for 3 and 4 design variables. The two optimality criteria ( D and G ) are considered which larger values imply...