Simple cokriging of components of a p-dimensional second-order stationary random process is considered. Necessary and sufficient conditions under which simple cokriging is equivalent to simple kriging are given. Essentially this condition requires that it should be possible to express the cross-covariance at any lag h using the cross-covariance at \h\ = 0 and the auto-covariance at lag h. The mosaic model, multicolocated kriging and the linear model of coregionalization are examined in this context. A data analytic method to examine whether simple kriging of components of a multivariate random process is equivalent to its cokriging is given
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
Large cokriging systems arise in many situations and are difficult to handle in practice. Simplifica...
The matrix form of the general co-kriging problem is presented. Matrix solutions are given for SRFs ...
Space-time processes constitute a particular class, requiring suitable tools in order to predict val...
International audienceKriging is a special type of optimal linear prediction applied to random funct...
Abstract: To analyze the input/output behavior of simulation models with multiple responses, we may ...
In this paper, the condition number of the stationary kriging matrix is studied for some well-known ...
The sensitivity of the Kriging-based response surface (surrogate model) to co-variogram law characte...
International audienceThis paper presents a matrix formulation of factorial kriging, and its relatio...
To analyze the input/output behavior of simulation models with multiple responses, we may apply eith...
Abstract. A deficiency of kriging is the implicit assumption of second-order stationarity. We presen...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
Large cokriging systems arise in many situations and are difficult to handle in practice. Simplifica...
The matrix form of the general co-kriging problem is presented. Matrix solutions are given for SRFs ...
Space-time processes constitute a particular class, requiring suitable tools in order to predict val...
International audienceKriging is a special type of optimal linear prediction applied to random funct...
Abstract: To analyze the input/output behavior of simulation models with multiple responses, we may ...
In this paper, the condition number of the stationary kriging matrix is studied for some well-known ...
The sensitivity of the Kriging-based response surface (surrogate model) to co-variogram law characte...
International audienceThis paper presents a matrix formulation of factorial kriging, and its relatio...
To analyze the input/output behavior of simulation models with multiple responses, we may apply eith...
Abstract. A deficiency of kriging is the implicit assumption of second-order stationarity. We presen...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...
This paper investigates the use of Kriging in random simulation when the simulation output variances...