3 citations · 6 across the 8 of their papers we have counts for
8 papers
Reformulating the Kriging Algorithm to the Practicing Miner
T. Suslo
The main aim of applied geostatistics is to derive `mean' and `variance' of ore to the practicing miner. This paper suggests brand-new approach to the problem.
The Correct Classic Generalized Least-Squares Estimator of an Unknown Constant Mean of Randon Field
Tomasz Suslo
The aim of the paper is to derive for the negative correlation function with a time parameter an asymptotic disjunction of the numerical generalized least-squares estimator of an u…
Complex-Valued Best Linear Unbiased Estimator of an Unknown Constant Mean of White Noise
Tomasz Suslo
In this paper the complex-valued best linear unbiased estimator of an unknown constant mean of white noise was derived the ordinary least-squares estimator of an unknown constant m…
The Numerical Generalized Least-Squares Estimator of an Unknown Constant Mean of Random Field
Tomasz Suslo
We constraint on computer the best linear unbiased generalized statistics of random field for the best linear unbiased generalized statistics of an unknown constant mean of random…
Modern Statistics by Kriging
Tomasz Suslo
We present statistics (S-statistics) based only on random variable (not random value) with a mean squared error of mean estimation as a concept of error.
Kriging Scenario For Capital Markets
T. Suslo
An introduction to numerical statistics.
Complex Mean and Variance of Linear Regression Model for High-Noised Systems by Kriging
Tomasz Suslo
The aim of the paper is to derive the complex-valued least-squares estimator for bias-noise mean and variance.
Mean and Variance Estimation by Kriging
Tomasz Suslo
The aim of the paper is to derive the numerical least-squares estimator for mean and variance of random variable. In order to do so the following questions have to be answered: (i)…