The variogram estimators of the stationary stochastic processes

The development of methods to detect investigation of an intrinsically-stationary stochastic processes and fields is a very important problem in data analysis. Variogram is a main characteristic intrinsically-stationary stochastic processes in time area. It is used for measuring the variability in space. The usual estimators of variogram are highly non-robust. We can find several alternative (robust) examples for estimation in the literature. The theory of construction of robust variogram estimators of the intrinsically-stationary random processes is developed in this paper. The estimators of variogram are constructed and its statistical properties are investigate

The variogram estimators of the stationary stochastic processes

The development of methods to detect investigation of an intrinsically-stationary stochastic processes and fields is a very important problem in data analysis. Variogram is a main characteristic intrinsically-stationary stochastic processes in time area. It is used for measuring the variability in space. The usual estimators of variogram are highly non-robust. We can find several alternative (robust) examples for estimation in the literature. The theory of construction of robust variogram estimators of the intrinsically-stationary random processes is developed in this paper. The estimators of variogram are constructed and its statistical properties are investigate

Die Nimrod van Nimrud : 'n metodologiese benadering tot die evaluering van Assurnasirpal II, 883-859 v.C., as die grondlegger van die Neo-Assiriese Ryk

Thesis (M.A.) -- University of Stellenbosch, 1979.Full text to be digitised and attached to bibliographic record

The Variogram Estimates Of The Intrinsically-Stationary Stochastic Processes And Fields

The development of methods to detect investigation of an intrinsically-stationary stochastic processes and fields is a very important problem in data analysis. Variogram is a main characteristic intrinsically-stationary stochastic processes in time area. It is used for measuring the variability in space. The properties of intrinsically-stationary and multivariate intrinsically-stationary stochastic processes are investigated in this article. The spectral representations of examined processes are determined. The properties of variogram and mutual variogram of the intrinsically-stationary random processes are investigated and the spectral representations of these functions are determined

Internally homogeneous random fields analysis

An internally homogeneous random field and the variogram are introduced, and their properties are analyze