Semiparametric bootstrapping forestimating parameters in krigingmodel for deterministic simulations

Open

Elmanani Simamora, Susiana, Eri Widyastuti

2020 Journal of Physics: Conference Series Vol. 1485 Issue 1 Conference paper Cited by 0 SDG 15 Quartile

Abstract

In practice, the parameters in the Kriging model are unknown, but they can be estimated based on the behaviour of the observed data. Parameters in the Kriging model can be estimated based on the consideration of Regression-Kriging models. Regression-Kriging models are Universal Kriging models with polynomials of degree zero (Ordinary Kriging), one (Universal Kriging with degree one), or two (Universal Kriging with degree two). A new method for estimating the parameters in the Kriging model with semiparametric bootstrapping is proposed in this paper. The semiparametric bootstrapping procedure works by combining the bootstrap method and Kriging. © Published under licence by IOP Publishing Ltd.

Affiliations

Matematika FMIPA Universitas Negeri Medan, Jalan Willem Iskandar Pasar v Medan, Indonesia

Research at a Glance

Premium content — register to unlock

Research at a Glance

Register to unlock

Topics & SDG Alignment

Premium content — register to unlock

Topics & SDG Alignment

Register to unlock

Collaboration

Premium content — register to unlock

Collaboration

Register to unlock

Author Profile (Selected)

Premium content — register to unlock

Author Profile (Selected)

Register to unlock

References Overview

Premium content — register to unlock

References Overview

Register to unlock

Journal & Source

Premium content — register to unlock

Journal & Source

Register to unlock

Metadata & Integrity

Premium content — register to unlock

Metadata & Integrity

Register to unlock