Abstract It is of great significance to quantitatively evaluate the ecological degradation and restoration Yellow River source area from 2001 2017. Net primary productivity (NPP) core indicator used indicate health terrestrial ecosystems. Based on improved CASA (Carnegie-Ames-Stanford Approach) model MOD17A3 NPP products, 174 measured sample sites were validate simulation results, select with h...

There is a vast literature on robust regression estimators, the bulk of which assumes that the dependent (outcome) variable is continuous. Evidently, there are no published results on the impact of tied values in terms of the Type I error probability. A minor goal in this paper to comment generally on problems created by tied values when testing the hypothesis of a zero slope. Simulations indic...

This study aimed to examine the spatiotemporal seasonal and annual trends of rainfall indices in Perak, Malaysia, during last 35 years, as any or spatial variability may influence regional hydrological cycle water resources. Mann–Kendall Sequential (SMK) tests were used assess trends. Precipitation concentration index was estimate variations concentration, Theil–Sen’s slope estimator determine ...

We characterize the Theil ordering of income inequality by means of ordinal axioms only.

In this paper a fuzzy and cointegration analysis are used to forecast tourist demand in Greece. In the first part, Johansen’s maximum likelihood techniques are applied to estimate the long-run relationships for the principal five tourist generating countries in Greece. In the second part, the estimated error correction terms are introduced to the first difference models to estimate the five sho...

A laboratory experiment and two field studies were used to compare the accuracy of three methods that allow judgmental forecasts to be integrated with statistical methods. In all three studies the judgmental forecaster had exclusive access to contextual (or non time-series) information. The three methods compared were: (i) statistical correction of judgmental biases using Theil’s optimal linear...

In this article, we propose the Theil-Sen estimators of parameters in a multiple linear regression model based on a multivariate median, generalizing the Theil-Sen estimator in a simple linear regression model. The proposed estimator is shown to be robust, consistent and asymptotically normal under mild conditions, and super-efficient when the error distribution is discontinuous. It can be chos...