Rainfall and grain yield are two closely related random variables to be worthy of studying. The meteorological yield explains the influences of weather changes on grain yield. Based on the data series from 1980 to 2006 in Jinghuiqu irrigation district of Shaanxi Province in China, the...

In this study, screening of the data has been carried out basedon the discordancy measure (D <Subscript>i</Subscript>) in terms of the L-moments. Homogeneity of the region has been tested using the L-moments based heterogeneity measure, H. For computing the heterogeneity measure H, 500 simulations were carried out...</subscript>

Droughts are regional incidents that threat the environment and limit most of the socio-economic activities. Given the dry and wet state sequences for two sites, <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$X_t^{\left( 1 \right)} $</EquationSource> </InlineEquation> and <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$X_t^{\left( 2 \right)} $</EquationSource> </InlineEquation>, this paper presents a procedure to reduce the two sequences <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$X_t^{\left(...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>

A reliable assessment of drought return periods is essential to help decision makers in setting effective drought preparedness and mitigation measures. However, often an inferential approach is unsuitable to model the marginal or joint probability distributions of drought characteristics, such...

Purpose – In general, the insurance industry accepts large risks due to the frequency and severity of extreme events. Because of the short record on hazard data for such events, a large amount of uncertainty has to be dealt with. Given this large uncertainty it is important to better quantify...

The present paper proposes certain statistical tests, both conceptually simple and computationally easy, for analysing state-specific prima facie probabilistic causality and error correction mechanism in the context of a Markov chain of time series data arranged in a contingency table of present...

The present paper proposes certain statistical tests, both conceptually simple and computationally easy, for analysing state-specific prima facie probabilistic causality and error correction mechanism in the context of a Markov chain of time series data arranged in a contingency table of present...

In this paper, we advance a Markov chain model for price movements in India, based on the general as well as a selected set of sectional wholesale price indices and on the three consumer price indices for 240 months from April 1981 to March 2001. The estimation period has been divided into two,...

This study aims to model the joint drought duration and severity distribution using two-dimensional copulas. The method of inference function for margins (IFM method) is employed to construct copulas. Two separate maximum likelihood estimations of univariate marginal distributions are performed...