Sentence examples for extreme estimation from inspiring English sources

This paper presents a novel affine approximation method for multiplication, Approximation Affine based on Space Extreme Estimation.

A novel affine approximation method, Approximation Affine based on Space Extreme Estimation (AASEE), is proposed to reduce the uncertainty of multiplication and achieve an accurate and efficient range analysis of multiplication in this paper.

To reduce the uncertainty in the AA and achieve efficient and accurate range analysis of multiplication, this paper presents a novel refined affine approximation method, Approximation Affine based on Space Extreme Estimation (AASEE).

This paper presents stochastic models for the significant wave height, the mean zero-crossing wave period and the wind speed for long-term and extreme estimations.

This study for the first time provides a new approach towards a better understanding of influence of non-stationarities in both copula functions and marginal distributions on extreme flood estimation, and could be beneficial to cost-benefit based non-stationary bivariate design flood estimation across the world.

The statistical uncertainties are estimated based on the Maximum-Likelihood method, and the extreme value estimation uses the peaks-over-threshold (POT) method.

For extreme events, estimation of high conditional quantiles for heavy tailed distributions is an important problem.

Extreme flood estimation has been a key research topic in hydrological sciences.

However, previous cost-benefit based extreme flood estimation is based on stationary assumptions and analyze dependent flood variables separately.

Fitting statistical laws from a short time series does not give any guarantee of reliability on extreme flood estimation.

Therefore, the occurring climate change cannot be neglected in the design procedure based on extreme rainfall estimation.