Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...

Three new research highlight the importance of gathering accurate information on numbers of deaths, and suggest ways of improving estimates in countries where complete vital registration systems do ...

Researchers propose a new method to generate meteorological data that takes into account the interdependence of meteorological factors, such as temperature, humidity, and solar radiation. Due to the ...

This chapter provides a review of various AADT estimation methods available in the literature and presents relevant findings, strengths, and weaknesses, as well as an assessment of the methods based ...

The process of using past cost information to predict future costs is called cost estimation. While many methods are used for cost estimation, the least-squares regression method of cost estimation is ...

It's difficult to plan your future sales and success if you don't have any idea what the appetite is in the marketplace for your goods and services. Although there is no perfect way of predicting what ...

In a remarkable advancement for soil science, researchers from Japan have developed a novel method for estimating microbial biomass using water-extractable organic matter (WEOM) from air-dried soils.

The present manual is part of the lAEA’s programme on guides on uranium resource assessment and supply. Its purpose is to describe methods of making numerical estimates of undiscovered uranium ...

Though conceptually appealing, it is impossible to fully account in practice for all the individual decisions and behaviors that constitute the nation’s water use. Nevertheless, statistical sampling ...