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 ...

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 ...

Muscat, March 11Among the many innovative research projects recognised at the 12th National Research Award organised by the Research and ...

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 ...

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 ...

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 ...