Nature

Nonparametric Methods in Probability Density Estimation

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
pv magazine International

BIPV shading estimation methods key for uptake, says IEA-PVPS

The IEA-PVPS Task 15 has conducted a global survey on BIPV design workflows and methods. The team surveyed 80 professionals from 10 professional groups involved in BIPV, including architects, ...
National Academies of Sciences%2c Engineering%2c and Medicine

Using Multiple Data Sources and State-of-the-Art Estimation Methods in Federal Statistics: Frameworks, Methods, and Assessment

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...
Nature

Bayesian Estimation and Maximum Likelihood Methods

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
AZOM

A Novel Method for Accurate SoC Estimation in LiFePO4 Batteries

Researchers from Pandit Deendayal Energy University have published a groundbreaking study in the journal Green Energy and Intelligent Transportation, demonstrating the application of optimized ...