Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...

Reliable data and statistics are necessary for informed decision-making if Africa is to achieve sustainable development, said Oliver Chinganya, the outgoing African Centre for Statistics Director, ...

Divergence estimators have emerged as quintessential tools in statistical inference, particularly in contexts where traditional likelihood‐based methods fail under model misspecification or data ...

States will play a pivotal role in creating a robust statistical system, Saurabh Garg, secretary, ministry of statistics and programme implementation (MoSPI), said at the 28th Conference of Central ...

A recent study by Kompetenzzentrum Wasser Berlin addresses a critical challenge in agricultural water reuse: how to validate that water treatment plants are able to meet regulatory performance targets ...

In the pharmaceutical industries, validation of analytical methods is a critical process that confirms the reliability and appropriateness of a method for its intended application. Method validation ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

European Union economic data are robust and trustworthy because their production is underpinned by independence, according to the European Central Bank’s statistics chief.