Data preprocessing remains an important step in machine learning studies. This is because
proper preprocessing of imbalanced data can enable researchers to reduce defects as …

We propose a new stochastic frontier model with sample selection, in which the
dependencies between the sample selection mechanism, the inefficiency term and the two …

This article investigates the impact of environmental production conditions on smallholder
farmers' technical efficiency in Ethiopia for wheat, maize, and sorghum farming. We use a …

This paper investigates the producer-level temporal dynamics of total factor productivity and
operational performance changes in coal-and gas-based generators during the 2000 …

Efficiency analysis in production units has long been a key area of interest in economics,
particularly with the development of methodologies like Stochastic Frontier Analysis (SFA) …

Sparked by the ongoing advocacy for Africa's derivatives initiatives, this work seeks to
uncover the linkage between derivatives use and the business lending efficiency of banks in …

This article presents a comprehensive review of frontier studies for productivity analysis. The
authors discuss the two main frontier approaches and highlight the reasons for selecting the …

This study introduces a novel estimator termed" Weighted Principal Component Analysis
Estimation for Stochastic Frontier Analysis"(WPCA-SFA). This estimator combines the …

Anotace Cílem této diplomové práce je představit teorii pro hodnocení výkonnosti letišť,
která je založená na parametrických i neparametrických přístupech a její aplikaci na 115 …

ABSTRACT Irish Potato (Solanum tuberosum L.) is a very important food crop grown in
Kenya mostly by small farm holders. Kenya has made concerted effort to improve …