Search
4 articles for “nonparametric methods”
-
Statistical Modeling: New Trends and Applications
Abstract: Statistical modeling plays a crucial role in various fields, aiding in decision-making, prediction, and inference. This article presents a comprehensive review of recent literature to identify and discuss the emerging trends in statisticaL modeling. The methodology involved a systematic search of relevant databases using specific keywords and selection criteria. The review highlights the limitations of traditional statistical modeling techniques and emphasizes the need for advancements in the field. The findings …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 39–43 Read article
-
Use of Data Envelopment Analysis to Measure the Technical Efficiencies of Banks in India
Abstract: Data envelopment analysis (DEA) has been applied in many studies in the banking industry. It is a nonparametric method in Operations Research and Economics for measuring the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. Companies use many different inputs (such as assets, employees, shareholders’ equities, etc.) to generate outputs (such as profits, revenues, market values, etc.). This paper is an attempt to implement …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 2, 2015 · pp. 32–47 Read article
-
The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design Read article
-
The fundamental premises of efficient linear regression and applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related.A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must be …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 21–26 Read article