Concise Managerial Statistics

TL;DR: In this paper, experimental data are used to develop prediction models using Multiple Linear Regression and Artificial Neural Network methodologies, which outperforms the linear model by a fair margin (1400%) and is integrated with an optimisation algorithm, known as Simulated Annealing (SA), in order to obtain a set of cutting parameters that result in low surface roughness.

TL;DR: In this paper , the authors proposed a framework to generate maritime traffic routes using statistical density analysis, where automatic identification system (AIS) data are used to derive quantitative traffic routes, and a similar ship trajectory pattern is decomposed into a matrix based on Hausdorff–distance algorithm and then stored in a database.

TL;DR: These findings suggest that potentially regenerating forests may receive considerable input from sources such as pasture trees and in this way gain structural complexity, which also greatly enhances their value for other forest organisms, such as canopy arthropods.

TL;DR: This work presents two experiments that compare people's use of control and non-control charts to make decisions between hospitals and to monitor changes across time and highlights some common concerns about using control charts in hospital settings.