Scientific Research Publishing

Anomaly Detection in Selected Aerosol Optical Properties and Associated Climate Variables Using a Multivariate Hidden Markov Model: A Case Study over Kenya ()

1 Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya. 2 Department of Renewable Energy and Technology, Turkana University College, Lodwar, Kenya. Understanding ...
SciELO

UNIVARIATE AND MULTIVARIATE APPROACHES IN THE CHARACTERIZATION OF LIMA BEAN GENOTYPES

To estimate the genetic diversity among the genotypes of a germplasm collection, a combined analysis of qualitative and quantitative variables was performed. The objective was to promote the ...
Scientific Research Publishing

Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()

In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of missing, ...
IEEE

Permutation Optimization Using Multivariate Dependent Estimation of Distribution Algorithm

Abstract: Permutation optimization is essential in various fields, such as task scheduling, path planning. Considering the exploration ability of Estimation of Distribution Algorithms (EDAs), a ...
Seeking Alpha

NY Fed's 'Multivariate Core Trend' Inflation Measure Hits 3.0%, Worst In Over A Year, Predicts Acceleration Of PCE Price Index

The Multivariate Core Trend inflation rate for March accelerated to 3.0% year-over-year, the worst reading since February 2024, according to the New York Fed today. The re-acceleration was driven ...
GitHub

Multivariate analysis of ordinal data with missing values and latent variables

Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
JSTOR Daily

Some Properties of the Multivariate Generalized Hyperbolic Laws

Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 83, No. 1 (February 2021), pp. 187-205 (19 pages) The purpose of this study is to characterize multivariate generalized hyperbolic ...
JSTOR Daily

Sparse abnormality detection based on variable selection for spatially correlated multivariate process

Monitoring the manufacturing process becomes a challenging task with a huge number of variables in traditional multivariate statistical process control (MSPC) methods. However, the rich information is ...
IFLScience

No, Dice Rolls Aren't Technically Random – Here's Why

Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...
Frontiers

Degradation and life prediction of mechanical equipment based on multivariate stochastic process

Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...