Understanding Multivariate Models: Forecasting Investment Outcomes

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
BMJ Open

Women’s health-related functioning and its association with non-severe maternal morbidities during the perinatal period: an observational longitudinal study

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
IEEE

A Novel Moisture Measurement Method for the Sintering Mixture Based on Multivariate Feature Fusion

Abstract: Real-time and accurate measurement of the sintering mixture moisture is crucial for improving product quality and the efficiency of the sintering process. However, this task remains ...
Scientific Research Publishing

Myers, R.H., Montgomery, D. and Anderson-Cook, C. (2016) Response Surface Methodology: Process and Product Optimization Using Designed Experiments. 1st Edition, Wiley.

ABSTRACT: Pyrethrum (Chrysanthemum cinerariaefolium L.) is an industrial crop with complex morphology and diverse physico-mechanical properties that jeopardize the optimal design of precision ...
IEEE

Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance

Abstract: Multivariate time series (MTS) forecasting is considered as a challenging task due to complex and nonlinear interdependencies between time steps and series. With the advance of deep learning ...
Scientific Research Publishing

Anderson, M.J. (2001) A New Method for Non-Parametric Multivariate Analysis of Variance. Austral Ecology, 26, 32-46.

TITLE: Morphometry of a Freshwater Shrimp Macrobrachium sollaudii (De Man, 1912), Collected in the Kinombe and Maseko Rivers of the Babagulu Forest Reserve (Tshopo, Democratic Republic of the Congo) ...