JSTOR Daily

Assessing the Performance of Model-Based Clustering Methods in Multivariate Time Series with Application to Identifying Regional Wind Regimes

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 20, No. 2 (June 2015), pp. 192-217 (26 pages) The desire to group observations generated from multivariate time series is common ...
lse

Multivariate Analysis and Measurement

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MSc in Applied Social Data Science, MSc in European and ...
JSTOR Daily

Weighted Simplex Procedures for Determining Boundary Points and Constants for the Univariate and Multivariate Power Methods

The power methods are simple and efficient algorithms used to generate either univariate or multivariate nonnormal distributions with specified values of (marginal) mean, standard deviation, skew, and ...
pv magazine International

PV power generation forecast technique for solar plants with missing data

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...