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.3 for the VES models, building upon our earlier results for the univariate schemes. The most commonly used multivariate time …
Persistent link: https://www.econbiz.de/10009481696
The classification rules of linear discriminant analysis are defined by the true mean vectors and the common covariance matrix of the populations from which the data come. Because these true parameters are generally unknown, they are commonly estimated by the sample mean vector and covariance...
Persistent link: https://www.econbiz.de/10009448000
This article contains a multivariate analysis (MV), data mining (DM) techniques and water quality index (WQI) metrics …
Persistent link: https://www.econbiz.de/10012042786
susceptibility model for the north Puget Sound region. Multivariate logistic regression was utilized to create a landslide …
Persistent link: https://www.econbiz.de/10012042825
“Big Data” is an emerging term used with business, engineering, and other domains. Although Big Data is a popular term used today, it is not a new concept. However, the means in which data can be collected is more readily available than ever, which makes Big Data more relevant than ever...
Persistent link: https://www.econbiz.de/10012043164
scenarios to detect anomalies using multivariate outlier detection methods, uniquely using RFID data. This research empirically …
Persistent link: https://www.econbiz.de/10012049249
We review the past 25 years of time series research that has been published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985; International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these...
Persistent link: https://www.econbiz.de/10005427625
We present a quasi-analytic perturbation expansion for multivariate N-dimensional Gaussian integrals. The perturbation … perturbative idea can also be applied to multivariate Student-t integrals. We evaluate the perturbation expansion explicitly …
Persistent link: https://www.econbiz.de/10004977433
walk as we noticed that certain multivariate models (which included prices of silver, platinum, palladium and rhodium …
Persistent link: https://www.econbiz.de/10011105516
home strategy. In this paper, by using the hierarchical generalized linear model with multivariate responses, we develop a …. We show that using a multivariate approach substantially enhances the precision of workload predictions at both primary …
Persistent link: https://www.econbiz.de/10011241877