Ujęcie macierzowe w prognozowaniu liczby notyfikacji w systemie rapex wobec wybranych kategorii produktów
The matrix approach in predicting the number of notifications in the rapex system to chosen product categories

Summary/Abstract: The matrix regression model was used in the paper to describe the variability in time of the notification number in the RAPEX system concerning all product categories, as well as the most commonly reported, such as toys, clothing, textiles and fashion items, electrical appliances and equipment, motor vehicles, cosmetics and lighting equipment. The paper uses the data available in the annual reports of the RAPEX system, covering the period of 2006–2012. The value of the coefficient determination R2 indicated a satisfactory fit of the linear function for all notifications, and a good fit for notifications regarding clothing, textiles and fashion items and lighting equipment. The prediction carried out for 2014 indicated a further significant increase in the number of notification for all products, clothing, textiles and fashion items, and a decrease in the number of notification in case of lighting equipment.

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