Statistical methods and algorithms for spatio-temporal cluster analysis

• Autorzy: Abramovich M. , Mitskevich M.
• Języki publikacji: EN

Abstrakty

EN

The global clusterization test and scan statistic method for studying geographical distribution of the objects are considered. The algorithm of windows set construction for the flexible spatial was developed. The robust version of spatial scan statistic method is proposed. The children carcinoma of the Belarus was analyzed using scan statistic method.

Słowa kluczowe

EN

cluster analysis; spatiotemporal; scan statistic; flexible; robust; algorithm; cluster construction; thyroid carcinoma; detection

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2017
• Tom: Vol. 1-2(21)
• Strony: 5--14
• Opis fizyczny: Bibliogr. 5 poz., rys., tab.

Twórcy

autor

Abramovich M.

• Belarusian State University, Nezavisimosty pr., 4 Minsk, Republic of Belarus

autor

Mitskevich M.

• Belarusian State University, Nezavisimosty pr., 4 Minsk, Republic of Belarus

Bibliografia

• 1. Kulldorff M., Song C., Gregorio D., Samociuk H., DeChello L.: Cancer map patterns: are they random or not? American Journal of Preventive Medicine, № 30(2), pp. 37-49, 2007.
• 2. Rogerson P.: A set of associated statistical tests for detection of spatial clustering. Ecological and Environmental Statistics. Vol. 12, pp. 275-288, 2005.
• 3. Tango T., K. Takahashi K.: A flexibly shaped scan statistic for detecting clusters. International journal of Health Geographics. Vol. 4, pp. 115-125, 2005.
• 4. Huber P.J.: Robust Statistics. New York: Wiley, 1981.
• 5. Abramovich M.S., Mitskevich M.M.: Robust spatio-temporal cluster analysis of disease. Proceedings of the 10th International Conference “Computer Data Analysis and Modeling”. Vol. 2. Minsk: “Рublishing center of BSU”, pp. 95-98, 2013.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).