Spatial modelling and the statistical analysis of spatial data in human geography
Robert Haining (1987)
Mathématiques et Sciences Humaines
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Robert Haining (1987)
Mathématiques et Sciences Humaines
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Adalbert F. X. Wilhelm (2000)
Journal de la société française de statistique
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Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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Gower, John (2008)
Journal Électronique d'Histoire des Probabilités et de la Statistique [electronic only]
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Murtagh, Fionn (2008)
Journal Électronique d'Histoire des Probabilités et de la Statistique [electronic only]
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Sowey, Eric R. (2002)
Journal of Applied Mathematics and Decision Sciences
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Ali, Rosihan M., Seth, Daniel L., Zainuddin, Zarita, Kassim, Suraiya, Sulaiman, Hajar, Haili, Hailiza Kamarul (2002)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Liu Bin, Zhang Hui, Liu Sifeng, Dang Yaoguo (2006)
Computer Science and Information Systems
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W. J. Heiser, J. de Leeuw (1981)
Mathématiques et Sciences Humaines
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Milija Suknović, Milutin Čupić, Milan Martić, Darko Krulj (2005)
The Yugoslav Journal of Operations Research
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Eugenia Stoimenova, Plamen Mateev, Milena Dobreva (2006)
Review of the National Center for Digitization
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Ammar Shaker, Eyke Hüllermeier (2014)
International Journal of Applied Mathematics and Computer Science
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In this paper, we introduce a method for survival analysis on data streams. Survival analysis (also known as event history analysis) is an established statistical method for the study of temporal “events” or, more specifically, questions regarding the temporal distribution of the occurrence of events and their dependence on covariates of the data sources. To make this method applicable in the setting of data streams, we propose an adaptive variant of a model that is closely related to...
Y. W. Teh (2004)
Mathware and Soft Computing
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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...
Dilip C. Nath, Ramesh K. Vishwakarma, Atanu Bhattacharjee (2016)
Biometrical Letters
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Methods for dealing with missing data in clinical trials have received increased attention from the regulators and practitioners in the pharmaceutical industry over the last few years. Consideration of missing data in a study is important as they can lead to substantial biases and have an impact on overall statistical power. This problem may be caused by patients dropping before completion of the study. The new guidelines of the International Conference on Harmonization place great emphasis...