Tomasz E. Wesolowski

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A test for density dependence in time-series data allowing for weather effects is presented. The test is based on a discrete time autoregressive model for changes in population density with a covariate for the effects of weather. The distribution of the test statistic on the null hypothesis of density independence is obtained by parametric bootstrapping. A(More)
Cardiovascular mortality remains a leading health and social problem in many countries throughout the world. Therefore, it is obvious that current preventive measures include early detection of atheroscle-rosis process. Computed tomography (CT) is one of imaging modalities allowing for noninvasive detection of atherosclerotic lesion within coronary arteries(More)
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