Several adaptive order statistic filters (OSF) are developed and compared for channel characterization and noise suppression in images and 3-D CT data. Emphasis has been put on the situation when a noise-free reference image is not available but instead we can have a sequence of two noisy versions of the same image (or a 3-D data slice). One of the noisy images is used as the reference in the O...

radiology and imaging data of patient is the main and the most important data of the patient. not only it shows disease of patient, but also it is included of the body geometry such as 2d and 3d. gathering and saving of radiology images and data for different patients can be useful for future statistic studies. many questions like, how to, why, in which and etc can be answered by statistic meth...

The article deals with the history of diagnostics in dermatovenerology on Medical Faculty in Prague from 1875 to 1910. Medical Reports of General Hospital in Prague from those years were used as the source of data. Three dermatologic and venereal diagnoses from years 1875, 1881, 1885, 1890, 1895, 1899, 1906 and 1910 were used for a statistic comparison. The article also contains short descripti...

A Martingale Representation for Matching Estimators Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for matching estimators. This representation allows the use of martingale limit theorems to derive the asym...

We consider linear statistics of the scaled zeros of Dirichlet L– functions, and show that the first few moments converge to the Gaussian moments. The number of Gaussian moments depends on the particular statistic considered. The same phenomenon is found in Random Matrix Theory, where we consider linear statistics of scaled eigenphases for matrices in the unitary group. In that case the higher ...