In our discussion of linear models relating rCBF to design factors and gCBF, we have not considered the computational problems of simultaneously fitting the model for thousands of voxels.32 Viewing the problem from a multivariate perspective provides efficient computation, and offers some insight into the problem. In this section we demonstrate the relationship between the simultaneous general ...

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...

Model selection criteria often arise by constructing unbiased or approximately unbiased estimators of measures known as expected overall discrepancies (Linhart & Zucchini, 1986, p. 19). Such measures quantify the disparity between the true model (i.e., the model which generated the observed data) and a fitted candidate model. For linear regression with normally distributed error terms, the “cor...

We develop a consistent procedure for testing the adequacy of parametric time series models. The approach is to extend Herman Bierens’idea of examining the covariances between regression residuals and an exponential weight function, to check the full range of orthogonalities predicted for the score contributions in quasi-maximum likelihood estimation. Tests of this type, which involve nuisance ...

Abstract The present paper proposes shrinkage testimator(s) for the scale parameter for an exponential distribution. An important feature of the proposed testimator is that, it removes the arbitrariness in the choice of shrinkage factor (weights) by making it dependent on the test statistic. The risk properties of the proposed testimator(s) have been studied under asymmetric loss function. It h...

Consider a network of k parties, each holding a long sequence of n entries (a database), with minimum vertex-cut greater than t. We show that any empirical statistic across the network of databases can be computed by each party with perfect privacy, against any set of t ¡ k=2 passively colluding parties, such that the worst-case distortion and communication cost (in bits per database entry) bot...

A shortcoming of least-squares unrestricted factor analysis (UFA) procedures, which are widely used in psychometric applications is that a test statistic for assessing model-data fit cannot be easily derived from the minimum function value. This paper proposes chi-square type goodness-of-fit intended principal-axis, MINRES, and minimum-rank UFA proce...

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...