BACKGROUND Influenza is a well known and common human respiratory infection, causing significant morbidity and mortality every year. Despite Influenza variability, fast and reliable outbreak detection is required for health resource planning. Clinical health records, as published by the Diagnosticat database in Catalonia, host useful data for probabilistic detection of influenza outbreaks. ME...

Baseline differences between patients without heart disease (HD) and with HD were assessed by the chi-squared test for categorical data. Quantitative data were tested for normality using the Kolmogorov–Smirnov test. The t-test was used to test differences for normally distributed data; otherwise the Wilcoxon rank-sum test was used. Clinical baseline data comparing these groups are visualized in...

This paper examines the channel holding time of public cellular telephony systems. This is the time that the Mobile Station (MS) remains in the same cell, a fraction of the call holding time. The study is based on actual data taken from a working system. The probability distribution that fits the empirical sample best when applying the Kolmogorov-Smirnov test is a mixture of lognormals. Combina...

In this study I briefly illustrate application of the Gaussian mixtures to approximate empirical distributions of financial indices (DAX, Dow Jones, Nikkei, RTSI, S&P 500). The resulting distributions illustrate very high quality of approximation as evaluated by Kolmogorov-Smirnov test. This implies further study of application of the Gaussian mixtures to approximate empirical distributions of ...

We present an algorithm for computing exact expressions for the distribution of the maximum or minimum of an arbitrary nite collection of linear combinations of spacings or exponential random variables with rational coeecients. These expressions can then be manipulated or evaluated using symbolic math packages such as MAPLE. As examples, we apply this algorithm to obtain the distributions of th...

We prove a law of the iterated logarithm for the Kolmogorov-Smirnov statistic, or equivalently, the discrepancy of sequences (nkω) mod 1. Here (nk) is a sequence of integers satisfying a subHadamard growth condition and such that linear Diophantine equations in the variables nk do not have too many solutions. The proof depends on a martingale embedding of the empirical process; the number-theor...