K e y w o r d s M a i n t e n a n c e , Repair-time limit, Imperfect repair, Earning rate, Lorenz statistics, Nonparametric. This research was partially supported by the Ministry Education, Culture, Sports, Science and Technology, Grantin-Aid for Exploratory Research; Grant No. 15651076 (2003-2005), Scientific Research (B); Grant No~ 16310116 (2004-2006), Scientific Research (C); Grant No. 1651...

Abstract. This article provides a new estimate of error growth models' parameters approximating predictability curves and their differentials, calculated from data the ECMWF forecast system over 1986 to 2011 period. Estimates largest Lyapunov exponent are also provided, along with model limit value curve. The proposed correction is based on ability Lorenz (2005) simulate curve forecasting compa...

Probability density P (x) is defined so that the probability of finding a random variable x in the interval from x to x+ dx is equal to P (x) dx. Cumulative probability C(x) is defined as the integral C(x) = ∫∞ x P (x) dx. It gives the probability that the random variable exceeds a given value x. The Boltzmann-Gibbs distribution gives the probability of finding a physical system in a state with...

Probability density P (x) is defined so that the probability to find a random variable x in the interval from x to x+ dx is equal to P (x) dx. Cumulative probability C(x) is defined as the integral C(x) = ∫∞ x P (x) dx. It gives the probability that the random variable exceeds a given value x. The Boltzmann-Gibbs distribution gives the probability of finding a physical system in a state with th...

Background: We aimed to establish a novel diagnostic model for kidney diseases by combining artificial intelligence with complete mass spectrum information from urinary proteomics. Methods: enrolled 134 patients (IgA nephropathy, membranous and diabetic disease) 68 healthy participants as controls, total of 610,102 spectra their proteomic profiles. The training data set (80%) was used create us...

Probability density P (x) is defined so that the probability to find a random variable x in the interval from x to x+ dx is equal to P (x) dx. Cumulative probability C(x) is defined as the integral C(x) = ∫∞ x P (x) dx. It gives the probability that the random variable exceeds a given value x. The Boltzmann-Gibbs distribution gives the probability of finding a physical system in a state with th...

Probability density P (x) is defined so that the probability to find a random variable x in the interval from x to x+ dx is equal to P (x) dx. Cumulative probability C(x) is defined as the integral C(x) = ∫∞ x P (x) dx. It gives the probability that the random variable exceeds a given value x. The Boltzmann-Gibbs distribution gives the probability of finding a physical system in a state with th...