TitleStability Problems for Stochastic Models [electronic resource] : Proceedings of the 9th International Seminar held in Varna, Bulgaria, May 13-19, 1985 / edited by Vladimir V. Kalashnikov, Boyan Penkov, Vladimir M. Zolotarev
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 1987
Connect tohttp://dx.doi.org/10.1007/BFb0072704
Descript VIII, 224 p. online resource

CONTENT

The estimation of the rate of convergence in the integral limit theorem in the Euclidean motion group -- Contribution to the analytic theory of linear forms of independent random variables -- ?p-strictly stable laws and estimation of their parameters -- The method of metric distances in the problem of estimation of the deviation from the exponential distribution -- The accuracy of the normal approximation to the distribution of the sum of a random number of independent random variables -- Mixtures of probability distributions -- Some limit theorems for summability methods of I.I.D.Random variables -- Properties of mode of spectral positive stable distributions -- Two characterizations using records -- On orthogonal-series estimators for probability distributions -- Estimates of the deviation between the exponential and new classes of bivariate distributions -- On the difference between distributions of sums and maxima -- On the inequalities of Berry-Esseen and V.M. Zolotarev -- Some fixed point theorems probabilistic metric spaces -- The asymptotic bias in a deviation of a location model -- Cramer's decomposition theorem within the continuation of distribution functions -- An asymptotically most Bias-Robust invariant estimator of location -- Characterizing the distributions of the random vectors X 1, X 2, X 3 by the distribution of the statistic (X 1-X 3, X 2-X 3) -- On stability estimates of Cramer's theorem -- On the estimation of moments of regenerative cycles in a general closed central-server queueing network -- On F-processes and their applications -- On some properties of ideal metrics of order ? -- On ?-independence of sample mean and sample variance


SUBJECT

  1. Mathematics
  2. Probabilities
  3. Statistics
  4. Mathematics
  5. Probability Theory and Stochastic Processes
  6. Statistics
  7. general