Aplikace statistických metod v technice
Apollo 13 Risk Assessment Revisited
Fault tree methodology is the most widespread risk assessment tool by which one is able to predict - in principle - the outcome of an event whenever it is reduced to simpler ones by the logic operations conjunction and disjunction according to the basics of Boolean algebra. The object of this work is to present an algorithm by which, using the corresponding computer code, one is able to predict - in practice - the outcome of an event whenever its fault tree is given in the usual form.
Application of the normal distribution to quality control
Applied statistics in designing special organic mixtures.
Approximately Optimum Two-Stage Sampling Plans.
Bayesian control charts for attributes and the large subgroup size in chart.
Bestimmung kostenoptimaler Parameter für den kontinuierlichen Stichprobenplan von DODGE.
Book Reviews - Procedures Based on a Correlated Variable with All Parameters Unknown.
Bounds for Median and 50 Percentage Point of Binomial and Negative Binomial Distribution.
Bregman superquantiles. Estimation methods and applications
In thiswork,we extend some parameters built on a probability distribution introduced before to the casewhere the proximity between real numbers is measured by using a Bregman divergence. This leads to the definition of the Bregman superquantile (thatwe can connect with severalworks in economy, see for example [18] or [9]). Axioms of a coherent measure of risk discussed previously (see [31] or [3]) are studied in the case of Bregman superquantile. Furthermore,we deal with asymptotic properties of...
Combination of 3D epoch-wise and permanent geodetic networks observed by GNSS
The local, regional and global geodetic networks are recently almost exclusively observed by satellite radionavigation methods, such as the U.S. Global Positioning System (GPS), and the Russian navigation system GLONASS. The unprecedented accuracy of geodetic satellite positioning allows determination of the geocentric site coordinates at millimetre level. The paper points to complex adjustment model applied for combination of 3D coordinates observed in permanent and epoch-wise satellite networks....
Concept of Data Depth and Its Applications
Data depth is an important concept of nonparametric approach to multivariate data analysis. The main aim of the paper is to review possible applications of the data depth, including outlier detection, robust and affine-equivariant estimates of location, rank tests for multivariate scale difference, control charts for multivariate processes, and depth-based classifiers solving discrimination problem.
Confidence intervals for the capability indices and in stationary Caussian processes.
Correction to the paper “On the two-sided quality control”
The correction sonsists of deriving correct explicit formulas for MLE of parameters of the normal distribution under the hypothesis .
Cumulative gains model quality metric.
Die messende Prüfung bei Abweichung von der Normalverteilungsannahme.
Economic Design of a Two-Stage Screening Procedure with a Prescribed Outgoing Quality.
Economic Designs of Single and Double Screening Procedures.
Economic Designs of Two-Sided Single and Double Screening Procedures.
Economically Optimal c- and np-Control Charts.