Measures and contours in depth are new statistical techniques applied in the analysis of observations. They are particularly applied in the visualisation of 2-dimentional samples in R2 space. The theory of measures and ...

The multiple procedure for stepwise regression analysis presented in this paper is based on traditional methods, such as F-lest and test of partial correlations. This procedure, having multiple testing character, keeps the ...

Given a probability measure space (Ω, A, P), random variable in classical definition is a mapping from Ω to R. Multivalued random variable is a mapping from Ω to all subset of X. For a real separable Banach space X with ...

The incidence matrices of ternary balanced block designs for v treatments have been used to construct chemical balance weighing designs for p = v and p = v + 1 objects with uncorrelated estimators of weights. Conditions ...

Tests based on the number and length of runs find their use more and more often. The reason is that they are nonparametric tests i.e. the ones that need no assumptions on the population distribution. Some of these tests ...

This paper presents how to use the near neighbours technique in aim to transform a given data set (Z, X, YT) of size N into a set of J ~ N local samples (Z, X), with restrictions on minimal number К of members in each local ...

Sequential probability ratio tests may be used to verify statistical hypotheses not only when sample is drawn sequentially independently but also when the sampling is performed according to other patterns. In the paper a ...

In the paper the statistical fluctuation of the results of pension plan valuation (by use of unit credit method) is estimated. It is shown that the variance of the relative deviation of the valuation result from the proper ...

The idea of time dominance was formulated about twenty years ago and this term means the greater utility value of one „fact" over the other in every moment of strictly defined period of time. The dominance ranking methods ...

In the epidemiological analysis of chronic diseases (most often cardiovascular or cancer) the main problem of interest is the estimation of the risk of death (or getting ill) related to set of characteristics called risk ...