Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  distance measure
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
XX
Statistical analyses in economics are often based on explaining the phenomena by comparing time series. The purpose of such types of analyses is to find out the similarity and schematic behavior of phenomena which appear in the data. Usual time series are compared with the use of a different similarity measure which, in accordance with the literature, could be divided into four categories. In this article, I propose a method that allows to indicate whether two time series are generated by the same stochastic processes. For this purpose, I analyze a method based on a permutation test. The idea of this test is much simpler than the tests based on theoretical distributions. I also conducted a simulation analysis based on the data generated according to different scenarios, subsequently comparing the results of that analysis.
EN
When evaluating or ordering alternatives concerning given multiple criteria, decision-makers often use aspiration and reservation levels for criteria, which allows them to define some reference alterna-tives that build a common framework for the evaluation. In this paper, new multiple criteria approach, called distances to aspiration reference points (DARP), is presented, which can be implemented in a specific evaluation or ranking problem when many different aspiration levels should be taken into consideration. One example of such problem is measuring sustainable development of countries or states within the Union. In DARP, to measure the performance of alternative (state), the notion of dis-tances between alternative and individual or common aspiration reference points is used. To manage the problem of different reference points, a modified max-min normalisation technique is proposed. DARP application for measuring smart growth of the EU countries is conducted to demonstrate the effectiveness of the proposed method.
EN
The paper contains a proposal of original method of assessment of information loss resulted from an application of the Statistical Disclosure Control (SDC) conducted during preparation of the resulting data to the publication and disclosure to interested users. The SDC tools enable protection of sensitive data from their disclosure – both direct and indirect. The article focuses on pseudonimised microdata, i.e. individual data without fundamental identifiers, used for scientific purposes. This control is usually to suppress, swapping or disturbing of original data. However, such intervention is connected with the loss of some information. Optimization of choice of relevant SDC method requires then a minimization of such loss (and risk of disclosure of protected data). Traditionally used methods of measurement of such loss are not rarely sensitive to dissimilarities resulting from scale and scope of values of variables and cannot be used for ordinal data. Many of them weakly take also connections between variables into account, what can be important in various analyses. Hence, this paper is aimed at presentation of a proposal (having the source in papers by Zdzisław Hellwig) concerning use of a method of normalized and easy interpretable complex measure (called also the synthetic indicator) for connected features based on benchmark and anti–benchmark of development to the assessment of information loss resulted from an application of some SDC techniques and at studying its practical utility. The measure is here constructed on the basis of distances between original data and data after application of the SDC taking measurement scales into account.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.