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Article

SELECTING THE OPTIMAL MULTIDIMENSIONAL SCALING PROCEDURE FOR METRIC DATA WITH R ENVIRONMENT

In multidimensional scaling (MDS) carried out on the basis of a metric data matrix (interval, ratio), the main decision problems relate to the selection of the method of normalization of the values of the variables, the selection of distance measure and the selection of MDS model. The article proposes a solution that allows choosing the optimal multidimensional scaling procedure according to the normalization methods, distance measures and MDS model applied. The study includes 18 normalization

Marek Walesiak, Andrzej Dudek

Statistics in Transition New Series , ISSUE 3, 521–540

Article

A COMPARATIVE ANALYSIS OF ECONOMIC EFFICIENCY OF MEDIUM-SIZED MANUFACTURING ENTERPRISES IN DISTRICTS OF WIELKOPOLSKA PROVINCE USING THE HYBRID APPROACH WITH METRIC AND INTERVAL-VALUED DATA

The article describes a hybrid approach to evaluating economic efficiency of medium-sized manufacturing enterprises (employing from 50 to 249 people) in districts of Wielkopolska province, using metric and interval-valued data. The hybrid approach combines multidimensional scaling with linear ordering. In the first step, multidimensional scaling is applied to obtain a visual representation of objects in a two-dimensional space. In the next step, a set of objects is ordered linearly based on the

Grażyna Dehnel, Marek Walesiak

Statistics in Transition New Series , ISSUE 2, 49–68

Research Article

Explorative Visualization of Citation Patterns in Social Network Research

We propose a visual representation of bibliographic data based on shared references. Our method employs a distance metric that is derived from bibliographic coupling and then subjected to fast approximate multidimensional scaling. Its utility is demonstrated by an explorative analysis of social network publications that, most notably, depicts the genesis of an area now commonly referred to as network science. However, the example also illustrates some common pitfalls in bibliometric analysis.

Ulrik Brandes, Christian Pich

Journal of Social Structure , ISSUE 1, 1–19

research-article

A case study of soil food web components affected by Fallopia japonica (Polygonaceae) in three natural habitats in Central Europe

environmental characteristics (soil pH and soil microbial respiration as constrained variables) were analyzed by ordination techniques. Redundancy analysis (RDA) was performed using Canoco 5 (Ter Braak and Šmilauer, 2012), because response data were compositional and had a gradient of 1.7 standard deviations. The significance of the axis was tested by a Monte Carlo permutation test. Non-metric multidimensional scaling (NMS) ordination was used to examine any changes in the structure of nematode community

Andrea Čerevková, Lenka Bobuľská, Dana Miklisová, Marek Renčo

Journal of Nematology , 1–16

Article

THE APPLICATION OF MULTIVARIATE STATISTICAL ANALYSIS TO THE VALUATION OF DURABLE GOODS BRANDS

 of marketing strategy. The main aim of this study is an attempt to improve the process of analysing the position and value of brands using selected multivariate statistical analysis methods (hedonic regression, multidimensional scaling, classification and linear ordination methods). In the conducted research the direct approach to the evaluation of the position of the brands for a selected ICT good – smartphones – have been applied. The measurement was performed

Marta Dziechciarz-Duda, Anna Król

Statistics in Transition New Series , ISSUE 1, 75–90

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