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  • Statistics In Transition

 

Article | 03-July-2017

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, Volume 18 , ISSUE 1, 75–90

Conference Report | 24-August-2017

The XXXV International Conference on Multivariate  Statistical Analysis, 7–9 November 2016, Łódź, Poland

Piotr Szczepocki, Jacek Białek

Statistics in Transition New Series, Volume 18 , ISSUE 2, 361–363

Report | 15-March-2019

The XXXVII International Conference on Multivariate Statistical Analysis 5–7 November 2018, Łódź, Poland

Katarzyna Bolonek-Lasoń

Statistics in Transition New Series, Volume 19 , ISSUE 4, 743–745

Report | 06-July-2017

The XXXIV International Conference on Multivariate Statistical Analysis, 16–18 November 2015, Łódź, Poland

Anna Jurek, Elżbieta Zalewska

Statistics in Transition New Series, Volume 17 , ISSUE 2, 349–351

Article | 06-July-2017

THE IDENTIFICATION OF TRAINING NEEDS FOR  HUMAN CAPITAL QUALITY IMPROVEMENT IN POLAND – A STATISTICAL APPROACH

databases describing the quality of human capital in Poland should be analysed in order to identify those competencies that graduates of universities are missing. The arsenal of possible statistical tools applicable for that purpose covers a wide range of techniques, from the simplest methods of descriptive statistics to ad-vanced multivariate statistical analysis. The study will attempt to identify the missing soft competences based on existing statistical data, e.g. Polish human capital database.

Marta Dziechciarz–Duda, Józef Dziechciarz

Statistics in Transition New Series, Volume 17 , ISSUE 4, 723–736

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