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Statistics in Transition New Series

An International Journal of the Polish Statistical Association

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

FEATURED ARTICLES

SUBJECTIVE AND COMMUNITY WELL-BEING INTERACTION IN A MULTILEVEL SPATIAL  MODELLING FRAMEWORK
LINEAR CHOLESKY DECOMPOSITION OF COVARIANCE MATRICES IN MIXED MODELS WITH CORRELATED RANDOM EFFECTS

VOLUME 17 , ISSUE 2 (June 2016) - List of articles

FROM THE EDITOR

Włodzimierz Okrasa

DOI: 10.21307/stattrans-2016-011

SOME EFFECTIVE ESTIMATION PROCEDURES UNDER NON-RESPONSE IN TWO-PHASE SUCCESSIVE SAMPLING

G. N. Singh/ M. Khetan/ S. Maurya

This work is designed to assess the effect of non-response in estimation of the current population mean in two-phase successive sampling on two occasions. Sub-sampling technique of non-respondents has been used and exponential methods of estimation under two-phase successive sampling arrangement have been proposed. Properties of the proposed estimation procedures have been examined. Empirical studies are carried out to justify the suggested estimation procedures and suitable recommendations have(..)

DOI: 10.21307/stattrans-2016-012

TRANSMUTED KUMARASWAMY DISTRIBUTION

Muhammad Shuaib Khan/ Robert King/ Irene Lena Hudson

The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological problems and many natural phenomena. We propose a generalization of the Kumaraswamy distribution referred to as the transmuted Kumaraswamy (𝑇𝐾𝑤) distribution. The new transmuted distribution is developed using the quadratic rank transmutation map studied by Shaw et al. (2009). A comprehensive account of the mathematical properties of the new distribution is provided. Explicit expressions are deriv(..)

DOI: 10.21307/stattrans-2016-013

BAYESIAN INFERENCE FOR STATE SPACE MODEL WITH PANEL DATA

Ranjita Pandey/ Anoop Chaturvedi

The present work explores panel data set-up in a Bayesian state space model. The conditional posterior densities of parameters are utilized to determine the marginal posterior densities using the Gibbs sampler. An efficient one step ahead predictive density mechanism is developed to further the state of art in prediction-based decision making.

DOI: 10.21307/stattrans-2016-014

ON MEASURING INCOME POLARIZATION: AN APPROACH BASED ON REGRESSION TREES

Mauro Mussini

This article proposes the application of regression trees for analysing income polarization. Using an approach to polarization based on the analysis of variance, we show that regression trees can uncover groups of homogeneous income receivers in a data-driven way. The regression tree can deal with nonlinear relationships between income and the characteristics of income receivers, and it can detect which characteristics and their interactions actually play a role in explaining income polarization(..)

DOI: 10.21307/stattrans-2016-015

QUALITY OF LIFE AND POVERTY IN UKRAINE – PRELIMINARY ASSESSMENT BASED ON THE SUBJECTIVE WELL-BEING INDICATORS

Oleksandr Osaulenko

The paper provides an overview of the information sources, methodology and main findings of the research of quality of life and poverty using indicators of subjective well-being applied by state statistics agencies in Ukraine. The paper describes the system of indicators for self-evaluation of the attained level of well-being, the level of satisfaction from meeting the basic living needs, and the limitations in consumption abilities of selected population groups due to hard conditions. In additi(..)

DOI: 10.21307/stattrans-2016-016

ON THE RELATIONSHIPS BETWEEN SMART GROWTH AND COHESION INDICATORS IN THE EU COUNTRIES

Beata Bal-Domańska/ Elżbieta Sobczak

Within the framework of the Europe 2020 strategy smart growth is listed as one of the leading policy objectives aimed at improving the situation in education, digital society and research and innovation. The objective of this article is to evaluate the relationships between smart growth and economic and social cohesion factors. Aggregate measures were used to describe smart growth pillars. Here, social cohesion is described by the level of employment rate as one of the conditions essential to th(..)

DOI: 10.21307/stattrans-2016-017

HETEROSCEDASTIC DISCRIMINANT ANALYSIS COMBINED WITH FEATURE SELECTION FOR CREDIT SCORING

Katarzyna Stąpor/ Tomasz Smolarczyk/ Piotr Fabian

Credit granting is a fundamental question and one of the most complex tasks that every credit institution is faced with. Typically, credit scoring databases are often large and characterized by redundant and irrelevant features. An effective classification model will objectively help managers instead of intuitive experience. This study proposes an approach for building a credit scoring model based on the combination of heteroscedastic extension (Loog, Duin, 2002) of classical Fisher Linear Discr(..)

DOI: 10.21307/stattrans-2016-018

KNOWLEDGE-BASED ECONOMY IN THE EUROPEAN UNION – CROSS-COUNTRY ANALYSIS

Iwona Skrodzka

The knowledge-based economy is an economy where knowledge is created, acquired, transmitted and used effectively by businesses, organizations, individuals and communities. It is not narrowly focused on the industries of advanced technology or ICT, but provides a framework for analysing the range of policy options in education, information infrastructure and systems of innovation, which could help contribute to the knowledge economy. The aim of the paper is to analyse spatial differences in the l(..)

DOI: 10.21307/stattrans-2016-019

NEW METHOD OF VARIABLE SELECTION FOR BINARY DATA CLUSTER ANALYSIS

Jerzy Korzeniewski

Cluster analysis of binary data is a relatively poorly developed task in comparison with cluster analysis for data measured on stronger scales. For example, at the stage of variable selection one can use many methods arranged for arbitrary measurement scales but the results are usually of poor quality. In practice, the only methods dedicated for variable selection for binary data are the ones proposed by Brusco (2004), Dash et al. (2000) and Talavera (2000). In this paper the efficiency of these(..)

DOI: 10.21307/stattrans-2016-020

THE GLUEVAR RISK MEASURE AND INVESTOR’S ATTITUDES TO RISK– AN APPLICATION TO THE NON-FERROUS METALS MARKET

Dominik Krężołek

Investing in the economic world, characterized by a high level of uncertainty and volatility, entails a higher level of risk related to investment. One of the most commonly used risk measure is Value-at-Risk. However, despite the ease of calculation and interpretation, this measure suffers from a significant drawback – it is not subadditive. This property is the key issue in terms of portfolio diversification. Another risk measure, which meets this assumption, has been proposed – Conditional Val(..)

DOI: 10.21307/stattrans-2016-021

EXAMINING SIMILARITIES IN TIME ALLOCATION AMONGST EUROPEAN COUNTRIES

Marta Hozer-Koćmiel/ Christian Lis

The aim of the article is to analyse the similarities between the selected European countries in terms of time allocation. Time allocation has been defined as the daily distribution of time to various activities. Professional work time, domestic work time and leisure time are the most important for the economic approach. It has been proved that there are coherent groups of countries with similar structure of time allocation. The taxonomic methods used in order to verify the thesis included: clus(..)

DOI: 10.21307/stattrans-2016-022

DECOMPOSITION OF DIFFERENCES IN INCOME DISTRIBUTIONS USING QUANTILE REGRESSION

Joanna Małgorzata Landmesser

The paper deals with microeconometric techniques useful for the study of differences between groups of objects, methods that go beyond simple comparison of average values. Techniques for the decomposition of differences in distributions by constructing counterfactual distributions were considered. Using the Machado-Mata quantile regression approach the empirical decomposition of the inequalities in income distributions of one-person households in urban and rural areas was performed. We employed (..)

DOI: 10.21307/stattrans-2016-023

ABOUT THE AUTHORS

DOI: 10.21307/stattrans-2016-026

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