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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

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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 18 , ISSUE 1 (March 2017) - List of articles

ESTIMATION OF THE CENTRAL MOMENTS OF A RANDOM VECTOR BASED ON THE DEFINITION OF THE POWER OF A VECTOR

Katarzyna Budny

The moments of a random vector based on the definition of the power of a vector, proposed by J. Tatar, are scalar and vector characteristics of a multivariate distribution. Analogously to the univariate case, we distinguish the uncorrected and the central moments of a random vector. Other characteristics of a multivariate distribution, i.e. an index of skewness and kurtosis, have been introduced by using the central moments of a random vector. For the application of the mentioned quantities for (..)

DOI: 10.21307/stattrans-2016-061

On the Performance of Some Biased Estimators in a Misspecified Model with Correlated Regressors

Shalini Chandra/ Gargi Tyagi

Abstract In this paper, the effect of misspecification due to omission of relevant variables on the dominance of the r − (k, d) class estimator proposed by Özkale (2012), over the ordinary least squares (OLS) estimator and some other competing estimators when some of the regressors in the linear regression model are correlated, have been studied with respect to the mean squared error criterion. A simulation study and numerical example have been demostrated to compare the performance of the estim(..)

DOI: 10.21307/stattrans-2016-056

Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling

Housila P. Singh/ Vishal Mehta

Abstract In this article we have suggested some improved estimators of a scale parameter of log-logistic distribution (LLD) under a situation where the units in a sample can be ordered by judgement method without any error. We have also suggested some linear shrinkage estimator of a scale parameter of LLD. Efficiency comparisons are also made in this work.

DOI: 10.21307/stattrans-2016-057

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

Marta Dziechciarz-Duda/ Anna Król

Nowadays, due to changes in the market and new trends in consumer behaviours, intangible assets, such as brand, have gained fundamental importance. The more frequent conviction that a product with a well-known name is better than other products contributes to the case of replacing the price of a product by its brand name as the predominant factor in the purchase decision process. Thus, for many companies the strengthening of brand equity has become one of the key elements of marketing strategy. (..)

DOI: 10.21307/stattrans-2016-058

TRADE PATTERN ON WARSAW STOCK EXCHANGE AND PREDICTION OF NUMBER OF TRADES

Henryk Gurgul/ Artur Machno

The main goal of this paper is to present the method for describing and predicting trade intensity on the Warsaw Stock Exchange. The approach is based on generalized linear models, the variable selection is performed using shrinkage methods such as the Lasso or Ridge regression. The variable under investigation is the number of trades of a particular stock 5-minute interval.The main conclusion is that the number of trades during short intervals is predictable in the sense that the prediction, ev(..)

DOI: 10.21307/stattrans-2016-059

THE CHALLENGES OF THE POPULATION CENSUS ROUND OF 2020. OUTLINE OF THE METHODS OF QUALITY ASSESSMENT OF POPULATION CENSUS DATA

Jan Kordos

The author begins with the challenges of the population census round of 2020 and gives an outline of the methods of quality assessment of population census data. Next, the synthesis of two Eurostat documents (2007, 2009) and UN Statistics Division (2010) monograph relating to census data quality assessment are considered. Special attention is paid to three methods of census quality assessment: (i) demographic method, (ii) post-enumeration survey, and (iii) comparison with existing household surv(..)

DOI: 10.21307/stattrans-2016-060

The Achievements of Students at the Stages of Education from the Second to Fourth Using Functional Principal Component Analysis

Mirosława Sztemberg-Lewandowska

Abstract Significant demographic phenomena can be observed in Poland – the number of school age population is decreasing. It affects higher education since the immediate effect of demographic changes is the drop in the number of students. The analysis of the level of future students’ knowledge also remains an important aspect of the problem. The purpose of the article is to compare the level of knowledge presented by students at the subsequent stages of education in the period 2009-2015. The res(..)

DOI: 10.21307/stattrans-2016-062

THE APPLICATION OF BŰHLMANN-STRAUB MODEL TO THE ESTIMATION OF NET PREMIUM RATES DEPENDING ON THE AGE OF THE INSURED IN THE MOTOR THIRD LIABILITY INSURANCE

Anna Szymańska

One of the basic variables used in the process of tariff calculation of premiums in motor liability insurance is the age of the insured. In this type of insurance offered by insurers operating on the Polish market, this variable is taken into account in the ratemaking by discounts and increases in assigned premium, known as the net premiums rates. The aim of this work is to propose a method of rate estimation of net premiums in the groups of the motor third liability insurance portfolio of indiv(..)

DOI: 10.21307/stattrans-2016-063

EVALUATION OF THE EU COUNTRIES’ INNOVATIVE POTENTIAL – MULTIVARIATE APPROACH

Elżbieta Roszko-Wójtowicz/ Jacek Białek

The aim of the article is to work out a synthetic measure for estimating country’s innovation potential (CIP) of EU economies. For the purpose of the research, data from the European Statistical Office (Eurostat) are used and several indicators are organized by four different areas of analysis, i.e. investment expenditure, education, labour market and effects. Applying multi-dimensional statistics allows us to reduce the primary set of diagnostics variables and, simultaneously, identify those wh(..)

DOI: 10.21307/stattrans-2016-064

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