Now showing items 8-27 of 37

    • {Depthproc} Package in Multivariate Time Series Mining 

      Kosiorowski, Daniel; Bocian, Mateusz; Węgrzynkiewicz, Anna; Zawadzki, Zygmunt (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      In this paper we present our novel R package {depthproc} which implements several multivariate statistical procedures induced by statistical depth functions and we discuss some examples and applications of the package ...
    • Experimental Design in Evaluating VaR Forecasts 

      Małecka, Marta ORCID (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Following a dynamic development of VaR estimation methods from 90s, in recent literature much attention has been paid to testing procedures designed to evaluate quality of VaR models. There has been a wide-ranging ...
    • Extracting Class Description from Support Vector Machines 

      Trzęsiok, Michał (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Support Vector Machines (SVMs) belong to the group of Data Mining and Machine Learning methods. SVMs are considered to be one of the best classification methods in terms of performance measure. The biggest disadvantage ...
    • Feature Selection in High Dimensional Regression Problem 

      Kubus, Mariusz (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      There are three main approaches to feature selection problem considered in statistical and machine learning literature: filters, wrappers and embedded methods. Filters evaluate and exclude some variables before learning ...
    • Financial Inclusion Indicators in Poland 

      Gatnar, Eugeniusz (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Financial inclusion refers to a state in which all working age adults have effective access to credit, savings, payments, and insurance from formal service providers. The aim of this paper is to introduce several indicators ...
    • Generalizations of Tukey-Lambda Distributions 

      Domański, Czesław; Bolonek-Lasoń, Katarzyna ORCID (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The Generalized Lambda Distribution (GλD) is a four-parameter generalization of Tukey’s Lambda family. Several methods for estimating the parameters of the GλD have been reported in the literature, but the most popular ...
    • Gravity Unfolding Analysis for Asymmetric Similarities Matrix 

      Zaborski, Artur (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The multidimensional unfolding analysis which uses in the structure the gravity function allows consideration and analysis of additional factors (such as market share or brand loyalty), which affect the assessments of ...
    • Indirect Estimation Accounting for Spatial Autocorrelation in Economic Statistics 

      Dehnel, Grażyna; Klimanek, Tomasz; Kowalewski, Jacek (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The authors present results of a study which attempted to use indirect estimation methods (including a method accounting for spatial correlation) to estimate certain characteristics enterprises. The study relied on data ...
    • Influence of Inaccuracy Measurement On Middle- Operating Control Costs 

      Chmielińska, Magdalena (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Control charts are commonly used in plants to monitor the correctness of manufacturing process, due to their simplicity and explicitness of diagnosis. Qualification mistakes make that the signals, appear either with lag, ...
    • Influence of Unemployed Person Age on the Hazard and its Changes in Time 

      Bieszk-Stolorz, Beata; Markowicz, Iwona (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The aim of the article is to analyse the influence of unemployed person’s age on job seeking time. This influence can changes in time. That analysis is possible by using Cox nonproportional hazard model. We get the marks ...
    • Insurance in Polish Small and Medium-Sized Enterprises – Survey Results for the Period of 2010-2012 

      Gajda, Damian; Jurkiewicz, Tomasz (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The sector of small and medium-sized enterprises (SME) is an important part of the insurance market. The growth of the economy and the changes occurring in Poland are the reasons for some changes in the behavior of ...
    • Introduction 

      Domański, Czesław; Mikulec, Artur (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
    • Jan Piekalkiewicz – A Statistician of the Second Polish Republic 

      Domański, Czesław (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
    • Karolina Iwaszkiewicz-Gintowt (1902–1999) 

      Krzyśko, Mirosław (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      This paper describes the life and scientific achievements of Karolina Iwaszkiewicz- Gintowt, who before World War II worked with Jerzy Spława-Neyman.
    • Modification of Hinov Method of Variable Selection for Multiple Cluster Structure Analysis 

      Korzeniewski, Jerzy ORCID (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The original HINoV method (Carmone et al., 1999 ) is not robust to the presence of correlated unimodal and uniform variables among noisy variables (e.g. Korzeniewski, 2012). Moreover, HINoV can be applied only to a single ...
    • Non-Classical Risk Measures on the Warsaw Stock Exchange – the Application of Alpha-Stable Distributions 

      Krężołek, Dominik (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The subject of this paper is the presentation of application of the alpha-stable distributions methodology in investment risk measurement. The non-classical risk measures based on Value-at-Risk are presented: Expected ...
    • Odds Ratios in the Analysis of Contingency Table 

      Brzezińska, Justyna (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Association and relationship is one of the most important tasks in statistical analysis. The main objective of the study is to examine odds ratios as a framework for understanding of contingency tables and log-linear ...
    • On Estimation of a Quantity of Base Models with Parametric z and Permutation Tests 

      Stelmach, Jacek (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      One of the crucial problems in multiple-model approach of the regression is estimation of optimal number of base models. If the quantity is too low – it increases the prediction error whereas too high number of models ...
    • On MSE Estimation of Some Misspecified Predictor 

      Żądło, Tomasz (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      The problem of prediction of subpopulation (domain) total is studied as in Rao (2003). The problem is inspired by results obtained by Żądło (2012) who considered two predictors – empirical best linear unbiased predictor ...
    • On Some Simulation Procedures for Comparing Nonparametric Methods of Regression 

      Trzęsiok, Joanna (Wydawnictwo Uniwersytetu Łódzkiego, 2013)
      Nonparametric methods of regression form a large group of varied and rapidly growing methods. In many situations we have a problem with comparing these methods in order to select one of them to solve the regression ...