Now showing items 1-20 of 22

    • On some Inferential Procedures for Receiver Operating Characteristic Curves 

      Rossa, Agnieszka (Wydawnictwo Uniwersytetu Łódzkiego, 2006)
      In the paper two significance tests for receiver operating characteristic curves (ROC) are proposed. Both tests use an asymptotic χ² distribution of the test statistics.
    • Estimation of Bias and Variance of Sample Median by Jacknife and Bootstrap Methods 

      Pruska, Krystyna (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In the paper the estimation of sample median bias and variance by jackknife and bootstrap methods are considered. Monte Carlo analysis of properties of estimators is presented (mean of bias and mean of variance for some ...
    • Analysis of Linear Regression Model at Divided System Matrix 

      Budka, Anna; Wagner, Wiesław (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In this study problems connected with the detection of influential observations are investigated in the linear regression model using the least squares estimation of structural parameters. This issue has been presented ...
    • Jackknife Forecasts of Time Series 

      Wywiał, Janusz; Żądło, Tomasz (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In the paper we present the examples of forecasts of time series with seasonal fluctuations. Based on the jackknife method we estimate variances of seasonal factors and the MSE of prediction. Jackknife method has been ...
    • Introduction 

      Domański, Czesław; Pekasiewicz, Dorota (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
    • Multiple Additive Regression Trees (MART) and their Application 

      Trzęsiok, Joanna (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      Multiple additive regression trees MART is a methodology for trying to solve prediction problems in regression and classification. It’s one of the boosting methods. It was introduced by J. H. Friedman (1999a). Besides ...
    • On the Application of Classification Trees to Analyze Customer Loyalty and Satisfaction 

      Michalak, Jarosław (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      It became more important to recognize customer expectations and to oiler product properties, which convince customer to buy the analyzed product. In customer loyalty and satisfaction analysis methods, classification trees ...
    • GARCH Models of Time Series on DAM 

      Ganczarek, Alicja (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In this paper an analysis of the time series on the Day Ahead Market (DAM) of the Polish Power Exchange is presented. In this analysis Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models are used to ...
    • Multiple Endpoints 

      Parys, Dariusz (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In ANOVA we are mainly based on inter-treatment comparisons. Another common problems arising in biometric studies (especially in biomedical studies) is that of comparing two groups of patients (treatment and a control ...
    • Methods of Classification Error Decompositions and their Properties 

      Rozmus, Dorota (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      The idea of error decomposition originates in regression where squared loss function is applied. More recently, several authors have proposed corresponding decompositions for classification problem, where 0-1 loss is ...
    • Joint Monitoring of the Mean, Dispersion and Asymmetry in Process Control 

      Kończak, Grzegorz (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In this paper the quadratic form of sample mean, sample variance and sample asymmetry is considered. This quadratic form can be used for testing hypothesis on the expected value, variance and asymmetry of observed variable. ...
    • Multivalued Markov Processes 

      Trzpiot, Grażyna (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      Multivalued random variables and stochastic processes can be use in integral geometry, mathematical economics or stochastic optimization. Using the methods of selection operators we can give the selection characterization ...
    • Discrimination of Symbolic Objects 

      Dudek, Andrzej (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      Symbolic Data Analysis is an extension of multivariate analysis dealing with data represented in an extended form. Each cell in symbolic data table (symbolic variable) can contain data in form of single quantitative ...
    • Sequential Tests with Power Equal to 1 for Chosen Location Parameters 

      Pekasiewicz, Dorota (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      We often verify hypotheses about random variable distribution parameters, when the variable distribution is unknown. In these cases we apply nonparametric tests, in particular nonparametric sequential tests. This paper ...
    • About Phase Transitions in Kendall’s Shape Space 

      Kosiorowski, Daniel (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In our article, we discuss the choice of space shape, appropriate for describing an economic process and analyze usefulness of the metrics proposed by I. L. Drуden and K. V. Merida (1998). We introduce and interpret the ...
    • The Rough Sets Approach to Multicriteria EU ’s Countries Classification Problem Based on Dominance Relation - the Probabilistic Characteristics of Decision Rules 

      Gruszka, Iwona (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      The rough sets theory was introduced by Z. Pawlak (1982). The mathematical base on rough sets approach is a binary relation on universe of objects. In the classic rough sets theory there is an indiscemibility relation. ...
    • Kriging - A Method of Statistical Interpolation of Spatial Data 

      Kowalik, Jan (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In analyses of spatial phenomena it can sometimes be impossible or very expensive to obtain the value (realization) of a studied phenomenon at all its locations because of practical constraints. Then in order to estimate ...
    • Feature Selection and Multiple Model Approach in Discriminant Analysis 

      Gatnar, Eugeniusz (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      Significant improvement of model stability and prediction accuracy in classification and regression can be obtained by using the multiple model approach. In classification multiple models are built on the basis of training ...
    • Verification of Hypotheses Concerning Parameters of the Regression Model for Complex Samples 

      Domański, Czesław (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      The paper considers the linear regression function y = βx + ε, where β is a vector of unknown parameters and ε is a rest component. In case of complex samples some modifications of test statistics should be made. Results ...
    • Some Nonparametric Estimators of Regression Function 

      Baszczyńska, Aleksandra ORCID (Wydawnictwo Uniwersytetu Łódzkiego, 2007)
      In the paper some nonparametric estimators of regression function are studied: Nadaraya-Watson estimator and k-nearest neighbour one. Properties of these estimators and possibilities of using them in practice are taken ...