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    Tytuł:
    Graphical tools of discrete longitudinal data presentation in R
    Autorzy:
    Genge, Ewa
    Powiązania:
    https://bibliotekanauki.pl/articles/425116.pdf
    Data publikacji:
    2019
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    longitudinal data
    categorical sequences
    sequence visualization
    Opis:
    Good graphical presentation of data is useful during the whole analysis process from the first glimpse into the data to the model fitting and presentation of results. The most popular way of longitudinal data presentation are separate (for each wave, in cross-sectional dimension) comparisons of figures. However, plotting the data over time is useful in suggesting appropriate modeling techniques to deal with the heterogeneity observed in the trajectories. The main aim of this paper is to present the changing perceptions of the financial situation in Poland using different graphical tools for the heterogonous discrete longitudinal data sets and present demographics features for those changes. We will focus on the most important features of the categorical longitudinal data – category sequences and their graphical presentation. We aim to characterize the analyzed sequences on the basis of unidimensional indicators and composite complexity measures, as well as using mainly TraMineR [Gabadinho et al. 2017] package of R.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 3; 26-39
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On Parameter Estimation of Some Longitudinal Model
    O estymacji parametrów pewnego modelu dla danych wielookresowych
    Autorzy:
    Żądło, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/905660.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    longitudinal data
    restricted maximum likelihood
    MSE
    Opis:
    The problem of modeling longitudinal profiles is considered assuming that the population and elements’ affiliation to subpopulations may change in time. Some longitudinal model which is a special case of the general linear model (GLM) and the general linear mixed model (GLMM) is studied. In the model two random components are included under assumptions of simultaneous spatial autoregressive process (SAR) and temporal first-order autoregressive process (AR(1)) respectively. The accuracy of model parameters’ restricted maximum likelihood estimators is considered in the simulation.
    Rozważany jest problem modelowania profili wielookresowych zakładając, że populacja i przynależność elementów domen mogą zmieniać się w czasie. Proponowany model jest przypadkiem szczególnym ogólnego modelu liniowego i ogólnego mieszanego modelu liniowego. W modelu tym uwzględniono dwa wektory składników losowych spełniające odpowiednio założenia przestrzennego modelu autoregresyjnego i modelu autoregresyjnego rzędu pierwszego w czasie. W symulacji rozważano dokładność estymatorów parametrów modelu uzyskanych metodą największej wiarygodności z ograniczeniami.
    Źródło:
    Acta Universitatis Lodziensis. Folia Oeconomica; 2013, 285
    0208-6018
    2353-7663
    Pojawia się w:
    Acta Universitatis Lodziensis. Folia Oeconomica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Explaining Macro-Social Change with Archived Data: Reading against the Grain
    Autorzy:
    Gray, Jane
    Powiązania:
    https://bibliotekanauki.pl/articles/1372784.pdf
    Data publikacji:
    2019-05-14
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    social change
    qualitative longitudinal data
    secondary analysis
    families
    Ireland
    Opis:
    This article examines some of the opportunities and challenges associated with using archived qualitative data to explain macro-social change through a biographical lens. Using examples from a recent research project on family change in Ireland, I show how working across qualitative datasets provided opportunities for generating new explanations of social change by ‘reading against the grain’ of established social science narratives and tracing innovation in social practices. I also discuss some of the methodological challenges associated with working across datasets and how we addressed them in the study.
    Źródło:
    Przegląd Socjologii Jakościowej; 2019, 15, 1; 14-31
    1733-8069
    Pojawia się w:
    Przegląd Socjologii Jakościowej
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction
    Autorzy:
    Chwila, Adam
    Żądło, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/1363588.pdf
    Data publikacji:
    2020-06-05
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    survey sampling
    economic longitudinal data
    prediction for future periods
    Opis:
    Empirical Best Predictors (EBPs) are widely used for small area estimation purposes. In the case of longitudinal surveys, this class of predictors can be used to predict any given population or subpopulation characteristic for any time period, including future periods. Generally, the value of an EBP is computed by means of Monte Carlo algorithms, while its MSE is usually estimated using the parametric bootstrap method. Model-based simulation studies of the properties of the predictors require numerous repetitions of the random generation of population data. This leads to a question about the dependence between the number of iterations in all the procedures and the stability of the results. The aim of the paper is to show this dependence and to propose methods of choosing the appropriate number of iterations in practice, using a set of real economic longitudinal data available at the United States Census Bureau website.
    Źródło:
    Statistics in Transition new series; 2020, 21, 2; 35-60
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Functional principal components analysis on the example of the achievements of students in the years 2009-2017
    Autorzy:
    Sztemberg-Lewandowska, Mirosława
    Powiązania:
    https://bibliotekanauki.pl/articles/425289.pdf
    Data publikacji:
    2019
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    level of students' knowledge
    functional data
    longitudinal data
    functional principal components analysis
    Opis:
    The functional principal components analysis joins the advantages of the principal components analysis and provide analysis of dynamic data. The main difference in both methods is the type of data the PCA is based on multivariate data, whereas the FPCA on the functional data including curves and trajectories, i.e. a series of individual observations, not a single observation, as usual. The functional principal components analysis with functional data, will be used in the analysis. This method allows the analysis of dynamic data. The purpose of the article is to apply of functional principal components analysis to the problem of student’s achievements. The article was compared the level of students' knowledge during different stages of education in 2009-2017. The analysis covers the average exam results after the II, III and IV stage of education.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 4; 16-29
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On Pseudo-EBLUP Under Some Model for Longitudinal Data with Auxiliary Variables
    O predyktorze pseudo-EBLUP pewnego modelu nadpopulacji ze zmiennymi dodatkowymi dla danych wielookresowych
    Autorzy:
    Żądło, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/906851.pdf
    Data publikacji:
    2012
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    small area estimation
    pseudo-empirical best linear unbiased predictors
    longitudinal data
    Opis:
    The problem of modeling longitudinal profiles is considered assuming that the population and elements affiliation to subpopulations may change in time. The considerations are based on a model with auxiliary variables for longitudinal data with element and subpopulation specific random components (compare Verbeke, Molenberghs, 2000; Hedeker, Gibbons, 2006) which is a special case of the General Linear Model (GLM) the General Linear Mixed Model (GLMM). In the paper the pseudo-empirical best linear unbiased predictor (Pseudo-EBLUP) based on model-assisted approach will be presented along with its mean squared error (MSE) and its estimators. In the simulation study its accuracy will be compared with some calibration estimators which are based on model-assisted approach too.
    Źródło:
    Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
    0208-6018
    2353-7663
    Pojawia się w:
    Acta Universitatis Lodziensis. Folia Oeconomica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On some calibration estimators of subpopulation total for longitudinal data
    Autorzy:
    Żądło, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/657601.pdf
    Data publikacji:
    2011
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    longitudinal data
    general linear mixed model
    empirical best linear unbiased predictor
    calibration estimators
    Opis:
    The problem of modeling longitudinal profiles is considered assuming that the population and elements affiliation to subpopulation may change in time. The considerations are based on a model with auxiliary variables for longitudinal data with subject specific (in this case - element and subpopulation specific) random components (compare Verbeke, Molenberghs, 2000; Hedeker, Gibbons, 2006) which is a special case of the General Linear Mixed Model. In the paper calibration estimators of subpopulation total for data from one period are presented and some modifications for the case of longitudinal data are proposed. Design-based mean squared errors and its estimators are also presented. In the simulation study accuracy of the estimators is compared with Horvitz-Thomson estimator and the best empirical linear unbiased predictor derived for the considered model.
    Źródło:
    Acta Universitatis Lodziensis. Folia Oeconomica; 2011, 252
    0208-6018
    2353-7663
    Pojawia się w:
    Acta Universitatis Lodziensis. Folia Oeconomica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling road traffic safety indices by means of regression with panel data
    Autorzy:
    Brzozowska-Rup, Katarzyna
    Nowakowska, Marzena
    Powiązania:
    https://bibliotekanauki.pl/articles/1818982.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
    Tematy:
    longitudinal data
    road accidents
    road accident casualties
    fixed effects models
    dane longitudinalne
    wypadki drogowe
    ofiary wypadków drogowych
    Opis:
    Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group level, whereas a year is a unit analysed at a time level. A two-way error component regression model has been applied to survey the impact of regressors, the group effects, and time effects on a dependent variable. The analysis has been conducted using data acquired from the Statistics Poland Local Data Bank website, as well as from the General Directorate for National Roads and Motorways. The panel data from 16 regions in Poland and the 2012–2018 period have been investigated. The examined models refer to road traffic safety indices defined based on the following characteristics: the number of road accidents, the number road fatalities, and the number of people injured. The results of all the three models indicate a negative effect as regards the GDP per capita, (car) motorisation rate, the indicator of government expenditure for current maintenance of national roads, and the road length per capita. A positive association has been found between the truck motorisation rate and the indicator of local government expenditure on roads. The impact of the region’s urbanisation indicators on road safety is ambiguous as, on the one hand, its increase causes a reduction in the road accident and accident injury indices, but, on the other hand, it produces a rise in the accident fatality index. In the models, the significance of time effects has been identified; a decreasing time trend suggests a general improvement in road safety from year to year. Most of the group effects have turned out to be highly significant. However, the effects differ as regards both the road accident and the accident injury indices in magnitude and direction.
    Źródło:
    Engineering Management in Production and Services; 2020, 12, 4; 40--51
    2543-6597
    2543-912X
    Pojawia się w:
    Engineering Management in Production and Services
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fitting General Linear Model for Longitudinal Survey Data under Informative Sampling
    Autorzy:
    Eideh, Abdulhakeem A. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/465750.pdf
    Data publikacji:
    2010
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    General Linear Model
    Informative sampling
    Longitudinal Survey Data
    Maximum Likelihood
    Sample distribution
    Opis:
    The purpose of this article is to account for informative sampling in fitting superpopulation model for multivariate observations, and in particular multivariate normal distribution, for longitudinal survey data. The idea behind the proposed approach is to extract the model holding for the sample data as a function of the model in the population and the first order inclusion probabilities, and then fit the sample model using maximum likelihood, pseudo maximum likelihood and estimating equations methods. As an application of the results, we fit the general linear model for longitudinal survey data under informative sampling using different covariance structures: the exponential correlation model, the uniform correlation model, and the random effect model, and using different conditional expectations of first order inclusion probabilities given the study variable. The main feature of the present estimators is their behaviours in terms of the informativeness parameters.
    Źródło:
    Statistics in Transition new series; 2010, 11, 3; 90-111
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Changes in the perception of telematics technology by road transport companies: an empirical analysis in 2020-21
    Autorzy:
    Zalewski, Wojciech
    Osińska, Magdalena
    Żurek, Mirosława
    Powiązania:
    https://bibliotekanauki.pl/articles/27314069.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    Technology Acceptance Model
    TAM
    telematics
    longitudinal data
    simulation
    road transport
    decision-making in enterprise
    model akceptacji technologii
    telematyka
    dane longitudinalne
    symulacja
    transport drogowy
    podejmowanie decyzji w przedsiębiorstwie
    Opis:
    We present a novel study concerning the attitudes of road transport enterprises towards a broad application of telematics in operational management in road transportation. The study aims to assess telematics application in road transport and its changes over time while showing the factors most likely to determine the systems’ use. Unobserved categories defined in the technology acceptance model (TAM) are adjusted to measure perceived usefulness, perceived ease of use, and attitudes toward using telematics systems by road transport managers. The study is based on 323 transport enterprises analyzed in two waves in 2020 and 2021. The use of two different time points is motivated by an observed increase in the digitalization of transport documents caused by the COVID-19 pandemic. The empirical findings support the TAM’s usefulness in evaluating IT in transport business management. The findings also reveal that the significantly increased telematics use in 2020 was observed while it was endured. The results are checked for robustness and used for simulations. The study compares managers’ behaviors over time and simulates the effect of individual (observed) variables on unobserved TAM categories.
    Źródło:
    Transport Problems; 2023, 18, 1; 5--17
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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