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Wyszukujesz frazę "multivariate regression analysis" wg kryterium: Temat

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    Wyświetlanie 1-8 z 8
    Tytuł:
    Comparison of information on sleep apnoea contained in two symmetric EEG recordings
    Autorzy:
    Prucnal, Monika A.
    Polak, Adam G.
    Powiązania:
    https://bibliotekanauki.pl/articles/220736.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    sleep apnoea detection
    EEG signal
    discrete wavelet transforms
    Hilbert transforms
    analysis of variance
    multivariate regression analysis
    Opis:
    Electroencephalogram (EEG) is one of biomedical signals measured during all-night polysomnography to diagnose sleep disorders, including sleep apnoea. Usually two central EEG channels (C3-A2 and C4-A1) are recorded, but typically only one of them are used. The purpose of this work was to compare discriminative features characterizing normal breathing, as well as obstructive and central sleep apneas derived from these central EEG channels. The same methodology of feature extraction and selection was applied separately for the both synchronous signals. The features were extracted by combined discrete wavelet and Hilbert transforms. Afterwards, the statistical indexes were calculated and the features were selected using the analysis of variance and multivariate regression. According to the obtained results, there is a partial difference in information contained in the EEG signals carried by C3-A2 and C4-A1 EEG channels, so data from the both channels should be preferably used together for automatic sleep apnoea detection and differentiation.
    Źródło:
    Metrology and Measurement Systems; 2019, 26, 2; 229-239
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Construction and analysis of mathematical models of hydrodynamic forces and moment on the ships hull using multivariate regression analysis
    Autorzy:
    Kryvyi, O.
    Miyusov, M. V.
    Powiązania:
    https://bibliotekanauki.pl/articles/2063993.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    mathematical model
    hydrodynamic forces
    ship's hull
    multivariate regression analysis
    hydrodynamic moment
    fisher's criteria
    student's criteria
    hydrodynamic characteristics
    Opis:
    To analyse the existing mathematical models of hydrodynamic forces and moment on the ship's hull and build new effective ones, an approach based on multivariate regression analysis is suggested. As factors (regressors), various dimensionless ratios of the geometric parameters of the vessel, such as length, breadth, draught, and block coefficient, were taken. When analysing existing mathematical models of hydrodynamic derivatives and building new ones, the value of the multiple correlation coefficient R and the value of standard errors were estimated. The significance of the models and the significance of all factors (regressors) included in the model were assessed using Fisher's and Student's criteria. As a result, new adequate mathematical models have been obtained for hydrodynamic constants with a high degree of correlation and an excellent level of significance of regressors.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 854--864
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classification problems based on regression models for multi-dimensional functional data
    Autorzy:
    Górecki, Tomasz
    Krzyśko, Mirosław
    Wołyński, Waldemar
    Powiązania:
    https://bibliotekanauki.pl/articles/465780.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    multivariate functional data
    functional data analysis
    multivariate functional regression
    classification
    Opis:
    Data in the form of a continuous vector function on a given interval are referred to as multivariate functional data. These data are treated as realizations of multivariate random processes. We use multivariate functional regression techniques for the classification of multivariate functional data. The approaches discussed are illustrated with an application to two real data sets.
    Źródło:
    Statistics in Transition new series; 2015, 16, 1; 97-110
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of changes in the tax burden of land plots with the use of multivariate statistical analysis methods
    Autorzy:
    Dmytrów, Krzysztof
    Gnat, Sebastian
    Powiązania:
    https://bibliotekanauki.pl/articles/424949.pdf
    Data publikacji:
    2019
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    logistic regression
    classification
    multivariate statistical analysis
    real estate mass appraisal
    Opis:
    It is believed that the ad valorem tax will increase fiscal burdens. In order to verify this statement, with the use of the Szczecin Algorithm of Real Estates Mass Appraisal, the land plots were appraised and the ad valorem tax was calculated. Next, a training set was sampled, for which the composite variable was calculated by means of three approaches: the TOPSIS method, the Generalised Distance Measure as the composite measure of development (GDM2), and the quasi-TOPSIS. They were the explanatory variables in the logistic regression model. Next, for the test set, changes of tax burden were forecasted. The aim of the research was to check the effectiveness of the presented approach for the estimation of the consequences of introducing the ad valorem tax. The results showed that all three approaches yielded similar results, but GDM2 was the best one. The main finding is that these approaches can be used in the prediction of changes in the tax burden of land plots.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 2; 33-48
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multivariate model for the assessment of risk of fetal loss in goat herds
    Autorzy:
    Czopowicz, M.
    Kaba, J.
    Szalus-Jordanow, O.
    Nowicki, M.
    Witkowski, L.
    Frymus, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/30195.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multivariate analysis
    risk assessment
    risk
    fetal loss
    goat
    herd
    abortion
    logistic regression
    Opis:
    The observational study was carried out in a population of Polish breeding goats in 2007 to determine the prevalence of fetal loss and identify risk factors contributing to its occurrence. The multivariate model allowing to predict the risk of the occurrence of fetal loss in a herd in a study population was developed. Data on the occurrence of fetal loss, as well as of 28 hypothesized risk factors were collected from goat owners using standardized questionnaire during face-to-face reviews on farms. Moreover, data on the herd-level seroprevalence of four abortifacient infections – Chlamydophila abortus, Leptospira spp., BVDV-1 and Neospora caninum – were included in the final analysis. Fetal loss was reported as occurring often in 12 of 49 goat herds (24.5%). The relationship between the hypothesized risk factors and the occurrence of fetal loss was verified in the multivariate logistic regression (α=0.05). Final analysis yielded four risk factors: regular veterinary supervision at least twice a year (OR 0.188; CI 95% 0.054 – 0.656), frequent occurrence of injuries and fractures (OR 3.172; CI 95% 1.081 – 9.310), frequent occurrence of respiratory signs in adult goats (OR 4.848; CI 95% 1.353 – 17.377) and presence of antibodies to C. abortus in a herd (OR 58.116; CI 95% 1.369 – 2466.438). The accuracy of the multivariate model was analyzed using receiver operating characteristic (ROC) curve technique. Area under the curve was 0.895 (CI 95% 0.801-0.981). For optimal cut-off value of 0.20-0.35 the multivariate model had sensitivity of 75.00% and specificity of 89.19% in predicting fetal loss in a herd.
    Źródło:
    Polish Journal of Veterinary Sciences; 2012, 15, 1
    1505-1773
    Pojawia się w:
    Polish Journal of Veterinary Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Empirical evidence on factors shaping the savings rate of Polish households
    Czynniki warunkujące zmienność stopy oszczędzania polskich gospodarstw domowych w świetle badań empirycznych
    Autorzy:
    Rószkiewicz, Małgorzata
    Powiązania:
    https://bibliotekanauki.pl/articles/424913.pdf
    Data publikacji:
    2015
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    LCH
    multilevel regression model
    multivariate correspondence analysis
    social representation of saving
    savings rate
    Opis:
    The paper aimed at identifying the effects of the coincidence of socio-economic status and the advancement of the family life cycle on the savings rate. The multilevel regression model for data from empirical surveys was used. The obtained results allow us to explain how the differentiation of the saving rate that causes a poor fit of LCH models to the observed reality occurs. Ascribed to this differentiation is the explanation that allows us to reduce the area of unpredictability of the savings rate. These results show that the social representations of saving characteristic for various socio-economic groups are crucial factors that explain the variability of the savings rate, moderating its sensitivity to the demographic factors as defined in the economic theory. Moderation leads to two different tendencies. The first occurs among the households of a relatively low status and lies in the extension of consumption along with age, and it is stronger the lower the status of the household head is. The second, completely reverse, is present among households of a relatively high social status. The contraction of the time horizon of consumption manifests among these households, and it is stronger the higher the socio-economic status of a household head is.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 4 (50); 159-169
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The TDP method of seed yield component analysis in grain legume breeding
    Autorzy:
    Golaszewski, J
    Idzkowska, M.
    Milewska, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2044235.pdf
    Data publikacji:
    1998
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    breeding population
    path analysis
    stem
    treatment factor
    multiple regression
    yield component
    grain legume
    multivariate method
    seed
    two-dimensional partitioning method
    Vicia faba
    ontogenesis
    plant height
    fruiting node
    broad bean
    fodder pea
    Pisum sativum
    Opis:
    The results of plant breeding trials with populations of fodder pea strains and broad bean hybrids were the basis of consideration on the interrelationship between some traits - the yield structure elements. Developed by Eaton, a relatively new method of yield component analysis called the two-dimensional partitioning method (TDP) was applied to analyse the data. The method, which combines multiple regression and ANOVA, allows for concise tabular presentation and simple interpretation of the distribution of traits in one direction and the sources of variance according to ANOVA model in the other direction. Additionally, the interpretation of the results was supported by such standard statistical techniques as ANOVA, simple and multiple regression and path analysis. The main components of pea yielding were plant height and the number of pods per plant. Among the analysed characters of broad bean the number of nodes with pods on the main stem, which turned out to be the determinant of broad bean yielding, might be strongly affected by environmental conditions. The number of nodes with pods might be considered a selecting character of high potential yielding of broad bean genotypes.
    Źródło:
    Journal of Applied Genetics; 1998, 39, 4; 299-308
    1234-1983
    Pojawia się w:
    Journal of Applied Genetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie metod czarnej skrzynki do prognozowania wartości wybranych wskaźników jakości ścieków dopływających do oczyszczalni komunalnej
    Black-box forecasting of selected indicator values for influent wastewater quality in municipal treatment plant
    Autorzy:
    Szeląg, B.
    Bartkiewicz, L.
    Studziński, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/236740.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Zrzeszenie Inżynierów i Techników Sanitarnych
    Tematy:
    ścieki komunalne
    modelowanie
    prognozowanie jakości ścieków metoda MARS
    metoda lasów losowych (RF)
    metoda samoorganizujących się sieci neuronowych (SOM)
    metoda drzew wzmacnianych (BT) metoda analizy składowych
    głównych (PCA)
    sewage
    modeling
    sewage quality forecasting
    MARS (multivariate adaptive regression spline)
    random forest (RF)
    self-organizing map (SOM)
    boosted trees (BT)
    principal component analysis (PCA)
    Opis:
    Prognozowanie ilości i jakości ścieków dopływających do oczyszczalni komunalnej z odpowiednim wyprzedzeniem czasowym daje możliwość optymalnego sterowania wieloma parametrami procesów oczyszczania ścieków. Dlatego prowadzi się badania mające na celu opracowanie modeli matematycznych (fizykalnych deterministycznych i operatorowych statystycznych), prognozujących zarówno ilość, jak i jakość ścieków dopływających do oczyszczalni. W artykule zbadano możliwość zastosowania prostszych modeli operatorowych do prognozowania wartości wybranych wskaźników jakości ścieków na dopływie do oczyszczalni (BZT5, zawiesiny ogólne, azot ogólny i amonowy, fosfor ogólny) jedynie na podstawie wyników pomiarów natężenia przepływu ścieków oraz – w celu porównania – na podstawie ich zmierzonych wartości. Do tego celu zastosowano metody czarnej skrzynki typu MARS oraz lasy losowe (RF). Dodatkowo przedstawiono możliwość połączenia metody lasów losowych z modelem klasyfikacyjnym (RF+SOM). Do identyfikacji danych określających zmienność wybranych wskaźników jakości ścieków zastosowano metody drzew wzmacnianych (BT) i analizy składowych głównych (PCA). Modele opracowano na podstawie wyników ciągłych pomiarów dobowych przeprowadzonych w latach 2013–2015 w oczyszczalni ścieków komunalnych w Rzeszowie.
    Forecasting the amount and quality of wastewater flowing into a treatment plant sufficiently in advance, enables effective control of numerous treatment process parameters. Therefore, mathematical (physical deterministic and time series statistical) models forecasting both the amount and quality of wastewater inflow into a sewage treatment plant are under development. In this paper, a possibility of simpler time series models application to forecasting values of selected indicators (biochemical oxygen demand (BOD5), total suspended solids (TSS), total nitrogen (TN), total phosphorus (TP) and ammonium (NH4+)) of sewage quality in the inflow into a treatment plant was investigated. The research was based solely on sewage flow rate data and – for the purpose of comparison – the actual measured indicator values. For this purpose, MARS type black-box and random forest (RF) methods were used. Also, a possibility of combining the RF method with a classification model (RF+SOM) was investigated. Boosted trees (BT) and principal component analysis (PCA) methods were applied for identification of data that determine variability of the selected sewage quality indicators. The models were developed on the basis of continuous daily measurements performed in the period of 2013–2015 in the municipal sewage treatment plant in Rzeszow.
    Źródło:
    Ochrona Środowiska; 2016, 38, 4; 39-46
    1230-6169
    Pojawia się w:
    Ochrona Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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