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    Wyświetlanie 1-4 z 4
    Tytuł:
    Wage disparities in Poland: Econometric analysis
    Autorzy:
    Witkowska, Dorota
    Powiązania:
    https://bibliotekanauki.pl/articles/452766.pdf
    Data publikacji:
    2012
    Wydawca:
    Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
    Tematy:
    labor market
    wage disparity
    ordered multinomial logit model
    exponential regression
    Opis:
    The aim of our research is to identify determinants influencing wages in Poland in the years 2005 and 2009, and to find out if wages obtained by men and women depend on the same factors. Investigation is provided on the basis of data from the Polish Labor Force Survey, employing ordered multinomial logit models and exponential regression.
    Źródło:
    Metody Ilościowe w Badaniach Ekonomicznych; 2012, 13, 2; 115-124
    2082-792X
    Pojawia się w:
    Metody Ilościowe w Badaniach Ekonomicznych
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of genetic expression programming to optimize the parameters of the Muskingum method comparison with numerical methods, Euphrates river a case study
    Autorzy:
    Al-Bedyry, Najah
    Mergan, Maher
    Rasheed, Maha
    Al-Khafaji, Zainab
    Al-Husseinawi, Fatimah Nadeem
    Powiązania:
    https://bibliotekanauki.pl/articles/27312169.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    trasowanie rzeczne
    programowanie ekspresji genetycznej
    regresja liniowa wykładnicza
    metoda Runge – Kutta czwartego rzędu
    river routing
    genetic expression programming
    exponential linear regression
    forth-order Runge–Kutta method
    Opis:
    The Muskingham method uses two formulas to describe the translation of flow surges in a river bed. The continuity formula is the first formula, while the relationship between the reach’s storage, inflow, and outflow is the second formula (the discharge storage formula); these formulas are applied to a portion of the river between two river cross sections. Several methods can be utilized to estimate the model’s parameters. This section contrasts the conventional graphic approach with three numerical methods: Genetic algorithm, Exponential regression, and Classical fourth-order Runge-Kutta. This application’s most noticeable plus point was the need to employ a few hydrological variables, such as intake, output, and duration. The location of the Euphrates entrance to the Iraqi territory in Husaybah city was chosen with its hydrological data during the period (1993-2017) to conduct this study. The goal function is established by accuracy criterion approaches (Sum of squares error and sum of squared deviations). Depending on the simulation findings, the suggested predictive flood routing ideawas highly acceptable with the prospect of adopting the Genetic Expression Programming model as a suitable and more accurate replacement to existing methods such as the Muskingum model and other numerical models, where this method gave results (R2 = 0.9984, SSQ = 1.06, SSSD = 80.75), These results achieved a hydrograph that is largely identical to what was given by the hydrological method called Muskingham.
    Źródło:
    Archives of Civil Engineering; 2023, 69, 3; 507--519
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles
    Autorzy:
    Prasad, Shakti
    Powiązania:
    https://bibliotekanauki.pl/articles/1059039.pdf
    Data publikacji:
    2020-12-04
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Bias
    Mean square error (MSE)
    Auxiliary variable
    Relative Efficiency (%)
    Opis:
    This paper deals some linear regression type ratio exponential estimators for estimating the population mean using the known values of quartile deviation and deciles of an auxiliary variable in survey sampling. The expressions of the bias and the mean square error of the suggested estimators have been derived. It was compared with the usual mean, usual ratio (Cochran (1977)), Kadilar and Cingi (2004, 2006) and Subzar et al. (2017) estimators. After comparison, the condition which makes the suggested estimators more efficient than others is found. To verify the theoretical results, numerical results are performed on two natural population data sets.
    Źródło:
    Statistics in Transition new series; 2020, 21, 5; 85-98
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Relationship between ridge regression estimator and sample size when multicollinearity present among regressors
    Autorzy:
    Alibuhtto, M. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/1192721.pdf
    Data publikacji:
    2016
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Exponential
    Multicollinearity
    Variance Influence Factor
    Ridge Regression
    Simulation
    Opis:
    The problem of multicollinearity is the most common problem in multiple regression models as in such cases, the ordinary least squares (OLS) estimator is inaccurately estimated. Of many methods suggested to solve the problem of multicollinearity, ridge regression method is a one of popular method. In this paper, simulation data with different level of correlation coefficient were generated using Monte Carlo techniques in SAS. The level of multicollinearity was detected by correlation matrix, variance influence factor (VIF) and condition number. The biased parameter (k) of ridge regression has been computed by using iterative method for ordinary ridge regression in different sample sizes. According to the results of this study, it was found that biased parameter (k) of ridge regression and sample sizes are significantly negatively correlated at level of 5% significance. This study would helpful to develop biased parameter table for different level of sample sizes in present of multicollinearity.
    Źródło:
    World Scientific News; 2016, 59; 12-23
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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