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Wyszukujesz frazę "lognormal distribution" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Extended Lognormal Distribution: Properties and Applications
Autorzy:
Lahcene, Bachioua
Powiązania:
https://bibliotekanauki.pl/articles/1030771.pdf
Data publikacji:
2020
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Characteristics and Survival Function
Generating and Quantile Functions
Hazard Rate Function
Lognormal Distribution
Mixture
Model
Opis:
This paper is devoted to study a form of lognormal distributions family and introduce some of its basic properties. It presents new derivate models that find many applications will be useful for practitioners in various fields. The abstract explores some of the basic characteristics of the family of abnormal distributions and provides some practical methods for analyzing some different applied fields related to theoretical and applied statistical sciences. The proposed model allows for the improvement of the relevance of near-real data and opens broad horizons for the study of phenomena that can be addressed through the results obtained. This study is devoted to a review of fitting data, discuss distribution laws for models and describe the approaches used for parameterization and classification of models. Finally, a set of concluding observations has been developed to track the mix distributions and their adaptation mechanisms.
Źródło:
World Scientific News; 2020, 145; 16-30
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance probability distribution function for modeling visibility for free space optical link in Nigeria
Autorzy:
Ojo, Joseph Sunday
Olakunle Lawrence, Ojo
Ibitola, Gilbert Akin
Powiązania:
https://bibliotekanauki.pl/articles/1163564.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Free Space Optical
Nigeria
distribution functions
lognormal
visibility
Opis:
This paper attempt to assess the performance of the most appropriate distribution function for modeling atmospheric visibility over five selected locations (Akure, Enugu, Ikeja, Jos and Port-Harcourt) in Nigeria. The distribution functions are tested based on 5-year (2010-2014) visibility data obtained from Nigeria Meteorological Agency (NIMET). Five distribution functions are tested to determine most suitable one based on four different metric measures. The associated parameters of the most suitable fitted distribution are estimated and the trends in the characteristic of the visibility are deduced. The result shows that lognormal distribution present the best probability distribution function for modeling visibility over the selected locations. A typical result for one of the locations (Akure) show that the lognormal distribution has Root Mean Square Error (RMSE) of 0.0766 km, Mean Absolute Error (MAE) of 0.0095 km, Mean Absolute Percentage Error (MAPE) of 17.8 % and coefficient of determination (R2) of 0.87. When compared with other distribution functions, the same trend could be seen in other locations although with different values of RMSE, MAE, MAPE and R2. The location and the scale parameters for the total distribution varies seasonal-wise and are location depended. The overall result will be useful for predicting future visibility over the locations. It will also be a good tool for free space optical link design in Nigeria.
Źródło:
World Scientific News; 2018, 109; 211-234
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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