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    Wyświetlanie 1-5 z 5
    Tytuł:
    Characterizing The SINR in Poisson Network Using Factorial Moment
    Autorzy:
    Fadoul, Moubachir Madani
    Ngah, Razali
    Moradi, Alireza
    Powiązania:
    https://bibliotekanauki.pl/articles/227077.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    heterogeneous network
    stochastic geometry
    factorial moment
    coverage probability
    Opis:
    Usually, cellular networks are modeled by placing each tier (e.g macro, pico and relay nodes) deterministically on a grid. When calculating the metric performances such as coverage probability, these networks are idealized for not considering the interference. Overcoming such limitation by realistic models is much appreciated. This paper considered two- tier twohop cellular network, each tier is consisting of two-hop relay transmission, relay nodes are relaying the message to the users that are in the cell edge. In addition, the locations of the relays, base stations (BSs), and users nodes are modeled as a point process on the plane to study the two hop downlink performance. Then, we obtain a tractable model for the k-coverage probability for the heterogeneous network consisting of the two-tier network. Stochastic geometry and point process theory have deployed to investigate the proposed two-hop scheme. The obtained results demonstrate the effectiveness and analytical tractability to study the heterogeneous performance.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 4; 611-617
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On two confidence intervals for the correlation coefficient
    O dwóch przedziałach ufności dla współczynnika korelacji
    Autorzy:
    Tarasinska, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/9709.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Przyrodniczy w Lublinie. Katedra Zastosowań Matematyki i Informatyki
    Tematy:
    correlation coefficient
    interval estimation
    coverage probability
    confidence interval length
    Źródło:
    Colloquium Biometricum; 2008, 38
    1896-7701
    Pojawia się w:
    Colloquium Biometricum
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Poisson Weighted Ishita Distribution: Model for Analysis of Over-Dispersed Medical Count Data
    Autorzy:
    Para, Bilal Ahmad
    Jan, Tariq Rashid
    Powiązania:
    https://bibliotekanauki.pl/articles/1058917.pdf
    Data publikacji:
    2020-09-04
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    compounding model
    coverage probability
    simulation
    count data
    epileptic seizure counts
    Opis:
    A new over-dispersed discrete probability model is introduced, by compounding the Poisson distribution with the weighted Ishita distribution. The statistical properties of the newly introduced distribution have been derived and discussed. Parameter estimation has been done with the application of the maximum likelihood method of estimation, followed by the Monte Carlo simulation procedure to examine the suitability of the ML estimators. In order to verify the applicability of the proposed distribution, a real-life set of data from the medical field has been analysed for modeling a count dataset representing epileptic seizure counts.
    Źródło:
    Statistics in Transition new series; 2020, 21, 3; 171-184
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison of confidence intervals for variance components in an unbalanced one-way random effects model
    Autorzy:
    Jiratampradab, Arisa
    Supapakorn, Thidaporn
    Suntornchost, Jiraphan
    Powiązania:
    https://bibliotekanauki.pl/articles/2156992.pdf
    Data publikacji:
    2022-12-15
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    variance components
    unbalanced one-way random effects model
    pivotal quantity
    fiducial inference
    coverage probability
    Opis:
    The purpose of this paper is to study and compare the methods for constructing confidence intervals for variance components in an unbalanced one-way random effects model. The methods are based on a classical exact, generalised pivotal quantity, a fiducial inference and a fiducial generalised pivotal quantity. The comparison of criteria involves the empirical coverage probability that maintains at the nominal confidence level of 0.95 and the shortest average length of the confidence interval. The simulation results show that the method based on the generalised pivotal quantity and the fiducial inference perform very well in terms of both the empirical coverage probability and the average length of the confidence interval. The classical exact method performs well in some situations, while the fiducial generalised pivotal quantity performs well in a very unbalanced design. Therefore, the method based on the generalised pivotal quantity is recommended for all situations.
    Źródło:
    Statistics in Transition new series; 2022, 23, 4; 149-160
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An estimation method of message receiving probability for a satellite automatic identification system using a binomial distribution model
    Autorzy:
    Seta, T.
    Matsukura, H.
    Aratani, T.
    Tamura, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/135202.pdf
    Data publikacji:
    2016
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    satellite AIS
    recognition/detection probability
    missing rate
    coverage
    statistical binomial distribution model
    Opis:
    Automatic identification system (AIS) data are used to analyze vessels’ positions or maritime traffic. Recently, satellites are being adopted for gathering AIS data (satellite AIS). A satellite AIS can gather AIS data from all over the world, including the center of the ocean. However, because a satellite moves around the world every day, there is a very short window of time that the satellite can receive signals from some specific area. Furthermore, because a satellite AIS receives signals simultaneously from a wider area than a terrestrial AIS does, the satellite AIS has lower rate of signal reception, especially near vessel congested areas. This may cause many unrecognized vessels. For this situation, this paper proposes a new method to estimate the number of unrecognized vessels based on a binomial distribution model. With this method, we are able to estimate the number of unrecognized vessels just from satellite AIS data themselves.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2016, 46 (118); 101-107
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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