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    Wyświetlanie 1-4 z 4
    Tytuł:
    Statistical downscaling of probability density function of daily precipitation on the Polish coast
    Autorzy:
    Wójcik, R.
    Pilarski, M.
    Miętus, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/108542.pdf
    Data publikacji:
    2014
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    statistical downscaling
    canonical correlation
    precipitation totals
    probability density function
    gamma distribution
    Opis:
    The aim of this study was to recognize the possibility of downscaling probability density function (PDF) of daily precipitation by means of canonical correlation analysis (CCA). Sea level pressure (SLP) over Europe and the North Atlantic was used as a predictor. A skilful statistical model could be used to generate projections of future changes of precipitation PDF driven by GCM (General Circulation Model) simulations. Daily precipitation totals from 8 stations located on the Polish coast of the Baltic Sea covering the period 1961-2010 were used to estimate the gamma distribution parameters, and only wet days (i.e. ≥0.1mm) were taken in the analysis. The results of the Kolmogorov-Smirnov test and comparison of empirical and theoretical (gamma-distributed) quantiles proved that gamma distribution gives a reliable description of daily precipitation totals. The validation of CCA models applied to gamma parameters revealed that the reliable reconstruction of precipitation PDF is possible only for average long-term conditions. In the case of individual months/seasons the agreement between empirical and reconstructed quantiles is poor. This study shows the potential of modelling of precipitation PDF, however efforts should be made to improve model performance by establishing more reliable links between regional forcing and the variability of the gamma parameters.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2014, 2, 1; 27-36
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Derivation of Equations for a Size Distribution of Spherical Particles in Non-Transparent Materials
    Autorzy:
    Gurgul, Daniel
    Burbelko, Andriy
    Wiktor, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2056033.pdf
    Data publikacji:
    2021
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    planimetric analysis
    linear analysis
    estimation of diameter sizes distribution
    probability density function
    analiza planimetryczna
    analiza liniowa
    szacowanie rozkładu wielkości średnic
    funkcja gęstości prawdopodobieństwa
    Opis:
    This paper presents a new proposition on how to derive mathematical formulas that describe an unknown Probability Density Function (PDF3) of the spherical radii (r3) of particles randomly placed in non-transparent materials. We have presented two attempts here, both of which are based on data collected from a random planar cross-section passed through space containing three-dimensional nodules. The first attempt uses a Probability Density Function (PDF2) the form of which is experimentally obtained on the basis of a set containing two-dimensional radii (r2). These radii are produced by an intersection of the space by a random plane. In turn, the second solution also uses an experimentally obtained Probability Density Function (PDF1). But the form of PDF1 has been created on the basis of a set containing chord lengths collected from a cross-section. The most important finding presented in this paper is the conclusion that if the PDF1 has proportional scopes, the PDF3 must have a constant value in these scopes. This fact allows stating that there are no nodules in the sample space that have particular radii belonging to the proportional ranges the PDF1.
    Źródło:
    Journal of Casting & Materials Engineering; 2021, 5, 4; 53--60
    2543-9901
    Pojawia się w:
    Journal of Casting & Materials Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of a Simple Method of CMOS IC Design for Yield Optimization
    Autorzy:
    Tomaszewski, D.
    Yakupov, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/397989.pdf
    Data publikacji:
    2012
    Wydawca:
    Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
    Tematy:
    CMOS
    projektowanie pod kątem zysku
    funkcja gęstości prawdopodobieństwa
    dystrybuanta
    modelowanie statystyczne
    BPV
    symulacja SPICE
    design centering
    design for yield
    probability density function
    cumulative distribution function
    statistical modeling
    BPV method
    SPICE simulation
    Opis:
    A simple approach for CMOS integrated circuit (IC) design taking into account a process variability and oriented towards optimization of a parametric yield has been presented. Its concept is based on cumulative distribution functions of random variables representing IC performances subject to process variations. In the method it has been assumed that CMOS process statistical data are expressed in terms of so-called process parameter distributions. Thus the design centering is done via layout parameter tuning. The approach relies on maximizing the probability that random variables corresponding to IC performances remain within the performance boundaries. Also, a methodology for statistical characterization of CMOS process has been briefly described. Finally, the method operation has been illustrated using analytical and SPICE models of CMOS inverter, operational amplifier and ring oscillator.
    Źródło:
    International Journal of Microelectronics and Computer Science; 2012, 3, 3; 81-87
    2080-8755
    2353-9607
    Pojawia się w:
    International Journal of Microelectronics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ocena przydatności wybranych funkcji do modelowania rozkładu pierśnic w drzewostanach olszy czarnej (Alnus glutinosa (L.) Gaertn.)
    Evaluation of usefulness of selected functions for modeling distribution of breast height diameter in black alder stands (Alnus glutinosa (L.) Gaertn.)
    Autorzy:
    Orzeł, S.
    Pogoda, P.
    Ochał, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/988989.pdf
    Data publikacji:
    2017
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    drzewostany olszowe
    struktura grubosci
    olsza czarna
    Alnus glutinosa
    piersnice drzew
    rozklad piersnic
    rozklad teoretyczny
    aproksymacja
    modelowanie
    funkcja gestosci prawdopodobienstwa
    test Kolmogorowa-Smirnowa
    diameter at breast height
    diameter distribution
    probability density function
    kolmogorov−smirnov test
    Opis:
    We evaluated the usefulness of ten theoretical probability density functions for the approximation of the breast height diameter distributions in managed alder stands growing in the western part of the Sandomierz Basin (southern Poland). The study material consisted of measurement results for 22,530 alders obtained for 844 circular sample plots, established in 163 stands aged 6−89. In the area of particular stands, from 2 to 10 age−dependent circular sample plots sized 0.01−0.10 ha were systematically arranged. We evaluated the following theoretical probability distributions: normal (N), double normal (P−N), Johnson SB (J), Weibull (W), beta (B), Burr (Bu), gamma (G), log−normal (L−N), log−logistic (L−L) and Birnbaum−Saunders (B−S). Additionally the usefulness of the W, B, Bu, G, L−N, L−L and B−S distributions with omitted location parameter was tested. The goodness−of−fit of each probability density function was assessed based on the Kolmogorov−Smirnov statistic, the root mean square error and ranks established on their basis. It was found that DBH distribution of majority stands is characterized by right−sided asymmetry and negative kurtosis. It was showed that the best distribution for the breast height diameter structure approximation of alder stands is the Johnson SB (J) distribution. To describe the frequency of thickness, normal (N) and log−logistic (L−L) distribution should not be used. Elimination of location parameter significantly affects usefulness of probability density functions to modeling empirical distributions of breast height diameter. Gamma and Burr distributions with omitted location parameter gave the best results in description the frequency of breast height diameter. In certain situations, these distributions can also be used to describe the structure of breast height diameter of alder stands.
    Źródło:
    Sylwan; 2017, 161, 02; 101-113
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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