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  1. 1
  2. 2

    A practical guide to heavy tails : statistical techniques and applications

    Boston : Birkhäuser, 1998
    Format: Book


  3. 3

    Gaussian free field and conformal field theory by Kang, Nam-Gyu, Makarov, Nikolai G.

    Paris : Société mathématique de France, 2013
    Format: Book


  4. 4

    The multivariate normal distribution by Tong, Y. L. (Yung Liang), 1935-

    New York : Springer-Verlag, 1990
    Format: Book


  5. 5

    Multidimensional Gaussian distributions by Miller, Kenneth S.

    New York : Wiley, 1964
    Format: Book


  6. 6

    Maximum likelihood estimation of the parameters of a bivariate Gaussian-Weibull distribution from machine stress-rated data

    Madison, WI. : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2016
    Format: Government Document Book


  7. 7

    A random distribution reacting mixing layer model by Jones, Richard A.

    [Washington, DC] : [Springfield, Va.] : National Aeronautics and Space Administration ; [National Technical Information Service, distributor], 1994
    Format: Government Document Book


  8. 8

    An efficient algorithm for generating random number pairs drawn from a bivariate normal distribution by Campbell, C. Warren

    Washington, D.C. : [Springfield, Va.] : National Aeronautics and Space Administration, Scientific and Technical Information Branch ; [For sale by the National Technical Information Service], 1983
    Format: Government Document Book


  9. 9

    Treasures inside the bell : hidden order in chance by Puente Angulo, Carlos Enrique

    Singapore ; River Edge, N.J. : World Scientific, 2003
    Format: Book


  10. 10

    A method for obtaining radial distributions from optical measurements on cylindrical plasmas by Brooks, W. B.

    Albuquerque, New Mexico : Sandia Corporation, 1963
    Format: Government Document Book


  11. 11

    Uses of the table of the circular coverage function by Steck, George Powell, 1925-

    [Albuquerque, New Mexico] : Washington, D.C. : Sandia Corporation ; Available from the Office of Technical Services, Department of Commerce, 1958
    Format: Government Document Book


  12. 12

    Handbook of the normal distribution by Patel, Jagdish K.

    New York : M. Dekker, 1982
    Format: Book


  13. 13

    Comparison of the 1982 SEADEX dispersion data with results from a number of different models

    Washington, DC : Division of Engineering Safety, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1987
    Format: Government Document Book


  14. 14

    An equation for one-sided tolerance limits for normal distributions by Link, Carol L.

    [Madison, Wis.] : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 1985
    Format: Government Document Book


  15. 15

    Statistical properties of the generalized inverse Gaussian distribution by Jørgensen, Bent

    New York : Springer-Verlag, 1982
    Format: Book


  16. 16

    Asymptotically efficient estimation of a bivariate Gaussian-Weibull distribution and an introduction to the associated pseudo-truncated Weibull

    Madison, Wis. : U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2012
    Format: Government Document Book


  17. 17

    Least-squares fitting of a Gaussian function and evaluation of the errors of the coefficients by Mitchell, Richard

    Berkeley, Ca. : Oak Ridge, Tn. : [Lawrence] Radiation Laboratory. ; Technical Information Division, 1954
    Format: Government Document Book


  18. 18

    Gaussian Hilbert spaces by Janson, Svante

    Cambridge, U.K. ; New York : Cambridge University Press, 1997
    Format: Book


  19. 19

    A random distribution reacting mixing layer model

    [Washington, DC] : [Springfield, Va.] : National Aeronautics and Space Administration ; [National Technical Information Service, distributor], 1994
    Format: Government Document Book


  20. 20

    The normal distribution : characterizations with applications by Bryc, Wlodzimierz

    New York : Springer-Verlag, 1995
    Format: Book