Книги з теми "Distribution des applications"
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Mentzer, John T. Computer applications in distribution. Bradford: MCB University Press, 1986.
Schnekenburger, Thomas. Dynamic load distribution for parallel applications. Stuttgart: Teubner, 1997.
Bryc, Wlodzimierz. The normal distribution: Characterizations with applications. New York: Springer-Verlag, 1995.
Schnekenburger, Thomas, and Georg Stellner, eds. Dynamic Load Distribution for Parallel Applications. Wiesbaden: Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-663-01522-2.
Burke, James J. Power distribution engineering: Fundamentals and applications. New York: M. Dekker, 1994.
Consul, P. C. Generalized Poisson distributions: Properties and applications. New York: M. Dekker, 1989.
Kotz, Samuel. Models and Applications. 2nd ed. New York, USA: Wiley-Interscience, 2000.
Gine, Evarist. Stochastic Inequalities and Applications. Basel: Birkhäuser Basel, 2003.
Seshadri, V. The inverse Gaussian distribution: Statistical theory and applications. New York: Springer, 1999.
Barndorff-Nielsen, Ole E. Lévy Processes: Theory and Applications. Boston, MA: Birkhäuser Boston, 2001.
Ibragimov, I. A., N. Balakrishnan, and Valery B. Nevzorov. Asymptotic methods in probability and statistics with applications. New York: Springer Science+Business Media, 2001.
Krishnamoorthy, K. Handbook of statistical distributions with applications. Boca Raton, FL: Chapman & Hall/CRC, 2005.
Drmota, Michael. Sequences, discrepancies, and applications. Berlin: Springer, 1997.
Cardoso, Ana Isabel. Stochastic Analysis and Applications in Physics. Dordrecht: Springer Netherlands, 1994.
Galambos, János. Bonferroni-type inequalities with applications. New York: Springer, 1996.
Galambos, János. Bonferroni-type inequalities with applications. New York: Springer, 1996.
Chhikara, Raj S. The inverse Gaussian distribution: Theory, methodology, and applications. New York: M. Dekker, 1989.
Chowdhury, Ali A., and Ali A. Chowdhury. Power distribution system reliability: Practical methods and applications. Hoboken: John Wiley & Sons, 2009.
Chowdhury, Ali A. Power distribution system reliability: Practical methods and applications. Hoboken: John Wiley & Sons, 2009.
Elsholtz, Christian, and Peter Grabner, eds. Number Theory – Diophantine Problems, Uniform Distribution and Applications. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55357-3.
Dharmadhikari, S. W. Unimodality, convexity, and applications. Boston: Academic Press, 1988.
Neyman, Abraham. Stochastic Games and Applications. Dordrecht: Springer Netherlands, 2003.
Paun, Mihaela. Measures of economic inequality: Statistical inequality with applications. Choudrant, La: SBEB Pub., 2008.
Steele, J. Michael. Stochastic Calculus and Financial Applications. New York, NY: Springer New York, 2001.
David, Pollard. Empirical processes: Theory and applications. Hayward, Calif: Institute of Mathematical Statistics, 1990.
Jing, B. Y. Saddlepoint approximations in bootstrap applications. Toronto, Ont: University of Toronto, Department of Statistics, 1993.
Srinivasan, Rajan. Importance Sampling: Applications in Communications and Detection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.
Chen, Tuhao. Multivariate Bonferroni-type inequalities: Theory and applications. Boca Raton: CRC Press, Taylor & Francis Group, 2015.
Liptser, Robert S. Statistics of Random Processes: II. Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.
Albeverio, Sergio. Stochastic Processes and their Applications: In Mathematics and Physics. Dordrecht: Springer Netherlands, 1990.
Goutsias, John. Random Sets: Theory and Applications. New York, NY: Springer New York, 1997.
Charles, Stein, Louis H. Y. Chen, and A. D. Barbour. Stein's method and applications. Singapore: Singapore University Press, 2005.
Shorack, Galen R. Empirical processes with applications to statistics. Philadelphia: Society for Industrial and Applied Mathematics, 2009.
Shorack, Galen R. Empirical processes with applications to statistics. New York: Wiley, 1986.
Shorack, Galen R. Empirical processes with applications to statistics. Philadelphia: Society for Industrial and Applied Mathematics, 2009.
Shorack, Galen R. Empirical processes with applications to statistics. Philadelphia: Society for Industrial and Applied Mathematics, 2009.
Nikias, Chrysostomos L. Signal processing with alpha-stable distributions and applications. New York: Wiley, 1995.
Willmot, Gordon E. Lundberg approximations for compound distributions with insurance applications. New York: Springer, 2001.
Swishchuk, Anatoly. Random Evolutions and their Applications: New Trends. Dordrecht: Springer Netherlands, 2000.
Breysse, D. Probabilities and Materials: Tests, Models and Applications. Dordrecht: Springer Netherlands, 1994.
El, Kinani Abdellah, and Mohamed Oudadess. Distribution Theory and Applications. World Scientific Publishing Co Pte Ltd, 2010.
Balakrishnan, K. Exponential Distribution: Theory, Methods and Applications. CRC Press LLC, 2019.
Bryc, Wlodzimierz. The Normal Distribution: Characterizations with Applications. Springer, 2011.
Balakrishnan, K. Exponential Distribution: Theory, Methods and Applications. CRC Press LLC, 2019.
A, Johnston, Friend H, and Jet Propulsion Laboratory (U.S.), eds. Distribution automation applications of fiber optics. Pasadena, Calif: Jet Propulsion Laboratory, California Institute of Technology, 1989.
Balakrishnan, K. Exponential Distribution: Theory, Methods and Applications. CRC, 1996.
Lognormal distributions: Theory and applications. New York: M. Dekker, 1988.
Miller, Steven J. Benford's Law: Theory and Applications. Princeton University Press, 2015.
Miller, Steven J. Benford's Law: Theory and Applications. Princeton University Press, 2015.
Handbook of beta distribution and its applications. New York: Marcel Dekker, 2004.