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Результат поиска |
Поиск книг, содержащих: Quantile
Книга | Страницы для поиска | Sornette D. — Critical phenomena in natural sciences | | Манзон Б.М. — Maple V power edition | 120 | Shorack G.R. — Probability for statisticians | 110, 112, 282, 286 | Devroye L. — Generation of non-uniform random variates | 5 | Föllmer H., Schied A. — Stochastic finance | 179, 304 | von Collani E., Drager K. — Binomial Distribution Handbook for Scientists and Engineers | 22 | Ferguson T.S. — Mathematical Statistics. A Decision Theoretic Approach | 51 | Honerkamp J. — Statistical Physics | 22 | Resnick S.I. — A probability path | 178, 279 | Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory | 20 | McMano D., Topa D.M. — A Beginner's Guide to Mathematica | 597 | Galwey N.V. — Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance | 33, 107, 298 | Makarov B.M. — Selected Problems in Real Analysis | 112 | Borovkov A.A. — Mathematical statistics | 7 | Krause A., Olson M. — The basics of S-plus | 182, 183, 186, 257 | Bernardo J.M., Smith A.F.M. — Bayesian Theory | 112, 257, 370 | Meeker W.Q., Escobar L. — Statistical Methods for Reliability Data | 31, 77 (see also “Distribution”) | Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods | 31 | Kenzel W., Reents G., Clajus M. — Physics by Computer | 26 | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 399 | Bowman A.W., Azzalini A. — Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations | 59 | Petrov V.V. — Limit theorems of probability theory | 9, 50 | Devroye L. — Non-Uniform Random Variate Generation | 5 | Mason R.L., Gunst R.F., Hess J.L. — Statistical Design and Analysis of Experiments, with Applications to Engineering and Science | 159 | Rektorys K. — Survey of Applicable Mathematics.Volume 2. | II 700 | Rice J.A. — Mathematical statistics and data analysis | 47 | Honerkamp J. — Statistical physics: an advanced approach with applications | 22 |
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