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Результат поиска |
Поиск книг, содержащих: Geometric distribution
Книга | Страницы для поиска | Кормен Т., Лейзерсон Ч., Ривест Р. — Алгоритмы: построение и анализ | 1244 | Кормен Т., Лейзерсон Ч., Ривест Р. — Алгоритмы: построение и анализ | 117 | Grinstead C.M., Snell J.L. — Introduction to Probability | 184 | Soong T.T. — Fundamentals of probability and statistics for engineers | 167, 184 | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 341.D, App. A, Table 22 | Devroye L. — Generation of non-uniform random variates | 487, 498 | Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 153, 221—222, 249 | Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 38 | Felinger A. — Data analysis and signal processing in chromatography | 15 | Lindsey J.K. — Applying generalized linear models | 53, 128 | Clote P., Backofen R. — Computational Molecular Biology | 28—29 | Agresti A. — An introduction to categorical data analysis | 14 | Johnson N., Kotz S., Kemp A.W. — Univariate discrete distributions | 88, 98, 147, 200, 201—203, 220—223, 240, 279, 287, 316, 322, 378, 441 | Skorokhod A.V., Prokhorov Y.V. (Ed) — Basic Principles and Applications of Probability Theory | 39 | Ferguson T.S. — Mathematical Statistics. A Decision Theoretic Approach | 95, 99, 180, 234, 327, 339 | Lam Y. — Geometric Process and Its Applications | 5 | Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions | 39, 48, 63—75, 80, 102, 166 | Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists | 1048 | Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory | 11, 18 | Shoup V.A. — Computational Introduction to Number Theory and Algebra | 142, 145 | Kelly F.P. — Reversibility and Stochastic Networks | 11 | Stone C.J.D. — Course in Probability and Statistics | 37 | Najim K., Ikonen E., Daoud A.-K. — Stochastic processes. Estimation, optimization and analysis | 108 | Knuth D.E. — The art of computer programming (vol. 2 Seminumerical Algorithms) | 136, 137, 140, 585 | Motwani R., Raghavan P. — Randomized algorithms | 10, 57, 300, 446 | Ito K. — Encyclopedic Dictionary of Mathematics | 341.D, App. A, Table 22 | Kakosyan A.V., Klebanov L.B., Melamed J.A. — Characterization of Distributions by the Method of Intensively Monotone Operators | 43 | Shiryaev A.N. — Probability | 155 | Schroeder M.R. — Schroeder, Self Similarity: Chaos, Fractals, Power Laws | 188 | Krause A., Olson M. — The basics of S-plus | 208 | David H., Nagaraja H. — Order Statistics (Wiley Series in Probability and Statistics) | 22, 32, 235 | Feller W. — Introduction to probability theory and its applications (volume 1) | 216 | Knuth D.E. — The art of computer programming (Vol. 2. Seminumerical algorithms) | 131, 132, 135, 535 (exercise 3), 549, 551 | Barlow R.E., Proschan F. — Mathematical Theory of Reliability | 17 | Kannan D. — An introduction to stochastic processes | 8 | Mitzenmacher M., Upfal E. — Probability and Computing: Randomized Algorithms and Probabilistic Analysis | 30, 62 | Montgomery D.C. — Introduction to Statistical Quality Control | 61 | Saaty T.L. — Elements of Queueing theory with applications | 40, 183 | Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods | 19 | Ash R.B., Doléans-Dade C.A. — Probability and Measure Theory | 328 | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 380, 392 | Goodman J.W. — Statistical Optics | 473 | Emanuel Parzen — Stochastic processes (Classics in Applied Mathematics) | 13, 15, 21, 132, 139, 284, 299, 303 | Maritz J.S., Lwin T. — Empirical Bayes Methods With Applications (Chapman & Hall/CRC Monographs On Statistics & Applied Probability) | 6, 30 | Gordon H. — Discrete Probability | 101, 102, 167, 181 | Roe B.P. — Probability and Statistics in Experimental Physics | (see Distributions, geometric) | Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods | 26, 231, 234, 236—242, 249, 251, 253, 259, 264, 280, 282—285, 516, 529, 548, 559 | Klyshko D.N. — Photons and nonlinear optics | 153, 157, 159 | Spiegel M.R. — Schaum's outline of theory and problems of probability and statistics | 118, 142 | van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods | 26, 231, 234, 236-242, 249, 251, 253, 259, 264, 280, 282-285, 516, 529, 548, 559 | Riley, Hobson — Mathematical Methods for Physics and Engineering | 1001 | DeGroot M.H. — Optimal statistical decisions | 36 | Grimmett G., Welsh D. — Probability: An Introduction | 25, 34, 43 | Greiner W., Neise L., Stöcker H. — Thermodynamics and statistical mechanics | 310 | Ash R. — Basic probability theory | see Distribution | Bickel P., Doksum K. — Mathematical statistics | 72, 87 | Devroye L. — Non-Uniform Random Variate Generation | 487, 498 | Berger J.O. — Statistical decision theory and bayesian analysis | 562 | Greiner W., Neise L., Stocker H. — Thermodynamics and statistical mechanics | 310 | Cooper R.B. — Introduction to queueing theory | 7, 36, 43, 63, 64, 96 | Witten I.H., Moffat A., Bell T.C. — Managing Gigabytes: Compressing and Indexing Documents and Images | 119 | Peszat S., Zabczyk J. — Stochastic partial differential equations with Levy noise: An evolution equation approach | 41 | Drmota M., Flajolet P., Gardy D. — Mathematics and computer science 3. Algorithms, trees, combinatorics and probabilities | 283 | Rice J.A. — Mathematical statistics and data analysis | 38 | Ripley B.D. — Stochastic Simulation | 77, 92 | Hogg R.V., Craig A.T. — Introduction to Mathematical Statistics | 121 |
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