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| Результат поиска |
Поиск книг, содержащих: Robbins, H.
| Книга | Страницы для поиска | | Клейнен Дж. — Статистические методы в имитационном моделировании (Выпуск 1) | 200 | | Клейнен Дж. — Статистические методы в имитационном моделировании (Выпуск 2) | 141, 142, 143, 146, 151, 225, 226, 247, 248, 249, 255, 263 | | Goresky M., MacPherson R. — Stratified Morse Theory | 39, 51 | | Devroye L. — Generation of non-uniform random variates | 373 | | Rosenberger W.F., Lachin J.M. — Randomization in Clinical Trials : Theory and Practice | 170, 172, 188 | | Rao R.C. — Linear Statistical Inference and Its Applications | 324, 338, 380, 381,488, 489, 490, 513 | | Chavel I. — Isoperimetric Inequalities : Differential Geometric and Analytic Perspectives | 28 | | Lawler E.L. — Combinatorial Optimization: Networks and Matroids | 299 | | Sagan H. — Advanced Calculus of Real-Valued Functions of a Real Variable and Vector-Valued Functions of a Vector Variable | 549n | | Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 355, 519 | | Brown J.R. — Philosophy of Mathematics: An Introduction to a World of Proofs and Pictures | see Courant, R. and Robbins, H. | | Szekely G.J. — Paradoxes in probability theory and mathematical statistics | II/10, 12, 131, n, III/7e | | Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance | 44, 45, 51, 52, 53, 63 | | Finch S.R. — Mathematical constants | 27, 281, 363, 505 | | Coxeter H.S.M. — Introduction to Geometry | 23, 79 | | Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 355, 519 | | Berry D.A., Fristedt B. — Bandit problems | 3, 7, 79, 82, 207, 208, 209, 210, 221, 222, 223, 226, 227, 229, 231, 232, 234, 240, 241, 242, 243, 245, 248, 249, 251, 252, 257, 258 | | Zeldovich Ya.B., Yaglom I.M. — Higher Math for Beginners | 530 | | Bernardo J.M., Smith A.F.M. — Bayesian Theory | 373, 541 | | Arnold B.C., Balakrishnan N., Nagaraja H.N. — A First Course in Order statistics | 252, 266 | | Csiszar I., Körner J. — Information Theory: Coding Theorems for Discrete Memoryless Systems | 40 | | Simmons G.F. — Introduction to topology and modern analysis | 94, 338 | | Coxeter H.S.M., Greitzer S.L. — Geometry revisited | 88, 181 | | Bellman R. — Algorithms, graphs, and computers, Volume 62 (Mathematics in Science and Engineering) | 38 | | Gardiner A. — Discovering Mathematics: The Art of Investigation | 195 ff | | Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods | 109, 111, 143, 380, 384 | | Rao M.M., Swift R.J. — Probability Theory With Applications | 100, 287 | | Petrov V.V. — Limit theorems of probability theory | 137, 231—232, 268—269, 273, 281 | | van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods | 109, 111, 143, 380, 384 | | Bloomfield P., Steiger W. — Least Absolute Deviations | 75 | | Bellman R.E., Dreyfus S.E. — Applied Dynamic Programming | 178 | | Bellman R.E. — Some vistas of modern mathematics: Dynamic programming, invariant imbedding, and the mathematical biosciences | 123 | | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 150 | | DeGroot M.H. — Optimal statistical decisions | 293, 297, 331, 335, 336, 353, 365, 368, 391, 404, 405, 451, 455, 458—460 | | Dym H., McKean H.P. — Fourier Series and Integrals | 196 | | Lukacs E. — Characterisic functions | 199, 211 | | Devroye L. — Non-Uniform Random Variate Generation | 373 | | Berger J.O. — Statistical decision theory and bayesian analysis | 96, 168, 169, 178, 215, 435 | | Dym H., McKean H. — Fourier Series and Integrals (Probability & Mathematical Statistics Monograph) | 196 | | Davis P., Hersh R. — The Mathematical Experience | 8 |
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