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Поиск книг, содержащих: Robbins, H.



КнигаСтраницы 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 Theory39, 51
Devroye L. — Generation of non-uniform random variates373
Rosenberger W.F., Lachin J.M. — Randomization in Clinical Trials : Theory and Practice170, 172, 188
Rao R.C. — Linear Statistical Inference and Its Applications324, 338, 380, 381,488, 489, 490, 513
Chavel I. — Isoperimetric Inequalities : Differential Geometric and Analytic Perspectives28
Lawler E.L. — Combinatorial Optimization: Networks and Matroids299
Sagan H. — Advanced Calculus of Real-Valued Functions of a Real Variable and Vector-Valued Functions of a Vector Variable549n
Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction355, 519
Brown J.R. — Philosophy of Mathematics: An Introduction to a World of Proofs and Picturessee Courant, R. and Robbins, H.
Szekely G.J. — Paradoxes in probability theory and mathematical statisticsII/10, 12, 131, n, III/7e
Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance44, 45, 51, 52, 53, 63
Finch S.R. — Mathematical constants27, 281, 363, 505
Coxeter H.S.M. — Introduction to Geometry23, 79
Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning355, 519
Berry D.A., Fristedt B. — Bandit problems3, 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 Beginners530
Bernardo J.M., Smith A.F.M. — Bayesian Theory373, 541
Arnold B.C., Balakrishnan N., Nagaraja H.N. — A First Course in Order statistics252, 266
Csiszar I., Körner J. — Information Theory: Coding Theorems for Discrete Memoryless Systems40
Simmons G.F. — Introduction to topology and modern analysis94, 338
Coxeter H.S.M., Greitzer S.L. — Geometry revisited88, 181
Bellman R. — Algorithms, graphs, and computers, Volume 62 (Mathematics in Science and Engineering)38
Gardiner A. — Discovering Mathematics: The Art of Investigation195 ff
Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods109, 111, 143, 380, 384
Rao M.M., Swift R.J. — Probability Theory With Applications100, 287
Petrov V.V. — Limit theorems of probability theory137, 231—232, 268—269, 273, 281
van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods109, 111, 143, 380, 384
Bloomfield P., Steiger W. — Least Absolute Deviations75
Bellman R.E., Dreyfus S.E. — Applied Dynamic Programming178
Bellman R.E. — Some vistas of modern mathematics: Dynamic programming, invariant imbedding, and the mathematical biosciences123
Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis150
DeGroot M.H. — Optimal statistical decisions293, 297, 331, 335, 336, 353, 365, 368, 391, 404, 405, 451, 455, 458—460
Dym H., McKean H.P. — Fourier Series and Integrals196
Lukacs E. — Characterisic functions199, 211
Devroye L. — Non-Uniform Random Variate Generation373
Berger J.O. — Statistical decision theory and bayesian analysis96, 168, 169, 178, 215, 435
Dym H., McKean H. — Fourier Series and Integrals (Probability & Mathematical Statistics Monograph)196
Davis P., Hersh R. — The Mathematical Experience8
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