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Электронная библиотека
механико-математического факультета
Московского государственного университета
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| Результат поиска |
Поиск книг, содержащих: Bootstrap
| Книга | Страницы для поиска | | Воройский Ф.С. - Информатика. Новый систематизированный толковый словарь | 78, 377 | | Khosrowpour M. - Encyclopedia Of Information Science And Technology | 386 | | Shorack G.R. - Probability for statisticians | 274, 277, 388, 432 | | Gomez C., Ruiz-Altaba M., Sierra G. - Quantum Groups in Two-Dimensional Physics | 29-32 | | Sobell M.G. - A Practical Guide to Red Hat Linux | | | Di Francesco P., Mathieu P., Senechal D. - Conformal field theory | 185 | | Haerdle W., Simar L. - Applied multivariate statistical analysis | 148 | | Heyde C.C. - Quasi-likelihood and its application: a general approach to optimal parameter estimation | 9, 210 | | Good P.I., Hardin J.W. - Common Errors in Statistics : (and How to Avoid Them) | 49, 70, 90, 152, 173 | | Sobell M.G., Seebach P. - A Practical Guide to UNIXR for Mac OSR X Users | | | Donaldson K., Kronheimer P.B. - Geometry of Four-Manifolds | 57, 61, 166 | | Hox J. - Multilevel analysis: techniques and applications | 201, 207 | | Terry P.D. - Compliers and Compiler Generators: An Introduction With C++ | 2, 20, 22, 62 | | Morris B., Davies Ch., Day W. - The Symbian OS Architecture Sourcebook: Design and Evolution of a Mobile Phone OS | 298, 487-488 | | Kolassa J.E. - Series Approximation Methods in Statistics | 49 | | Resnick S.I. - Heavy-Tail Phenomena: Probabilistic and Statistical Modeling | 184, 247 | | Hastie T., Tibshirani R., Friedman J. - The Elements of Statistical Learning Data Mining, Inference and Prediction | 217, 225-228, 231, 234-246 | | Wolter K.M. - Introduction to Variance Estimation | 194-217 | | Lawless J.F. - Statistical Models and Methods for Lifetime Data | 90, 258, 557-560 | | Weickert J. - Visualization and Processing of Tensor Fields: Proceedings of the Dagstuhl Workshop | 111 | | Fukunaga K. - Introduction to Statistical Pattern Recognition | 238 | | Bach M.J. - The design of the UNIX operating system | 24, 235 | | Pate S. - UNIX internals | 97-108 | | Michie D., Spiegelhalter D.J., Taylor C.C. - Machine learning, neural and statistical classification | 107-109 | | Friedman J., Hastie T., Tibshirani R. - The Elements of Statistical Learning | 217, 225-228, 231, 234-246 | | Haake F. - Quantum signatures of chaos | 304-311, 316 | | Bernardo J.M., Smith A.F.M. - Bayesian Theory | 371, see also "Bayesian, bootstrap" | | Brookshear J.G. - Computer Science: An Overview | 145 | | Meeker W.Q., Escobar L. - Statistical Methods for Reliability Data | 204-227 | | Balian R. - From Microphysics to Macrophysics: Methods and Applications of Statistical Physics (vol. 1) | 412 | | Balakrishnan N., Kannan N. - Advances in Ranking and Selection, Multiple Comparisons, and Reliability | 17 | | Bowman A.W., Azzalini A. - Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations | 44, 45, 82, 83, 100, 104-106, 116, 121, 170, 172, 173 | | Maritz J.S., Lwin T. - Empirical Bayes Methods With Applications (Chapman & Hall/CRC Monographs On Statistics & Applied Probability) | 131, 164, 203 | | Efron B. - Large-Scale Inference. Empirical Bayes Methods for Estimation, Testing, and Prediction | 113, 115, 138-140 | | Nelson W.B. - Recurrent events data analysis for product repairs, disease recurrences, and other applications | 75 | | Balakrishnan N. (ed.), Rao C.R. (ed.) - Order Statistics - Theory and Methods | 348, 362, 368, 441, 443-445, 453-, 456, 466, 480, 488, 507, 595 | | Wilkinson L., Wills G., Rope D. - The Grammar aof Graphics | 464 | | Little R.J.A., Rubin D.B. - Statistical analysis with missing data | 71, 265 | | Efron B., Tibshirani R. - An introduction to bootstrap | 46 | | Zamolodchikov A.A., Zamolodchikov Al.B. - Conformal field theory and critical phenomena in two-dimensional systems | 269, 272-273, 275, 317, 324 | | Kotz S. - Breakthroughs in Statistics (volume 3) | 483, 484 | | Tauxe L. - Paleomagnetic principles and practice | 140 | | Efron B. - Large-Scale Interference. Empirical Bayes Methods for Estimation, Testing, and Prediction | 113, 115, 138-140 | | van Dijk N. - Handbook of Statistics 16: Order Statistics: Theory & Methods | 348, 362, 368, 441, 443-445, 453-456, 466, 480, 488, 507, 595 | | Adams N.M. (ed.), Crowder M. (ed.), Hand D.J. (ed.) - Methods and Models in Statistics: In Honour of Professor John Nelder, FRS | 29, 36 | | Marmanis H., Babenko D. - Algorithms of the intelligent web | 222, 257 | | Gelman A., Carlin J.B., Stern H.S. - Bayesian data analysis | 251 | | Pearson R.K. - Mining imperfect data: dealing with contamination and incomplete records | 208, 210 | | Brookshear J. - Computer Science | 145 | | Avseth P., Mukerji T. - Quantitative seismic interpretation. Applying rock physics tools to reduce interpretation risk | 141 | | Maltoni D., Maio D., Jain A.K. - Handbook of fingerprint recognition | 22 | | Kotz S., Johnson N.L. - Breakthroughs in Statistics: Volume 2: Methodology and Distribution | 565, 569 | | Forschaw J.R., Ross D.A. - Quantum chromodynamics and the pomeron | 8, 74, 106 | | Воройский Ф.С. - Информатика. Энциклопедический словарь-справочник: введение в современные информационные и телекоммуникационные технологии в терминах и фактах | 350 | | Lemm J.C. - Bayesian field theory | 67, 185, 189, 209, 292 | | Brown L., Dresden M., Hoddeson L. - Pions to quarks: Particle physics in the 1950s | 30, 582, 606, 630, 652, 663, 701, 704, 710 | | Rice J.A. - Mathematical statistics and data analysis | 252 | | Ripley B.D. - Stochastic Simulation | 4, 174ff | | Maddala G.S. (ed.), Rao C.R. (ed.) - Robust Inference | 71, 107, 268, 286, 288, 420, 430, 434, 530, 538, 667 | | Clarke C.L.A., Cormack G.V. - Information Retrieval: Implementing and Evaluating Search Engines | 424 |
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