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Поиск книг, содержащих: Likelihood
| Книга | Страницы для поиска | | Sornette D. — Critical phenomena in natural sciences | | | Petrie A., Sabin C. — Medical Statistics at a Glance | 109 | | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 374.J | | Jurafsky D., Martin J.H. — Speech and Language Processing | 147, 183 | | Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 6, 8, 10, 16, 25, 35, 40, 41, 53, 54, 58, 72, 83, 91, 111, 117, 118, 122, 123, 127, 129, 133, 138, 141, 142, 165, 179, 180, 184, 202, 203 | | Good P.I., Hardin J.W. — Common Errors in Statistics : (and How to Avoid Them) | 16 | | Rosenberger W.F., Lachin J.M. — Randomization in Clinical Trials : Theory and Practice | 90—91, 191—192, 221—222, 243, 245 | | Rao R.C. — Linear Statistical Inference and Its Applications | 353 | | Peebles P.Z. — Probability, random variables, and random signal principles | 9 | | Hyvarinen A. — Independent Component Analysis | 90. See also Maximum likelihood | | Clote P., Backofen R. — Computational Molecular Biology | 177—180 | | Johnson N., Kotz S., Kemp A.W. — Univariate discrete distributions | 59 | | Meisel W.S. — Computer-oriented approach to pattern recognition | 40 | | Levi I. — The enterprise of knowledge | 84, 228, 236, 289, 343—368, 423n | | Honerkamp J. — Statistical Physics | 322 | | Kyburg H.E., Teng Ch.M. — Uncertain Inference | 53, 177 | | Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice | 77, 87, 211, 460, 475 | | Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models | 53, 357, 437—439 | | Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 116 | | Lawless J.F. — Statistical Models and Methods for Lifetime Data | 49, 74, 545 | | Galwey N.V. — Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance | 294 | | Morelos-Zaragoza R.H. — The art of error-correcting coding | 85 | | Ito K. — Encyclopedic Dictionary of Mathematics | 374.J | | Takezawa K. — Introduction to Nonparametric Regression | 122, 360, 362, 416 | | Berrar D.P., Dubitzky W., Granzow M. — Practical approach to microarray data analysis | 66, 113, 121, 155, 156, 158, 249, 250—252, 284, 285 | | Santner T.J., Williams B.J., Notz W.I. — The Design and Analysis of Computer Experiments | 66, 67 | | Furui S. — Digital Speech Processing, Synthesis, and Recognition | 248, 282 | | De Finetti B. — Theory of probability (Vol. 1) | 142 | | Wallace C.S. — Statistical and Inductive Inference by Minimum Message Length | 30 | | Cercignani C. — Theory and Application of the Boltzman Equation | 98, 142 | | Tarantola A. — Inverse problem theory and methods for model parameter estimation | 12 | | Duda R.O., Hart P.E., Stork D.G. — Pattern Classification | 18 | | Kempthorne O. — Design and Analysis of Experiments, Introduction to Experimental Design, Vol. 1 | 11 | | Suykens J.A.K. — Least Squares Support Vector Machines | 12, 121 | | Petrou M., Sevilla P.G. — Image Processing: Dealing with Texture | 184 | | Shafer G., Vovk V. — Probability and finance | 192 | | Shore S.N. — The Tapestry of Modern Astrophysics | 151, 160 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 12, 29, 43, 78, 462, 506, 610 | | Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications | 91 | | Maritz J.S., Lwin T. — Empirical Bayes Methods With Applications (Chapman & Hall/CRC Monographs On Statistics & Applied Probability) | 25, 211 | | Wilkinson L., Wills G., Rope D. — The Grammar aof Graphics | 113, 455 | | Kotz S. — Breakthroughs in Statistics (volume 3) | 144 | | Efron B. — Large-Scale Interference. Empirical Bayes Methods for Estimation, Testing, and Prediction | x, 1—3, 5, 13, 74, 75, 102—104, 171, 238, 245, 246 | | Graham J., Baldock R. — Image processing and analysis. A practical approach | 114 | | Adams N.M. (ed.), Crowder M. (ed.), Hand D.J. (ed.) — Methods and Models in Statistics: In Honour of Professor John Nelder, FRS | 23, 124 | | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 9—11 | | De Finetti B. — Theory of Probability. A critical introductory treatment | 142 | | Misra J.C. — Biomathematics: Modelling and Simulation | 9, 12, 22 | | Rosenhouse J. — The Monty Hall Problem: The Remarkable Story of Math's Most Contentious Brain Teaser | 70, 159 | | Giarratano J.C., Riley G.D. — Expert Systems: Principles and Programming | 192 | | Mathews J., Walker R.L. — Mathematical methods of physics | 387 | | Jeffreys H. — Theory of probability | 29, 47, 99 | | Percus J.K. — Mathematics of genome analysis | 47, 105 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 2: Methodology and Distribution | 465, 480, 590 | | Kadane J.B. (ed.) — Robustness of Bayesian Analyses | 57, 137 | | Bates Douglas M., Watts Donald G. — Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) | 60 | | Rice J.A. — Mathematical statistics and data analysis | 254 | | Kendall M.G. — The advanced theory of statistics (vol. 1) | 176 | | Mathews J., Walker R.L. — Mathematical Methods of Physics | 387 | | von der Malsburg C., von Seelen W. — Artificial Neural Networks - ICANN 96: 6th International Conference, Bochum, Germany, July 16 - 19, 1996, Proceedings | 833 | | Honerkamp J. — Statistical physics: an advanced approach with applications | 322 |
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