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Поиск книг, содержащих: Information matrix
| Книга | Страницы для поиска | | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 102.I 399.D | | Haerdle W., Simar L. — Applied multivariate statistical analysis | 179 | | Hosmer D.W., Lemeshow S. — Applied survival analysis: regression modeling of time to event data | 102 | | Agresti A. — An introduction to categorical data analysis | 94, 198 | | Hamilton J.D. — Time Series Analysis | 143—44 | | Hedayat A.S., Sloane N.J.A., Stufken J. — Orthogonal Arrays: Theory and Applications | 257 | | Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice | see “Fisher information matrix” | | Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models | 458 | | Stone C.J.D. — Course in Probability and Statistics | 723 | | Verbeke G., Molenberghs G. — Linear Mixed Models for Longitudinal Data | 64, 88 | | Ito K. — Encyclopedic Dictionary of Mathematics | 102.I, 399.D | | Kumar P.R., Varaiya P. — Stochastic Systems: Estimation, Identification, and Adaptive Control | 199 | | Bernardo J.M., Smith A.F.M. — Bayesian Theory | see "Fisher information" | | Demidenko E. — Mixed Models: Theory and Applications | 81, 86, 293, 439 | | Aslrom K.J. — Introduction to Stochastic Control Theory | 196 | | Cox D.R., Snell E.J. — Analysis of Binary Data | 37, 99, 173 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 236, 604, 613 | | Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications | 11, 113, 115, 243 | | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 102, 107 | | DeGroot M.H. — Optimal statistical decisions | 216 | | Strang G. — Introduction to Applied Mathematics | 145 | | Hamilton J.D. — Time Series Analysis | 143—144 | | Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference | 352, 355, 360 |
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