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Ïîèñê êíèã, ñîäåðæàùèõ: Exponential distribution
| Êíèãà | Ñòðàíèöû äëÿ ïîèñêà | | Sornette D. — Critical phenomena in natural sciences | | | Apostol T.M. — Calculus (vol 2) | 533 | | Soong T.T. — Fundamentals of probability and statistics for engineers | 45, 78, 215—219, 236 | | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 341.D, App. A, Table 22 | | Allen R.L., Mills D.W. — Signal analysis. Time, frequency, scale and structure | 89 | | Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 151, 162, 193 | | Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 41, 121, 125 | | Felinger A. — Data analysis and signal processing in chromatography | 16 | | Lindsey J.K. — Applying generalized linear models | 5, 20, 21, 23, 25, 51, 53, 113, 114, 116, 117, 122, 124, 125, 199 | | Clote P., Backofen R. — Computational Molecular Biology | 30, 33—34 | | Bailey N.T.J. — The Elements of Stochastic Processes With Applications to the Natural Sciences. | see Negative exponential distribution | | Govindarajulu Z. — Sequential Statistics | 44 | | Dill K.A., Bromberg S. — Molecular Driving Forces: Statistical Thermodynamics in Chemistry and Biology | 23, 86 | | Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics | 81 | | Ferguson T.S. — Mathematical Statistics. A Decision Theoretic Approach | 101, 180, 255, 327, 349 | | Kolassa J.E. — Series Approximation Methods in Statistics | 29, 128 | | Lam Y. — Geometric Process and Its Applications | 4 | | Fogiel M. — The Operations Research Problem Solver | 13—6 to 13—9 | | Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions | 39, 113, 114, 117, 157—167, 169, 170, 174, 175, 177, 179, 180, 186, 187, 189, 192, 194, 229, 230, 235, 236, 269, 271 | | Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists | 1052 | | Dudley R.M., Fulton W. (Ed) — Real Analysis and Probability | 315 | | Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory | 6, 18 | | Nickerson R. — Cognition and Chance The Psychology of Probabilistic Reasoning | 245 | | Lawless J.F. — Statistical Models and Methods for Lifetime Data | 17, 39, 147, 200 | | Salvatore D., Reagle D. — Statistics and econometrics | 42, 61—62 | | Khuri A.I. — Advanced calculus with applications in statistics | 20, 91, 131 | | Stone C.J.D. — Course in Probability and Statistics | 42 | | Najim K., Ikonen E., Daoud A.-K. — Stochastic processes. Estimation, optimization and analysis | 66, 96, 106, 113 | | Knuth D.E. — The art of computer programming (vol. 2 Seminumerical Algorithms) | 133, 137, 589 | | Ito K. — Encyclopedic Dictionary of Mathematics | 341.D, App. A, Table 22 | | Gnedenko B.V., Kolmogorov A.N. — Limit Distributions for Sums of Independent Random Variables | 9 | | Kakosyan A.V., Klebanov L.B., Melamed J.A. — Characterization of Distributions by the Method of Intensively Monotone Operators | 22 | | Shiryaev A.N. — Probability | 156 | | Krause A., Olson M. — The basics of S-plus | 208 | | Aven O.I., Coffman E.G., Kogan Y.A. — Stochastic Analysis of Computer Storage | 20 | | David H., Nagaraja H. — Order Statistics (Wiley Series in Probability and Statistics) | 17—18, 22, 26, 52, 142, 157 | | Feller W. — Introduction to probability theory and its applications (volume 1) | 446 | | Knuth D.E. — The art of computer programming (Vol. 2. Seminumerical algorithms) | 114, 128—133, 554 | | Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation | 620 | | Barlow R.E., Proschan F. — Mathematical Theory of Reliability | 1, 3, 4, 5, 10, 11, 15, 16, 176, 194, 224 | | Bardou F., Bouchaud J., Aspect A. — Levy statistics and laser cooling | 43, 52 | | Mitzenmacher M., Upfal E. — Probability and Computing: Randomized Algorithms and Probabilistic Analysis | 196, 205 | | Montgomery D.C. — Introduction to Statistical Quality Control | 69, 304, 458 | | Saaty T.L. — Elements of Queueing theory with applications | 38, 53, 65, 176, 201, 243 | | Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods | 32 | | Balakrishnan N., Kannan N. — Advances in Ranking and Selection, Multiple Comparisons, and Reliability | 33 | | Pope S.B. — Turbulent Flows | 44, 45 | | Billingsley P. — Probability and Measure | 191, 263, 20.25, 286, 307, 327, 331, 358, 28.5 | | Nakamura K., Harayama T. — Quantum chaos and quantum dots | 59 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 118 | | Graybill F.A. — Matrices with Applications in Statistics | 188 | | Emanuel Parzen — Stochastic processes (Classics in Applied Mathematics) | 14,15,20, 21,26, 31,33, 62,82,98,132,153,170,282, 285 | | Arwini K. — Information Geometry: Near Randomness and Near Independence | 110, 142, 144, 146 | | Roe B.P. — Probability and Statistics in Experimental Physics | (see Distributions, exponential) | | Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods | 8, 13, 14, 16, 26, 31—33, 38, 43, 45, 46, 67, 70, 77—80, 82, 86, 91, 92, 95—97, 99, 101, 102, 128, 130, 134, 152, 153, 188, 201, 216—221, 231, 233, 234, 236-, 242, 249, 251, 253, 258—272, 274, 275, 277-, 279, 282, 284, 295—299, 302, 304, 306, 307, 321—325, 327, 337, 338, 369, 403, 413, 442-, 447, 454, 458, 460, 476, 494, 516, 518—520, 527, 531, 534, 538, 545, 556, 559, 561, 644 | | Little R.J.A., Rubin D.B. — Statistical analysis with missing data | 221—222 | | Spiegel M.R. — Schaum's outline of theory and problems of probability and statistics | 119 | | Kotz S. — Breakthroughs in Statistics (volume 3) | 423 | | van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods | 8, 13, 14, 16, 26, 31-33, 38, 43, 45, 46, 67, 70, 77-80, 82, 86, 91, 92, 95-97, 99, 101, 102, 128, 130, 134, 152, 153, 188, 201, 216-221, 231, 233, 234, 236, 242, 249, 251, 253, 258-272, 274, 275, 277-279, 282, 284, 295-299, 302, 304, 306, 307, 321-325, 327, 337, 338, 369, 403, 413, 442-447, 454, 458, 460, 476, 494, 516, 518-520, 527, 531, 534, 538, 545, 556, 559, 561, 644 | | Rosenblatt M. — Random processes | 96 | | Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications | 3—5, 7—9, 11, 18—20, 22, 25, 26, 45, 47, 55, 56, 159, 161, 163, 164, 166—170, 175, 176, 185, 193, 195, 199, 202, 207, 226, 284, 287, 288, 308, 311, 318, 326, 327, 331, 340, 351, 352, 363, 381, 389, 433, 438, 439, 442, 446, 456, 460, 477, 484, 488—491, 507, 508 | | Anderson T.W. (ed.), Fang K.T. (ed.), Olkin I. (ed.) — Multivariate Analysis and Its Applications | 413 | | Ralston A., Wilf H.S. — Mathematical methods for digital computers | 255 | | Riley, Hobson — Mathematical Methods for Physics and Engineering | 1032—1033 | | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 574, 580 | | Mandel L., Wolf E. — Optical Coherence and Quantum Optics | 108 | | Gnedenko B.V., Kolmogorov A.N., Chung K.L. — Limit Distributions for Sums of Independent Random Variables. Revised Edition | 9 | | Chase R.B., Jacobs E.R. — Operations management for competitive advantage | 293, 309 | | DeGroot M.H. — Optimal statistical decisions | 39 | | Grimmett G., Welsh D. — Probability: An Introduction | 59, 60, 63, 65, 90, 96, 98, 121, 174 | | Taylor J.R. — An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements | 155, 158 | | Ash R. — Basic probability theory | see Distribution | | Bickel P., Doksum K. — Mathematical statistics | 464 | | Berger J.O. — Statistical decision theory and bayesian analysis | 560 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 2: Methodology and Distribution | 321, 536, 544 | | Percival D., Walden A. — Spectral Analysis for Physical Applications | 233 | | Cooper R.B. — Introduction to queueing theory | see "Negative-exponential distribution" | | Apostol T.M. — Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications | 533 | | Hartmann A.K., Rieger H. — Optimization Algorithms in Physics | 328 | | Peszat S., Zabczyk J. — Stochastic partial differential equations with Levy noise: An evolution equation approach | 41 | | Rice J.A. — Mathematical statistics and data analysis | 48 | | Ripley B.D. — Stochastic Simulation | 55, 59, 63, 67, 69, 87, 230 | | Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference | 201 | | Hogg R.V., Craig A.T. — Introduction to Mathematical Statistics | 133, 203 | | Nievergelt J., Farrar J.C., Reingold E.M. — Computer approaches to mathematical problems | 170 |
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