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Ïîèñê êíèã, ñîäåðæàùèõ: Exponential distribution



ÊíèãàÑòðàíèöû 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 engineers45, 78, 215—219, 236
Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2341.D, App. A, Table 22
Allen R.L., Mills D.W. — Signal analysis. Time, frequency, scale and structure89
Fishman G.S. — Monte Carlo: concepts, algorithms, and applications151, 162, 193
Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation41, 121, 125
Felinger A. — Data analysis and signal processing in chromatography16
Lindsey J.K. — Applying generalized linear models5, 20, 21, 23, 25, 51, 53, 113, 114, 116, 117, 122, 124, 125, 199
Clote P., Backofen R. — Computational Molecular Biology30, 33—34
Bailey N.T.J. — The Elements of Stochastic Processes With Applications to the Natural Sciences.see Negative exponential distribution
Govindarajulu Z. — Sequential Statistics44
Dill K.A., Bromberg S. — Molecular Driving Forces: Statistical Thermodynamics in Chemistry and Biology23, 86
Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics81
Ferguson T.S. — Mathematical Statistics. A Decision Theoretic Approach101, 180, 255, 327, 349
Kolassa J.E. — Series Approximation Methods in Statistics29, 128
Lam Y. — Geometric Process and Its Applications4
Fogiel M. — The Operations Research Problem Solver13—6 to 13—9
Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions39, 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 Scientists1052
Dudley R.M., Fulton W. (Ed) — Real Analysis and Probability315
Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory6, 18
Nickerson R. — Cognition and Chance The Psychology of Probabilistic Reasoning245
Lawless J.F. — Statistical Models and Methods for Lifetime Data17, 39, 147, 200
Salvatore D., Reagle D. — Statistics and econometrics42, 61—62
Khuri A.I. — Advanced calculus with applications in statistics20, 91, 131
Stone C.J.D. — Course in Probability and Statistics42
Najim K., Ikonen E., Daoud A.-K. — Stochastic processes. Estimation, optimization and analysis66, 96, 106, 113
Knuth D.E. — The art of computer programming (vol. 2 Seminumerical Algorithms)133, 137, 589
Ito K. — Encyclopedic Dictionary of Mathematics341.D, App. A, Table 22
Gnedenko B.V., Kolmogorov A.N. — Limit Distributions for Sums of Independent Random Variables9
Kakosyan A.V., Klebanov L.B., Melamed J.A. — Characterization of Distributions by the Method of Intensively Monotone Operators22
Shiryaev A.N. — Probability156
Krause A., Olson M. — The basics of S-plus208
Aven O.I., Coffman E.G., Kogan Y.A. — Stochastic Analysis of Computer Storage20
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 Simulation620
Barlow R.E., Proschan F. — Mathematical Theory of Reliability1, 3, 4, 5, 10, 11, 15, 16, 176, 194, 224
Bardou F., Bouchaud J., Aspect A. — Levy statistics and laser cooling43, 52
Mitzenmacher M., Upfal E. — Probability and Computing: Randomized Algorithms and Probabilistic Analysis196, 205
Montgomery D.C. — Introduction to Statistical Quality Control69, 304, 458
Saaty T.L. — Elements of Queueing theory with applications38, 53, 65, 176, 201, 243
Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods32
Balakrishnan N., Kannan N. — Advances in Ranking and Selection, Multiple Comparisons, and Reliability33
Pope S.B. — Turbulent Flows44, 45
Billingsley P. — Probability and Measure191, 263, 20.25, 286, 307, 327, 331, 358, 28.5
Nakamura K., Harayama T. — Quantum chaos and quantum dots59
Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory118
Graybill F.A. — Matrices with Applications in Statistics188
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 Independence110, 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 Methods8, 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 data221—222
Spiegel M.R. — Schaum's outline of theory and problems of probability and statistics119
Kotz S. — Breakthroughs in Statistics (volume 3)423
van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods8, 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 processes96
Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications3—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 Applications413
Ralston A., Wilf H.S. — Mathematical methods for digital computers255
Riley, Hobson — Mathematical Methods for Physics and Engineering1032—1033
Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis574, 580
Mandel L., Wolf E. — Optical Coherence and Quantum Optics108
Gnedenko B.V., Kolmogorov A.N., Chung K.L. — Limit Distributions for Sums of Independent Random Variables. Revised Edition9
Chase R.B., Jacobs E.R. — Operations management for competitive advantage293, 309
DeGroot M.H. — Optimal statistical decisions39
Grimmett G., Welsh D. — Probability: An Introduction59, 60, 63, 65, 90, 96, 98, 121, 174
Taylor J.R. — An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements155, 158
Ash R. — Basic probability theorysee Distribution
Bickel P., Doksum K. — Mathematical statistics464
Berger J.O. — Statistical decision theory and bayesian analysis560
Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 2: Methodology and Distribution321, 536, 544
Percival D., Walden A. — Spectral Analysis for Physical Applications233
Cooper R.B. — Introduction to queueing theorysee "Negative-exponential distribution"
Apostol T.M. — Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications533
Hartmann A.K., Rieger H. — Optimization Algorithms in Physics328
Peszat S., Zabczyk J. — Stochastic partial differential equations with Levy noise: An evolution equation approach41
Rice J.A. — Mathematical statistics and data analysis48
Ripley B.D. — Stochastic Simulation55, 59, 63, 67, 69, 87, 230
Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference201
Hogg R.V., Craig A.T. — Introduction to Mathematical Statistics133, 203
Nievergelt J., Farrar J.C., Reingold E.M. — Computer approaches to mathematical problems170
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