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Электронная библиотека
механико-математического факультета
Московского государственного университета
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Поиск книг, содержащих: Normal distribution
| Книга | Страницы для поиска | | Kharazishvili A.B. - Strange functions in real analysis | | | Сергиенко А.Б. - Цифровая обработка сигналов | 66 | | Spiegel M.R. - Mathematical Handbook of Formulas and Tables | 189 | | Apostol T.M. - Calculus (vol 2) | 535 | | Graham R.L., Grotschel M., Lovasz L. - Handbook of combinatorics (vol. 1) | 1809, 1814 | | Hatrl D.L., Jones E.W. - Genetics: Principles and Analysis | 673-675 | | Soong T.T. - Fundamentals of probability and statistics for engineers | 107, 196-199, 236 | | Falconer K. - Fractal Geometry. Mathematical Foundations and applications | 22 | | Petrie A., Sabin C. - Medical Statistics at a Glance | 21, 26 | | Ito K. - Encyclopedic Dictionary of Mathematics. Vol. 2 | 341.D 397.D, App. A, Table 22 | | Devroye L. - Generation of non-uniform random variates | 379 | | Oksendal B. - Stochastic differential equations : an introduction with applications | 12, 291 | | Falconer K. - Fractal Geometry: Mathematical Foundations and Applications | 23, 260 | | Graham R.L., Knuth D.E., Patashnik O. - Concrete mathematics | 424 | | Harris R.J. - A primer of multivariate statistic | 9, 18, 76, 80, 353, 517 | | Fishman G.S. - Monte Carlo: concepts, algorithms, and applications | 151, 189-191, 246 | | Haerdle W., Simar L. - Applied multivariate statistical analysis | 175 | | Heyde C.C. - Quasi-likelihood and its application: a general approach to optimal parameter estimation | 4, 27, 28, 41, 55-57, 62-66, 88, 91, 105, 111, 116, 121, 129-131, 139, 156, 161, 163, 164, 166, 173 | | Good P.I., Hardin J.W. - Common Errors in Statistics : (and How to Avoid Them) | 67, 71, 145 | | Felinger A. - Data analysis and signal processing in chromatography | 8, 16, 359 | | Lindsey J.K. - Applying generalized linear models | v, vii, 1-3, 5, 7, 9, 11, 13, 18-20, 25, 27, 28, 38, 39, 44, 53, 70, 71, 93, 98, 101, 109, 150, 159, 162, 164-167, 173, 175-177, 195, 199, 205, 210, 214, 218, 219, 222-225 | | Frey B. - Statistics Hacks | | | Patton P., Jayaswal B. - Design for Trustworthy Software: Tools, Techniques, and Methodology of Developing Robust Software | | | Myers J.L., Well A.D. - Research design and statistical analysis | see Distributions | | Hull J. - Options, Futures, and Other Derivative Securities | 192 | | Matousek J. - Lectures on Discrete Geometry (some chapters) | 314, 328 | | Föllmer H., Schied A. - Stochastic finance | 78, 82, 122, 125 | | Graham R.L., Grotschel M., Lovasz L. - Handbook of combinatorics (vol. 2) | 1809, 1814 | | Stansfield W.D. - Schaums outline of genetics | 211 | | Raychaudhury S. - Computational text analysis for functional genomics and bioinformatics | 32 | | Clote P., Backofen R. - Computational Molecular Biology | 30-31 | | Helgaker T., Jorgensen P., Olsen J. - Molecular Electronic-Structure Theory. Part 2 | 821 (see also 'Distributions') | | Peters E.E. - Fractal Market Analysis: Applying Chaos Theory to Investment and Economics | 21-26, 40-41, 53, 197, 205, 310 | | Peters E.E. - Chaos and Order in the Capital Markets | 25, 27-31, 53, 102, 195, 234 | | Bollinger J. - Bollinger on Bollinger Bands | 68, 69 | | Folland J.B. - Real Analysis: Modern Techniques and Their Applications | 325 | | Agresti A. - An introduction to categorical data analysis | 73-74, 97 | | Leach A.R. - Molecular Modelling Principles and Applications | see 'Gaussian functions' | | Curtain R.F., Pritchard A.J. - Functional Analysis in Modern Applied Mathematics | 81 | | Skorokhod A.V., Prokhorov Y.V. (Ed) - Basic Principles and Applications of Probability Theory | 44, 132, 133, 162, 200, 205, 206 | | Wilmott P., Bowison S., DeWynne J. - Option Pricing: Mathematical Models and Computation | 22, 52 | | Meisel W.S. - Computer-oriented approach to pattern recognition | 42-43 | | Ferguson T.S. - Mathematical Statistics. A Decision Theoretic Approach | 101 | | Mahmoud H.M. - Evolution of random search trees | 34 | | Hamilton J.D. - Time Series Analysis | 745-746, 748-749, 751-752 | | Honerkamp J. - Statistical Physics | 10 | | Kolassa J.E. - Series Approximation Methods in Statistics | 11, 68 | | Fogiel M. - The Operations Research Problem Solver | 12-30 | | Engel K. - Sperner theory | 305 | | Balakrishnan N., Nevzorov V.B. - A Primer on Statistical Distributions | 8, 39, 53, 61, 76, 81, 91, 96, 170, 182, 188, 207, 209-235, 239-241, 246, 257, 266, 279, 282, 286 | | Polyanin A., Manzhirov A.V. - Handbook of Mathematics for Engineers and Scientists | 1053 | | Devlin K.J. - Language of Mathematics: Making the Invisible Visible | 296 | | Kohonen T. - Self-organizing maps | 12 | | Kanatani K. - Statistical Optimization for Geometric Computation: Theory and Practice | 68 | | MacNeil D.B. - Modern Mathematics for the Practical Man | 109 | | Tanigawa Y. - Number Theory: Tradition and Modernization | 70, 74 | | Buhlmann H., Berger M. (Ed) - Mathematical Methods in Risk Theory | 5, 18 | | Nickerson R. - Cognition and Chance The Psychology of Probabilistic Reasoning | 242, 245 | | Ben-Zvi D. - The Challenge of Developing Statistical Literacy, Reasoning and Thinking | see distribution | | Szekely G.J. - Paradoxes in probability theory and mathematical statistics | I/10, IV/9 | | Oksendal B. - Stochastic Differential Equations: An Introduction With Applications | 12, 305-307 | | Granville A. (ed.), Rudnick Z. (ed.) - Equidistribution in Number Theory, an Introduction | 16 | | Lawless J.F. - Statistical Models and Methods for Lifetime Data | 21, 24, 230 | | Lange K. - Optimization | 233-236 | | Ghosh Sujit K., Mallick Bani K., Dey Dipak K. - Generalized Linear Models: A Bayesian Perspective | 390 | | Bollobas B. - Random Graphs | 9 | | Malliaris A.G., Brock W.A. - Stochastic methods in economics and finance | 6 | | Gleick J. - Chaos. Making a new science | 84 | | Goldberg M.A. (ed.) - Solution Methods for Integral Equations | 186 | | Bolstad W.M. - Introduction to Bayesian Statistics | 131 | | Duistermaat J.J., Kolk J.A.C. - Multidimensional Real Analysis II: Integration | 617,618,655 | | Shiryaev A., Peskir G. - Optimal Stopping and Free-Boundary Problems | 105 | | Packel E. - The Mathematics of Games and Gambling | 73 | | Khuri A.I. - Advanced calculus with applications in statistics | 120, 306 | | Stone C.J.D. - Course in Probability and Statistics | 145-155, 766-767. See also Standard normal distribution. | | Smith S.W. - Digital Signal Processing | see 'Gaussian' | | Barlow R. - Statistics: A Guide and Reference to the Use of Statistical Methods in the Physical Sciences | see Gaussian distribution | | Hartl D.L., Jones E.W. - Genetics: Principles and Analysis | 673-675 | | Spiegel M.R., Stephens L.J. - Schaum's outline of theory and problems of statistics | 92, 105, 106, 156-158, 165-172 | | Kadanoff L.P. - Statistical physics | 42 | | Kerker M. - The scattering of light | 353 | | Najim K., Ikonen E., Daoud A.-K. - Stochastic processes. Estimation, optimization and analysis | 67, 99, 117, 154, 231, 297, 302, 326 | | Knuth D.E. - The art of computer programming (vol. 2 Seminumerical Algorithms) | 56, 122, 384, 565 | | Vapnik V. - Estimation of dependences based on empirical data | see 'Gaussian distribution' | | Cover T.M., Thomas J.A. - Elements of information theory | 38, 225, 230, 238-265, 487 (see also 'Gaussian channels', 'Gaussian source') | | Dorlas T.C. - Statistical mechanics, fundamentals and model solutions | 234, 235 | | Hull J.C. - Options, futures and other derivatives | 234, 709, 722-723 | | Bowman K.O., Shenton L.R. - Continued Fractions in Statistical Applications | 51 | | Fukunaga K. - Introduction to Statistical Pattern Recognition | see Distribution, normal | | Ito K. - Encyclopedic Dictionary of Mathematics | 341.D, 397.D, App. A, Table 22 | | Gnedenko B.V., Kolmogorov A.N. - Limit Distributions for Sums of Independent Random Variables | 3 | | Fundamentals of engineering. Supplied-reference handbook | 9 | | Takezawa K. - Introduction to Nonparametric Regression | 10, 16, 124, 125, 128, 227, 286, 360, 361, 368, 390, 407, 414, 444, 523 | | Kakosyan A.V., Klebanov L.B., Melamed J.A. - Characterization of Distributions by the Method of Intensively Monotone Operators | 23 | | Jahne B. - Digital Image Processing | 90 | | Zauderer E. - Partial Differential Equations of Applied Mathematics | see 'Gaussian distribution' | | Michie D., Spiegelhalter D.J., Taylor C.C. - Machine learning, neural and statistical classification | 20 | | Krause A., Olson M. - The basics of S-plus | 208 | | Sokolnikoff I.S. - Mathematics of Physics and Modern Engineering | 633, 651 | | Higham N.J. - Accuracy and Stability of Numerical Algorithms | 3 | | Greenberg M.D. - Advanced engineering mathematics | 984 | | Wolf-Gladrow D.A. - Lattice-gas cellular automata and lattice Boltzmann models | 154 | | Berry D.A., Fristedt B. - Bandit problems | 10, 24, 129, 175, 179, 220, 224, 258 | | Aven O.I., Coffman E.G., Kogan Y.A. - Stochastic Analysis of Computer Storage | 92, 93 | | David H., Nagaraja H. - Order Statistics (Wiley Series in Probability and Statistics) | see also 'Bivariate normal distribution'; 'Multivariate normal distribution' | | Afifi A.A., Clark V. - Computer-Aided Multivariate Analysis | 54-55, 131 | | Kubo R., Toda M., Hashitsume N. - Statistical physics II. Nonequilibrium statistical mechanics | 8, 9, 12, 22 | | Knuth D.E. - The art of computer programming (Vol. 1. Fundamental algorithms) | 102, 103 | | Knuth D.E. - The art of computer programming (Vol. 2. Seminumerical algorithms) | 54, 71, 117-127, 129, 130, 134-135, 368 | | Bhattacharya R.N., Rao R.R. - Normal Approximation and Asymptotic Expansions | 50 | | Norman G.R., Streiner D. - Biostatistics: the bare essentials | 19, 23-28 | | Barlow R.E., Proschan F. - Mathematical Theory of Reliability | 2, 11, 16 | | Lyons R.G. - Understanding Digital Signal Processing | 325 | | Kubo R. - Statistical Mechanics: An Advanced Course with Problems and Solutions | 384 | | Bardou F., Bouchaud J., Aspect A. - Levy statistics and laser cooling | see 'Gaussian distribution' | | Montgomery D.C. - Introduction to Statistical Quality Control | 61, 62, 65, 78, 88, 216, 237, 339 | | Balakrishnan N. (ed.), Rao C.R. (ed.) - Advances in Reliability | 409 | | Aczel J. - Lectures on functional equations and their applications | 106 | | Saaty T.L. - Elements of Queueing theory with applications | 65 | | Baglivo J.A. - Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods | 35 | | Pope S.B. - Turbulent Flows | 45-46, 47 | | Shohat J. - The problem of moments | ix | | Huang K. - Introduction to Statistical Physics | 244 | | Billingsley P. - Probability and Measure | 263, 264, 273, 20.19, 20.22, 281, 286, 354, 358, 366, 28.13, 28.14, 397 | | Searle S.R. - Matrix algebra useful for statistics | 352 | | Aczel J., Dhombres J. - Functional equations in several variables with applications to mathematics, information theory and to the natural and social sciences | 32, 370 | | Spiegel M.R. - Schaum's mathematical handbook of formulas and tables | 189 | | Bracewell R.N. - The Fourier Transform and its applications | 58 | | Lipschutz S. - Schaum's Outline of Probability | 106 | | Antia H.M. - Numerical Methods for Scientists and Engineers | 395, 398, 399, 405, 411 | | Maddala G.S. - Introduction to Econometrics | 19 | | Fersht A. - Structure and Mechanism in Protein Science | 210 | | Kreyszig E. - Advanced engineering mathematics | 1026, 1047-1057, 1062-1067, A98 | | Kotz S., Johnson N.L. - Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 14, 37, 86, 101, 118, 202, 241, 276, 283, 342, 407, 523, 551, 563, 566 | | Knuth D.E. - The art of computer programming (vol. 1 Fundаmental algorithms) | 104, 122 | | Bowman A.W., Azzalini A. - Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations | 23, 33, 36, 39, 40, 42, 46, 75, 77, 87, 163, 170, 171 | | Graybill F.A. - Matrices with Applications in Statistics | Sec. 10.3 | | Bow S.-T. - Pattern recognition and image preprocessing | 93 | | Emanuel Parzen - Stochastic processes (Classics in Applied Mathematics) | 14, 15, 17, 19-21, 54, 60, 91, 93, 95, 96, 141, 169 | | Arwini K. - Information Geometry: Near Randomness and Near Independence | 9 | | Cotterill R.M.J. - Biophysics: An Introduction | 376 | | Kolchin V.F. - Random Graphs | 9 | | Maritz J.S., Lwin T. - Empirical Bayes Methods With Applications (Chapman & Hall/CRC Monographs On Statistics & Applied Probability) | 7, 33, 90, 109, 115, 122, 182, 211, 243 | | Miller K.S. - Complex stochastic processes | 36 | | Gordon H. - Discrete Probability | 149 | | Roe B.P. - Probability and Statistics in Experimental Physics | (see Distributions, normal) | | Efron B. - Large-Scale Inference. Empirical Bayes Methods for Estimation, Testing, and Prediction | 3, 16, 84, 139, 153, 213 | | Trefethen L.N., Bau D. - Numerical Linear Algebra | 96, 171, 240 | | Cantu-Paz E. - Efficient and accurate parallel genetic algorithms | 18, 28, 83, 106 | | Balakrishnan N. (ed.), Rao C.R. (ed.) - Order Statistics - Theory and Methods | 17, 26, 28, 30-32, 37-39, 41, 43-45, 99, 137, 138, 151-153, 155, 173, 174, 272-274, 292, 297, 305-307, 321-323, 325, 348, 354, 362, 388, 394, 442, 447, 449, 453-459, 467, 468, 470, 472-174, 479, 489, 493, 495, 498, 503, 505, 506, 509, 510, 518, 524, 525, 532, 537, 543, 547, 554, 555, 595, 600, 661, 672, 673 | | Wilkinson L., Wills G., Rope D. - The Grammar aof Graphics | 457 | | Berg C., Christensen J.P., Ressel P. - Harmonic Analysis On Semigroups | 190 | | Hubbard J.R. - Theory and Problems of Programming with C++ | 152 | | Thompson W.J. - Computing for Scientists and Engineers: A Workbook of Analysis, Numerics, and Applications | see Gaussian distribution | | Tsang L., Kong J.A., Ding K.- H. - Scattering of electromagnetic waves (Vol 1. Theories and applications) | 133 | | Wilmott P., Howison S., Dewynne J. - The Mathematics of Financial Derivatives : A Student Introduction | 22, 50 | | Spiegel M.R. - Schaum's outline of theory and problems of probability and statistics | 109-111, 124-127 | | Kotz S. - Breakthroughs in Statistics (volume 3) | 371, 415 | | Efron B. - Large-Scale Interference. Empirical Bayes Methods for Estimation, Testing, and Prediction | 3, 16, 84, 139, 153, 213 | | Graham J., Baldock R. - Image processing and analysis. A practical approach | 115 | | van Dijk N. - Handbook of Statistics 16: Order Statistics: Theory & Methods | 17, 26, 28, 30-32, 37-39, 41, 43-45, 99, 137, 138, 151-153, 155, 173, 174, 272-274, 292, 297, 305-307, 321-323, 325, 348, 354, 362, 388, 394, 442, 447, 449, 453-459, 467, 468, 470, 472-474, 479, 489, 493, 495, 498, 503, 505, 506, 509, 510, 518, 524, 525, 532, 537, 543, 547, 554, 555, 595, 600, 661, 672, 673 | | Rektorys K. - Survey of applicable mathematics | 1252-3 | | Bloomfield P., Steiger W. - Least Absolute Deviations | 65, 104 | | Marmanis H., Babenko D. - Algorithms of the intelligent web | 242 | | Balakrishnan N., Rao C.R. - Handbook of Statistics (Vol. 17): Order Statistics: Applications | 62, 127, 128, 131-133, 159, 160, 163, 164, 166-170, 174, 201, 207, 217-221, 223, 226, 227, 246, 247, 269, 297, 340, 342, 446, 456, 460, 461, 463, 475, 477, 480, 484, 486, 488, 491, 492, 498, 500, 504, 505, 507 | | Bracewell R. - The Fourier Transform and Its Applications | 58 | | Anderson T.W. (ed.), Fang K.T. (ed.), Olkin I. (ed.) - Multivariate Analysis and Its Applications | 76, 134, 177, 203, 263 | | Bird G.A. - Molecular gas dynamics and the direct simulation of gas flows | 9 | | Ralston A., Wilf H.S. - Mathematical methods for digital computers | 255 | | Riley, Hobson - Mathematical Methods for Physics and Engineering | see "Gaussian (normal) distribution" | | Adler R.J. - Geometry of random fields | see "Gaussian" | | Gelman A., Carlin J.B., Stern H.S. - Bayesian data analysis | 574, 578 | | Gnedenko B.V., Kolmogorov A.N., Chung K.L. - Limit Distributions for Sums of Independent Random Variables. Revised Edition | 3 | | McEvily A.J. - Metal Failures: Mechanisms, Analysis, Prevention | 153 | | Haken H. - Synergetics: an introduction | 37 | | Chase R.B., Jacobs E.R. - Operations management for competitive advantage | 348 | | Franklin G.F., Workman M.L., Powell J.D. - Digital Control of Dynamic Systems | 521, 714 | | Hamming R.W. - Art of Probability for Scientists and Engineers | 208 | | DeGroot M.H. - Optimal statistical decisions | 37, 263 | | Dynkin E.B., Yushkevich A.A. - Markov processes; theorems and problems | 40 | | Hamming R.W. - Numerical Methods For Scientists And Engineers | 34 | | Lena P., Lebrun F. - Observational Astrophysics (Astronomy and Astrophysics Library Series) | 439 | | Mitchell T.M. - Machine Learning | 133, 139-140, 143, 151, 165 | | Grimmett G., Welsh D. - Probability: An Introduction | 63, 67, 85, 87, 98, 99, 114, 131 | | Paulos J. - A Mathematician Plays the Stock Market | 122, 139 | | Taylor J.R. - An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements | 129-135 | | Rektorys K. (ed.) - Survey of Applicable Mathematics | 1252-1253 | | Mathews J., Walker R.L. - Mathematical methods of physics | 378 | | Ash R. - Basic probability theory | see Distribution | | Bickel P., Doksum K. - Mathematical statistics | 464, see "Gaussian" | | Macmillan N., Creelman D. - Detection Theory: A User's Guide | 35, 320-322, 348-349, 374-378 | | Hobbie R., Roth B. - Intermediate Physics for Medicine and Biology, | 568 | | Jurik M. (ed.) - Computerized Trading: Maximizing Day Trading and Overnight Profits | 263 | | Devroye L. - Non-Uniform Random Variate Generation | 379 | | Berger J.O. - Statistical decision theory and bayesian analysis | 559, see also "Normal mean" | | Kotz S., Johnson N.L. - Breakthroughs in Statistics: Volume 2: Methodology and Distribution | 24, 493, 544, 553, 554 | | Paulos J.A. - A Mathematician Plays the Stock Market | 122, 139 | | Strang G. - Introduction to Applied Mathematics | 141, 537, 539 | | Ashby N., Miller S.C. - Principles of modern physics | 35 | | Bates Douglas M., Watts Donald G. - Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) | 2, 25 | | Kuo H.-H. - Gaussian Measures in Banach Spaces | 56, 93 | | Cooper R.B. - Introduction to queueing theory | 290 | | Chernick M.R., Friis R.H. - Introductory Biostatistics for the Health Sciences : Modern Applications Including Bootstrap | 60, 121 | | Apostol T.M. - Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications | 535 | | Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E. - Quantitative Methods For Investment Analysis | 250-257 | | Hartmann A.K., Rieger H. - Optimization Algorithms in Physics | 330 | | Zeidler E. - Oxford User's Guide to Mathematics | 77 | | Hamilton J.D. - Time Series Analysis | 745-746, 748-749, 751-752 | | Smith W.J. - Modern Lens Design: A Resource Manual | 437 | | Rektorys K. - Survey of Applicable Mathematics.Volume 2. | II 714 | | Hassani S. - Mathematical Methods: for Students of Physics and Related Fields | 806-809 | | Gullberg J. - Mathematics: from the birth of numbers | 979 | | Haile J.M. - Molecular Dyanmics Simualtion: Elementary Methods | see "Gaussian distribution" | | Haile J.M. - Molecular Dyanmics Simualtion: Elementary Methods | see "Gaussian distribution" | | Rice J.A. - Mathematical statistics and data analysis | 53 | | Ripley B.D. - Stochastic Simulation | 5, 54, 60, 65, 67, 82ff, 92, 228ff | | Vanmarcke Erik - Random Fields : Analysis and Synthesis | 47, see also "Gaussian" | | Wilmott P., Howison S., Dewynne J. - The Mathematics Of Financial Derivatives | 22, 50 | | Stein S. - Strength In Numbers: Discovering the Joy and Power of Mathematics in Everyday Life | 179 | | Krane K.S. - Introductory nuclear physics | see "Gaussian distribution" | | Сергиенко А.Б. - Цифровая обработка сигналов. Учебник для вузов. | 66 | | Yao W-M - Review of particle physics | 299 | | Falconer K. - Fractal geometry: mathematical foundations and applications | 23, 260 | | Clarke C.L.A., Cormack G.V. - Information Retrieval: Implementing and Evaluating Search Engines | 417 | | Mathews J., Walker R.L. - Mathematical Methods of Physics | 378 | | Hogg R.V., Craig A.T. - Introduction to Mathematical Statistics | 138, 143, 147, 208, 214, 247, 381, 446 |
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