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Ïîèñê êíèã, ñîäåðæàùèõ: Normal distribution



ÊíèãàÑòðàíèöû äëÿ ïîèñêà
Kharazishvili A.B. — Strange functions in real analysis
Ñåðãèåíêî À.Á. — Öèôðîâàÿ îáðàáîòêà ñèãíàëîâ66
Spiegel M.R. — Mathematical Handbook of Formulas and Tables189
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 Analysis673—675
Soong T.T. — Fundamentals of probability and statistics for engineers107, 196—199, 236
Falconer K. — Fractal Geometry. Mathematical Foundations and applications22
Petrie A., Sabin C. — Medical Statistics at a Glance21, 26
Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2341.D 397.D, App. A, Table 22
Devroye L. — Generation of non-uniform random variates379
Oksendal B. — Stochastic differential equations : an introduction with applications12, 291
Falconer K. — Fractal Geometry: Mathematical Foundations and Applications23, 260
Graham R.L., Knuth D.E., Patashnik O. — Concrete mathematics424
Harris R.J. — A primer of multivariate statistic9, 18, 76, 80, 353, 517
Fishman G.S. — Monte Carlo: concepts, algorithms, and applications151, 189—191, 246
Haerdle W., Simar L. — Applied multivariate statistical analysis175
Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation4, 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 chromatography8, 16, 359
Lindsey J.K. — Applying generalized linear modelsv, 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 analysissee Distributions
Hull J. — Options, Futures, and Other Derivative Securities192
Matousek J. — Lectures on Discrete Geometry (some chapters)314, 328
Föllmer H., Schied A. — Stochastic finance78, 82, 122, 125
Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 2)1809, 1814
Stansfield W.D. — Schaums outline of genetics211
Raychaudhury S. — Computational text analysis for functional genomics and bioinformatics32
Clote P., Backofen R. — Computational Molecular Biology30—31
Helgaker T., Jorgensen P., Olsen J. — Molecular Electronic-Structure Theory. Part 2821 (see also “Distributions”)
Peters E.E. — Fractal Market Analysis: Applying Chaos Theory to Investment and Economics21—26, 40—41, 53, 197, 205, 310
Peters E.E. — Chaos and Order in the Capital Markets25, 27—31, 53, 102, 195, 234
Bollinger J. — Bollinger on Bollinger Bands68, 69
Folland J.B. — Real Analysis: Modern Techniques and Their Applications325
Agresti A. — An introduction to categorical data analysis73—74, 97
Leach A.R. — Molecular Modelling Principles and Applicationssee “Gaussian functions”
Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics81
Skorokhod A.V., Prokhorov Y.V. (Ed) — Basic Principles and Applications of Probability Theory44, 132, 133, 162, 200, 205, 206
Wilmott P., Bowison S., DeWynne J. — Option Pricing: Mathematical Models and Computation22, 52
Meisel W.S. — Computer-oriented approach to pattern recognition42—43
Ferguson T.S. — Mathematical Statistics. A Decision Theoretic Approach101
Mahmoud H.M. — Evolution of random search trees34
Hamilton J.D. — Time Series Analysis745—746, 748—749, 751—752
Honerkamp J. — Statistical Physics10
Kolassa J.E. — Series Approximation Methods in Statistics11, 68
Fogiel M. — The Operations Research Problem Solver12—30
Engel K. — Sperner theory305
Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions8, 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 Scientists1053
Devlin K.J. — Language of Mathematics: Making the Invisible Visible296
Kohonen T. — Self-organizing maps12
Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice68
MacNeil D.B. — Modern Mathematics for the Practical Man109
Tanigawa Y. — Number Theory: Tradition and Modernization70, 74
Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory5, 18
Nickerson R. — Cognition and Chance The Psychology of Probabilistic Reasoning242, 245
Ben-Zvi D. — The Challenge of Developing Statistical Literacy, Reasoning and Thinkingsee distribution
Szekely G.J. — Paradoxes in probability theory and mathematical statisticsI/10, IV/9
Oksendal B. — Stochastic Differential Equations: An Introduction With Applications12, 305—307
Granville A. (ed.), Rudnick Z. (ed.) — Equidistribution in Number Theory, an Introduction16
Lawless J.F. — Statistical Models and Methods for Lifetime Data21, 24, 230
Lange K. — Optimization233—236
Ghosh Sujit K., Mallick Bani K., Dey Dipak K. — Generalized Linear Models: A Bayesian Perspective390
Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance6
Gleick J. — Chaos. Making a new science84
Goldberg M.A. (ed.) — Solution Methods for Integral Equations186
Bolstad W.M. — Introduction to Bayesian Statistics131
Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis II: Integration617,618,655
Shiryaev A., Peskir G. — Optimal Stopping and Free-Boundary Problems105
Packel E. — The Mathematics of Games and Gambling73
Khuri A.I. — Advanced calculus with applications in statistics120, 306
Stone C.J.D. — Course in Probability and Statistics145—155, 766—767. See also Standard normal distribution.
Smith S.W. — Digital Signal Processingsee “Gaussian”
Barlow R. — Statistics: A Guide and Reference to the Use of Statistical Methods in the Physical Sciencessee Gaussian distribution
Hartl D.L., Jones E.W. — Genetics: Principles and Analysis673—675
Spiegel M.R., Stephens L.J. — Schaum's outline of theory and problems of statistics92, 105, 106, 156—158, 165—172
Kadanoff L.P. — Statistical physics42
Kerker M. — The scattering of light353
Najim K., Ikonen E., Daoud A.-K. — Stochastic processes. Estimation, optimization and analysis67, 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 datasee “Gaussian distribution”
Dorlas T.C. — Statistical mechanics, fundamentals and model solutions234, 235
Hull J.C. — Options, futures and other derivatives234, 709, 722—723
Bowman K.O., Shenton L.R. — Continued Fractions in Statistical Applications51
Fukunaga K. — Introduction to Statistical Pattern Recognitionsee Distribution, normal
Ito K. — Encyclopedic Dictionary of Mathematics341.D, 397.D, App. A, Table 22
Gnedenko B.V., Kolmogorov A.N. — Limit Distributions for Sums of Independent Random Variables3
Fundamentals of engineering. Supplied-reference handbook9
Takezawa K. — Introduction to Nonparametric Regression10, 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 Operators23
Jahne B. — Digital Image Processing90
Zauderer E. — Partial Differential Equations of Applied Mathematicssee “Gaussian distribution”
Michie D., Spiegelhalter D.J., Taylor C.C. — Machine learning, neural and statistical classification20
Krause A., Olson M. — The basics of S-plus208
Sokolnikoff I.S. — Mathematics of Physics and Modern Engineering633, 651
Higham N.J. — Accuracy and Stability of Numerical Algorithms3
Greenberg M.D. — Advanced engineering mathematics984
Wolf-Gladrow D.A. — Lattice-gas cellular automata and lattice Boltzmann models154
Berry D.A., Fristedt B. — Bandit problems10, 24, 129, 175, 179, 220, 224, 258
Aven O.I., Coffman E.G., Kogan Y.A. — Stochastic Analysis of Computer Storage92, 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 Analysis54—55, 131
Kubo R., Toda M., Hashitsume N. — Statistical physics II. Nonequilibrium statistical mechanics8, 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 Expansions50
Norman G.R., Streiner D. — Biostatistics: the bare essentials19, 23—28
Barlow R.E., Proschan F. — Mathematical Theory of Reliability2, 11, 16
Lyons R.G. — Understanding Digital Signal Processing325
Kubo R. — Statistical Mechanics: An Advanced Course with Problems and Solutions384
Bardou F., Bouchaud J., Aspect A. — Levy statistics and laser coolingsee “Gaussian distribution”
Montgomery D.C. — Introduction to Statistical Quality Control61, 62, 65, 78, 88, 216, 237, 339
Balakrishnan N. (ed.), Rao C.R. (ed.) — Advances in Reliability409
Aczel J. — Lectures on functional equations and their applications106
Saaty T.L. — Elements of Queueing theory with applications65
Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods35
Pope S.B. — Turbulent Flows45-46, 47
Shohat J. — The problem of momentsix
Huang K. — Introduction to Statistical Physics244
Billingsley P. — Probability and Measure263, 264, 273, 20.19, 20.22, 281, 286, 354, 358, 366, 28.13, 28.14, 397
Searle S.R. — Matrix algebra useful for statistics352
Aczel J., Dhombres J. — Functional equations in several variables with applications to mathematics, information theory and to the natural and social sciences32, 370
Spiegel M.R. — Schaum's mathematical handbook of formulas and tables189
Bracewell R.N. — The Fourier Transform and its applications58
Lipschutz S. — Schaum's Outline of Probability106
Antia H.M. — Numerical Methods for Scientists and Engineers395, 398, 399, 405, 411
Maddala G.S. — Introduction to Econometrics19
Fersht A. — Structure and Mechanism in Protein Science210
Kreyszig E. — Advanced engineering mathematics1026, 1047—1057, 1062—1067, A98
Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory14, 37, 86, 101, 118, 202, 241, 276, 283, 342, 407, 523, 551, 563, 566
Knuth D.E. — The art of computer programming (vol. 1 Fundàmental algorithms)104, 122
Bowman A.W., Azzalini A. — Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations23, 33, 36, 39, 40, 42, 46, 75, 77, 87, 163, 170, 171
Graybill F.A. — Matrices with Applications in StatisticsSec. 10.3
Bow S.-T. — Pattern recognition and image preprocessing93
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 Independence9
Cotterill R.M.J. — Biophysics: An Introduction376
Kolchin V.F. — Random Graphs9
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 processes36
Gordon H. — Discrete Probability149
Roe B.P. — Probability and Statistics in Experimental Physics(see Distributions, normal)
Efron B. — Large-Scale Inference. Empirical Bayes Methods for Estimation, Testing, and Prediction3, 16, 84, 139, 153, 213
Trefethen L.N., Bau D. — Numerical Linear Algebra96, 171, 240
Cantu-Paz E. — Efficient and accurate parallel genetic algorithms18, 28, 83, 106
Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods17, 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 Graphics457
Berg C., Christensen J.P., Ressel P. — Harmonic Analysis On Semigroups190
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 Applicationssee 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 Introduction22, 50
Spiegel M.R. — Schaum's outline of theory and problems of probability and statistics109—111, 124—127
Kotz S. — Breakthroughs in Statistics (volume 3)371, 415
Efron B. — Large-Scale Interference. Empirical Bayes Methods for Estimation, Testing, and Prediction3, 16, 84, 139, 153, 213
Graham J., Baldock R. — Image processing and analysis. A practical approach115
van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods17, 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 mathematics1252-3
Bloomfield P., Steiger W. — Least Absolute Deviations65, 104
Marmanis H., Babenko D. — Algorithms of the intelligent web242
Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications62, 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 Applications58
Anderson T.W. (ed.), Fang K.T. (ed.), Olkin I. (ed.) — Multivariate Analysis and Its Applications76, 134, 177, 203, 263
Bird G.A. — Molecular gas dynamics and the direct simulation of gas flows9
Ralston A., Wilf H.S. — Mathematical methods for digital computers255
Riley, Hobson — Mathematical Methods for Physics and Engineeringsee "Gaussian (normal) distribution"
Adler R.J. — Geometry of random fieldssee "Gaussian"
Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis574, 578
Gnedenko B.V., Kolmogorov A.N., Chung K.L. — Limit Distributions for Sums of Independent Random Variables. Revised Edition3
McEvily A.J. — Metal Failures: Mechanisms, Analysis, Prevention153
Haken H. — Synergetics: an introduction37
Chase R.B., Jacobs E.R. — Operations management for competitive advantage348
Franklin G.F., Workman M.L., Powell J.D. — Digital Control of Dynamic Systems521, 714
Hamming R.W. — Art of Probability for Scientists and Engineers208
DeGroot M.H. — Optimal statistical decisions37, 263
Dynkin E.B., Yushkevich A.A. — Markov processes; theorems and problems40
Hamming R.W. — Numerical Methods For Scientists And Engineers34
Lena P., Lebrun F. — Observational Astrophysics (Astronomy and Astrophysics Library Series)439
Mitchell T.M. — Machine Learning133, 139—140, 143, 151, 165
Grimmett G., Welsh D. — Probability: An Introduction63, 67, 85, 87, 98, 99, 114, 131
Taylor J.R. — An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements129—135
Rektorys K. (ed.) — Survey of Applicable Mathematics1252—1253
Mathews J., Walker R.L. — Mathematical methods of physics378
Ash R. — Basic probability theorysee Distribution
Bickel P., Doksum K. — Mathematical statistics464, see "Gaussian"
Macmillan N., Creelman D. — Detection Theory: A User's Guide35, 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 Profits263
Devroye L. — Non-Uniform Random Variate Generation379
Berger J.O. — Statistical decision theory and bayesian analysis559, see also "Normal mean"
Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 2: Methodology and Distribution24, 493, 544, 553, 554
Paulos J.A. — A Mathematician Plays the Stock Market122, 139
Strang G. — Introduction to Applied Mathematics141, 537, 539
Ashby N., Miller S.C. — Principles of modern physics35
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 Spaces56, 93
Cooper R.B. — Introduction to queueing theory290
Chernick M.R., Friis R.H. — Introductory Biostatistics for the Health Sciences : Modern Applications Including Bootstrap60, 121
Apostol T.M. — Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications535
Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E. — Quantitative Methods For Investment Analysis250—257
Hartmann A.K., Rieger H. — Optimization Algorithms in Physics330
Zeidler E. — Oxford User's Guide to Mathematics77
Hamilton J.D. — Time Series Analysis745—746, 748—749, 751—752
Smith W.J. — Modern Lens Design: A Resource Manual437
Rektorys K. — Survey of Applicable Mathematics.Volume 2.II 714
Hassani S. — Mathematical Methods: for Students of Physics and Related Fields806—809
Gullberg J. — Mathematics: from the birth of numbers979
Haile J.M. — Molecular Dyanmics Simualtion: Elementary Methodssee "Gaussian distribution"
Haile J.M. — Molecular Dyanmics Simualtion: Elementary Methodssee "Gaussian distribution"
Rice J.A. — Mathematical statistics and data analysis53
Ripley B.D. — Stochastic Simulation5, 54, 60, 65, 67, 82ff, 92, 228ff
Vanmarcke Erik — Random Fields : Analysis and Synthesis47, see also "Gaussian"
Stein S. — Strength In Numbers: Discovering the Joy and Power of Mathematics in Everyday Life179
Krane K.S. — Introductory nuclear physicssee "Gaussian distribution"
Ñåðãèåíêî À.Á. — Öèôðîâàÿ îáðàáîòêà ñèãíàëîâ. Ó÷åáíèê äëÿ âóçîâ.66
Yao W-M — Review of particle physics299
Falconer K. — Fractal geometry: mathematical foundations and applications23, 260
Clarke C.L.A., Cormack G.V. — Information Retrieval: Implementing and Evaluating Search Engines417
Mathews J., Walker R.L. — Mathematical Methods of Physics378
Hogg R.V., Craig A.T. — Introduction to Mathematical Statistics138, 143, 147, 208, 214, 247, 381, 446
Epps T. — Quantitative Finance: Its Development, Mathematical Foundations, and Current Scope46, 143
Stein S. — Strength In Numbers: Discovering the Joy and Power of Mathematics in Everyday Life179
Honerkamp J. — Statistical physics: an advanced approach with applications10
Nievergelt J., Farrar J.C., Reingold E.M. — Computer approaches to mathematical problems152, 158
Chvatal V. — Linear programming220
Billingsley P. — Convergence of Probability Measures24
Knuth D.E. — Selected papers on discrete mathematics577, 753, 768
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