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Vanmarcke Erik — Random Fields : Analysis and Synthesis
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Íàçâàíèå: Random Fields : Analysis and Synthesis
Àâòîð: Vanmarcke Erik
Àííîòàöèÿ: Random variation over space and time is one of the few attributes that might safely be predicted as characterizing almost any given complex system. Random fields or "distributed disorder systems" confront astronomers, physicists, geologists, meteorologists, biologists, and other natural scientists. They appear in the artifacts developed by electrical, mechanical, civil, and other engineers. They even underlie the processes of social and economic change. The purpose of this book is to bring together existing and new methodologies of random field theory and indicate how they can be applied to these diverse areas where a "deterministic treatment is inefficient and conventional statistics insufficient." Many new results and methods are included.
After outlining the extent and characteristics of the random field approach, the book reviews the classical theory of multidimensional random processes and introduces basic probability concepts and methods in the random field context. It next gives a concise amount of the second-order analysis of homogeneous random fields, in both the space-time domain and the wave number-frequency domain. This is followed by a chapter on spectral moments and related measures of disorder and on level excursions and extremes of Gaussian and related random fields.
After developing a new framework of analysis based on local averages of one-, two-, and n-dimensional processes, the book concludes with a chapter discussing ramifications in the important areas of estimation, prediction, and control. The mathematical prerequisite has been held to basic college-level calculus.
ßçûê:
Ðóáðèêà: Ìàòåìàòèêà /Âåðîÿòíîñòü /Ñòîõàñòè÷åñêèå ïðîöåññû /
Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö
ed2k: ed2k stats
Ãîä èçäàíèÿ: 1983
Êîëè÷åñòâî ñòðàíèö: 393
Äîáàâëåíà â êàòàëîã: 15.06.2005
Îïåðàöèè: Ïîëîæèòü íà ïîëêó |
Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
Ïðåäìåòíûé óêàçàòåëü
Adler, R. 150 170
Agriculture, applications in 2 266
Agterberg, F.P. 6
Aki, K. 6
Ambient sea noise 136
ARMA (autoregressive moving average) models 120 127—128
Atmospheric turbulence see "Turbulence"
Autoregressive correlation models 120—128 178—179 186—187 193—194 274 303—305 see
Axioan of probability 25
Bachelier, L. 4 68
Baggeroer, A.B. 136
Band-limited white noise 175—176 220 341 see
Bandwidth measures see "Spectral bandwidth measures"
Bartlett, M.S. 70 334
Batchelor, G.K. 7 84 195
Bath, M. 6
Bayes's theorem 27 29 30 52
Bayes's theorem, estimate of scale of fluctuation 327 346
Bayesian analysis 362
Belayev, Y.K. 170 316
Bendat, J.S. 7
Benjamin, J.R. 348
Beran, M.J. 7
Berg, J. 136
Berman, S.M. 164
Bernoulli random variables 63 67
Binary random fields 23 33—34 38 63—65
Binomial distribution 47 66—67
Biometrics, applications in 1 7 353 359—360 363
Blackman, R.B. 7
Bolotin, V.V. 7
Bolzmann's constant 72 73 359
Bounds on correlation function of isotropic fields 81
Bounds on moments of isotropic correlation functions 242 287—288
Bounds on spectral bandwidth measures 13 145—147 155
Bounds on spectral distribution function 140—141
Bracewell, R. 343
Brillinger, D.R. 7
Brockett, R. 5
Brownian motion 1 4 7 68 221 360
Brownian motion, Markov process and diffusion theory 69—73
Brownian motion, random walk 3 71—73
Brownian motion, scaling to render homogeneous 182
Bryson, A. 5
Business cycles, fluctuation of 358—359
Camp-Meidell inequality 141
Carrier function 150
Catastrophic failure 10
Caughey, T.K. 183
Central limit theorem 55—56 195 215
Chakravorty, M. 183
Chandiramani, K.L. 164
Chandrasekhar, S. 56 72
Chaos, spectral bandwidth measures of 17 219
Characteristic area 236 see
Characteristic frequencies 139
Characteristic frequencies of local averages 211
Characteristic frequencies, examples 176—181
Characteristic functions 44—47
Characteristic functions, table 47
Chebyshev-type bounds on spectral distribution function 140—141
Chernov, L.A. 6
Chi-square distribution 47
Choot, G. 348 362
Churchman, C.W. 24
Circle noise 136
Circular symmetry see "Isotropy"
Clarkson, B.L. 7
Cleary, M.P. 5
Clump size, mean 162 172 262 317
Clustering of level excursions and local maxima 161—163 172 262 317 319
Coefficient of correlation see "Covariance"
Coefficient of variation 38 218
Coherence function 133
Communication engineering 4 7
Complex random process 88 100 108 151
Composite modeling 18 183 221—224 265 296
Composite modeling, parameter estimation 330—331 349
Conditional expectation in composite modeling 18 228 324
Conditional expectation in linear estimation 58—59
Conditional expectation, definitions 43—44
Conditional expectation, Gaussian 52—53
Conditional scale of fluctuation 247—250 291—295 248
Conditional scale of fluctuation, correlation function 250—251 296
Conditional scale of fluctuation, spectral density function 251—252 296
Conditional scale of fluctuation, variance function 247—250 291—295
Contour lines 165 170
Convolution, linear system response 106
Convolution, sums of two random variables 35
Cook, R.G. 164
Cornell, C.A. 348
Corner frequencies of frequency-dependent correlation measures 270—273 274 297—299
Corner frequencies of frequency-dependent variance function 278—279
Corotis, R.B. 183
Correlation function for white noise and purely random processes 63 64
Correlation function under local averaging 250 255—257 295 321
Correlation function, composite models 221 224—226 323
Correlation function, definition 10—11 41 79—84
Correlation function, estimation procedures 327 331—336 340
Correlation function, frequency-dependent 129—130 134—137 266
Correlation function, input-output for linear systems 105 109
Correlation function, lower bound, for isotropic fields 81
Correlation function, models from variance functions 181—186
Correlation function, moments 11—12 188 192—193 231 238 241—242 287 205—206
Correlation function, moving average and autoregressive (Markovian) 73 119—128 175
Correlation function, radial 81 103 242 274 287 299 see
Correlation function, relationship to variance function 186 202 229 231 235 256 209 250
Correlation function, sensitivity to microscale variations 13—14 175 213
Correlation function, space-time 128—133
Correlation function, specific models 81—84 134—137 174—182
Correlation measures of composite models 222—224 265 323
Correlation measures of local averages 218 263 320
Correlation measures of sample spectral density function 341 347
Correlation measures of white noise 220—221 264
Correlation measures, existence conditions 237—239 240 287
Correlation measures, frequency-dependent 296—299
Correlation measures, notation 16 17
Correlation measures, three-dimensional 209—290
Correlation measures, two-dimensional 16 236 see
Cospectrum 133
Covariance function see "Correlation function"
Covariance matrix of a random vector 49—53
Covariance of local averages 201—202 231—232 253—256 290 205—209
Covariance of local averages and local deviations 227 223—224
Covariance of local spatial averages frequency dependent 280—282
Covariance of partial derivatives 149 167 169
Covariance, definition 39
Cramer, H. 12 136 151 164 166 170
Crandall, S.H. 7 65 164
Cross-covariance function 41 79—84
Cross-covariance function, matrix for vector field 84
Cross-spectral density function 11 89 101
Cross-spectral density function for input-output 109 348
Cross-spectral density function of spatial averages 279—283
Cross-spectral density function, space-time 129—133 34
Crossings see "Level excursion statistics"
Cumulant functions 45—47
Cumulative distribution function, definition 27
Cumulative distribution function, spectral 87 96—97 103
Dam safety assessment 7—10 348 362
Damping coefficient 124
Data acquisition networks 19 282 347 350 351 353 361 362—363
Davenport, A.G. 163
Davenport, W.B. 7
De Haan, L. 36
Decay rate see "Reliability function"
Decomposition of a random field 19 221—225 265 322—324
Decomposition of a random field through local averages 226—229 323—324 327—328
Degree of disorder, measures of 12
Degree of disorder, second law 17 see
derivatives 110—114 see "Mean
Desoer, C. 5
Differentiability see "Mean square differentiability"
Diffusion 4—5 71—72 151 170 359—360 see
Direction-dependent, correlation structure 82—83 239 245
Direction-dependent, local average processes 258—260 291—292 209
Direction-dependent, partial derivatives 148—149 168—169 259 309—312
Direction-dependent, random variation 239 245
Direction-dependent, scale of fluctuation 240 243 244 291—295
Direction-dependent, spatial random variation 130—131
Direction-dependent, spectra 11 95—96 239 244
Direction-dependent, threshold-crossing statistics 166—170 313—315
Direction-dependent, variance function 239 291
Direction-dependent, wave propagation 134—135
Directional see "Direction-dependent"
Distances, probability density function 54 55
Distributed disordered systems 1—2 17 353
Distributed disordered systems, feedback and control 3 9—10 362—363
Distributed disordered systems, stochastic finite element analysis 17 253 340—347
Ditlevsen, O. 164
Downcrossing see "Level excursion statistics"
Drake, A.W. 70
Duration of level excursion see "Level excursion statistics"
Dwight, H.B. 48 122
Dyer, I. 82
Dynamic friction coefficient see "Brownian motion"
Earthquake engineering 8 10 183 363
Econometrics, applications in 1 7 68 353—354 363
Einstein, A. 4 68—69 72
Ellipsoidal autoregressive models 123 244
Ellipsoidal correlation function 81—82 126—127 243
Ellipsoidal random fields 11
Ellipsoidal spectral density function 99 244
Envelope of local averages 213 261—262 314—315 316—317 see
Envelope, basic statistics 150—155
Envelope, Cramer — Leadbetter 12 151
Envelope, excursion region, mean size of 167—169 217 261 314
Envelope, level crossing statistics and local maxima 160—162 171—172 217 262 316—317
Ergodicity in mean 118 195
Ergodicity in scale of fluctuation 346
Ergodicity, strict of modern fields 30
Estimation see "Optimal linear estimation" "Parameter
Estimator for invariant 332 340
Estimator for scale of fluctuation 332 336 337 340
Estimator, variability 333—335 338—339 346 see
Events 25
Events, simple events 26
Evolutionary spectra 183
Ewing, J.A. 83
Excursions, dimensions of excursion region 165—169 216—217 260—261 313—315
Excursions, mean rate for high threshold levels 170—172 215—216 261—262 315—317
Excursions, tendency for clustering 161—163 172—174 217 262 317
Expectation of random variables 37—44
Exponential law, correlation function 186 193—194 273 303 330
Exponential law, duration of stay below threshold 164
Exponential law, frequency-dependent correlation function 136 274
Exponential law, probability density function 47
Exponential law, relationship to Poisson process 74 see
Exponential law, spectral density function 180—181 244
Exponential law, squared exponential correlation function 187 241
Extrapolation see "Optimal linear estimation"
Extremes see "Maximum values" "Local "Reliability
Feedback and control of distributed disorder systems 3 9—10 19 362—363
Feller, W. 4 70 75 159n
Filtered Poisson process 77
Filtering see "Optimal linear estimation"
Finite elements see "Stochastic finite element analysis"
First passage distribution, multidimensional equivalent see "Reliability function"
First passage distribution, one-dimensional 163—165
Fishman, G.S. 7
Fluid dynamics 6 7 see
Fokker — Planck equation 4 72 see "Markov
Fourier transform, characteristic function and probability density function 44—45
Fourier transform, cross-spectrum and cross-correlation function 89 101
Fourier transform, input-output relations for linear systems 106
Fourier transform, Parseval's theorem 343
Fourier transform, space-time correlation structure 131—132 266
Fourier transform, spectral density function and correlation function see also "Wiener — Khinchine relations"
Fractional noise (1/f noise) 18 225
Fractional noise (1/f noise), spectral parameters 177
Frequency-dependent, spatial correlation function 129—130 266 296
Frequency-dependent, spatial correlation measures 296—300
Frequency-dependent, spatial cross-spectral density function 279—282
Frequency-dependent, spatial scale of fluctuation 267—273 273—275
Frequency-dependent, spatial variance function 276—380 300—303
Frequency-dependent, wave number spectrum 131—133 267 269 296
Galb, A. 7 124
Gamma distribution 26 47 74—75
Gaussian in Brownian motion 4 195
Gaussian, approximation for cumulative distribution function 49
Gaussian, central limit theorem 55—56 195 354
Gaussian, envelope statistics 151—155
Gaussian, fundamental limiting process 15 354 361
Gaussian, maxima and threshold-crossing statistics 155—162 169 173
Gaussian, model correlation function 187 242
Gaussian, moments of probability density function 48 51—52
Gaussian, probability density function, properties of 47 48—56
Gaussian, table of standard cumulative distribution function 50
Geol, N.S. 7
Geology, applications in 1 82 327
Geometric law, correlation function 121 230
Geometric law, probability mass function 67
Geometric mean of variances of directional derivatives 168—169 171 313
Geotechnology, applications in 8 10 327 348 362
Gnedenko, V.V. 36
Granger, C.W. 7
Grigori, M. 362
Gron, B. 136
Gumbel, E.J. 36 63
Hachich, W. 348 362
Hammond, J.K. 183
Hasofer, A.M. 170
Heal condition 70 see "Diffusion"
Heisenberg's principle of uncertainty 8
Hilbert transform 151
Ho, Y. 5
Homogeneity of correlation structure 79
Homogeneity of random fields 10 31
Homogeneity, relationship to quadrant symmetry 80
Homogeneity, transforming nonhomogeneous fields 182—183
Hurst, H.E. 206
Hydrology 8 82 206 353
Impulse or point processes 4
Impulse or point processes, relation to local averages 219
Impulse or point processes, scale of fluctuation of 221 233 see
Impulse or point processes, spectral representation of 91—92
Independence of events 26
Independence of increments in a counting process 65—68
Independence of purely random fields 62—65
Independence of random variables 29 45—46
Independence of sinusoidal components in spectral analysis 84 92 99
Independence, relation to correlation coefficient 51
Independent increments 65—68
Input-output relations, invariance in 217 262 319
Input-output relations, second-order for linear systems 105—110
Input-output relations, stochastic finite element analysis 253—255 348
Interpolation 56—57 see
Invariant see also "Uncertainty density"
Invariant in parameter estimation 328
Invariant in transport processes 360
Invariant, estimation from actual records 332—342 340 345—346
Invariant, first law of disorder 17 218
Invariant, frequency domain interpretation 344
Invariant, impulse process 92 220—221 223—224 233
Invariant, interpretation 15 218 221
Invariant, linear systems, input-output 217—218 262—264 319—320
Invariant, relation to diffusion coefficient 71—73 221
Invariant, relation to white noise 64 68—69 220—221
Ising model 5
Isotropic autoregressive correlation models 122—123 244
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