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Vanmarcke Erik — Random Fields : Analysis and Synthesis
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: en

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
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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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