Random data: analysis and measurement procedures
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Format: | Buch |
Sprache: | English |
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Wiley
2000
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Ausgabe: | 3. ed. |
Schriftenreihe: | A Wiley-Interscience publication
Wiley series in probability and statistics : Texts and references section |
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Beschreibung: | Literaturangaben |
Beschreibung: | XVII, 594 S. graph. Darst. |
ISBN: | 0471317330 047106470X 9780471317333 |
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Datensatz im Suchindex
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adam_text | RANDOM DATA ANALYSIS AND MEASUREMENT PROCEDURES THIRD EDITION JULIUS S.
BENDAT MATHEMATICAL CONSULTANT ALLAN G. PIERSOL ENGINEERING CONSULTANT A
WILEY-INTERSCIENCE PUBLICATION JOHN WILEY & SONS, INC. NEW YORK *
CHICHESTER * WEINHEIM * BRISBANE * SINGAPORE * TORONTO CONTENTS PREFACE
TO THE THIRD EDITION XIII GLOSSARY OF SYMBOLS XV 1. BASIC DESCRIPTIONS
AND PROPERTIES 1 1.1. DETERMINISTIC VERSUS RANDOM DATA, 3 1.2.
CLASSIFICATIONS OF DETERMINISTIC DATA, 3 1.2.1. SINUSOIDAL PERIODIC
DATA, 4 1.2.2. COMPLEX PERIODIC DATA, 6 1.2.3. ALMOST-PERIODIC DATA, 7
1.2.4. TRANSIENT NONPERIODIC DATA, 9 1.3. CLASSIFICATIONS OF RANDOM
DATA, 10 1.3.1. STATIONARY RANDOM DATA, 12 1.3.2. ERGODIC RANDOM DATA,
12 1.3.3. NONSTATIONARY RANDOM DATA, 13 1.3.4. STATIONARY SAMPLE
RECORDS, 14 1.4. ANALYSIS OF RANDOM DATA, 14 1.4.1. BASIC DESCRIPTIVE
PROPERTIES, 14 1.4.2. INPUT/OUTPUT RELATIONS, 20 1.4.3. ERROR ANALYSIS
CRITERIA, 21 1.4.4. DATA ANALYSIS PROCEDURES, 24 2. LINEAR PHYSICAL
SYSTEMS 27 2.1. CONSTANT-PARAMETER LINEAR SYSTEMS, 27 2.2. BASIC DYNAMIC
CHARACTERISTICS, 29 2.3. FREQUENCY RESPONSE FUNCTIONS, 31 2.4.
ILLUSTRATIONS OF FREQUENCY RESPONSE FUNCTIONS, 32 2.4.1. MECHANICAL
SYSTEMS, 31 VI * CONTENTS 2.4.2. ELECTRICAL SYSTEMS, 41 2.4.3. OTHER
SYSTEMS, 44 2.5. PRACTICAL CONSIDERATIONS, 44 3. PROBABILITY
FUNDAMENTALS 48 3.1. ONE RANDOM VARIABLE, 48 3.3.1. PROBABILITY DENSITY
AND DISTRIBUTION FUNCTIONS, 48 3.1.2. EXPECTED VALUES, 53 3.1.3. CHANGE
OF VARIABLES, 53 3.1.4. MOMENT-GENERATING AND CHARACTERISTIC FUNCTIONS,
55 3.1.5. CHEBYSHEV S INEQUALITY, 57 3.2. TWO RANDOM VARIABLES, 58
3.2.1. EXPECTED VALUES AND CORRELATION COEFFICIENT, 59 3.2.2.
DISTRIBUTION FOR SUM OF TWO RANDOM VARIABLES, 60 3.2.3. JOINT MOMENT
GENERATING AND CHARACTERISTIC FUNCTIONS, 62 3.3. GAUSSIAN (NORMAL)
DISTRIBUTION, 64 3.3.1. CENTRAL LIMIT THEOREM, 65 3.3.2. JOINT GAUSSIAN
(NORMAL) DISTRIBUTION, 67 3.3.3. MOMENT-GENERATING AND CHARACTERISTIC
FUNCTIONS, 68 3.3.4. JV-DIMENSIONAL GAUSSIAN (NORMAL) DISTRIBUTION, 69
3.4. RAYLEIGH DISTRIBUTION, 73 3.4.1. DISTRIBUTION OF ENVELOPE AND PHASE
FOR NARROW BANDWIDTH DATA, 73 3.4.2. DISTRIBUTION OF OUTPUT RECORD FOR
NARROW BANDWIDTH DATE, 77 3.5. HIGHER-ORDER CHANGES OF VARIABLES, 78 4.
STATISTICAL PRINCIPLES 86 4.1. SAMPLE VALUES AND PARAMETER ESTIMATES, 86
4.2. IMPORTANT PROBABILITY DISTRIBUTION FUNCTIONS, 89 4.2.1. GAUSSIAN
(NORMAL) DISTRIBUTION, 89 4.2.2. CHI-SQUARE DISTRIBUTION, 90 4.2.3. THE
T DISTRIBUTION, 91 4.2.4. THE F DISTRIBUTION, 92 4.3. SAMPLING
DISTRIBUTIONS AND ILLUSTRATIONS, 93 4.3.1. DISTRIBUTION OF SAMPLE MEAN
WITH KNOWN VARIANCE, 93 4.3.2. DISTRIBUTION OF SAMPLE VARIANCE, 94
CONTENTS VLI 4.3.3. DISTRIBUTION OF SAMPLE MEAN WITH UNKNOWN VARIANCE,
95 4.3.4. DISTRIBUTION OF RATIO OF TWO SAMPLE VARIANCES, 95 4.4.
CONFIDENCE INTERVALS, 96 4.5. HYPOTHESIS TESTS, 99 4.5.1. CHI-SQUARE
GOODNESS-OF-FIT TEST, 103 4.5.2. NONPARAMETRIC TREND TEST, 105 4.6.
CORRELATION AND REGRESSION PROCEDURES, 108 4.6.1. LINEAR CORRELATION
ANALYSIS, 108 4.6.2. LINEAR REGRESSION ANALYSIS, 111 5. STATIONARY
RANDOM PROCESSES 118 5.1. BASIC CONCEPTS, 118 5.1.1. CORRELATION
(COVARIANCE) FUNCTIONS, 120 5.1.2. EXAMPLES OF AUTOCORRELATION
FUNCTIONS, 122 5.1.3. CORRELATION COEFFICIENT FUNCTIONS, 124 5.1.4.
CROSS-CORRELATION FUNCTION FOR TIME DELAY, 126 5.2. SPECTRAL DENSITY
FUNCTIONS, 128 5.2.1. SPECTRA VIA CORRELATION FUNCTIONS, 128 5.2.2.
SPECTRA VIA FINITE FOURIER TRANSFORMS, 138 5.2.3. SPECTRA VIA
FILTERING-SQUARING-AVERAGING, 141 5.2.4. WAVE-NUMBER SPECTRA, 144 5.2.5.
COHERENCE FUNCTIONS, 146 5.2.6. CROSS-SPECTRUM FOR TIME DELAY, 147
5.2.7. LOCATION OF PEAK VALUE, 149 5.2.8. UNCERTAINTY RELATION, 150
5.2.9. UNCERTAINTY PRINCIPLE AND SCHWARTZ INEQUALITY, 154 5.3. ERGODIC
AND GAUSSIAN RANDOM PROCESSES, 155 5.3.1. ERGODIC RANDOM PROCESSES, 156
5.3.2. SUFFICIENT CONDITIONS FOR ERGODICITY, 158 5.3.3. GAUSSIAN RANDOM
PROCESSES, 161 5.3.4. LINEAR TRANSFORMATIONS OF RANDOM PROCESSES, 163
5.4. DERIVATIVE RANDOM PROCESSES, 165 5.4.1. CORRELATION FUNCTIONS, 166
5.4.2. SPECTRAL DENSITY FUNCTIONS, 169 5.5. LEVEL CROSSINGS AND PEAK
VALUES, 170 5.5.1. EXPECTED NUMBER OF LEVEL CROSSINGS PER UNIT TIME, 170
5.5.2. PEAK PROBABILITY FUNCTIONS FOR NARROW BANDWIDTH DATA, 174 VLLL *
CONTENTS 5.5.3. EXPECTED NUMBER AND SGACING OF POSITIVE PEAKS, 177
5.5.4. PEAK PROBABILITY FUNCTIONS FOR WIDE BANDWIDTH DATA, 178 5.5.5.
DERIVATIONS, 180 6. SINGLE-INPUT/OUTPUT RELATIONSHIPS 189 6.1.
SINGLE-INPUT/SINGLE-OUTPUT MODELS, 189 6.1.1. CORRELATION AND SPECTRAL
RELATIONS, 189 6.1.2. ORDINARY COHERENCE FUNCTIONS, 196 6.1.3. MODELS
WITH EXTRANEOUS NOISE, 200 6.1.4. OPTIMUM FREQUENCY RESPONSE FUNCTIONS,
204 6.2. SINGLE-INPUT/MULTIPLE-OUTPUT MODELS, 208 6.2.1.
SINGLE-INPUT/TWO-OUTPUT MODEL, 208 6.2.2. SINGLE-INPUT/MULTIPLE-OUTPUT
MODEL, 210 6.2.3. REMOVAL OF EXTRANEOUS NOISE, 212 7
MULTIPLE-INPUT/OUTPUT RELATIONSHIPS 218 7.1.
MULTIPLE-INPUT/SINGLE-OUTPUT MODELS, 218 7.1.1. GENERAL RELATIONSHIPS,
218 7.1.2. GENERAL CASE OF ARBITRARY INPUTS, 222 7.1.3. SPECIAL CASE OF
MUTUALLY UNCORRELATED INPUTS, 223 7.2. TWO-INPUT/ONE-OUTPUT MODELS, 224
7.2.1. BASIC RELATIONSHIPS, 224 7.2.2. OPTIMUM FREQUENCY RESPONSE
FUNCTIONS, 228 7.2.3. ORDINARY AND MULTIPLE COHERENCE FUNCTIONS, 230
7.2.4. CONDITIONED SPECTRAL DENSITY FUNCTIONS, 232 7.2.5. PARTIAL
COHERENCE FUNCTIONS, 237 7.3. GENERAL AND CONDITIONED MULTIPLE-INPUT
MODELS, 240 7.3.1. CONDITIONED FOURIER TRANSFORMS, 242 7.3.2.
CONDITIONED SPECTRAL DENSITY FUNCTIONS, 243 7.3.3. OPTIMUM SYSTEMS FOR
CONDITIONED INPUTS, 244 7.3.4. ALGORITHM FOR CONDITIONED SPECTRA, 246
7.3.5. OPTIMUM SYSTEMS FOR ORIGINAL INPUTS, 249 7.3.6. PARTIAL AND
MULTIPLE COHERENCE FUNCTIONS, 252 7.4. MODIFIED PROCEDURE TO SOLVE
MULTIPLE-INPUT/SINGLE-OUTPUT MODELS, 254 7.4.1.
THREE-INPUT/SINGLE-OUTPUT MODELS, 256 7.4.2. FORMULAS FOR
THREE-INPUT/SINGLE-OUTPUT MODELS, 258 CONTENTS IX 8. STATISTICAL ERRORS
IN BASIC ESTIMATES 272 8.1. DEFINITION OF ERRORS, 272 8.2. MEAN AND MEAN
SQUARE VALUE ESTIMATES, 276 8.2.1. MEAN VALUE ESTIMATES, 276 8.2.2. MEAN
SQUARE VALUE ESTIMATES, 279 8.2.3. VARIANCE ESTIMATES, 284 8.3.
PROBABILITY DENSITY FUNCTION ESTIMATES, 286 8.3.1. BIAS OF THE ESTIMATE,
287 8.3.2. VARIANCE OF THE ESTIMATE, 289 8.3.3. NORMALIZED RMS ERROR,
290 8.3.4. JOINT PROBABILITY DENSITY FUNCTION ESTIMATES, 290 8.4.
CORRELATION FUNCTION ESTIMATES, 291 8.4.1. BANDWIDTH-LIMITED GAUSSIAN
WHITE NOISE, 294 8.4.2. NOISE-TO-SIGNAL CONSIDERATIONS, 295 8.4.3.
LOCATION ESTIMATES OF PEAK CORRELATION VALUES, 297 8.5. AUTOSPECTRAL
DENSITY FUNCTION ESTIMATES, 299 8.5.1. BIAS OF THE ESTIMATE, 300 8.5.2.
VARIANCE OF THE ESTIMATE, 304 8.5.3. NORMALIZED RMS ERROR, 305 8.5.4.
ESTIMATES FROM FINITE FOURIER TRANSFORMS, 306 8.5.5. TESTS FOR
EQUIVALENCE OF AUTOSPECTRA, 309 8.6. RECORD LENGTH REQUIREMENTS, 311 9.
STATISTICAL ERRORS IN ADVANCED ESTIMATES 316 9.1. CROSS-SPECTRAL DENSITY
FUNCTION ESTIMATES, 316 9.1.1. VARIANCE FORMULAS, 319 9.1.2. COVARIANCE
FORMULAS, 320 9.1.3. PHASE ANGLE ESTIMATES, 325 9.2. SINGLE-INPUT/OUTPUT
MODEL ESTIMATES, 326 9.2.1. BIAS IN FREQUENCY RESPONSE FUNCTION
ESTIMATES, 328 9.2.2. COHERENT OUTPUT SPECTRUM ESTIMATES, 331 9.2.3.
COHERENCE FUNCTION ESTIMATES, 333 9.2.4. GAIN FACTOR ESTIMATES, 336
9.2.5. PHASE FACTOR ESTIMATES, 338 9.3. MULTIPLE-INPUT/OUTPUT MODEL
ESTIMATES, 341 9.3.1. MULTIPLE COHERENCE FUNCTION ESTIMATES, 341 9.3.2.
MULTIPLE COHERENT OUTPUT SPECTRUM ESTIMATES, 342 9.3.3. SINGLE
CONDITIONED-INPUT/OUTPUT MODELS, 343 X * CONTENTS 9.3.4. PARTIAL
COHERENCE FUNCTION ESTIMATES, 343 9.3.5. PARTIAL COHERENT OUTPUT
SPECTRUM ESTIMATES, 344 9.3.6. GAIN FACTOR ESTIMATES FOR CONDITIONED
MODELS, 344 9.3.7. PHASE FACTOR ESTIMATES FOR CONDITIONED MODELS, 344
9.3.8. MODIFIED PROCEDURE ESTIMATES, 345 10. DATA ACQUISITION AND
PROCESSING 349 10.1. DATA ACQUISITION, 349 10.1.1. TRANSDUCER AND SIGNAL
CONDITIONING, 350 10.1.2. DATA TRANSMISSION, 353 10.1.3. CALIBRATION,
354 10.1.4. DYNAMIC RANGE, 357 10.2. DATA STORAGE, 359 10.2.1. MAGNETIC
TAPE RECORDERS, 360 10.2.2. MODULATION PROCEDURES, 360 10.2.3. DIGITAL
STORAGE, 362 10.3. DATA CONVERSION, 362 10.3.1. ANALOG-TO-DIGITAL
CONVERSION, 362 10.3.2. SAMPLING THEOREMS FOR RANDOM RECORDS, 364
10.3.3. SAMPLING RATES AND ALIASING ERRORS, 366 10.3.4. QUANTIZATION AND
OTHER ERRORS, 369 10.4. DATA QUALIFICATION, 371 10.4.1. DATA
CLASSIFICATION, 372 10.4.1. DATA VALIDATION, 377 10.4.3. DATA EDITING,
382 10.5. DATA ANALYSIS PROCEDURES, 385 10.5.1. PROCEDURES FOR ANALYZING
INDIVIDUAL RECORDS, 385 10.5.2. PROCEDURES FOR ANALYZING MULTIPLE
RECORDS, 388 11. DATA ANALYSIS 394 11.1. DATA PREPARATION, 394 11.1.1.
DATA STANDARDIZATION, 395 11.1.2. TREND REMOVAL, 396 11.1.3. DIGITAL
FILTERING, 398 11.2. FOURIET SERIES AND FAST FOURIER TRANSFORMS, 401
11.2.1. STANDARD FOURIER SERIES PROCEDURES, 402 11.2.2. FAST FOURIER
TRANSFORMS, 403 11.2.3. COOLEY-TUKEY PROCEDURE, 410 11.2.4. PROCEDURES
FOR REAL-VALUED RECORDS, 411 11.2.5. FURTHER RELATED FORMULAS, 413
CONTENTS XI T 11.2.6. OTHER ALGORITHMS, 415 11.3. PROBABILITY DENSITY
FUNCTIONS, 416 11.4. AUTOCORRELATION FUNCTIONS 417 11.4.1.
AUTOCORRELATION ESTIMATES VIA DIRECT COMPUTATIONS, 418 11.4.2.
AUTOCORRELATION ESTIMATES VIA FFT COMPUTATIONS, 418 11.5. AUTOSPECTRAL
DENSITY FUNCTIONS, 423 11.5.1. AUTOSPECTRA ESTIMATES BY ENSEMBLE
AVERAGING, 423 11.5.2. SIDE-LOBE LEAKAGE SUPPRESSION PROCEDURES, 425
11.5.3. RECOMMENDED COMPUTATIONAL STEPS FOR ENSEMBLE-AVERAGED ESTIMATES,
432 11.5.4. ZOOM TRANSFORM PROCEDURES, 434 11.5.5. AUTOSPECTRA ESTIMATES
BY FREQUENCY AVERAGING, 437 11.5.6. OTHER SPECTRAL ANALYSIS PROCEDURES,
441 11.6. JOINT RECORD FUNCTIONS, 442 11.6.1. JOINT PROBABILITY DENSITY
FUNCTIONS, 443 11.6.2. CROSS-CORRELATION FUNCTIONS, 443 11.6.3.
CROSS-SPECTRAL DENSITY FUNCTIONS, 445 11.6.4. FREQUENCY RESPONSE
FUNCTIONS, 446 11.6.5. UNIT IMPULSE RESPONSE (WEIGHTING) FUNCTIONS, 446
11.6.6. ORDINARY COHERENCE FUNCTIONS, 447 11.7. MULTIPLE-INPUT/OUTPUT
FUNCTIONS, 447 11.7.1. FOURIER TRANSFORMS AND SPECTRAL FUNCTIONS, 447
11.7.2. CONDITIONED SPECTRAL DENSITY FUNCTIONS, 449 11.7.3.
THREE-INPUT/SINGLE-OUTPUT MODELS, 450 11.7.4. FUNCTIONS IN MODIFIED
PROCEDURE, 453 12. NONSTATIONARY DATA ANALYSIS 457 12.1. CLASSES OF
NONSTATIONARY DATA, 457 12.2. PROBABILITY STRUCTURE OF NONSTATIONARY
DATA, 460 12.2.1. HIGHER-ORDER PROBABILITY FUNCTIONS, 460 12.2.2.
TIME-AVERAGED PROBABILITY FUNCTIONS, 462 12.3. NONSTATIONARY MEAN
VALUES, 463 12.3.1. INDEPENDENT SAMPLES, 465 12.3.2. CORRELATED SAMPLES,
466 12.3.3. ANALYSIS PROCEDURES FOR SINGLE RECORDS, 468 12.4.
NONSTATIONARY MEAN SQUARE VALUES, 470 12.4.1. INDEPENDENT SAMPLES, 470
12.4.2. CORRELATED SAMPLES, 472 12.4.3. ANALYSIS PROCEDURES FOR SINGLE
RECORDS, 473 XH . CONTENTS 12.5. CORRELATION STRUCTURE OF
NONSTA.TIOHARY DATA, 477 12.5.1. DOUBLE-TIME CORRELATION FUNCTIONS, 477
12.5.2. ALTERNATIVE DOUBLE-TIME CORRELATION FUNCTIONS, 478 12.5.3.
ANALYSIS PROCEDURES FOR SINGLE RECORDS, 481 12.6. SPECTRAL STRUCTURE OF
NONSTATIONARY DATA, 484 12.6.1. DOUBLE-FREQUENCY SPECTRAL FUNCTIONS, 484
12.6.2. ALTERNATIVE DOUBLE-FREQUENCY SPECTRAL FUNCTIONS, 486 12.6.3.
FREQUENCY-TIME SPECTRAL FUNCTIONS, 491 12.6.4. ANALYSIS PROCEDURES FOR
SINGLE RECORDS, 499 12.7. INPUT/OUTPUT RELATIONS FOR NONSTATIONARY DATA,
506 12.7.1. NONSTATIONARY INPUT AND TIME-VARYING SYSTEM, 507 12.7.2.
RESULTS FOR SPECIAL CASES, 509 12.7.3. FREQUENCY-TIME SPECTRAL
INPUT/OUTPUT RELATIONS, 510 12.7.4. ENERGY SPECTRAL INPUT/OUTPUT
RELATIONS, 512 13. THE HILBERT TRANSFORM 518 13.1. HILBERT TRANSFORMS
FOR GENERAL RECORDS, 518 13.1.1. COMPUTATION OF HILBERT TRANSFORMS, 521
13.1.2. EXAMPLES OF HILBERT TRANSFORMS, 522 13.1.3. PROPERTIES OF
HILBERT TRANSFORMS, 522 13.1.4. RELATION TO PHYSICALLY REALIZABLE
SYSTEMS, 526 13.2. HILBERT TRANSFORMS FOR CORRELATION FUNCTIONS, 530
13.2.1. CORRELATION AND ENVELOPE DEFINITIONS, 530 13.2.2. HILBERT
TRANSFORM RELATIONS, 531 13.2.3. ANALYTIC SIGNALS FOR CORRELATION
FUNCTIONS, 532 13.2.4. NONDISPERSIVE PROPAGATION PROBLEMS, 535 13.2.5.
DISPERSIVE PROPAGATION PROBLEMS, 539 13.3. ENVELOPE DETECTION FOLLOWED
BY CORRELATION, 543 BIBLIOGRAPHY 550 APPENDIX A: STATISTICAL TABLES 554
APPENDIX B: DEFINITIONS FOR RANDOM DATA ANALYSIS 565 LIST OF FIGURES 577
LIST OF TABLES 582 LIST OF EXAMPLES 583 INDEX 586
|
any_adam_object | 1 |
author | Bendat, Julius S. Piersol, Allan G. |
author_facet | Bendat, Julius S. Piersol, Allan G. |
author_role | aut aut |
author_sort | Bendat, Julius S. |
author_variant | j s b js jsb a g p ag agp |
building | Verbundindex |
bvnumber | BV013134914 |
classification_rvk | CM 4000 SK 800 SK 820 |
classification_tum | MAT 605f MAT 639f |
ctrlnum | (OCoLC)44694270 (DE-599)BVBBV013134914 |
dewey-full | 620.0072 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 620 - Engineering and allied operations |
dewey-raw | 620.0072 |
dewey-search | 620.0072 |
dewey-sort | 3620.0072 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Psychologie Mathematik |
edition | 3. ed. |
format | Book |
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id | DE-604.BV013134914 |
illustrated | Illustrated |
indexdate | 2024-07-09T18:39:37Z |
institution | BVB |
isbn | 0471317330 047106470X 9780471317333 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008947329 |
oclc_num | 44694270 |
open_access_boolean | |
owner | DE-29T DE-29 DE-703 DE-91 DE-BY-TUM DE-706 DE-824 DE-573 DE-634 DE-83 DE-188 DE-M100 |
owner_facet | DE-29T DE-29 DE-703 DE-91 DE-BY-TUM DE-706 DE-824 DE-573 DE-634 DE-83 DE-188 DE-M100 |
physical | XVII, 594 S. graph. Darst. |
publishDate | 2000 |
publishDateSearch | 2000 |
publishDateSort | 2000 |
publisher | Wiley |
record_format | marc |
series2 | A Wiley-Interscience publication Wiley series in probability and statistics : Texts and references section |
spelling | Bendat, Julius S. Verfasser aut Random data analysis and measurement procedures Julius S. Bendat ; Allan G. Piersol 3. ed. New York, NY [u.a.] Wiley 2000 XVII, 594 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier A Wiley-Interscience publication Wiley series in probability and statistics : Texts and references section Literaturangaben Datenverarbeitung Ingenieurwissenschaften Engineering Data processing Engineering Statistical methods Stochastic processes Systemanalyse (DE-588)4116673-5 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Messwertverarbeitung (DE-588)4038804-9 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Zufallsvariable (DE-588)4129514-6 gnd rswk-swf Messgröße (DE-588)4169512-4 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Systemanalyse (DE-588)4116673-5 s Statistik (DE-588)4056995-0 s DE-604 Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Stochastischer Prozess (DE-588)4057630-9 s Zufallsvariable (DE-588)4129514-6 s 2\p DE-604 Statistische Analyse (DE-588)4116599-8 s 3\p DE-604 Messwertverarbeitung (DE-588)4038804-9 s 4\p DE-604 Messgröße (DE-588)4169512-4 s 5\p DE-604 Piersol, Allan G. Verfasser aut HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008947329&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bendat, Julius S. Piersol, Allan G. Random data analysis and measurement procedures Datenverarbeitung Ingenieurwissenschaften Engineering Data processing Engineering Statistical methods Stochastic processes Systemanalyse (DE-588)4116673-5 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Messwertverarbeitung (DE-588)4038804-9 gnd Datenanalyse (DE-588)4123037-1 gnd Statistik (DE-588)4056995-0 gnd Zufallsvariable (DE-588)4129514-6 gnd Messgröße (DE-588)4169512-4 gnd Statistische Analyse (DE-588)4116599-8 gnd |
subject_GND | (DE-588)4116673-5 (DE-588)4057630-9 (DE-588)4038804-9 (DE-588)4123037-1 (DE-588)4056995-0 (DE-588)4129514-6 (DE-588)4169512-4 (DE-588)4116599-8 |
title | Random data analysis and measurement procedures |
title_auth | Random data analysis and measurement procedures |
title_exact_search | Random data analysis and measurement procedures |
title_full | Random data analysis and measurement procedures Julius S. Bendat ; Allan G. Piersol |
title_fullStr | Random data analysis and measurement procedures Julius S. Bendat ; Allan G. Piersol |
title_full_unstemmed | Random data analysis and measurement procedures Julius S. Bendat ; Allan G. Piersol |
title_short | Random data |
title_sort | random data analysis and measurement procedures |
title_sub | analysis and measurement procedures |
topic | Datenverarbeitung Ingenieurwissenschaften Engineering Data processing Engineering Statistical methods Stochastic processes Systemanalyse (DE-588)4116673-5 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Messwertverarbeitung (DE-588)4038804-9 gnd Datenanalyse (DE-588)4123037-1 gnd Statistik (DE-588)4056995-0 gnd Zufallsvariable (DE-588)4129514-6 gnd Messgröße (DE-588)4169512-4 gnd Statistische Analyse (DE-588)4116599-8 gnd |
topic_facet | Datenverarbeitung Ingenieurwissenschaften Engineering Data processing Engineering Statistical methods Stochastic processes Systemanalyse Stochastischer Prozess Messwertverarbeitung Datenanalyse Statistik Zufallsvariable Messgröße Statistische Analyse |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008947329&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT bendatjuliuss randomdataanalysisandmeasurementprocedures AT piersolallang randomdataanalysisandmeasurementprocedures |