Categorical Time Series Analysis and Applications in Statistical Quality Control:
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| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
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Berlin
dissertation.de
2009
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| Series: | Dissertation Premium
1542 |
| Subjects: | |
| Online Access: | Inhaltstext Ausführliche Beschreibung Inhaltsverzeichnis |
| Physical Description: | X, 537 S. graph. Darst. |
| ISBN: | 9783866244429 |
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| 245 | 1 | 0 | |a Categorical Time Series Analysis and Applications in Statistical Quality Control |c Chrsitian H. Weiß |
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IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 THE DISCIPLINE OF CATEGORICAL TIME SERIES ANALYSIS 2
1.1.1 MODELING CATEGORICAL PROCESSES 3
1.1.2 PATTERNS IN CATEGORICAL TIME SERIES 4
1.1.3 VISUALLY ANALYZING CATEGORICAL TIME SERIES 5
1.1.4 STATISTICAL CONTROL OF CATEGORICAL PROCESSES 6
1.2 CONTRIBUTIONS OF THIS WORK 6
1.3 STRUCTURE OF THE TEXT 8
2 FIELDS OF CATEGORICAL TIME SERIES ANALYSIS 11
2.1 INTRUSION DETECTION 11
2.2 ALARM TIME SERIES IN TELECOMMUNICATION NETWORKS 12
2.3 EVENT PATTERN ANALYSIS IN AUTOMATION 13
2.4 MODELING SOFTWARE USAGE 14
2.5 MANUFACTURING EVENT MANAGEMENT 14
2.6 BIOLOGICAL SEQUENCES 15
2.7 MUSICAL ANALYSIS 17
2.8 SPEECH AND TEXT RECOGNITION 17
2.9 PART-OF-SPEECH TAGGING 18
CHAPTER I EXPLORATORY ANALYSIS OF CATEGORICAL TIME SERIES 21 3 STRINGS
IN CATEGORICAL TIME SERIES 23
3.1 CATEGORICAL TIME SERIES: BASIC TERMS AND NOTATIONS 23
3.2 SUFFIX TRIES AND SUFFIX TREES 25
3.3 SIMILARITIES IN THE RANGE OF A CATEGORICAL TIME SERIES 28
3.4 COMPARING STRINGS AND CATEGORICAL TIME SERIES 30
3.4.1 EXPRESSING SIMILARITY BETWEEN STRINGS 31
3.4.2 THE DOT PLOT - VISUAL SEQUENCE COMPARISON 33
3.5 STRING MATCHING ' 34
4 DETECTING SEQUENTIAL PATTERNS 37
4.1 KDD AND DATA MINING 38
4.1.1 ASSOCIATION RULE MINING 39
4.1.2 SEQUENTIAL PATTERN ANALYSIS 40
4.2 SEQUENTIAL PATTERN ANALYSIS BASED ON SUFFIX TRIES 42
4.3 FINDING FREQUENT PATTERNS IN A CATEGORICAL TIME SERIES 43
4.4 FINDING RARE PATTERNS IN A CATEGORICAL TIME SERIES 45
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/995083134
DIGITALISIERT DURCH
IMAGE 2
DISCOVERING PATTERNS IN CATEGORICAL TIME SERIES USING IFS 49
5.1 ITERATED FUNCTION SYSTEMS 49
5.2 CHAOS ALGORITHM FOR TRANSFORMATION OF A CATEGORICAL PROCESS 50 5.3
PATTERN DISCOVERY BASED ON FRACTAL TIME SERIES 51
5.4 CUBE TRANSFORMATIONS 52
5.5 CIRCLE TRANSFORMATIONS 55
5.6 VISUAL TREE REPRESENTATIONS 57
CONCLUSIONS AND FUTURE PERSPECTIVES 59
CHAPTER II FOUNDATIONS OF CATEGORICAL TIME SERIES ANALYSIS 61 6
STATISTICAL PROPERTIES OF CATEGORICAL RANDOM VARIABLES 63 6.1 MEASURES
OF LOCATION AND DISPERSION 63
6.2 MEASURES OF DEPENDENCE 69
6.2.1 BASIC CONCEPTS 70
6.2.2 PROPORTIONAL REDUCTION OF VARIATION 72
6.2.3 MEASURES BASED ON PEARSON'S X 2 -STATISTIC 75
6.2.4 FURTHER MEASURES OF DEPENDENCE 77
6.2.5 SIGNED DEPENDENCE 79
7 STATISTICAL PROPERTIES OF CATEGORICAL PROCESSES 81
7.1 STATIONARITY OF CATEGORICAL PROCESSES 81
7.1.1 CONCEPTS OF STATIONARITY 81
7.1.2 THE RATE EVOLUTION GRAPH 85
7.2 MEASURES OF SERIAL DEPENDENCE 85
7.2.1 SERIAL DEPENDENCE OF WEAKLY STATIONARY PROCESSES 86 7.2.2 TIME
SERIES BITMAPS 88
7.3 PERIODICITY OF CATEGORICAL PROCESSES 89
7.4 TRENDS IN CATEGORICAL PROCESSES 91
7.5 CATEGORICAL FEATURES: RUNS, CYCLES, PATTERNS 92
8 ELEMENTS OF CATEGORICAL TIME SERIES ANALYSIS 95
8.1 SEQUENTIAL ESTIMATION OF PROBABILITIES 95
8.1.1 MARGINAL PROBABILITIES 95
8.1.2 CONDITIONAL PROBABILITIES 102
8.2 SMOOTHING CATEGORICAL PROCESSES 104
8.3 TRANSFORMING CATEGORICAL PROCESSES 106
8.4 MODEL BUILDING: IDENTIFICATION, ESTIMATION AND EVALUATION 109 8.4.1
MODEL IDENTIFICATION 109
8.4.2 MODEL ESTIMATION 110
IMAGE 3
8.4.3 MODEL EVALUATION AND SELECTION 110
8.5 FORECASTING CATEGORICAL PROCESSES I LL
CONCLUSIONS AND FUTURE PERSPECTIVES 113
CHAPTER III MODELING CATEGORICAL TIME SERIES 115
9 FUNDAMENTAL MODELS FOR CATEGORICAL TIME SERIES 117
9.1 BERNOULLI AND MARKOV MODELS 117
9.1.1 ELEMENTARY PROPERTIES OF ORDINARY MARKOV CHAINS 118 9.1.2
ASYMPTOTIC PROPERTIES OF ORDINARY MARKOV CHAINS 121 9.1.3 ESTIMATION OF
PARAMETERS AND MODEL CHOICE 123
9.2 VARIABLE LENGTH MARKOV MODELS 124
9.2.1 PROBABILISTIC SUFFIX TREES 125
9.2.2 ESTIMATION OF PARAMETERS AND MODEL CHOICE 128
10 A STOCHASTIC MODEL FOR SEQUENTIAL PATTERN ANALYSIS 131
10.1 RULE GENERATION IN SEQUENTIAL PATTERN ANALYSIS - AN INTRODUCTION .
. . 132 10.2 RULE GENERATION IN SEQUENTIAL PATTERN ANALYSIS - IMPLICIT
ASSUMPTIONS . 133 10.3 A SIMPLE MODEL FOR SEQUENTIAL PATTERN ANALYSIS
136
10.4 MODEL-BASED OPTIMIZATION OF SEQUENTIAL PATTERN ANALYSIS 137
11 ADVANCED MODELS FOR CATEGORICAL TIME SERIES 139
11.1 MIXTURE TRANSITION DISTRIBUTION MODELS 139
11.1.1 PROPERTIES OF MTD(P) MODELS 140
11.1.2 MODEL CHOICE AND ESTIMATION OF PARAMETERS 142
11.1.3 A GENERALIZATION OF MTD(P) MODELS 142
11.1.4 INFINITE-MEMORY MTD MODELS 143
11.2 DISCRETE ARMA MODELS 144
11.2.1 DEFINITION AND INTERPRETATION 145
11.2.2 ALTERNATIVE REPRESENTATIONS 148
11.2.3 MARKOV CHAIN REPRESENTATION OF NDARMA MODELS 149 11.2.4 SERIAL
DEPENDENCE STRUCTURE 152
11.2.5 MODEL IDENTIFICATION AND ESTIMATION 156
11.2.6 JOINT DISTRIBUTIONS 158
11.2.7 PREDICTING NDARMA PROCESSES 161
11.2.8 DAR(P) MODELS 163
11.2.9 DAR(P) PROCESSES AS MARKOV CHAINS 167
11.2.10 DMA(Q) MODELS 171
11.3 GENERALIZED CHOICE MODELS 173
11.3.1 THE BACKSHIFT PROCESS OF NDARMA MODELS 173
IMAGE 4
11.3.2 GENERALIZED CHOICE MODELS: DEFINITION AND PROPERTIES 176
11.4 HIDDEN MARKOV MODELS 179
11.4.1 STATE SPACE MODELS 179
11.4.2 HIDDEN MARKOV MODELS: DEFINITION AND BASIC PROPERTIES 181 11.4.3
HIDDEN MARKOV MODELS: MODEL ESTIMATION 186
11.4.4 DECODING THE HIDDEN STATES 188
11.5 REGRESSION MODELS 189
11.5.1 INTRODUCTION TO GENERALIZED LINEAR MODELS 189
11.5.2 REGRESSION MODELS FOR TIME SERIES 191
12 MODELS FOR BINARY TIME SERIES 195
12.1 BASIC PROPERTIES OF BINARY PROCESSES 195
12.1.1 SERIAL DEPENDENCE AND STATIONARITY OF BINARY PROCESSES 195 12.1.2
BINARIZATION OF CATEGORICAL PROCESSES 196
12.2 BINARY MARKOV PROCESSES 197
12.2.1 PROPERTIES OF BINARY MARKOV CHAINS 198
12.2.2 THE MARKOV BINOMIAL DISTRIBUTION 202
12.2.3 HIGHER ORDER BINARY MARKOV PROCESSES 204
12.3 AN ARMA MODEL FOR BINARY PROCESSES 208
12.3.1 THE BINARMA(P,Q) MODEL 209
12.3.2 THE BINAR(P) MODEL 213
12.3.3 THE BINMA(Q) MODEL 214
CONCLUSIONS AND FUTURE PERSPECTIVES 217
CHAPTER IV STATISTICAL ANALYSIS OF CATEGORICAL TIME SERIES 219 13 RUN
STATISTICS FOR CATEGORICAL PROCESSES 221
13.1 RUNS AND RUN LENGTH DISTRIBUTIONS 222
13.2 RUN LENGTH PROPERTIES OF BERNOULLI AND MARKOV PROCESSES 226 13.3
RUN LENGTH PROPERTIES OF NDARMA PROCESSES 232
13.3.1 RUN LENGTH PROPERTIES OF DAR(P) PROCESSES 233
13.3.2 RUN LENGTH PROPERTIES OF DMA(Q) PROCESSES 236
13.4 CYCLES IN CATEGORICAL PROCESSES 239
13.5 PATTERN HISTOGRAMS 241
13.6 ARL COMPUTATION 242
14 PATTERNS AND RUNS IN CATEGORICAL PROCESSES 245
14.1 PATTERNS IN MARKOV PROCESSES 245
14.1.1 PATTERN TRANSITIONS 246
14.1.2 DISTRIBUTION OF PATTERN COUNTS 248
IMAGE 5
14.1.3 MOMENTS OF PATTERN COUNTS 254
14.2 COUNTING RUNS IN MARKOV PROCESSES 255
14.3 REPEATED PATTERNS 260
15 MODELS FOR TIME SERIES OF COUNTS 263
15.1 NDARMA MODELS FOR COUNTS 263
15.2 HIDDEN MARKOV MODELS FOR COUNTS 264
15.3 REGRESSION MODELS FOR COUNTS 266
15.4 THE INGARCH MODEL 270
15.5 THINNING OPERATIONS 276
15.5.1 BINOMIAL THINNING 276
15.5.2 HYPERGEOMETRIC THINNING 279
15.5.3 FURTHER THINNING OPERATIONS 280
15.6 THE INAR(L) MODEL 281
15.6.1 DEFINITION AND INTERPRETATION 281
15.6.2 BASIC PROPERTIES 285
15.6.3 REGRESSION PROPERTIES 286
15.6.4 MODEL ESTIMATION 288
15.6.5 JOINT DISTRIBUTIONS 293
15.7 THE BINOMIAL AR(1) MODEL 295
15.8 BARMA MODELS FOR BINOMIAL MARGINALS 302
16 ADVANCED INTEGER-VALUED ARMA MODELS 305
16.1 INMA(Q) MODELS 305
16.1.1 INTRODUCTION TO INMA(Q) MODELS 306
16.1.2 OVERALL PROCESS DISTRIBUTION 307
16.1.3 INMA(Q) - INDEPENDENT ELEMENTS MODEL 311
16.1.4 INMA(Q) - CHANGING STATES MODEL 313
16.1.5 INMA(Q) - LIFETIME MODEL 316
16.1.6 INMA(Q) - SALE MODEL 318
16.2 INARMA MODELS WITH POISSON MARGINALS 320
16.2.1 POISSON INMA(Q) MODEL 320
16.2.2 POISSON INAR(L) MODEL 323
16.2.3 JUMPS IN POISSON INARMA PROCESSES 325
16.3 INAR(P) MODELS 328
16.3.1 INTRODUCTION TO INAR(P) MODELS 329
16.3.2 INAR(P) - MOVING ELEMENTS MODEL 332
16.3.3 INAR(P) - INDEPENDENT REPRODUCTIONS MODEL 335
16.3.4 INAR(P) - LIFETIME MODEL 337
16.4 COMBINED INAR(P) MODELS 339
16.4.1 CINAR(P) - IDENTICAL THINNINGS MODEL 343
16.4.2 CINAR(P) - INDEPENDENT THINNINGS MODEL 344
16.5 BINOMIAL AR(P) MODELS 345
IMAGE 6
16.5.1 BINOMIAL AR(P) - IDENTICAL THINNINGS MODEL 349
16.5.2 BINOMIAL AR(P) - INDEPENDENT THINNINGS MODEL 350
CONCLUSIONS AND FUTURE PERSPECTIVES 353
CHAPTER V CONTROLLING CATEGORICAL PROCESSES 355
17 AN INTRODUCTION TO STATISTICAL PROCESS CONTROL 357
17.1 TERMS AND AIMS OF STATISTICAL PROCESS CONTROL 358
17.2 A BRIEF REVIEW OF STANDARD VARIABLES CONTROL CHARTS 359
17.2.1 SHEWHART CONTROL CHARTS 360
17.2.2 EVALUATING THE PERFORMANCE OF CONTROL CHARTS 362
17.2.3 EWMA CONTROL CHARTS 363
17.2.4 CUSUM CONTROL CHARTS 365
17.2.5 HOTELLING'S T 2 CONTROL CHART 366
17.3 BASIC CONCEPTS FOR MONITORING A CATEGORICAL PROCESS 367
18 MONITORING THE MARGINAL DISTRIBUTION OF A CATEGORICAL PROCESS 369
18.1 MONITORING BINARY PROCESSES 369
18.1.1 A REVIEW OF SAMPLING APPROACHES 369
18.1.2 GROUP INSPECTION OF DEPENDENT BINARY PROCESSES 375
18.1.3 CONTINUOUS CONTROL: A MOVING AVERAGE APPROACH 380 18.1.4
CONTINUOUS CONTROL: AN EWMA APPROACH 383
18.2 MONITORING CATEGORICAL PROCESSES 389
18.2.1 MONITORING THE COMPONENTS OF THE DISTRIBUTION P 390
18.2.2 MONITORING A SUMMARIZING STATISTIC 390
19 MONITORING RUNS AND PATTERNS IN CATEGORICAL PROCESSES 395
19.1 MONITORING RUNS IN BINARY PROCESSES 395
19.1.1 MONITORING RUNS IN INDEPENDENT BINARY PROCESSES 395 19.1.2
MONITORING RUNS IN DEPENDENT BINARY PROCESSES 401
19.2 MONITORING RUNS IN CATEGORICAL PROCESSES 406
19.3 MONITORING CYCLES IN CATEGORICAL PROCESSES 408
19.4 MONITORING PATTERNS IN CATEGORICAL PROCESSES 409
19.4.1 MONITORING THE FIRST OCCURRENCE OF A CRITICAL PATTERN 410 19.4.2
CONTINUOUS MONITORING OF PATTERNS 411
20 CONTROLLING PROCESSES OF COUNTS 413
20.1 CONTROLLING PROCESSES OF INDEPENDENT POISSON COUNTS 414
20.2 CONTROLLING INAR(L) PROCESSES 418
20.2.1 CONTROLLING INAR(L) PROCESSES: POSSIBLE APPROACHES 419
IMAGE 7
20.2.2 CONTROLLING INAR(L) PROCESSES: ARL PERFORMANCE 421
20.3 CONTROLLING INAR(P) PROCESSES 429
20.4 CONTROLLING INMA(Q) PROCESSES 431
20.5 CONTROLLING BINOMIAL AR(1) PROCESSES 432
20.5.1 CONTROLLING BINOMIAL AR(1) PROCESSES: POSSIBLE APPROACHES . . 432
20.5.2 CONTROLLING BINOMIAL AR(1) PROCESSES: ARL PERFORMANCE . . . 434
CONCLUSIONS AND FUTURE PERSPECTIVES 439
CHAPTER VI APPLICATIONS 441
21 ANALYSIS OF SHAKESPEARE DATA 441
21.1 STATIONARITY ANALYSIS 441
21.2 ANALYSIS OF SERIAL DEPENDENCE STRUCTURE 441
21.3 MODEL-BASED ANALYSIS OF SEQUENTIAL PATTERNS 446
22 ANALYSIS OF DIAGNOSIS DATA 449
22.1 PROCESS CONTROL WITH ESTIMATED PO 450
22.2 PROCESS CONTROL WITH GIVEN P 0 451
22.3 PROCESS CONTROL WITHOUT KNOWLEDGE ON PO 454
23 ANALYSIS OF LOG-IN DATA 457
23.1 MODEL BUILDING 457
23.2 CHECKING MODEL ADEQUACY 459
23.3 CONTROL CHARTING IN PHASE II 459
24 ANALYSIS OF SERVER DATA 463
24.1 STATIONARITY ANALYSIS OF CATEGORICAL TIME SERIES 463
24.2 ACCESS COUNTS: MODEL BUILDING 463
24.3 ANALYSIS OF USER ACTIVITY 466
24.3.1 IP COUNTS PER MINUTE: MODEL BUILDING 466
24.3.2 IP COUNTS WITHIN PERIODS OF 2 MINUTES LENGTH 469
24.3.3 CONTROL CHARTING IN PHASE II 471
APPENDIX: STATISTICAL FOUNDATIONS 473
A PROBABILITY THEORY AND STATISTICS: BASIC CONCEPTS 473
A.I PROBABILITIES IN DISCRETE SAMPLE SPACES 473
A.2 RANDOM VARIABLES 475
A.3 MOMENTS OF DISCRETE RANDOM VARIABLES 477
IMAGE 8
A.4 GENERATING FUNCTIONS 480
A.5 STOCHASTIC PROCESSES 483
A.6 LIKELIHOOD CONCEPTS 485
A.7 CARDINAL ARMA MODELS 487
A.7.1 MA(Q) MODELS 489
A.7.2 AR(P) MODELS 490
POPULAR DISCRETE DISTRIBUTIONS 493
B.I THE BINOMIAL DISTRIBUTION 493
B.2 THE POISSON DISTRIBUTION 495
B.3 THE NEGATIVE BINOMIAL DISTRIBUTION 497
B.4 THE HYPERGEOMETRIC DISTRIBUTION 499
B.5 THE MULTINOMIAL DISTRIBUTION 500
B.6 GENERALIZED BINOMIAL DISTRIBUTIONS 502
B.6.1 CORRELATED TRIALS 502
B.6.2 VARYING THE PROBABILITY OF SUCCESS 503
B.6.3 VARYING THE NUMBER OF TRIALS 503
B.6.4 THE QUASI-BINOMIAL DISTRIBUTION 504
B.7 THE MULTIVARIATE POISSON DISTRIBUTION 505
B.8 THE GENERALIZED POISSON DISTRIBUTION 506
REFERENCES 509
INDEX 531 |
| any_adam_object | 1 |
| author | Weiß, Christian 1977- |
| author_GND | (DE-588)132130149 |
| author_facet | Weiß, Christian 1977- |
| author_role | aut |
| author_sort | Weiß, Christian 1977- |
| author_variant | c w cw |
| building | Verbundindex |
| bvnumber | BV035650293 |
| classification_rvk | SK 845 |
| ctrlnum | (OCoLC)458693035 (DE-599)DNB995083134 |
| dewey-full | 519.55 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.55 |
| dewey-search | 519.55 |
| dewey-sort | 3519.55 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV035650293 |
| illustrated | Illustrated |
| indexdate | 2025-03-05T03:00:26Z |
| institution | BVB |
| isbn | 9783866244429 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017704903 |
| oclc_num | 458693035 |
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| owner | DE-20 DE-634 DE-945 DE-N2 |
| owner_facet | DE-20 DE-634 DE-945 DE-N2 |
| physical | X, 537 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | dissertation.de |
| record_format | marc |
| series | Dissertation Premium |
| series2 | Dissertation Premium |
| spelling | Weiß, Christian 1977- Verfasser (DE-588)132130149 aut Categorical Time Series Analysis and Applications in Statistical Quality Control Chrsitian H. Weiß Berlin dissertation.de 2009 X, 537 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Dissertation Premium 1542 Zugl.: Würzburg, Univ., Diss., 2009 Qualitatives Verfahren stw Statistische Qualitätskontrolle stw Theorie stw Zeitreihenanalyse - Kategoriale Daten Zeitreihenanalyse - Statistische Qualitätskontrolle Zeitreihenanalyse stw Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Kategoriale Daten (DE-588)4327512-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Zeitreihenanalyse (DE-588)4067486-1 s Kategoriale Daten (DE-588)4327512-6 s DE-604 Statistische Qualitätskontrolle (DE-588)4182962-1 s Dissertation Premium 1542 (DE-604)BV021464926 1542 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3327158&prov=M&dok_var=1&dok_ext=htm Inhaltstext text/html http://www.dissertation.de/buch.php3?buch=5926 Ausführliche Beschreibung DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017704903&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Weiß, Christian 1977- Categorical Time Series Analysis and Applications in Statistical Quality Control Dissertation Premium Qualitatives Verfahren stw Statistische Qualitätskontrolle stw Theorie stw Zeitreihenanalyse - Kategoriale Daten Zeitreihenanalyse - Statistische Qualitätskontrolle Zeitreihenanalyse stw Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Kategoriale Daten (DE-588)4327512-6 gnd |
| subject_GND | (DE-588)4182962-1 (DE-588)4067486-1 (DE-588)4327512-6 (DE-588)4113937-9 |
| title | Categorical Time Series Analysis and Applications in Statistical Quality Control |
| title_auth | Categorical Time Series Analysis and Applications in Statistical Quality Control |
| title_exact_search | Categorical Time Series Analysis and Applications in Statistical Quality Control |
| title_full | Categorical Time Series Analysis and Applications in Statistical Quality Control Chrsitian H. Weiß |
| title_fullStr | Categorical Time Series Analysis and Applications in Statistical Quality Control Chrsitian H. Weiß |
| title_full_unstemmed | Categorical Time Series Analysis and Applications in Statistical Quality Control Chrsitian H. Weiß |
| title_short | Categorical Time Series Analysis and Applications in Statistical Quality Control |
| title_sort | categorical time series analysis and applications in statistical quality control |
| topic | Qualitatives Verfahren stw Statistische Qualitätskontrolle stw Theorie stw Zeitreihenanalyse - Kategoriale Daten Zeitreihenanalyse - Statistische Qualitätskontrolle Zeitreihenanalyse stw Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Zeitreihenanalyse (DE-588)4067486-1 gnd Kategoriale Daten (DE-588)4327512-6 gnd |
| topic_facet | Qualitatives Verfahren Statistische Qualitätskontrolle Theorie Zeitreihenanalyse - Kategoriale Daten Zeitreihenanalyse - Statistische Qualitätskontrolle Zeitreihenanalyse Kategoriale Daten Hochschulschrift |
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| volume_link | (DE-604)BV021464926 |
| work_keys_str_mv | AT weißchristian categoricaltimeseriesanalysisandapplicationsinstatisticalqualitycontrol |