Generalized linear models:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Chapman & Hall
1995
|
| Ausgabe: | 2. ed., reprinted |
| Schriftenreihe: | Monographs on statistics and applied probability
37 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 511 S. |
| ISBN: | 0412317605 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804139036881715200 |
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| adam_text | GENERALIZED LINEAR MODELS SECOND EDITION P. MCCULLAGH FRS DEPARTMENT OF
STATISTICS, UNIVERSITY OF CHICAGO AND J.A. NELDER FRS DEPARTMENT OF
MATHEMATICS, IMPERIAL COLLEGE OF SCIENCE AND TECHNOLOGY, LONDON CHAPMAN
& HALL LONDON * GLASGOW * WEINHEIM * NEW YORK * TOKYO * MELBOURNE *
MADRAS CONTENTS PREFACE TO THE FIRST EDITION XVI PREFACE XVIII 1
INTRODUCTION 1.1 1.2 1.3 1.4 1.5 BACKGROUND 1.1.1 THE PROBLEM OF LOOKING
AT DATA 1.1.2 THEORY AS PATTERN 1.1.3 MODEL FITTING 1.1.4 WHAT IS A GOOD
MODEL? THE ORIGINS OF GENERALIZED LINEAR MODELS 1.2.1 TERMINOLOGY 1.2.2
CLASSICAL LINEAR MODELS 1.2.3 R.A. FISHER AND THE DESIGN OF EXPERIMENTS
1.2.4 DILUTION ASSAY 1.2.5 PROBIT ANALYSIS 1.2.6 LOGIT MODELS FOR
PROPORTIONS 1.2.7 LOG-LINEAR MODELS FOR COUNTS 1.2.8 INVERSE POLYNOMIALS
1.2.9 SURVIVAL DATA SCOPE OF THE REST OF THE BOOK BIBLIOGRAPHIE NOTES
FURTHER RESULTS AND EXERCISES 1 1 1 3 4 5 7 8 8 9 10 11 13 14 14 16 16
17 19 19 AN OUTLINE OF GENERALIZED LINEAR MODELS 21 2.1 PROCESSES IN
MODEL FITTING 21 2.1.1 MODEL SELECTION 21 2.1.2 ESTIMATION 23 2.1.3
PREDICTION 25 I CONTENTS 2.2 THE COMPONENTS OF A GENERALIZED LINEAR
MODEL 26 2.2.1 THE GENERALIZATION 27 2.2.2 LIKELIHOOD FUNCTIONS 28 2.2.3
LINK FUNCTIONS 30 2.2.4 SUFFICIENT STATISTICS AND CANONICAL LINKS 32 2.3
MEASURING THE GOODNESS OF FIT 33 2.3.1 THE DISCREPANCY OF A FIT 33 2.3.2
THE ANALYSIS OF DEVIANCE 35 2.4 RESIDUAIS 37 2.4.1 PEARSON RESIDUAL 37
2.4.2 ANSCOMBE RESIDUAL 38 2.4.3 DEVIANCE RESIDUAL 39 2.5 AN ALGORITHM
FOR FITTING GENERALIZED LINEAR MODEIS 40 2.5.1 JUSTIFICATION OF THE
FITTING PROCEDURE 41 2.6 BIBLIOGRAPHIE NOTES 43 2.7 FURTHER RESULTS AND
EXERCISES 2 44 MODELS FOR CONTINUOUS DATA WITH CONSTANT VARIANCE 48 3.1
INTRODUCTION 48 3.2 ERROR STRUETURE 49 3.3 SYSTEMATIC COMPONENT (LINEAR
PREDICTOR) 51 3.3.1 CONTINUOUS COVARIATES 51 3.3.2 QUALITATIVE
COVARIATES 52 3.3.3 DUMMY VARIATES 54 3.3.4 MIXED TERMS 55 3.4 MODEL
FORMULAE FOR LINEAR PREDICTORS 56 3.4.1 INDIVIDUAL TERMS 56 3.4.2 THE
DOT OPERATOR 56 3.4.3 THE + OPERATOR 57 3.4.4 THE CROSSING (*) AND
NESTING (/) OPERATORS 58 3.4.5 OPERATORS FOR THE REMOVAL OF TERMS 59
3.4.6 EXPONENTIAL OPERATOR 60 3.5 ALIASING 61 3.5.1 INTRINSIC ALIASING
WITH FACTORS 63 3.5.2 ALIASING IN A TWO-WAY CROSS-CLASSIFICATION 65
3.5.3 EXTRINSIC ALIASING 68 3.5.4 FUNCTIONAL RELATIONS AMONG COVARIATES
69 3.6 ESTIMATION 70 3.6.1 THE MAXIMUM-LIKELIHOOD EQUATIONS 70 3.6.2
GEOMETRICAL INTERPRETATION 71 CONTENTS IX 3.6.3 INFORMATION 72 3.6.4 A
MODEL WITH TWO COVARIATES 74 3.6.5 THE INFORMATION SURFACE 77 3.6.6
STABILITY 78 3.7 TABLES AS DATA 79 3.7.1 EMPTY CELLS 79 3.7.2 FUSED
CELLS 81 3.8 ALGORITHMS FOR LEAST SQUARES 81 3.8.1 METHODS BASED ON THE
INFORMATION MATRIX 82 3.8.2 DIRECT DECOMPOSITION METHODS 85 3.8.3
EXTENSION TO GENERALIZED LINEAR MODEIS 88 3.9 SELECTION OF COVARIATES 89
3.10 BIBLIOGRAPHIE NOTES 93 3.11 FURTHER RESULTS AND EXERCISES 3 93 4
BINARY DATA 98 4.1 INTRODUCTION 98 4.1.1 BINARY RESPONSES 98 4.1.2
COVARIATE CLASSES 99 4.1.3 CONTINGENCY TABLES 100 4.2 BINOMIAL
DISTRIBUTION 101 4.2.1 GENESIS 101 4.2.2 MOMENTS AND CUMULANTS 102 4.2.3
NORMAL LIMIT 103 4.2.4 POISSON LIMIT 105 4.2.5 TRANSFORMATIONS 105 4.3
MODELS FOR BINARY RESPONSES 107 4.3.1 LINK FUNCTIONS 107 4.3.2 PARAMETER
INTERPRETATION 110 4.3.3 RETROSPECTIVE SAMPLING 111 4.4 LIKELIHOOD
FUNCTIONS FOR BINARY DATA 114 4.4.1 LOG LIKELIHOOD FOR BINOMIAL DATA 114
4.4.2 PARAMETER ESTIMATION 115 4.4.3 DEVIANCE FUNETION 118 4.4.4 BIAS
AND PRECISION OF ESTIMATES 119 4.4.5 SPARSENESS 120 4.4.6 EXTRAPOLATION
122 4.5 OVER-DISPERSION 124 4.5.1 GENESIS 124 4.5.2 PARAMETER ESTIMATION
126 CONTENTS 4.6 EXAMPLE 128 4.6.1 HABITAT PREFERENCES OF LIZARDS 128
4.7 BIBLIOGRAPHIE NOTES 135 4.8 FURTHER RESULTS AND EXERCISES 4 135
MODELS FOR POLYTOMOUS DATA 149 5.1 INTRODUCTION 149 5.2 MEASUREMENT
SCALES 150 5.2.1 GENERAL POINTS 150 5.2.2 MODELS FOR ORDINAL SCALES 151
5.2.3 MODELS FOR INTERVAL SCALES 155 5.2.4 MODELS FOR NOMINAL SCALES 159
5.2.5 NESTED OR HIERARCHICAL RESPONSE SCALES 160 5.3 THE MULTINOMIAL
DISTRIBUTION 164 5.3.1 GENESIS 164 5.3.2 MOMENTS AND CUMULANTS 165 5.3.3
GENERALIZED INVERSE MATRICES 168 5.3.4 QUADRATIC FORMS 169 5.3.5
MARGINAL AND CONDITIONAL DISTRIBUTIONS 170 5.4 LIKELIHOOD FUNETIONS 171
5.4.1 LOG LIKELIHOOD FOR MULTINOMIAL RESPONSES 171 5.4.2 PARAMETER
ESTIMATION 172 5.4.3 DEVIANCE FUNETION 174 5.5 OVER-DISPERSION 174 5.6
EXAMPLES 175 5.6.1 A CHEESE-TASTING EXPERIMENT 175 5.6.2 PNEUMOCONIOSIS
AMONG COALMINERS 178 5.7 BIBLIOGRAPHIE NOTES 182 5.8 FURTHER RESULTS AND
EXERCISES 5 184 LOG-LINEAR MODEIS 193 6.1 INTRODUCTION 193 6.2
LIKELIHOOD FUNETIONS 194 6.2.1 POISSON DISTRIBUTION 194 6.2.2 THE
POISSON LOG-LIKELIHOOD FUNETION 197 6.2.3 OVER-DISPERSION 198 6.2.4
ASYMPTOTIC THEORY 200 6.3 EXAMPLES 200 6.3.1 A BIOLOGICAL ASSAY OF
TUBERCULINS 200 6.3.2 A STUDY OF WAVE DAMAGE TO CARGO SHIPS 204 CONTENTS
XI 6.4 LOG-LINEAR MODEIS AND MULTINOMIAL RESPONSE MODEIS 209 6.4.1
COMPARISON OF TWO OR MORE POISSON MEANS 209 6.4.2 MULTINOMIAL RESPONSE
MODEIS 211 6.4.3 SUMMARY 213 6.5 MULTIPLE RESPONSES 214 6.5.1
INTRODUCTION 214 6.5.2 INDEPENDENCE AND CONDITIONAL INDEPENDENCE 215
6.5.3 CANONICAL CORRELATION MODEIS 217 6.5.4 MULTIVARIATE REGRESSION
MODEIS 219 6.5.5 MULTIVARIATE MODEL FORMULAE 222 6.5.6 LOG-LINEAR
REGRESSION MODEIS 223 6.5.7 LIKELIHOOD EQUATIONS 225 6.6 EXAMPLE 229
6.6.1 RESPIRATORY AILMENTS OF COALMINERS 229 6.6.2 PARAMETER
INTERPRETATION 233 6.7 BIBLIOGRAPHIE NOTES 235 6.8 FURTHER RESULTS AND
EXERCISES 6 236 7 CONDITIONAL LIKELIHOODS* 24 5 7.1 INTRODUCTION 245 7.2
MARGINAL AND CONDITIONAL LIKELIHOODS 246 7.2.1 MARGINAL LIKELIHOOD 246
7.2.2 CONDITIONAL LIKELIHOOD 248 7.2.3 EXPONENTIAL-FAMILY MODEIS 252
7.2.4 PROFILE LIKELIHOOD 254 7.3 HYPERGEOMETRIC DISTRIBUTIONS 255 7.3.1
CENTRAL HYPERGEOMETRIC DISTRIBUTION 255 7.3.2 NON-CENTRAL HYPERGEOMETRIC
DISTRIBUTION 257 7.3.3 MULTIVARIATE HYPERGEOMETRIC DISTRIBUTION 260
7.3.4 MULTIVARIATE NON-CENTRAL DISTRIBUTION 261 7.4 SOME APPLICATIONS
INVOLVING BINARY DATA 262 7.4.1 COMPARISON OF TWO BINOMIAL PROBABILITIES
262 7.4.2 COMBINATION OF INFORMATION FROM 2X2 TABLES 265 7.4.3
ILLE-ET-VILAINE STUDY OF OESOPHAGEAL CANCER 267 7.5 SOME APPLICATIONS
INVOLVING POLYTOMOUS DATA 270 7.5.1 MATCHED PAIRS: NOMINAL RESPONSE 270
7.5.2 ORDINAL RESPONSES 273 7.5.3 EXAMPLE 276 7.6 BIBLIOGRAPHIE NOTES
277 7.7 FURTHER RESULTS AND EXERCISES 7 279 XII CONTENTS 8 MODELS WITH
CONSTANT COEFFLCIENT OF VARIATION 285 8.1 INTRODUCTION 285 8.2 THE GAMMA
DISTRIBUTION 287 8.3 MODELS WITH GAMMA-DISTRIBUTED OBSERVATIONS 289
8.3.1 THE VARIANCE FUNCTION 289 8.3.2 THE DEVIANCE 290 8.3.3 THE
CANONICAL LINK 291 8.3.4 MULTIPLICATIVE MODEIS: LOG LINK 292 8.3.5
LINEAR MODEIS: IDENTITY LINK 294 8.3.6 ESTIMATION OF THE DISPERSION
PARAMETER 295 8.4 EXAMPLES 296 8.4.1 CAR INSURANCE CLAIMS 296 8.4.2
CLOTTING TIMES OF BLOOD 300 8.4.3 MODELLING RAINFALL DATA USING TWO
GENERALIZED LINEAR MODEIS 302 8.4.4 DEVELOPMENTAL RATE OF DROSOPHILA
MELANOGASTER 306 8.5 BIBLIOGRAPHIE NOTES 313 8.6 FURTHER RESULTS AND
EXERCISES 8 314 9 QUASI-LIKELIHOOD FUNETIONS 323 9.1 INTRODUCTION 323
9.2 INDEPENDENT OBSERVATIONS 324 9.2.1 COVARIANCE FUNETIONS 324 9.2.2
CONSTRUCTION OF THE QUASI-LIKELIHOOD FUNCTION 325 9.2.3 PARAMETER
ESTIMATION 327 9.2.4 EXAMPLE: INEIDENCE OF LEAF-BLOTCH ON BARLEY 328 9.3
DEPENDENT OBSERVATIONS 332 9.3.1 QUASI-LIKELIHOOD ESTIMATING EQUATIONS
332 9.3.2 QUASI-LIKELIHOOD FUNCTION 333 9.3.3 EXAMPLE: ESTIMATION OF
PROBABILITIES FROM MARGINAL FREQUENCIES 336 9.4 OPTIMAL ESTIMATING
FUNETIONS 339 9.4.1 INTRODUCTION 339 9.4.2 COMBINATION OF ESTIMATING
FUNETIONS 340 9.4.3 EXAMPLE: ESTIMATION FOR MEGALITHIC STONE RINGS 343
9.5 OPTIMALITY CRITERIA 347 9.6 EXTENDED QUASI-LIKELIHOOD 349 9.7
BIBLIOGRAPHIE NOTES 352 9.8 FURTHER RESULTS AND EXERCISES 9 352 CONTENTS
XIII 10 JOINT MODELLING OF MEAN AND DISPERSION 357 10.1 INTRODUCTION 357
10.2 MODEL SPECIFICATION 358 10.3 INTERACTION BETWEEN MEAN AND
DISPERSION EFFECTS 359 10.4 EXTENDED QUASI-LIKELIHOOD AS A CRITERION 360
10.5 ADJUSTMENTS OF THE ESTIMATING EQUATIONS 361 10.5.1 ADJUSTMENT FOR
KURTOSIS 361 10.5.2 ADJUSTMENT FOR DEGREES OF FREEDOM 362 10.5.3 SUMMARY
OF ESTIMATING EQUATIONS FOR THE DISPERSION MODEL 363 10.6 JOINT OPTIMUM
ESTIMATING EQUATIONS 364 10.7 EXAMPLE: THE PRODUCTION OF LEAF-SPRINGS
FOR TRUCKS 365 10.8 BIBLIOGRAPHIE NOTES 370 10.9 FURTHER RESULTS AND
EXERCISES 10 371 11 MODELS WITH ADDITIONAL NON-LINEAR PARAMETERS 372
11.1 INTRODUCTION 372 11.2 PARAMETERS IN THE VARIANCE FUNETION 373 11.3
PARAMETERS IN THE LINK FUNETION 375 11.3.1 ONE LINK PARAMETER 375 11.3.2
MORE THAN ONE LINK PARAMETER 377 11.3.3 TRANSFORMATION OF DATA VS
TRANSFORMATION OF FITTED VALUES 378 11.4 NON-LINEAR PARAMETERS IN THE
COVARIATES 379 11.5 EXAMPLES 381 11.5.1 THE EFFECTS OF FERTILIZERS ON
COASTAL BERMUDA GRASS 381 11.5.2 ASSAY OF AN INSECTIEIDE WITH A
SYNERGIST 384 11.5.3 MIXTURES OF DRUGS 386 11.6 BIBLIOGRAPHIE NOTES 389
11.7 FURTHER RESULTS AND EXERCISES 11 389 12 MODEL CHECKING 391 12.1
INTRODUCTION 391 12.2 TECHNIQUES IN MODEL CHECKING 392 12.3 SCORE TESTS
FOR EXTRA PARAMETERS 393 12.4 SMOOTHING AS AN AID TO INFORMAL CHECKS 394
12.5 THE RAW MATERIALS OF MODEL CHECKING 396 CONTENTS 12.6 CHECKS FOR
SYSTEMATIC DEPARTURE FROM MODEL 398 12.6.1 INFORMAL CHECKS USING
RESIDUALS 398 12.6.2 CHECKING THE VARIANCE FUNCTION 400 12.6.3 CHECKING
THE LINK FUNCTION 401 12.6.4 CHECKING THE SCALES OF COVARIATES 401
12.6.5 CHECKS FOR COMPOUND DISCREPANCIES 403 12.7 CHECKS FOR ISOLATED
DEPARTURES FROM THE MODEL 403 12.7.1 MEASURE OF LEVERAGE 405 12.7.2
MEASURE OF CONSISTENCY 406 12.7.3 MEASURE OF INFLUENCE 406 12.7.4
INFORMAL ASSESSMENT OF EXTREME VALUES 407 12.7.5 EXTREME POINTS AND
CHECKS FOR SYSTEMATIC DISCREPANCIES 408 12.8 EXAMPLES 409 12.8.1 CARROT
DAMAGE IN AN INSECTICIDE EXPERIMENT 409 12.8.2 MINITAB TREE DATA 410
12.8.3 INSURANCE CLAIMS (CONTINUED) 413 12.9 A STRATEGY FOR MODEL
CHECKING? 414 12.10 BIBLIOGRAPHIE NOTES 415 12.11 FURTHER RESULTS AND
EXERCISES 12 416 MODELS FOR SURVIVAL DATA 419 13.1 INTRODUCTION 419
13.1.1 SURVIVAL FUNETIONS AND HAZARD FUNETIONS 419 13.2
PROPORTIONAL-HAZARDS MODEIS 421 13.3 ESTIMATION WITH A SPECIFIED
SURVIVAL DISTRIBUTION 422 13.3.1 THE EXPONENTIAL DISTRIBUTION 423 13.3.2
THE WEIBULL DISTRIBUTION 423 13.3.3 THE EXTREME-VALUE DISTRIBUTION 424
13.4 EXAMPLE: REMISSION TIMES FOR LEUKAEMIA 425 13.5 COX S
PROPORTIONAL-HAZARDS MODEL 426 13.5.1 PARTIAL LIKELIHOOD 426 13.5.2 THE
TREATMENT OF TIES 427 13.5.3 NUMERICAL METHODS 429 13.6 BIBLIOGRAPHIE
NOTES 430 13.7 FURTHER RESULTS AND EXERCISES 13 430 COMPONENTS OF
DISPERSION 43 2 14.1 INTRODUCTION 432 14.2 LINEAR MODEIS 433 CONTENTS XV
14.3 NON-LINEAR MODEIS 434 14.4 PARAMETER ESTIMATION 437 14.5 EXAMPLE: A
SALAMANDER MATING EXPERIMENT 439 14.5.1 INTRODUCTION 439 14.5.2
EXPERIMENTAL PROCEDURE 441 14.5.3 A LINEAR LOGISTIC MODEL WITH RANDOM
EFFECTS 444 14.5.4 ESTIMATION OF THE DISPERSION PARAMETERS 448 14.6
BIBLIOGRAPHIE NOTES 450 14.7 FURTHER RESULTS AND EXERCISES 14 452 15
FURTHER TOPICS 455 15.1 INTRODUCTION 455 15.2 BIAS ADJUSTMENT 455 15.2.1
MODELS WITH CANONICAL LINK 455 15.2.2 NON-CANONICAL MODEIS 457 15.2.3
EXAMPLE: LIZARD DATA (CONTINUED) 458 15.3 COMPUTATION OF BARTLETT
ADJUSTMENTS 459 15.3.1 GENERAL THEORY 459 15.3.2 COMPUTATION OF THE
ADJUSTMENT 460 15.3.3 EXAMPLE: EXPONENTIAL REGRESSION MODEL 463 15.4
GENERALIZED ADDITIVE MODEIS 465 15.4.1 ALGORITHMS FOR FITTING 465 15.4.2
SMOOTHING METHODS 466 15.4.3 CONCLUSIONS 467 15.5 BIBLIOGRAPHIE NOTES
467 15.6 FURTHER RESULTS AND EXERCISES 15 467 APPENDICES 469 A
ELEMENTARY LIKELIHOOD THEORY 469 B EDGEWORTH SERIES 474 C
LIKELIHOOD-RATIO STATISTICS 476 REFERENCES 479 INDEX OF DATA SETS 500
AUTHOR INDEX 50 1 SUBJECT INDEX 506
|
| any_adam_object | 1 |
| author | McCullagh, Peter 1952- Nelder, John A. 1924-2010 |
| author_GND | (DE-588)129749575 (DE-588)1070718866 |
| author_facet | McCullagh, Peter 1952- Nelder, John A. 1924-2010 |
| author_role | aut aut |
| author_sort | McCullagh, Peter 1952- |
| author_variant | p m pm j a n ja jan |
| building | Verbundindex |
| bvnumber | BV023835770 |
| classification_rvk | SK 840 |
| ctrlnum | (OCoLC)258639333 (DE-599)BVBBV023835770 |
| dewey-full | 519.535 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.535 |
| dewey-search | 519.535 |
| dewey-sort | 3519.535 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 2. ed., reprinted |
| format | Book |
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| id | DE-604.BV023835770 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T21:37:42Z |
| institution | BVB |
| isbn | 0412317605 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017477902 |
| oclc_num | 258639333 |
| open_access_boolean | |
| owner | DE-634 DE-83 |
| owner_facet | DE-634 DE-83 |
| physical | XIX, 511 S. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Chapman & Hall |
| record_format | marc |
| series | Monographs on statistics and applied probability |
| series2 | Monographs on statistics and applied probability |
| spelling | McCullagh, Peter 1952- Verfasser (DE-588)129749575 aut Generalized linear models P. McCullagh and J. A. Nelder 2. ed., reprinted London [u.a.] Chapman & Hall 1995 XIX, 511 S. txt rdacontent n rdamedia nc rdacarrier Monographs on statistics and applied probability 37 Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Lineares Modell (DE-588)4134827-8 gnd rswk-swf Lineares Modell (DE-588)4134827-8 s Statistik (DE-588)4056995-0 s 1\p DE-604 Verallgemeinertes lineares Modell (DE-588)4124382-1 s 2\p DE-604 3\p DE-604 Nelder, John A. 1924-2010 Verfasser (DE-588)1070718866 aut Monographs on statistics and applied probability 37 (DE-604)BV002494005 37 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017477902&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 |
| spellingShingle | McCullagh, Peter 1952- Nelder, John A. 1924-2010 Generalized linear models Monographs on statistics and applied probability Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd Statistik (DE-588)4056995-0 gnd Lineares Modell (DE-588)4134827-8 gnd |
| subject_GND | (DE-588)4124382-1 (DE-588)4056995-0 (DE-588)4134827-8 |
| title | Generalized linear models |
| title_auth | Generalized linear models |
| title_exact_search | Generalized linear models |
| title_full | Generalized linear models P. McCullagh and J. A. Nelder |
| title_fullStr | Generalized linear models P. McCullagh and J. A. Nelder |
| title_full_unstemmed | Generalized linear models P. McCullagh and J. A. Nelder |
| title_short | Generalized linear models |
| title_sort | generalized linear models |
| topic | Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd Statistik (DE-588)4056995-0 gnd Lineares Modell (DE-588)4134827-8 gnd |
| topic_facet | Verallgemeinertes lineares Modell Statistik Lineares Modell |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017477902&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV002494005 |
| work_keys_str_mv | AT mccullaghpeter generalizedlinearmodels AT nelderjohna generalizedlinearmodels |