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Lawless J.F. — Statistical Models and Methods for Lifetime Data
Lawless J.F. — Statistical Models and Methods for Lifetime Data



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Íàçâàíèå: Statistical Models and Methods for Lifetime Data

Àâòîð: Lawless J.F.

Àííîòàöèÿ:

Doubling as a reference work and as a textbook for advanced students, this book provides a unified treatment of the models and methods used to analyze lifetime data. Chapters concentrate on topics like: observation schemes, censoring, and likelihood; non-parametric and graphical procedures; inference procedures for parametric models; inference procedures for log-location-scale distribution; parametric regression models; semi-parametric multiplicative hazards regression models; rank-type and other semi-parametric procedures for log- location-scale models; multiple modes of failure; goodness-of-fit tests; and, multivariate and related analyses. Key concepts are illustrated with extensive examples from engineering and the biomedical sciences. Lawless teaches statistics and actuarial science at the University of Waterloo


ßçûê: en

Ðóáðèêà: Ìàòåìàòèêà/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Èçäàíèå: second

Ãîä èçäàíèÿ: 2002

Êîëè÷åñòâî ñòðàíèö: 664

Äîáàâëåíà â êàòàëîã: 19.09.2008

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Aalen, O.      40 75 95 137 428 455 456 509 524 525 529 577
Abemethy, R.B.      258 577
Abrahamowicz, M.      137 173 394 574 577
Abramowitz, M.      541 577
Acar, M.      200 588
Accelerated failure time models      see “Log-location-scale models “Regression
Accelerated life tests      264 271 321 329 335
Acceptance sampling      158—161 200 202 253—255
Actuarial science and insurance      39 40 128 136
Adichie, J.N.      428 577
AIDS and HIV infections      66 70 122—123 178—80 571—572
Aisbett, C.W.      530 599
Aitchison, J.      200 201 209 577
Aitkin, A.      201 577
Akritas, M.G.      475 484 486 577
Altschuler, B.      40 137 455 577.
Amato, D, A.      596 .
Andersen, P.K.      39 68 75 95 137 351 353 388 389 390 409 417 428 439 453 485 523 524 551 552 567 570 577 601 602
Anderson, J.A.      137 578
Anderson, K.M.      330 578
Andrews, D.F.      463 578
Anscombe, F.J.      200 202 550 578
Antle.C.E      580 603 607
applications      see “Accelerated life tests” “AIDS “Ball “Bowel “Brake “Breast “Bronchial “Cancer” “Carcinogenesis” “Catheter “Cerebrospinal “Cracks “Diabetic “Electrical “Equipment “Heart “Lupus “Microcircuit “Mortality “Primary “Pulmonary “Radiation “Strength “Toxicity “Wood
Aranda-Ordaz, F.J.      330 389 578
Arjas, E.      75 578
Armitage, P., xvi      40 200 578 602 610
Arnold, B.      542 543 578
Aroian, L.A.      200 578
Arrhenius model      271
Ascher, H.      39 524 532 578
Asselain, B.      603
Asymptotic variance formulas      539—540
Atkinson, A.C.      108 287 329 578
Bacchetti, P.      137 138 578
Bagdonavicius, V.      330 429 522 578 579
Bailey, K.R.      339 388 389 397 579 598
Bain, L.J.      33 165 168 193 200 201 238 255 257 258 579 580 585 589 607
Balakrishnan, N.      39 200 258 261 578 579 592 594 608
Balasooriya, U.      258 579
Ball bearing lifetimes      98 102 234—235 250—252 262 333—334 479—480
Baltazar-Aban, I.      329 579
Bamdorff-Nielsen, O.E.      201 257 545 551 564 579
Bandeen-Roche, K.J.      524 579 596
Bang, J.      525 579
Barlow, R.E.      39 42 44 579
Barlow, W.      389 579
Barnett, V.      108 137 579
Bartholomew, D.J.      5 75 200 579
Bartlett, M.S.      44 156 257 579
Bartolucci, A.      139 579
Bayesian methods      75 137 260 565
Bayesian methods, prediction      199—200 209 266—267
Begtrup, K.      593
Benichou, J.      453 456 579
Bennett, S.      39 329 331 370 579
Beran, R.      201 579
Berger, J.      75 579 580
Berksom J.      130 131 455 580
Bernstein, D.      200 580
Best, D.      469 470 485 603
Betensky, R.      138 389 580
Bfeslow, N.E.      40 95 134 137 138 200 330 388 413428 432 581 602 603
Bhattacharya, O.K.      599
Bickel, P.J.      390 551 580
Bie.O.      137 580
Billmann, B.      228 229 257 580
Bin Daud, I.      389 602
Birnbaum — Saunders distribution      40
Birnbaum, Z.W.      40 580
Bishop, Y.M.M.      134 580
Bivariate models      see “Multivariate lifetime models”
Blischke, W.R.      39 200 258 580
Blom, G.      479 580
Blossfeld, H.P.      40 523 524 580
Boag, J.W.      39 75 143 580
Bogdanoff, D.      260 267 580
Bogdanoff, J.L.      518 525 580
Bohidar, .N.R.      598
Bohning, D.      138 201 580
Bootstrap      90 258 557—560
Bootstrap, parametric      196 558—559
Bootstrap, rionparametric      90 137 559—560
Borgan, O.      75 578 580
Borgman, L.E.      200 581
Bowel motility cycles      529—530
Bowman, A.W.      282 329 580
Box, G.E, P.      75 257 329 336 581
Brake pad lifetimes      69 118—120 180—181 336
Breast cosmesis      142—143 206
Brindley, E.C.      46 581
Bronchial exacerbations      70
Brookmeyer, R.      122 137 524 581 591 610
Brown C.C.      587
Bryant, CM.      161 200 581
Bryson, M.C.      42 581
Buckland, W.R.      39 581
Buckley, T.      427 429 581
Buehler, R.J.      561 565 590
Burke, M.      484 581
Burn-in process      14
Burr, I.W.      39 581
Burridge, J.      200 332 581 605
Byar, D.R      462 581 597
Cai, J.      524 581
Cain, K.C.      389 581
Cancer, bile duct      392 419—420
Cancer, bladder      337—338
Cancer, breast      142—143
Cancer, cervical      462
Cancer, colon      103—104 181—183 326—327 491—492 575
Cancer, Hodgkins disease      139
Cancer, leukemia      5 81—82 86—87 90—92 139 220—222 276—278 288—290 297—298 391—392 417—418
Cancer, lung      6 300—303 316—317 367—370 418—419 574
Cancer, myeloma      205 269 333
Cancer, prostate      462—463
Canfield, R, V.      200 581’
Cao, J.      596 .
Carbone, P.O      205 581
Carcinogenesis      2 140 338—339 528—529
Carey, M.B.      520 581
Carlin, B.P.      75 581
Carlin, J.B.      588
Carstensen, B.      330 388 389 582
Case-cohort design      390
Catheter infections      530—531
Censoring      2 51
Censoring, and asymptotics      61—63 75 95—98
Censoring, as a competing risk      133—134 457 461—462
Censoring, conditions      59—63
Censoring, double      66 75 138
Censoring, ignorable      132
Censoring, independent      59—60 75—76
Censoring, interval      2 51 63—66 75 138 176—177
Censoring, left and right      5
Censoring, mechanism or process      52 58—60
Censoring, nonignorable      132
Censoring, noninformative      59—60
Censoring, progressive type 2      56—57
Censoring, random independent      54—55
Censoring, type 1      52—53
Censoring, type 2      55—56
Censoring, with life tables and grouped data      129 132
Cerebrospinal fluid shunt failures      450—452
Chaloner, K.      329 582
Chan, P.S.      258 579
Chang, Y.C.      596
Chao, M.      156 200 582
Chappell, R.      389 582
Chemoff, H.      75 472 582
Chen, JK’.-W.      606
Chen, M.H.      591
Cheng, R.C.H.      186 201 582
Cheng, S.C.      453 456 463 582
Chhikara, R.S.      40 170 200 204 582
Chiang, C.L.      138 462 582
Chiao, C.H.      607
Chmelevsky, D.      417 428 593
Chow, S.-C      606
Ciampi, A.      200 329 389 577 582 586 607
Ciminera, J, L.      598
Cinlar, E.      521 582
Clarkson, D, B.      138 330 389 594
Clayton, D.G.      496 523 527 582
Cleveland, W.S.      137 582
Clinical trials      5 200
Clustered data      494 498—507
Clustered data, distribution-free tests      344 402—403
Clustered data, exponential      154—157 162—164
Clustered data, in proportional hazards models      344—348 370—375
Clustered data, location-scale      235—238 402—406
Clustered data, logistic and log-logistic      242
Clustered data, normal and log-normal      242—243
Clustered data, parametric tests      235—243
Clustered data, rank tests for      402—420
Clustered data, trend tests      394—395
Clustered data, two- and m-sample tests      235—236 344—348 402—406
Clustered data, Weibull and extreme value      238—242 257 “Comparison
Clustered data, with grouped data      376—381
Cnaan, A.      75 582
Collett, D.      40 139 389 428 582
Colton, T.      xvi
Commenges, D.      592
Competing risks      37 40 433
Competing risks, cause removal      458
Competing risks, identifiability      435 455 “Multivariate
Conditional exact inference      217—218 257 561—566
Conditional exact inference in exponential regression models      332—333
Conditional exact inference in extreme value and Weibull models      223—228 335
Conditional exact inference in generalized log-gamma models      249—252
Conditional exact inference in linear regression models      565—566
Conditional exact inference in location-scale models      217—218 561—566
Conditional exact inference in normal models      231
Condra, L.W.      330 582
Cook, J.A.      381 389 396 428 473 474 485 583
Cook, R.D.      287 329 523 527 583
Cook, R.J.      70 512 524 525 583
Copra, :W.B,      600
Copulas      495 523
Cornfield, J.      455 583
Coroni, C      98 583
Counting processes      62—63 568—570
Counting processes, and lifetime and censoring models      62—63 95—98 568—570
Counting processes, and martingales      62—63 95—98 568—570
Counting processes, intensity function      569
Covariates      2 15—16 34—36 269
Covariates, external and internal      36
Covariates, time-varying      3 15—16 35—36 355—358 424—426
Cox model      see “Proportional hazards model”
Cox, D.R.      35 39 40 75 78 137 154 158 164 165 187 201 257 329 336 342 349 372 388 389 406 455 459 516 522 524 525 532 545 546 551 552 564 579 583 602
Cracks in metal wheels      126—128 176—177
Cramer — von Mises statistic      468
Crepeau, H.      389 603
Critchleyi, F.      557 583
Crowder, M.J.      40 75 313 315 318 320 329 455 456 461 496 523 524 551 552 553 573 583 584 609
Crowley, J.J.      95 134 137 138 275 282 329 389 393 411 428 516 575 581 584 588 592 605
Cumberland, W.G.      607
Cumulative hazard function      9 13—14
Cumulative hazard function, nonparametric estimation of      85—86 117 122 Nelson
Cumulative incidence function      see “Multiple modes of failure”
Cure-rate models      34 40 181—183 201 326—327
Current status data      64—65 126—128 138 205
Currie, I.D.      429 584
Cuzick, J.      428 584
Cystic fibrosis      5
Dabrowska, D.M.      524 584
Dannemiller, M.      200 610
Data, lifetime      1 (see also “Applications” “Censoring” “Observation
David, H, A.      455 456 584
Davis, D J.      39 175 584
Davis, H.T.      43 584
Davis, T.P.      458 459 584
Davison, A.C.      137 215 258 557 559 560 584
Dawid, A.R      201 605
Day, N.E.      330 581
de Boor, C      32 584
De Gruttola, V.      596 608
Degradation measures      518—519 525
Delayed entry      67—70
Delayed entry, independent      68
Design of experiments      74—75 308—311 329 336—337
Design of experiments, factorial plans      336—337 .(see also “Planning studies”)
Desmond, A.F.      40 525 584
Desu, M.M.      596
Deterioration or degradation      325 518—519
Diabetic retinopathy      504—507 575
Diamond, I.R.      138 584
Dickey, J.M.      139 579
Dietz, E.      580
Digamma function      28 40 541
Dinse, G.E.      456 463 584 595
Discrete distributions      10—11 33 46 370 “Life “Regression
Distribution-free methods      344 402—403 “Nonparametric “Rank
Distributions, lifetime      8—16 39
Distributions, lifetime, classification of      41 46
Distributions, lifetime, discrete      10—11 33 46
Distributions, lifetime, multivariate      36—37
Distributions, lifetime, truncated      67
Distributions, lifetime, with covariates      34—36 (see also “Entries under various distributions”)
Ditlevsen, 0.      521 584
DlCiccio, T.J.      551 564 584
Doganaksoy.N.      215 222 257 267 585 600
Doksum, K.A.      521 525 585
Doss, H.      475 486 596
Drake, J.      596 608
Drolette, M.E.      138 585
Dubey, S.D.      258 585
Duchesne, T.      138 321 339 486 523 525 585
Dunsmore, I.R.      200 201 209 577
Durbih, J.      485 486 490 585
Dyer, D.D.      156 585
D’Agostino, R.B.      137 467 468 472 477 478 479 480 481 485 486 584
Efron, B.      75 136 137 138 172 200 215 221 258 352 388 390 432 557 559 585
Elandt-Johnson, R.C.      138 455 456 462 585
Electrical insulation      3 140 208 239—242 264 278—279 290—291 299—300 312—313 335 491
Elveback, L.      138 455 580 585
Empirical cumulative hazard function      see “Nelson — Aalen estimate”
Empirical likelihood      88 552
Engelhardt, M.      165 168 193 200 201 257 585
Epstein, B.      75 158 161 200 586
Equipment failures      5 149
Equipment failures, air conditioners      202 477—478 492
Equipment failures, aluminum reduction cells      171—172
Equipment failures, bus motors      175
Equipment failures, centrifuge cloths      488
Equipment failures, communications receivers      204 459—461
Equipment failures, drill bits      269
Equipment failures, electrical appliances and components      7 112 183—185 381—382 441—444
Equipment failures, electronic units      255—256
Equipment failures, fluorescent lamps      338
Equipment failures, locomotive controls      232—234 245—247
Equipment failures, military personnel carriers      193—194
Equipment failures, tires      458—459
Equivariant estimators      259—260 561—562
Escobar, L.A.      75 126 201 253 255 256 258 310 311 329 525 586 599
Esdaile, J.M.      577
Estimating functions      552—553
Estimating functions, asymptotics      552—553
Etezadi-Amoli, J.      200 586
Etzioni, R.      597
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