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Berger J.O. — Statistical decision theory and bayesian analysis
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Название: Statistical decision theory and bayesian analysis
Автор: Berger J.O.
Аннотация: "The outstanding strengths of the book are its topic coverage, references, exposition, examples and problem sets... This book is an excellent addition to any mathematical statistician's library." -Bulletin of the American Mathematical Society In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
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Рубрика: Математика /
Статус предметного указателя: Готов указатель с номерами страниц
ed2k: ed2k stats
Издание: 2nd edition
Год издания: 1985
Количество страниц: 617
Добавлена в каталог: 04.12.2005
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Предметный указатель
Right invariant Haar densities 406 409 425 429 430
Rios, S. 199
Risk functions 9 13 23 34
Risk functions continuous 254 544
Risk functions of sequential procedures 442
Risk functions, use in Bayesian robustness 218
Risk point 331
Risk set 331
Robbins, H. 96 168 169 178 215 435
Roberts, H.V. 158 510
Robinson, G.K. 66 259—261
Robustness 69
Robustness and ignoring data 251
Robustness of Bayes rules 195 285
Robustness of Bayes rules, -minimax analysis 215 222
Robustness of Bayes rules, -minimax regret 218
Robustness of Bayes rules, in estimation 208 226
Robustness of Bayes rules, in testing 211 226
Robustness of Bayes rules, posterior measures 205
Robustness of Bayes rules, risk measures 213 218
Robustness of Bayes rules, use of minimaxity 378
Robustness of Bayes rules, with -contamination class 206
Robustness of conjugate priors 195 228
Robustness of empirical Bayes estimators 167
Robustness of hierarchical priors 231
Robustness of losses 61 250
Robustness of maximum entropy priors 94
Robustness of ML-II priors 232
Robustness of models 248
Robustness of noninformative priors 229
Robustness of priors 34 111 195 236
Robustness of priors for determining sample size 441
Robustness of priors, stable estimation 223
Robustness, use of the marginal for 199 248
Rosenblatt, J. 215
Rosenkrantz, R.D. 86 91
Roth, A.J. 100 169
Rubin, D.B. 100 124 169 203 215 510
Rubin, H. 21 50 69 121 195 227 228 260 265 374 460 530 532 533 535
Rubinstein, R.Y. 265
Rukhin, A.L. 206 361 549
Rummel, F. 217
S-games 331 338
Sackrowitz, H.D. 68
Sacks, J. 477 481 542
Sahlin, N.E. 199
Saleh, A.K.Md.E. 361
Sampson, P.F. 100
Samuel-Cahn, E. 500 541
Santner, T. 543
Savage, L.J. 2 26 76 112 119 121 124 152 153 223 281 377 503 504 507
Scale parameters 85 400
Schacter, R.D. 277
Schervish, M.J. 277
Schlaifer, R. 130 151 160 510
Schnieper, R. 169
Schwarz, G. 481
Scissors-Paper-Stone 380
Sclove, S.L. 369
Scoring rules 66
Sedransk, N. 183
Seidenberg, A. 286
Selliah, J.B. 361
Sellke, T. 148 152—154 156 233
Selwyn, M.R. 100 169
Sen, P.K. 361
Sensitivity analysis 196 247
Separating hyperplane 339
Separating hyperplane theorem 339
Sequential analysis 433 441
Sequential analysis, Bayesian 442
Sequential analysis, Bayesian, decision rules 446
Sequential analysis, Bayesian, existence of Bayes procedure 469 472 473
Sequential analysis, Bayesian, procedures for constant posterior risk 447
Sequential analysis, finding and approximating Bayes procedures 448
Sequential analysis, finding and approximating Bayes procedures, accuracy of approximations 462
Sequential analysis, finding and approximating Bayes procedures, asymptotically pointwise optimal 477
Sequential analysis, finding and approximating Bayes procedures, inner truncation 459
Sequential analysis, finding and approximating Bayes procedures, look ahead procedures 455
Sequential analysis, finding and approximating Bayes procedures, solving the functional equation 474 482
Sequential analysis, finding and approximating Bayes procedures, truncated procedures 448
Sequential analysis, loss function for 433 434 511
Sequential analysis, minimax procedures 501
Sequential analysis, stopping rule principle 502
Sequential analysis, testing simple hypotheses 481
Sequential batch sampling 512
Sequential decision procedures 441
Sequential decision procedures, Bayes 445
Sequential decision procedures, existence of 469
Sequential decision procedures, minimax 501
Sequential decision procedures, proper 442
Sequential probability ratio test (SPRT) 481 485 486
Sequential probability ratio test (SPRT), admissibility of 498
Sequential probability ratio test (SPRT), as a Bayes procedure 482 499
Sequential probability ratio test (SPRT), generalized SPRT 540
Sequential probability ratio test (SPRT), one-sided testing 500
Sequential probability ratio test (SPRT), Wald approximations 485
Sequential probability ratio test (SPRT), Wald approximations, accuracy of 495
Sequential sample 433
Shafer, G. 50 59 76 148 156 277 285 286
Shapiro, C. 481
Shigemasu, K. 183
Shinozaki, N. 251 361 369
Shor, S.W.W. 510
Shubik, M. 314
Siegmund, D. 435 500
Significance testing see "Hypothesis testing"
Simon, G. 265
Singpurwalla, N.D. 136 177 277
Sinha, B.K. 225 550
Siow, A. 148 151 153
Slovic, P. 76 82 106 198
Smiriga, N.G. 277
Smith, A.F.M. 106 122 124 156 183 186 249 262 268
Smith, C.A.B. 121 151 199
Smith, G. 364
Smith, W.S. 76 96
Sobel, M. 540 541
Solomon, D.L. 594
Spiegelhalter, D.J. 156 277
Spruill, M.C. 550
Srinivasan, C. 361 542 543 550 553 554
St.Petersburg paradox 57 71
Stable estimation (or stable measurement) 223
Steele, J.M. 594
Stein phenomenon 360
Stein, C. 66 87 159 230 244 256 346 360 361 363 364 369 413 418 420 422 487 537 543 546 547 549 552
Stein, M.L. 264
Stein’s necessary and sufficient condition for admissibility 546
Stewart, L. 265
Stigler, S. 96 116
Stijnen, Th. 169 534 537
Stone, M. 89 90 260
Stopping rule principle 502
Stopping rule principle and admissibility 509
Stopping rule principle, criticisms of 506
Stopping rules 441
Stopping rules, evidential relevance of 502
Stopping rules, informative 510
Stopping time 442
strategies 310
Strawderman, W.E. 221 237 240 353 361 369 534 535 540 541 543
Strenio, J.F. 169
Strictly determined game 318
Student’s t-distribution see "t-distribution"
Subjective probability 74 198
Sudderth, W.D. 121 258 259
Sufficient partition 36
Sufficient statistics 35
Sufficient statistics and convex loss 41
Sufficient statistics and posterior distributions 127
Sufficient statistics in sequential analysis 506
Sufficient statistics, complete class 36 422
Supporting hyperplane 339
Supporting hyperplane theorem 339
Susarla, V. 169
t-distribution 561
t-distribution as location density 83
t-distribution as scale density 88
Table entry problem 86
Takada, Y. 369
Tan, W.Y. 183
Test functions 355
Thayer, D.T. 183
Thisted, R.A. 369
Thomas, L.C. 310 314
Tiao, G.C. 35 89 110 119 133 183 203 228 246 249
Tierney, L. 266
Tjur, T. 595
Toutenburg, H. 369
Transitive group 397 405
Truax, d.r. 539
Truncated procedures see "m-truncated procedures"
Tsao, H.J. 169
Tsui, K.W. 361 363 370
Tversky, A. 76 82 106 198 277
Type I and Type II errors see "Hypothesis testing" "Error
Type II maximum likelihood 99
Ullah, A. 369
Unbiased estimator of risk 361
Unbiased estimator of risk for normal means 362 386
Unbiased estimator of risk for Poisson means 363 386
Uniform distribution 560
Uniform distribution, credible sets for 290
Uniform distribution, invariant estimation 428
Uniform distribution, sequential Bayes 474 516 520
Uniformly most powerful 326
Utility 47
Utility functions 47
Utility functions and loss functions 57
Utility functions for money 53
Utility functions in game theory and minimax analysis 313 314 376
Utility functions in sequential analysis 433
Utility functions, construction of 48 53
Utility functions, construction of, axioms for 49
Utility functions, multidimensional 53
Value (of a game) 318
van der Merwe, A.J. 182
van der Merwe, C.A. 182
van Dijk, H.K. 265
van Houwelingen, J.C. 534 535 537
van Zyl, G. 280 281
Vardeman, S. 549
Vardi, Y. 481
Velleman, P. 265
Verbeek, A. 535
Villegas, C. 83 89
Vinod, H.D. 369
von Neumann, J. 310
Wagner, C. 281
Wald approximations (for an SPRT) 492
Wald approximations (for an SPRT), accuracy of 495
Wald, A. 2 434 435 444 474 481 486 488 492 498 499 523 537
Walker, A.M. 225
Wallace, D.L. 259
Waller, R.A. 169 215
Wardrop, R. 481
Weak conditionality principle 31
Weerahandi, S. 280 281
Weisberg, H.I. 169
Weiss, L. 597
Whitney, A.W. 168
Whittle, P. 435
Widder, D.V. 544
Williams, J.D. 15 330
Winkler, R.L. 76 96 113 277 281
Winsten, C.B. 503
Wolfenson, M. 199
Wolfowitz, J. 499 523
Wolpert, R. 15 26 29 31 32 33 35 110 120 124 126 369 503 506 509 510
Woodroofe, M. 183 481
Yahav, J.A. 477 479 480
Ylvisaker, D. 132 229
Zabell, S. 277 283
Zacks, S. 597
Zaman, A. 542 554
Zeckhauser, R. 281
Zellner, A. 35 89 90 94 110 133 148 151 153 183 228 246
Zeytinoglu, M. 353
Zheng, Z. 369
Zidek, J.V. 89 277 280 281 360 361 369 370 413 423 550 552
Zimmer, W.J. 217
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