Back MatterSource: Lecture Notes-Monograph Series, Vol. 6, The Likelihood Principle (1988), pp. 200-208Published by: Institute of Mathematical StatisticsStable URL: http://www.jstor.org/stable/4355510 .
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Index of Examples
Example 1: 5, 11, 13, 14
Example 2 (Cox): 6, 11, 13, 15, 16, 45
Example 3: 7, 15, 17
Example 4a: 8
Example 4b: 8, 17
Example 5 (Stein estimation): 9
Example 6 (Student's t): 12, 13
Example 7: 13, 15
Example 8: 17
Example 9: 20, 21.2, 56
Example 10: 21
Example 11: 37
Example 11.1: 41.1, 41.6
Example 12 (Regression): 41.4
Example 13: 44
Example 14 (Mauldon): 14, 48, 49, 55, 57
Example 15 (Blackwell, Buehler, Rubin): 61
Example 16
Example 17
Example 18
Example 19
69, 138, 139
70
72
73
Example 19.1: 74.1
Example 20 (Armitage): 75, 77, 78, 80, 81, 82, 83
Example 21
Example 22
Example 23
76, 80, 82, 83, 85
79
88
Example 24 (Pratt): 91, 93, 95
Example 25
Example 26
Example 27
Example 28
Example 29
Example 30
Example 30
Example 30
Example 31
Example 32
Example 33
92, 95
93
93, 95, 96, 102
94
95, 96, 99, 102, 103
106, 108, 109.1
1: 107
2: 109.1
113, 114, 116, 117
116
117, 118, 119
Example 34 (Fraser-Monette-Ng): 127, 135, 167-171, 189
Example 35 (Stone): 129, 135, 136, 165-167
Example 36 (Stein): 133, 135, 162-164, 185, 188, 197-198
Example 37: 139
200
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Author Index
AITCHISON, J. 40, 180
AITKIN, M. 41.4, 125
AKAIKE, M. 56
AMARI, S. 14
ANDERSEN, ?.?. 11, 14, 123
ANSCOMBE, F.J. 74, 78, 174.1
ARMITAGE, P. 80
ASPIN, A.A. 12
BAHADUR, R.R. 38
BERNARDO, J.M. 68, 138
BERRY, D. 67, 74.1
BHAVE, S.V. 26
BIRNBAUM, A. 1, 2, 21.1, 22, 24, 25, 26, 27, 29, 30, 42, 46, 47, 66, 71, 74, 91, 123, 124, 125, 174.2, 175, 178
BLACKWELL, D. 61
BONDAR, J.V. 13, 60, 133
BOX, G.E.P. 67, 68, 109.4, 122, 136
BROWN, L.D. 12, 14, 17
BARNARD, G.A. 1, 10, 14, 18, 22, 47, BROWNIE, C. 14 48, 49, 71, 74, 83, 105, 106, 109.4, 123, 140
BARNDORFF-NIELSEN, 0. 11, 14, 26, 41.3, 52, 123
BARNETT, V. 14, 18, 22, 105, 123
BARTHOLOMEW, D.J. 74
BARTLETT, M.S. 22
BUEHLER, R.J. 12, 13, 14, 60, 61, 62
BUNKE, H. 48
BUTLER, R. 40, 41.2
CASELLA, G. 9, 109, 109.4
CASSEL, CM. 117
BASU, D. 14, 22, 25, 26, 28, 29, 42, CORNFIELD, J. 6, 12, 60, 74, 117 47, 74, 80, 115, 117, 119, 120, 126, 135, 175, 176 COX, D.R. 6, 11, 14, 22, 26, 41.3,
71, 105, 106, 107, 123 BAYARRI, M.J. 21.2, 39, 41.2, 160.6,
187 DAWID, A.P. 14, 18, 22, 25, 26, 41.3
BERGER, J. 14, 16, 17, 18, 24, 26, 47, 48, 104, 175, 177 37, 41.1, 47, 49, 52, 56, 67, 68, 69, 70, 71, 74, 74.1, 105, 108, DEFINETTI, B. 55, 68, 71, 170, 172 109, 109.2, 116, 121, 133, 134, 136, 137, 138, 140, 190, 193, 196 DEGROOT, M.H. 21.2, 39, 41.2, 109,
109.4, 160.6, 187 BERGER, R. 109, 109.4
DELAMPADY, M. 105, 109, 109.2
BERLINER, L.M. 39, 138
201
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202 AUTHOR INDEX
DEMPSTER, A.P. 11, 105, 106, HO
DICKEY, J.M. 104, 109, 109.4, 131, 136, 196
DURBIN, J. 45, 175
DUNSMORE, I.R. 40, 180
EDWARDS, A.W.F. 22, 71, 106, 123
EDWARDS, W. 74, 78, 105, 107, 109
EFRON, ?. 11, 14, 138
ERICSON, W.A. 117
EVANS, M. 26, 47, 127
FEDDERSON, A.P. 12
FISHER, R.A. 1, 11, 12, 13, 14, 18, 19, 22, 117, 122, 123
FOLKES, J.L. 117
FRASER, D.A.S. 12, 18, 26, 47-50, 613 62, 109.4, 127, 131, 132
FREEDMAN, D.A. 60
GEISSER, S. 40, 180
GIERE, R.N. 71
GODAMBE, V.P. 42, 47, 70, 71, 117
GOOD, I.J. 47, 105, 109, 120, 122, 124, 137, 138, 174.3
GRAMBSCH, P. 14, 123
HACKING, I. 18, 71, 105, 109.3, 123
HAJEK, J. 140
HALL, P. 105
HARTIGAN, J. 160.2
HEATH, D. 60, 64, 165
HENKEL, R.E. 106
HILL, B. 21, 21.1, 52, 55, 62, 120, 124, 129, 130, 131, 132, 164- 166, 173-174.4
HINDE, J. 41.4, 125
HINKLEY, D.V. 11, 14, 22, 40, 41.3, 71, 105, 123
HWANG, J.T. 9
JAMES, W. 9, 57
JAMES, William 174.4
JAYNES, E.T. 68, 71, 127, 138
JEFFREYS, H. 11, 21, 23, 56, 68, 71, 82, 106, 108, 109, 109.4, 129
JENKINS, G.M. 22, 47, 74, 123, 140
JOSHI, V.M. 29, 42
KADANE, J. 21.2, 39, 41.2, 160.6, 187
KALBFLEISCH, J.D. 40, 41.3, 46, 47, 117, 123, 124
KAY, R. 41.3
KEMPTHORNE, 0. 117
KIEFER, J. 14,.16, 17, 71
LANE, D.A. 60, 64, 164, 165, 172, 176, 180
LAURITZEN, S.L. 40
LE CAM, L. 71, 192
LEVI, I. 60, 124
LINDLEY, D.V. 10, 21, 55, 82, 109, 120
LINDMAN, H. 74, 78, 105, 107, 109
MACKAY, J. 109.4
MAULDON, J.G. 48
MILNES, P. 133
MONETTE, G. 26, 47, 127
MORRISON, D.F. 105
NEYMAN, J. 45, 66, 71, 74
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AUTHOR INDEX 203
NG, K.W. 127
NOVICK, M. 120
OLSHEN, R.A. 12
PEDERSEN, J.G. 13, 18
PEISAKOFF, M. 133
PHILLIPS, L.D. 21
PICCINATO, L. 10
PIERCE, D.A. 13, 60
PLACKETT, R.L. 18
PLANTE, A. 124
POCOCK, S.J. 74.1
PRATT, J.W. 8, 10, 11, 14, 15, 22, 70, 71, 74, 88, 91, 105, 109, 109.3, 109.4, 116
PURVES, R.A. 60
RAIFFA, H. 90
RAO, C.R. 115, 116, 117
ROBINSON, G.K. 10, 13, 59-62
ROSENKRANTZ, R.D. 68
ROYALL, R. 115, 117
RUBIN, D.B. 115, 120
RUBIN, H. 61
S?RNDAL, CE. 117
SAVAGE, L.J. 2, 10, 46, 66, 74, 78, 83, 91, 105, 107, 109, 120-121, 124, 139, 163, 174.2
SCHLAIFER, R. 90
SEIDENFELD, T. 14
SELINGER, ?. 105
SELL IAH, J. 57
SELLKE, T. 108, 109
SHAFER, G. 109
SMITH, A.F.M. 109
SMITH, CA.?. 121
SMITH, T.M.F. 117
SPIEGELHALTER, D.J. 109
SPROTT, D.A. 18, 41.3, 48, 117, 123, 124
STEIN, C 9, 10, 13, 57, 133, 134, 162
STONE, M. 18, 48, 129, 130, 131, 132, 172
SUDDERTH, W. 60, 64, 165, 172, 176, 180
THOMPSON, M.E. 70, 117
TIAO, G. 68, 122, 136
TJUR, T. 123
WALLACE, D.L. 13, 60
WELCH, B.L. 10, 12, 14
WILKINSON, G.?. 18, 47
WINSTEN, C.B. 22, 47, 74, 123, 140
WRETMAN, J.H. 117
YATES, F. 12
ZELLNER, ?. 68, 109, 109.4
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Subject Index
Adhockeries 124
Admissibility 47, 50-59, 89-83, 128, 174.4
Ancillarity 13, 14, 16, 17, 25, 41.3, 41.4
Bayesians 114, 115, 160.7, 174
Use of frequentist measures 69, 70, 162, 164, 174, 185, 187-190, 197
In sequential experiments 81, 82
Robust 136-140
see also Likelihood methods
Noninformative priors
Betting 59, 168-171, 191,192, 195
Censoring 90-104
Fixed 92-95
Random 95-104
Noninformative 103, 104
Censoring mechanisms
Equivalent 93-95
Noninformative 91, 96-103
Chi-square test 109.1, 109.2
Coherency 47, 48, 50, 59-64, 121, 122, 128, 165, 168, 172, 192-193
Conditioning 3, 5-18, 22, 24, 174.1
Conditional frequentist 14-17, 22
Conditional confidence 14, 15, 17
Estimated confidence 16, 17
Confidence sets 5, 6, 9, 15, 16, 55, 61, 62, 66, 69, 70, 72, 113-135
Design of experiments 36, 40
Evaluation game 52-59, 61, 62
Evidence 25, 31, 37, 41, 41.5, 45, 66, 68, 160.7, 174-174.1, 183- 185.2, 196-197.2
Ev(E,x) 25
???(?.?) 37
Experiment 24, 29, 31, 176-178, 193-194
Noninformative 21.2, 42, 89
(?, ?, {feD 24
Fiducial inference 18
Finite population sampling
see Randomization analysis
Frequentist Bayesian 23, 24
Frequentist viewpoint 5-18, 65-74.2, 77-83, 105-109, 127-136, 182-183
204
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SUBJECT INDEX 205
Good Samaritan 132
Hoax 78
see also Frequentist viewpoint
Invariance 30, 133
Likelihood function 19-22, 30, 38, 39, 40, 43, 44, 67, 76, 82, 97, 113, 114, 116, 122-126, 133, 135, 136, 141, 160.3-160.7, 186-187
Marginal 41.1, 41.2
Partial 41.3
Reduced 41.2
Likelihood methods
Bayesian 23, 41.2, 41.5, 124-141
Non-Bayesian 11, 14, 18, 39, 41.3, 41.4, 122-124
Likelihood ratios 21, 22, 33, 107, 123
Weighted 108, 109
Mixed experiments 6, 31, 46, 47, 51, 57, 63, 84, 85
E* 31
Models 43, 67, 72, 114, 115, 120, 126, 127, 160.5, 160.6, 176-181, 185.1, 185.2, 193-194, 197.1
Noninformative prior 21, 41.3, 52, 56, 65, 67-69, 80, 129, 130, 133, 135, 136, 140, 161-174, 188-190
Nuisance parameter 4, 13, 36, 37, 41- 41.6, 160.5
Noninformative 41.5, 89, 90, 115, 125
Objectivity 67, 68, 80, 174.3
Optional stopping 77-83
see also Stopping rules
P-value, see Significance testing
Pivotal and Structural inference 18, 25, 47-51, 54-59
Prediction 36-39, 41.1, 180-181, 194
PRINCIPLES
Adequacy 8, 15
Censoring 1 (CP1) 94-95
Censoring 2 (CP2) 97-103
Conditionality (CP) 1, 25, 30
Weak (WCP) 25, 26, 28, 31, 33, 35, 36, 45, 46, 51, 57, 63, 84, 85
Confidence 66-67, 71-74
Formal 71, 72
Distribution (DP) 47
Likelihood (LP) 19, 174
Formal 26
Nuisance variable 41
Relative (RLP) 32-36, 44, 63, 64, 87, 98-101, 141
Margi nalization 41.1
Noninformative nuisance parameter (NNPP) 41.5, 90, 97
Stopping rule (SRP) 33, 40, 74, 76, 87, 174.1
General 86
Sufficiency (SP) 1, 29, 30, 32, 35, 46-50, 178-179, 192
Weak (WSP) 26, 28
Mathematical equivalence 26
Procedures 41, 68-70
Random effects 41.1
Randomization analysis 110-120
Finite population sampling 111-117
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206 SUBJECT INDEX
Randomization testing 117-120
Relevant subsets 11-16
Repeatability 70, 71
Risk
Bayesian 32
Frequentist 52
Robustness 10, 11, 44
Sequential analysis 37-40, 79-90, 174.1
Significance testing 7, 74.1, 74.2, 104-110
Stein phenomenon 9, 174
Stopping rules 20, 40, 74-90
Definitions 75, 86
Informative 88-90
Structural inference
see Pivotal and Structural
Sufficiency 7, 18, 19, 24, 31, 32, 35, 38, 45, 57
Unobserved variables 36-41, 41.1
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207
ERRATA AND CLARIFICATIONS
3 The notation "17 " means page 17, line 3 from the top; "17." means
page 17, line 4 from the bottom.
g p. 2 : impune -> inpugn
p. II11: ?(?)'1 - ?(?,?)"1
p. Il12: He)"1 - ?(?)"1
p. 16*: ...forget about ?... -> ...forget about ? in evaluating the procedure.,
p. 184: ??
- P0
2
p. 45 : principal -* principle
13 p. 49 : Note that a structuralist or pi votai ist would not consider S to be
sufficient.
p. 277: SP + WSP
p. 35^: x1 G
%1 -*
XjG U1
p. 45 : principal ?* principle
p. 53 : for any ? -*? for every G
p. 738: .01 - .0101
p. 751Q: change to "Am
? (?. ? %m~J) = 0"
p. 77 : looks + look
Add "for n=n* and xn*G A*" p. 844
p. 869
p. 865
p. 8810, 897, 8910: auxilliary ?* auxiliary
p. 93 : largest -* smallest
by -> be
IN denotes the natural numbers {0,1,2,3...}.
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208 ERRATA AND CLARIFICATIONS
p. 978: Section 3.5.5 -* Section 3.5.3.
p. 9715, ? 97n, p. 977: Change to "Eve(Eg'v,y)"
P. 986: Replace both occurrences of "Ev" with
"???".
p. 997: c((x,A)) - c(g(x,x))
p. H913: change to "experimenter-induced"
p. 12510: Aitken -> Aitkin
p. 126 , 136.-.: Note that ??(?) has to be properly normalized to be an actual
probability density with respect to p.
13 p. 134 : inappropriate -> appropriate
p. 136,o: inexolorably -> inexorably
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ISBN 0-940600-13-7
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