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Bishop Y.M.M., Feinberg S.E., Holland P.W. — Discrete Multivariate Analysis, Theory and Practice
Bishop Y.M.M., Feinberg S.E., Holland P.W. — Discrete Multivariate Analysis, Theory and Practice



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Íàçâàíèå: Discrete Multivariate Analysis, Theory and Practice

Àâòîðû: Bishop Y.M.M., Feinberg S.E., Holland P.W.

ßçûê: en

Ðóáðèêà: Ìàòåìàòèêà/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1975

Êîëè÷åñòâî ñòðàíèö: 593

Äîáàâëåíà â êàòàëîã: 25.06.2008

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Rearranging data, relabeling      102—105
Regularity conditions      see “Birch’s results for MLEs”
Reinfiirt, D.      284 306 537
Relatives, high order      34
Rho(p) measuring association      381—385
Ries, P.N.      142 143 540
Risk, expected squarred error      313—335
Risk, for comparing Bayesian estimators      406—408
Risk, ratios, limiting      414—416
Risk, relative      11 (see also “Cross-product ratio”)
Robbins, H      403 540
Romig, H.G      436 540
Roscoe, J.T.      410 540
Rosen, B.      368 540
Rourke, R.E.K.      331 332 436 538
Roy, S.N.      84 540
Rudolf, G J      64 344 455 540
Samejima, F.      344 540
Sampling design, constraints on models      36
Sampling design, stratified      29—30
Sampling distribution      62—64 185 212
Sampling distribution, effect on model selection      70—71 (see also “Binomial distribution” “Hypergeometric “Multinomial “Poisson
Sampling models, search for      315—317
Sanathanan, L.      237 255 540
Sandler, I      200 201 202 205 538
Saturated models      9
Savage, I.R.      178 186 540
Schoener, T.W.      164 540
Scoring categorical variables      360
Scott, W.A      369 540
Search procedures      see “Stepwise model selection”
Sekar, C.C.      233 234 235 540
Selesnick, H.L.      107 108 109 540
Sensitivity      20—21 48
Separability, dealing with      184—187
Separability, in $I\times J$ tables      182—183
Separability, in many dimensions      212—216
Separability, semi-      194
Shepard, R.N      298 540
SideLV.      230 542
Silvey, S.D.      370 531
Simplicity in model building      312—315
Skarin, A.T      124 125 248 540
Smith, A.F.M.      403 538
Smith, D.H      210 242 241 540
Smith, H.      142 141 540
Smoothed counts      see “Cell values smoothing”
SMR (Standard Mortality Ratio)      see “Rates standard
Smyllie, H.C.      400 511
Sonquist, J.A.      160 540
Spagnuolo, M.      116 111 111 541
Sparse multinomials      410—413
Specificity      20—22 48
Square tables      281—309 320—324 339—342 347
Standard deviation and stochastic order      476—477
Standardization      see “Fitting iterative classical “Rates”
Star, S.A      117 118 160 541
Starmer, F      284 106 108 151 354 516
Stationarity, of transition probabilities      261—267 269
Stein, C.      403 404 409 541
Stephan, F.F.      84 533
Stepwise model selection      165—167
Steyn, H.S      144 451 454 541
Stochastic order, Chernoff — Pratt theory for      479—484
Stochastic order, definition of      475—476
Stochastic order, methods for determining      476—477
Stochastic order, of exponential variables      477—478
Stochastic order, of moments      485—486 (see also “Stochastic sequence”)
Stochastic sequence, Chernoff — Pratt theory for      479—480
Stochastic sequence, convergence of      463—475
Stochastic sequence, determining order of      476—478
Stochastic sequence, formal structure of      480—482 (see also “Stochastic order”)
Stouffer, S.      137 138 160 541
Structural models, definition of      9—10
Structural models, uses of      11
Stuart, A.      284 541
Suchman, E.A.      117 118 160 541
Sufficient statistics      64—67
Sufficient statistics, for three-dimensional models      66
Sufficient statistics, general derivation of      68—69
Sufficient statistics, minimal set of      66
Sufficient statistics, minimal set of, and direct estimates      78
Summary statistics      see “Association measures “Chi “Frequency of “Rates” “Sufficient
Suppressing parameters      332—337
Sutherland, M      409 412 429 411 411 516 541
Svalastoga, K      100 209 210 228 120 427 541
Symmetry, exact      260
Symmetry, in association measures      376
Symmetry, in square tables      258 282—286 299—306 347—348
Symmetry, quasi-      286—292 303 296
Symmetry, relative      260
Synergism      see “Worcester model”
t      see “Tschuprow’s measure of association”
Taback, M.A.M.      90 517
Tallis, G.M      288 541
Taranta, A      116 117 118 541
Taylor expansion      460—461
Testing, and fitting      317—324
Testing, simplifying structure before      150
Testing, use of asymptotic variances for      498—499 (see also “Interaction” “Partitioning
Tetrahedron, of reference      50
Thayer, D.T.      402 522
Theil, H      151 541
Thomas, G.B.Jr.      416 518
Thompson, V.      221 224 225
Transformations, variance-stabilizing      366—371 491—492 “Arcsine “Logit “Freeman “Probit
Transition probabilities      262—269
Transition probabilities, single sequence      270—273
tree structures      360
triangular arrays      see “Incomplete arrays”
Trinomial distribution, for risk of pseudo-Bayesian estimators      417—419
Truett, J.      159 160 541
Trybula, S      407 541
Tschuprow, A.A.      385
Tschuprow’s measure of association, T      385—387
TSS (total sum of squares)      390
Tukey, J.W.      117 112 119 159 167 168 492 511 534 518 541
U, as collection of u-terms      62
U, as measure of association      389—392
u-terms, definition      17—18
u-terms, generalized notation      61—62
u-terms, interpretation of      29—30 32—34
u-terms, relationship to cross-product ratios      17—18
u-terms, standardized estimates of      141—146 153 156
u-terms, variance of      494—497 (see also “Log-linear model” “Linear
Unsaturated models      9
V, Cramer’s measure of association      386—387
Vandaele, W.      401 542
VanEeden, C.      412 541
Variance, asymptotic      498—499
Variance, asymptotic, for confidence intervals      499—500
Variance, asymptotic, for hypothesis testing      488—499
Variance, for capture-recapture problem      233 240—242 248—254
Variance, for distance measures      518—519
Variance, methods for computing      248—251 (see also “Delta method”)
Variance, stabilizing transformations      491—492 500—501
Variation, measures of      389—393
Varner, R.N      244 262 517
Vechio, T.J.      22 541
Vidmar, N.      201 206 541
Waite, H.      178 541
Waiting times      467—468
Wald, A.      352
Walker, S.H.      259 360 541
Wallace, D.L.      316 317 318 529
Watson, G.S      178 403 405 521 532 541
Weeks, D.L.      215 541
Werner, A      233 535
White, H.C.      191 192 541
Wilks, S.S.      405 541
Williams, D.R.      211 541
Williams, O.D.      353 536
Williams, R.M.Jr.      122 138 160 541
Willick, D.H.      386 387 388 391 541
Wilson, E.B.      527 541
Winsor, C.P.      225 226 541
Wittes, J.T.      230 240 247 252 253 541 542
Worcester model      111
Worcester, J.      96 111 112 141 542
WSS (within-group sum of squares)      390
Y      see Association “Yule”
Yarnold, J.      140 542
Yates, F.      124 542
Yee, A.H.      275 542
Yerushalmy, J.      132 542
Youtz, C.      137 368 492 539
Yuasa, S.      102 103 538
Yule, G.U.      375 377 378 381 382 542
Yule’s Q as measure of association      378—380 501
Yule’s Y as measure of colligation      378—380
Zacks.S.      65 485 542
Zangwill, W.I.      251 225 542
Zelen, M.      365 366 452 542
Zellner, A      261 353 403 522 542
Zero entries, deviations in cells with      140
Zero entries, diagonals with, in square tables      296—299
Zero entries, invalidating model      72
Zero entries, random, defined      59 177
Zero entries, structural      31 59 93 177
Zero entries, unrepeated events in Markov chains      275—276 (see also “Configuration”)
Zorb, G.      245
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