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Rao R.C. — Linear Statistical Inference and Its Applications
Rao R.C. — Linear Statistical Inference and Its Applications



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Название: Linear Statistical Inference and Its Applications

Автор: Rao R.C.

Аннотация:

This book is classic work on statistical inference remains highly applicable to statistical analysis. The purpose of this book is to present the theory and techniques of statistical inference in a logically integrated and practical form.


Язык: en

Рубрика: Математика/Вероятность/Статистика и приложения/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: second edition

Год издания: 1973

Количество страниц: 642

Добавлена в каталог: 08.06.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Estimation, Hellinger distance      352
Estimation, inadmissibility of sample mean (Stein)      343
Estimation, information limit to variance (Cramer, Rao)      324—326
Estimation, information matrix      331
Estimation, information measure      329—331
Estimation, Kullback — Leibler separator      352
Estimation, law of equal ignorance      336
Estimation, law of succession      336
Estimation, least squares      See Linear estimation Gauss
Estimation, maximum likelihood      See Maximum likelihood
Estimation, method of moments      351
Estimation, method of scoring      367—370
Estimation, minimax      341
Estimation, minimum chi-square      352
Estimation, minimum variance      317—329
Estimation, pooling of estimators      389
Estimation, sufficient statistic      See Sufficiency
Estimation, СUAN estimator      350
Expectation, conditional (given statistic)      96
Expectation, conditional (given subfield)      141
Expectation, conditional (substitution in)      153
Expectation, definition and theorems      92
Expectation, moments      93
Exponential family of distributions      195
F (central), Fisher      167
Factor analysis      587
Factorial moments      102
Feller, W.      79 153
Ferguson, T.S.      139 153
Fiducial probability      339
Finney, D.J.      373 380
Fisher's F      167
Fisher's z      167
Fisher, R.A.      44 78 167 174 286 312 313 324 329 339 345 348 351 373 380 428 438 442 444 463 502 504 505 513 542 556 566 568 599 602
Fisz, M.      518 603
Focke, J.      304 312
Fortet, R.      154
Fraser — Sprott equation      207
Fraser, D.A.S.      207 340 380 510 513
Frechet, M.      518 602
G-inverse      See Matrix inversion
Gantmacher, F.R.      44 45 46 78
Gart, J.J.      324 380
Gauss — Markoff theory (multivariate), additional information (test for)      551
Gauss — Markoff theory (multivariate), analysis of dispersion      See Analysis of dispersion
Gauss — Markoff theory (multivariate), BLIMBE (best linear minimum bias)      306
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), correlated observations      229
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), efficiency of estimators      233
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), geometric solution      228
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), least squares theory      223
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), normal equations      222 230
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), random parameters      234
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), simultaneous confidence intervals      240
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), simultaneous estimation      233
Gauss — Markoff theory (multivariate), BLUE (best linear unbiased), singular covariance for observations      See Linear estimation-Unified theory
Gauss — Markoff theory (multivariate), choice of design matrix      235
Gauss — Markoff theory (multivariate), covariance analysis      552
Gauss — Markoff theory (multivariate), estimation (BLUE etc.)      544—547
Gauss — Markoff theory (multivariate), Gauss — Markoff model      221
Gauss — Markoff theory (multivariate), growth model      561
Gauss — Markoff theory (multivariate), model (general)      543 544
Gauss — Markoff theory (multivariate), random parameters      234
Gauss — Markoff theory (multivariate), restricted parameters      231
Gauss — Markoff theory (multivariate), structural relationship (dimensionality)      556 564
Gauss — Markoff theory (multivariate), tests of hypotheses      237—240
Gauss — Markoff theory (multivariate), tests of linear hypotheses      547—551
Gauss — Markoff theory (multivariate), variance of estimator      226 230
Gauss — Markoff theory (univariate), BLE (best linear)      305
Gauss, K.F.      220 312
Gauss-Markoff theory (multivariate), applications      562—573
Gayen, A.K.      432 442
Ghosh, J.K.      132 379
Ghosh, Malay      599
Gihman, I.I.      422 442
Girshick, M.A.      497 512 542 602
Glivenko, V.I.      421 442
Gnanadesikan, R.      573 603
Gnedenko, B. V.      79 128 154
Godambe, V.P.      355 377 380 381 513
Goldman, A.J.      220 312
Gram — Schmidt orthogonalization      10
Graybill, F.A.      189 218 252 313
Grenander, U.      79 154 518 602
Growth model (Pothoff, Roy)      561
Guttman, L.      72 78
Hajek, J.      143 154
Haldane, J.B.S.      352 366 381 511 513
Halmos, P.R.      4 78 84 137 154
Hamburger, H.      106 154
Hartley, H.O.      313
Healy, M.J.R.      579 601
Heyde, С.С.      152
Hodges, J.L., Jr.      324 347 381 470 513
Hoeffding, W.      70 504 513
Hoerl, A.E.      306 312
Hogben, L.      444 513
Hogg, R.V.      189 218
Hooke, B.G.E.      272 280 313
Hotelling's $T^$      542
Hotelling's $T^2$ (non-null)      542
Hotelling, H.      542 582 602
Householder, A.S.      21 75 78 231
Hsu, P.L.      228 313 542 602
Huzurbazar's conjecture (sufficiency)      132
Huzurbazar, V.S.      366 381
Hypothesis      See Testing of hypotheses
Identification problem      491
Independence of events      90
Inequalities (algebraic), Bessel      10
Inequalities (algebraic), Cauchy — Schwarz      54
Inequalities (algebraic), Frobenius      31
Inequalities (algebraic), Hadamard      56
Inequalities (algebraic), Hoelder      55
Inequalities (algebraic), information theory      58
Inequalities (algebraic), Jensen      58
Inequalities (algebraic), Kantorovich      74
Inequalities (algebraic), Lagrange identity      55
Inequalities (algebraic), Minkowski      56
Inequalities (algebraic), moments      56
Inequalities (algebraic), Sylvester's law      31
Inequalities (Probability), Berge      145
Inequalities (Probability), Camp — Meidell      145
Inequalities (Probability), Cantelli      145
Inequalities (Probability), Chebyschev      95
Inequalities (Probability), Chebyschev type      145
Inequalities (Probability), Hajek — Renyi      114 143
Inequalities (Probability), Hoelder      149
Inequalities (Probability), Jensen      149
Inequalities (Probability), Kolmogorov      143
Inequalities (Probability), Minkowski      149
Inequalities (Probability), Peek      145
Infinitely divisible distribution      149
Information limit to variance (Cramer, Rao)      324—326
Information measure (Fisher)      329—331
Intrinsic accuracy (Fisher)      331
Invariance, principle for CLT      148
Invariance, principle in estimation      343
Invariance, probability measures      138
Invariance, statistical procedure      139
James, А.Т.      542 602
Jeffreys, G.M.      154 336 381 444 513
Jenkins, G.M.      444 505 512
John, S.      579 603
Joos, George      174 218
Kac, M.      147 154
Kagan, A.      79 218 379 527
Kallianpur, G.      347
Katti, S.K.      322 380
Kempthorne, O.      286 287 313 504 513
Kennard, R.W.      306 312
Khatri, С.G.      29 30 78 165 527 528 543 603
Kiefer, J.      363 381 425 442
Kinchin, A.Ya.      112 146
Kolmogorov, A.N.      79 83 98 128 146 153 322 381 421
Krishnaih, P.R.      543
Kshirsagar, A.M.      593 603
Kyburgh, H.E., Jr.      44 514
Law (zero or one)      148
Law of equal ignorance      336
Law of iterated logarithms      129 130 488
Law of large numbers, Chebychev's theorem (WLLN)      112
Law of large numbers, definition (WLLN, SLLN)      112
Law of large numbers, Kinchin's theorem (WLLN)      112 146
Law of large numbers, Kolmogorov (SLLN)      114 115
Law of large numbers, Kolmogorov (WLLN)      146
Law of large numbers, other theorems      146
Law of succession      336
Lawley.D.V.      587 603
Least squares      See Gauss — Markoff Linear
Lebegue integral      133 134
Lebegue — Stieltjes integral      132
LeCam, L.      347 366 381
Lehmann, E.L.      141 153 322 324 381 411 442 463 470 501 513 514
Lemmas named after authors, Borel — Cantelli      137
Lemmas named after authors, Farka      53
Lemmas named after authors, Fatou      135
Lemmas named after authors, Helly      117
Lemmas named after authors, Kronecker      148
Lemmas named after authors, Neyman — Pearson      446
Lemmas named after authors, Schur      77
Levi, F.W.      22 78
Levy, P.      79 154
Likelihood      353
Likelihood ratio (monotone)      461
Likelihood ratio test (Neyman — Pearson)      417
Limit theorems      See Central limit theorems Law Distributions Convergence
Lindley, D.V.      444 512 514
Linear equations      6
Linear estimation (Unified theory), basic lemma on g-inverse      294
Linear estimation (Unified theory), Gauss — Markoff model      See Gauss — Markoff theory
Linear estimation (Unified theory), general Gauss — Markoff model      297
Linear estimation (Unified theory), I. P. M. method      298
Linear estimation (Unified theory), test for consistency      297
Linear estimation (Unified theory), test of linear hypotheses      299
Linear estimation (Unified theory), U. L. S. method      300
Linear estimation (Unified theory), variances and covariances      298 301
Linnik, Yu., V.      79 154 218 219 286 313 379 463 464 514 527
Lipton, S.      579 601
Loeve, M.      79 86 129 130 147 154
Mahalanobis $D^2$      542
Mahalanobis, P.C.      474 514 595 597
Mann, H.В.      124 154
Mardia, К.V.      178
Markoff, A.A.      220 313
Martin, F.В.      220 313
Mathai, A.M.      543
Matrix circulant      68
Matrix derivatives      71 72
Matrix inversion, computation of g-inverse      27 34 224
Matrix inversion, duality between $A_{-m}$ and $A_{-1}$      49
Matrix inversion, g-inverse      24
Matrix inversion, least squares inverse      48
Matrix inversion, left inverse      16
Matrix inversion, minimum norm inverse      48
Matrix inversion, minimum norm least squares inverse      49
Matrix inversion, Moore — Penrose inverse      26 49
Matrix inversion, reflexive g-in verse      26
Matrix inversion, right inverse      16
Matrix null space      27 31
Matrix nullity      27
Matrix product, Hadamard      30
Matrix product, Kronecker      29
Matrix product, new product (Khatri — Rao)      30
Matrix range space      27
Matrix rank      16
Matrix reduction, commuting matrices      41
Matrix reduction, diagonal form      19 20
Matrix reduction, echolon form      18
Matrix reduction, Frobenius theorem      46
Matrix reduction, Hermite canonical form      18
Matrix reduction, Hermitian matrix      42
Matrix reduction, Householder transformation      21
Matrix reduction, Jordan form      45
Matrix reduction, Metzler matrix      46
Matrix reduction, non-negative matrix      45
Matrix reduction, nonsymmetric matrix      43
Matrix reduction, normal matrix      43
Matrix reduction, pairs of matrices      41
Matrix reduction, Perron's theorem      46
Matrix reduction, polar form      70
Matrix reduction, Q-R-decomposition      21
Matrix reduction, rank factorization      19
Matrix reduction, singular value decomposition      43
Matrix reduction, spectral decomposition      40 45 46
Matrix reduction, symmetric matrix      20 39
Matrix reduction, triangular form      20 22
Matrix trace      28 33 65
Matrix unit (or identity)      15
Matrix, adjoint      76
Matrix, Cayley — Hamilton theorem      44
Matrix, conjugate transpose      16
Matrix, eigen values and vectors      3 8
Matrix, elementary      17
Matrix, g-inverse      See Matrix inversion
Matrix, gramian      69
Matrix, hermitian      17
Matrix, idempotent      28
Matrix, identity (or unit)      15
Matrix, inverse      16
Matrix, inverse, generalized      See Matrix inversion
Matrix, non-negative      45
Matrix, normal      43
Matrix, null      15
Matrix, orthogonal      17
Matrix, partitioned      17
Matrix, symmetric      17
Matrix, transpose      15
Matrix, unitary      17
Matthai, A.      313
Maximum likelihood (m.l.), characterization by m.l. estimators      378
Maximum likelihood (m.l.), distribution of m.l. estimators      365
Maximum likelihood (m.l.), limitation of m.l. method      355
Maximum likelihood (m.l.), m.l. equation estimator      353
Maximum likelihood (m.l.), m.l. estimation of multinomial      355 356—363
Maximum likelihood (m.l.), m.l. estimator      353
Maximum likelihood (m.l.), near m.l. estimator      353
Maximum likelihood (m.l.), properties of m.l. estimator      364
Maximum likelihood (m.l.), scoring for m.l. estimation      366
Maxwell, A.E.      587 603
Mayer, J.W.      160 219
Mayer, M.G.      160 219
Millikin, G.A.      252 313
Minimum trace problems      65—67
Minque theory (variance components)      303
Mitra, S.K.      50 189 220 225 300 313 377 381 504 514 535 603
Moment generating function, binomial      102
Moment generating function, definition      101
Moment generating function, normal      103
Moment generating function, Poisson      102
Moment problem      106
Moore, E.H.      26 78
Moran, P.A.P.      71 78
Moses, L.E.      497 513
Mulholland, H.P.      71 78
Multinomial distribution, definition      355
Multinomial distribution, estimation      356—363
Multivariate moments      107
Multivariate normal distribution, bivariate normal      201
Multivariate normal distribution, characteristic function      184 519
Multivariate normal distribution, characterization      525 526 532
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