Fienberg S.E. — Analysis of Cross-Classified Categorical Data :: Электронная библиотека попечительского совета мехмата МГУ

Главная Ex Libris Книги Журналы Статьи Серии Каталог Wanted Загрузка ХудЛит Справка Поиск по индексам Поиск Форум

Авторизация

Поиск по указателям

Fienberg S.E. — Analysis of Cross-Classified Categorical Data

Обсудите книгу на научном форуме

Нашли опечатку?
Выделите ее мышкой и нажмите Ctrl+Enter

Название: Analysis of Cross-Classified Categorical Data

Автор: Fienberg S.E.

Аннотация:

A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.

Язык:

Рубрика: Математика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: Second Edition

Год издания: 2007

Количество страниц: 216

Добавлена в каталог: 01.07.2008

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID

Предметный указатель

Pauling, L.      8 187
Pearson's chi-square statistic, asymptotic distribution of      40 166
Pearson's chi-square statistic, compared with       40—41 172—173
Pearson's chi-square statistic, correction for continuity      21—22
Pearson's chi-square statistic, definition of      9 40
Pearson's chi-square statistic, small-sample behavior of      172—173
Pearson, E.S.      171 187
Pearson, K.      4 5 9 187
Penick, B.K.E.      32 187
Percentage points for $\chi^{2}$ distribution      171
Perfect tables      49—50 51
Pielou, E.C.      18 187
Pisani, R.      53 182
Plackett, R.L.      xi 2 5 22 23 53 67 184 187
Ploog, D.W.      145 146 187
Poisson distribution, relationship to multinomial      15 30—31 168—169
Poisson distribution, sampling distribution      15 30 167—168
Polytomous response variable      110
Press, S.J.      3 62 104 106 107 109 134 187
Probit transformation      22—23 134
Product-multinomial      see “Multinomial distribution”
Purves, R.      53 182
q      see “Yule's Q”
Quasi-independence      see “Independence”
Quasi-loglinear models      142—150
Rao, C.R.      22 40 57 165 188
Rao, J.N.K.      32 188
RatclifT, D.      38 63 180
Rates, standardized      5
Recursive systems      see “Logit models”
Reiss, A.J., Jr.      24 188
Reiss, I.L.      121 188
Response variables      2 5
Retrospective studies      see “Epidemiological studies”
Ries Smith data      71 74 76—81 97—98
Ries, P.N.      71 188
Rohlf, F.J.      1 188
Rosen, A.      51 186
Rosenberg, M.      68 188
Roy, S.N.      5 188
Sampling distribution      15—16 29—32 see
Savage, I.R.      144 188
Scanlon, W.J.      112 184
Schoener, T.W.      11 13 35 36 188
Schuman, H.      54 180
Scott, A.J.      32 188
Search procedures      see “Model selection
Separability      145
Sewell, W.H.      129 130 188
Shah, V.P.      129 130 188
Simon, G.      62 188
Simpson's paradox      50—51 54
Simpson, E.H.      50 188
Simultaneous equations      see “Logit model simultaneous
Simultaneous test procedure      80
Smith, H.      71 80 180 188
Snedecor, G.W.      1 48 188

Sokal, R.R.      1 188
Solomon, H.      92 188
Sowden, R.R.      66 67 177
Standardization      5
Starmer, C.F.      2 6 37 62 183
Stephan, F.F.      38 180
Stepwise model selection      56—61 77—80
Stouffer, S.A.      158 188
Sufficient statistics, minimal, for general loglinear structures      165 167—168
Sufficient statistics, minimal, for linear logistic response models      102—103
Sufficient statistics, minimal, for models with ordered categories      62 65 66
Sufficient statistics, minimal, for three-dimensional models      33—35
Sundberg, R.      73 189
Talbot, J.      112 189
Taubman, P.      44 189
Testing      see “Goodness-of-fit”
Tetrachoric correlation coefficient      4
Thorndike, R.L.      44 189
Titterington, D.M.      160 186
Toby, J.      158 188
Tolley, H.D.      88 169 170 185
Torrance, E.P.      91 184
Transformations      22—23
triangular arrays      144
Truett, J.      6 105 189
Two-wave, two-variable panel model      125—126
u-terms      see also “Linear contrast”; “Loglinear model”
u-terms, definition      14 28—29
u-terms, relationship to cross-product ratios      16 17
u-terms, standardized estimates of      18 84—88
u-terms, variance of      82—84 88 170
van Alstyne, D.J.      93 189
Vandam, L.      5 6 179
Varner, R.N.      2 185
Wakeley, P.C      95 189
Wales, T.      44 189
Walker, S.H.      3 104 111 189
Wedderburn, R.W.M.      99 101 104 187
Weisberg, S.      144 162 185
Weisbrod, B.A.      112 184
Wermuth, N.      80 89 189
Whittemore, A.S.      49 50 189
William, D.A.      173 174 188
Williams, O.D.      62 148 149 183 188
Wilson, S.      106 107 109 187
Wing, J.K.      64 189
Wold, H.      124 189
Wright, S.      120 189
Yarnold, J.K.      172 189
Yates, F.      21 189
Yule's Q      4 18
Yule, G.U.      4 18 26 190
Zahn, D.A.      6 184
Zero entries, effects on goodness-of-fit statistics      172
Zero entries, fixed      140 142—159
Zero entries, marginal      98—99 141—142
Zero entries, sampling      140—142

1 2

О проекте