'EM: A general program for the analysis of categorical data 1
暂无分享,去创建一个
[1] F. J. Willekens,et al. A note on log-linear modelling of rates and proportions , 1984 .
[2] Jan de Leeuw,et al. On the relationship between item response theory and factor analysis of discretized variables , 1987 .
[3] Stephen E. Fienberg,et al. Discrete Multivariate Analysis: Theory and Practice , 1976 .
[4] P. Allison. Discrete-Time Methods for the Analysis of Event Histories , 1982 .
[5] Jay Magidson,et al. Qualitative variance, entropy, and correlation ratios for nominal dependent variables , 1981 .
[6] Nan M. Laird,et al. Regression Analysis for Categorical Variables with Outcome Subject to Nonignorable Nonresponse , 1988 .
[7] B. Lindsay,et al. Semiparametric Estimation in the Rasch Model and Related Exponential Response Models, Including a Simple Latent Class Model for Item Analysis , 1991 .
[8] Kazuo Yamaguchi,et al. ALTERNATIVE APPROACHES TO UNOBSERVED HETEROGENEITY IN THE ANALYSIS OF REPEATABLE EVENTS , 1986 .
[9] Aeilko H. Zwinderman,et al. A generalized rasch model for manifest predictors , 1991 .
[10] J. Hagenaars. Loglinear Models with Latent Variables , 1993 .
[11] Leo A. Goodman,et al. Measures, Models, and Graphical Displays in the Analysis of Cross-Classified Data , 1991 .
[12] David Rindskopf,et al. Nonstandard log-linear models. , 1990 .
[13] H. Blossfeld. Techniques of event history modeling , 1989 .
[14] Mark R. Conaway,et al. The Analysis of Repeated Categorical Measurements Subject to Nonignorable Nonresponse , 1992 .
[15] Morton B. Brown,et al. Maximum likelihood methods for log-linear models when expected frequencies are subject to linear constraints , 1986 .
[16] Raymond Sin-Kwok Wong,et al. Extensions in the Use of Log-Multiplicative Scaled Association Models in Multiway Contingency Tables , 1995 .
[17] M. Reiser,et al. Sociological Methodology 1992. , 1993 .
[18] N. Wermuth,et al. On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models , 1990 .
[19] Peter G. M. van der Heijden,et al. The EM algorithm for latent class analysis with equality constraints , 1992 .
[20] A S Whittemore,et al. Censored survival data with misclassified covariates: a case study of breast-cancer mortality. , 1990, Journal of the American Statistical Association.
[21] Harry B. G. Ganzeboom,et al. Intergenerationele beroepsmobiliteit in Nederland: patronen en historische veranderingen , 1995 .
[22] Leo A. Goodman,et al. SIMULTANEOUS LATENT STRUCTURE ANALYSIS IN SEVERAL GROUPS , 1985 .
[23] Wim Jansen,et al. Multilog: Multiple, Categorical Item Analysis and Test Scoring Using Item Response Theory , 1994 .
[24] I. Jolliffe,et al. Nonlinear Multivariate Analysis , 1992 .
[25] H. Kelderman,et al. Loglinear Rasch model tests , 1984 .
[26] Jan de Leeuw,et al. A latent time–budget model , 1990 .
[27] John H. Aldrich,et al. Linear probability, logit and probit models , 1984 .
[28] Robert J. Mislevy,et al. Recent Developments in the Factor Analysis of Categorical Variables , 1986 .
[29] Michel Wedel,et al. A Latent Class Poisson Regression Model for Heterogeneous Count Data , 1993 .
[30] V. Farewell,et al. The use of mixture models for the analysis of survival data with long-term survivors. , 1982, Biometrics.
[31] Angela Dale,et al. Discrete-Time Mixed Markov Latent Class Models , 1994 .
[32] Richard Goldstein. Latent Class and Discrete Latent Trait Models: Similarities and Differences , 1998 .
[33] R.J.H. Engelen,et al. Semiparametric estimation in the Rasch model , 1987 .
[34] Jürgen Rost,et al. Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis , 1990 .
[35] Kirby L. Jackson,et al. Log-linear analysis of censored survival data with partially observed covariates , 1989 .
[36] M. Larson,et al. Covariate analysis of competing-risks data with log-linear models. , 1984, Biometrics.
[37] Jeroen K. Vermunt,et al. Log-Linear Models for Event Histories , 1997 .
[38] Yu-wei Xie,et al. THE LOG-MULTIPLICATIVE LAYER EFFECT MODEL FOR COMPARING MOBILITY TABLES* , 1992 .
[39] P. Schmidt,et al. Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .
[40] M. Hill,et al. Nonlinear Multivariate Analysis. , 1990 .
[41] R. Langeheine,et al. A Unifying Framework for Markov Modeling in Discrete Space and Discrete Time , 1990 .
[42] Jacques A. Hagenaars. Symmetry, quasi-symmetry, and marginal homogeneity on the latent level , 1986 .
[43] G. Guo. Event-history analysis for left-truncated data. , 1993, Sociological methodology.
[44] F. V. D. Pol,et al. MIXED MARKOV LATENT CLASS MODELS , 1990 .
[45] Jeroen K. Vermunt,et al. Log-linear event history analysis: A general approach with missing data , 1996 .
[46] R. Clarke,et al. Theory and Applications of Correspondence Analysis , 1985 .
[47] D. J. Jackson,et al. Factor Analysis and Measurement in Sociological Research. , 1983 .
[48] J. Vermunt,et al. Analyzing Categorical Panel Data by Means of Causal Log-linear Models with Latent Variables: An Application to the Change in Youth-Centrism , 1995 .
[49] A. McCutcheon,et al. Sexual Morality, Pro-Life Values, and Attitudes toward Abortion , 1987, Sociological methods & research.
[50] Leo A. Goodman,et al. Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables , 1986 .
[51] R. Luijkx,et al. Comparative loglinear analyses of social mobility and heterogamy , 1994 .
[52] R. Fay. Causal Models for Patterns of Nonresponse , 1986 .
[53] David Knoke,et al. Analysis of Qualitative Data, Vol. 2: New Developments. , 1981 .
[54] Leo A. Goodman,et al. The analysis of multidimensional contingency tables when some variables are posterior to others: a modified path analysis approach , 1973 .
[55] Barry V. Bye,et al. Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators , 1985 .
[56] Jerald F. Lawless,et al. Statistical Models and Methods for Lifetime Data. , 1983 .
[57] Xiao-Li Meng,et al. Maximum likelihood estimation via the ECM algorithm: A general framework , 1993 .
[58] J. Vermunt,et al. Discrete-Time Discrete-State Latent Markov Models with Time-Constant and Time-Varying Covariates , 1999 .
[59] Edgar F. Borgatta,et al. Sociological Methodology, 1969. , 1969 .
[60] Marcel A. Croon,et al. Latent Structure Models for Ranking Data , 1993 .
[61] J. E. Glynn,et al. Numerical Recipes: The Art of Scientific Computing , 1989 .
[62] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .
[63] C. Fuchs. Maximum Likelihood Estimation and Model Selection in Contingency Tables with Missing Data , 1982 .
[64] Robert J. Mislevy,et al. Estimation of Latent Group Effects , 1985 .
[65] A. Rogers,et al. Multidimensional Mathematical Demography , 1982 .
[66] Nan M. Laird,et al. Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques , 1981 .
[67] Shelby J. Haberman,et al. Dispersion of Categorical Variables and Penalty Functions: Derivation, Estimation, and Comparability , 1995 .
[68] J. Heckman,et al. Population heterogeneity in demographic models. , 1982 .
[69] Karl G. Jöreskog,et al. LISREL 7: A guide to the program and applications , 1988 .
[70] Ulf Böckenholt,et al. Latent change in recurrent choice data , 1996 .
[71] S. Fienberg,et al. Identification and estimation of age-period-cohort models in the analysis of discrete archival data , 1979 .
[72] J. Heckman,et al. The Identifiability of the Proportional Hazard Model , 1984 .
[73] P. McCullagh,et al. Generalized Linear Models , 1992 .
[74] B. Muthén. A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators , 1984 .
[75] Shelby J. Haberman,et al. Conditional Log-Linear Models for Analyzing Categorical Panel Data , 1994 .
[76] Robert D. Mare,et al. DISCRETE-TIME BIVARIATE HAZARDS WITH UNOBSERVED HETEROGENEITY: A PARTIALLY OBSERVED CONTINGENCY TABLE APPROACH , 1994 .
[77] Richard B. Davies,et al. Analyzing social and political change : a casebook of methods , 1994 .
[78] Robert J. Mislevy,et al. BILOG 3 : item analysis and test scoring with binary logistic models , 1990 .
[79] A. Agresti,et al. Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses , 1994 .
[80] M. Becker,et al. Maximum Likelihood Estimation of the RC(M) Association Model , 1990 .
[81] Peter Burke,et al. Log-linear models , 1980 .
[82] Jan de Leeuw,et al. Constrained latent budget analysis , 1992 .
[83] Clifford C. Clogg,et al. Some Models for the Analysis of Association in Multiway Cross-Classifications Having Ordered Categories , 1982 .
[84] L. A. Goodman. Exploratory latent structure analysis using both identifiable and unidentifiable models , 1974 .
[85] J. Hagenaars. Latent Structure Models with Direct Effects between Indicators , 1988 .
[86] Michel Wedel,et al. Concomitant Variable Latent Class Models for the External Analysis of Choice Data , 1992 .
[87] M. Hannan,et al. Social Dynamics: Models and Methods. , 1986 .
[88] L. A. Goodman. Simple Models for the Analysis of Association in Cross-Classifications Having Ordered Categories , 1979 .
[89] Clifford C. Clogg,et al. Some latent structure models for the analysis of likert-type data , 1979 .
[90] C. Clogg,et al. Analysis of Sets of Two-Way Contingency Tables Using Association Models , 1989 .
[91] S. Haberman. Analysis of qualitative data , 1978 .
[92] David J. Bartholomew,et al. New Developments in Latent Structure Analysis Applied to Social Attitudes , 1996 .
[93] J. Vermunt,et al. Causal log-linear modeling with latent variables and missing data , 1996 .
[94] F. Krauss. Latent Structure Analysis , 1980 .
[95] Clifford C. Clogg,et al. Some Common Problems in Log-Linear Analysis , 1987 .
[96] S G Baker,et al. Regression analysis of grouped survival data: informative censoring and double sampling. , 1993, Biometrics.
[97] S G Baker. Regression analysis of grouped survival data with incomplete covariates: nonignorable missing-data and censoring mechanisms. , 1994, Biometrics.
[98] Alan Agresti,et al. Computing conditional maximum likelihood estimates for generalized Rasch models using simple loglinear models with diagonals parameters , 1993 .
[99] Guang Guo,et al. Estimating a Multivariate Proportional Hazards Model for Clustered Data Using the EM Algorithm, with an Application to Child Survival in Guatemala , 1992 .
[100] Marcel A. Croon,et al. Latent class analysis with ordered latent classe , 1990 .
[101] William H. Press,et al. Numerical recipes in C. The art of scientific computing , 1987 .
[102] Jan de Leeuw,et al. A Latent Markov Model to Correct for Measurement Error , 1986 .
[103] A. Formann. Linear Logistic Latent Class Analysis for Polytomous Data , 1992 .
[104] N. Wermuth,et al. Graphical and recursive models for contingency tables , 1983 .
[105] Marcel A. Croon,et al. Latent Class Models for the Analysis of Rankings , 1989 .
[106] Charles H. Proctor,et al. A probabilistic formulation and statistical analysis of guttman scaling , 1970 .
[107] Paul F. Lazarsfeld,et al. Latent Structure Analysis. , 1969 .
[108] George B. Macready,et al. Concomitant-Variable Latent-Class Models , 1988 .
[109] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .