Large‐Sample Properties of Minimum Discriminant Information Adjustment Estimates Under Complex Sampling Designs
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[1] S. Haberman. Pseudo-Equivalent Groups and Linking , 2015 .
[2] Shelby J. Haberman,et al. Repeater Analysis for Combining Information from Different Assessments. , 2015 .
[3] Lili Yao,et al. Prediction of true test scores from observed item scores and ancillary data. , 2015, The British journal of mathematical and statistical psychology.
[4] J. R. Lockwood,et al. Linking Reading Coaches and Student Achievement , 2010 .
[5] B. Graham,et al. Inverse Probability Tilting for Moment Condition Models with Missing Data , 2008 .
[6] Carl-Erik Särndal,et al. Generalized Raking Procedures in Survey Sampling , 1993 .
[7] Jiahua Chen,et al. Empirical likelihood estimation for ?nite populations and the e?ective usage of auxiliary informatio , 1993 .
[8] C. Särndal,et al. Calibration Estimators in Survey Sampling , 1992 .
[9] Shelby J. Haberman,et al. Adjustment by Minimum Discriminant Information , 1984 .
[10] R. Gill,et al. Cox's regression model for counting processes: a large sample study : (preprint) , 1982 .
[11] I. Csiszár. $I$-Divergence Geometry of Probability Distributions and Minimization Problems , 1975 .
[12] J. Darroch,et al. Generalized Iterative Scaling for Log-Linear Models , 1972 .
[13] Robert H. Berk,et al. Consistency and Asymptotic Normality of MLE's for Exponential Models , 1972 .
[14] S. Kullback,et al. Marginal Homogeneity of Multidimensional Contingency Tables , 1971 .
[15] S. Kullback,et al. Symmetry and Marginal Homogeneity of an r×r Contingency Table , 1969 .
[16] H. O. Hartley,et al. A new estimation theory for sample surveys , 1968 .
[17] S. Kullback,et al. Contingency tables with given marginals. , 1968, Biometrika.
[18] J. Hájek. Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population , 1964 .
[19] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[20] W. Deming,et al. On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals are Known , 1940 .
[21] Jens Hainmueller,et al. Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies , 2012, Political Analysis.
[22] Jae Kwang Kim. Calibration estimation using exponential tilting in sample surveys , 2010 .