Chapter 12 – Missing Data: A Review of the Literature
暂无分享,去创建一个
Alexander Basilevsky | Andy B. Anderson | Derek Hum | A. Basilevsky | Derek Hum | D. Hum | Andy B. Anderson | Alexander Basilevsky | Derek Hum
[1] M A Woodbury,et al. Applications of a factor-analytic model in the prediction of biological data. , 2007, Behavioral science.
[2] Subhash C. Ray,et al. Selection biases in sociological data , 1982 .
[3] Arthur S. Goldberger,et al. Linear regression after selection , 1981 .
[4] R. Olsen,et al. A Least Squares Correction for Selectivity Bias , 1980 .
[5] R. Little,et al. Maximum likelihood inference for multiple regression with missing values , 1979 .
[6] N. C. Schwertman,et al. A Note on the Geisser-Greenhouse Correction for Incomplete Data Split-Plot Analysis , 1978 .
[7] R. R. Hocking,et al. Methods of Analysis of Linear Models with Unbalanced Data , 1978 .
[8] Jae-On Kim,et al. The Treatment of Missing Data in Multivariate Analysis , 1977 .
[9] D. Rubin. Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys , 1977 .
[10] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[11] Arthur Cohen,et al. A result on hypothesis testing for a multivariate normal distribution when some observations are missing , 1977 .
[12] D. Titterington,et al. A comparison of iterative methods for obtaining maximum likelihood estimates in contingency tables with a missing diagonal , 1977 .
[13] Olive Jean Dunn,et al. Alternative Approaches to Missing Values in Discriminant Analysis , 1976 .
[14] G. Chow,et al. Best Linear Unbiased Estimation of Missing Observations in an Economic Time Series , 1976 .
[15] Marcel G. Dagenais,et al. Incomplete observations and simultaneous-equations models , 1976 .
[16] Alastair Scott,et al. Missing Variables in Bayesian Regression II. , 1976 .
[17] Donald B. Rubin,et al. Comparing Regressions When Some Predictor Values Are Missing , 1976 .
[18] E. Beale,et al. Missing Values in Multivariate Analysis , 1975 .
[19] D. Rubin. INFERENCE AND MISSING DATA , 1975 .
[20] Morton B. Brown,et al. Identification of the Sources of Significance in Two‐Way Contingency Tables , 1974 .
[21] Lawrence E. Stivers,et al. On difference of means with incomplete data , 1974 .
[22] D. A. Ratkowsky,et al. Maximum Likelihood Estimation in Small Incomplete Samples from the Bivariate Normal Distribution , 1974 .
[23] Donald B. Rubin,et al. Characterizing the Estimation of Parameters in Incomplete-Data Problems , 1974 .
[24] H. Doran,et al. Prediction of Missing Observations in the Time Series of an Economic Variable , 1974 .
[25] Janet Dixon Elashoff,et al. Two-sample Problems for a Dichotomous Variable with Missing Data , 1974 .
[26] John C. Gower,et al. An Iterative Computer Procedure for Mixed-Up Values in Experiments , 1974 .
[27] J. Sargan,et al. Missing Data in an Autoregressive Model , 1974 .
[28] Marcel G. Dagenais,et al. The use of incomplete observations in multiple regression analysis: A generalized least squares approach , 1973 .
[29] Pi-Erh Lin,et al. Procedures for Testing the Difference of Means with Incomplete Data , 1973 .
[30] Donald F. Morrison,et al. Power of the likelihood ratio test on the mean vector of the multivariate normal distribution with missing observations , 1973 .
[31] P. R. Shearer,et al. Missing Data in Quantitative Designs , 1973 .
[32] Dinesh S. Bhoj,et al. Percentage points of the statistics for testing hypotheses on mean vectors of multivariate normal distributions with missing observations , 1973 .
[33] J. S. Mehta,et al. A test for equality of means in the presence of correlation and missing values , 1973 .
[34] Donald F. Morrison,et al. A test for equality of means of correlated variates with missing data on one response , 1973 .
[35] Marcel G. Dagenais,et al. Asymptotic Behavior and Small Sample Performance: Experiments on Regression Parameter Estimation with Incomplete Observations , 1972 .
[36] W J Housworth,et al. Hybrid polynomial and periodic regression with and without missing observations. , 1972, Biometrics.
[37] D. Lindley,et al. Bayes Estimates for the Linear Model , 1972 .
[38] G G Koch,et al. Linear model analysis of categorical data with incomplete response vectors. , 1972, Biometrics.
[39] M. Wickens. A Note on the Use of Proxy Variables , 1972 .
[40] Bennett T. McCallum,et al. Relative Asymptotic Bias from Errors of Omission and Measurement , 1972 .
[41] O. J. Dunn,et al. The Treatment of Missing Values in Discriminant Analysis—I. The Sampling Experiment , 1972 .
[42] Donald B. Rubin,et al. A Non‐Iterative Algorithm for Least Squares Estimation of Missing Values in Any Analysis of Variance Design , 1972 .
[43] D. A. Preece,et al. 327. Query: Non-Additivity in Two-Way Classifications with Missing Values , 1972 .
[44] R. R. Hocking,et al. Optimum Incomplete Multinormal Samples , 1972 .
[45] Gerald J. Hahn,et al. Linear Estimation of a Regression Relationship from Censored Data Part I—Simple Methods and Their Application , 1972 .
[46] Stanley L. Sclove,et al. On Missing Value Estimation in Experimental Design Models , 1972 .
[47] Stephen E. Fienberg,et al. The Analysis of Incomplete Multi-Way Contingency Tables , 1972 .
[48] D. F. Morrison,et al. The analysis of a single sample of repeated measurements. , 1972, Biometrics.
[49] James E. Grizzle,et al. Log Linear Models and Tests of Independence for Contingency Tables , 1972 .
[50] F. Graybill,et al. 321. Note: Tests for Interaction in the Two-Way Model with Missing Data , 1971 .
[51] S. R. Searle. Generalized Inverse Matrices , 1971 .
[52] R. R. Hocking,et al. The analysis of incomplete data. , 1971 .
[53] G. Chow,et al. Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series , 1971 .
[54] D. A. Preece,et al. Iterative Procedures for Missing Values in Experiments , 1971 .
[55] D. F. Morrison. Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing Data , 1971 .
[56] Pi-Erh Lin,et al. Estimation Procedures for Difference of Means with Missing Data , 1971 .
[57] Lyman L. McDonald,et al. ON THE ESTIMATION OF MISSING DATA IN THE MULTIVARIATE LINEAR MODEL , 1971 .
[58] L. A. Goodman. Partitioning of Chi-Square, Analysis of Marginal Contingency Tables, and Estimation of Expected Frequencies in Multidimensional Contingency Tables , 1971 .
[59] Frank T. Denton,et al. Adjustment of Monthly or Quarterly Series to Annual Totals: An Approach Based on Quadratic Minimization , 1971 .
[60] M. J. Box. A Parameter Estimation Criterion for Multiresponse Models Applicable When Some Observations are Missing , 1971 .
[61] S. R. Searle. A Biometrics Invited Paper. Topics in Variance Component Estimation , 1971 .
[62] R. R. Hocking,et al. Maximum Likelihood Estimation with Incomplete Multinomial Data , 1971 .
[63] M. Dagenais. Further Suggestions concerning the Utilization of Incomplete Observations in Regression Analysis , 1971 .
[64] Stephen E. Fienberg,et al. Quasi-independence and Maximum Likelihood Estimation in Incomplete Contingency Tables , 1970 .
[65] Neil H. Timm,et al. The estimation of variance-covariance and correlation matrices from incomplete data , 1970 .
[66] Colin L. Mallows,et al. Systematic Biases in Panel Surveys Due to Differential Nonresponse , 1970 .
[67] S. S. Wagner. The Maximum-Likelihood Estimate for Contingency Tables with Zero Diagonal , 1970 .
[68] M. J. Box,et al. Missing Values in Multiresponse Nonlinear Model Fitting , 1970 .
[69] Nathan Mantel,et al. INCOMPLETE CONTINGENCY TABLES , 1970 .
[70] M. J. Box. Improved Parameter Estimation , 1970 .
[71] Stephen E. Fienberg,et al. The Analysis of Multidimensional Contingency Tables , 1970 .
[72] G. N. Wilkinson. A general recursive procedure for analysis of variance , 1970 .
[73] Henry R. Neave,et al. Spectral analysis of a stationary time series using initially scarce data , 1970 .
[74] L. A. Goodman. The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications , 1970 .
[75] R. Kirk Steinhorst,et al. Disproportionality of Cell Frequencies in Psychological and Educational Experiments Involving Multiple Classification , 1969 .
[76] Harry H. Kelejian,et al. Missing observations in Multivariate Regression: Efficiency of a First Order Method , 1969 .
[77] J. S. Mehta,et al. Some Properties and an Application of a Statistic Arising in Testing Correlation , 1969 .
[78] L. A. Goodman. On Partitioning χ2 and Detecting Partial Association in Three‐Way Contingency Tables , 1969 .
[79] Leo A. Goodman,et al. How to Ransack Social Mobility Tables and Other Kinds of Cross-Classification Tables , 1969, American Journal of Sociology.
[80] Stephen E. Fienberg,et al. Preliminary Graphical Analysis and Quasi‐Independence for Two‐Way Contingency Tables , 1969 .
[81] S. Fienberg,et al. Incomplete two-dimensional contingency tables. , 1969, Biometrics.
[82] Abdelmonem A. Afifi,et al. Missing Observations in Multivariate Statistics—IV: A Note on Simple Linear Regression , 1969 .
[83] Abdelmonem A. Afifi,et al. Missing Observations in Multivariate Statistics III: Large Sample Analysis of Simple Linear Regression , 1969 .
[84] L. A. Goodman. The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or without Missing Entries , 1968 .
[85] Esther C. Jackson. Missing Values in Linear Multiple Discriminant Analysis , 1968 .
[86] Klaus Hinkelmann,et al. Missing Values in Partial Diallel Cross Experiments , 1968 .
[87] Jacob Cohen. Multiple regression as a general data-analytic system. , 1968 .
[88] S. Blumenthal. Multinomial Sampling With Partially Categorized Data , 1968 .
[89] S. R. Searle. Large Sample Variances of Maximum Likelihood Estimators of Variance Components , 1968 .
[90] R. R. Hocking,et al. Estimation of Parameters in the Multivariate Normal Distribution with Missing Observations , 1968 .
[91] H. O. Hartley,et al. A Procedure for Automatic Data Editing , 1967 .
[92] Robert M. Elashoff,et al. Missing Observations in Multivariate Statistics II. Point Estimation in Simple Linear Regression , 1967 .
[93] J. Boot,et al. Further Methods of Derivation of Quarterly Figures from Annual Data , 1967 .
[94] J. L. Jaech,et al. An Alternate Approach to Missing Value Estimation , 1966 .
[95] Williams Da,et al. Errors of treatment comparisons when observations are missing from a randomised block experiment with additional replication of a control treatment. , 1966 .
[96] R. Elashoff,et al. Missing Observations in Multivariate Statistics I. Review of the Literature , 1966 .
[97] W Siler,et al. FACTOR ANALYSIS WITH MISSING DATA * , 1966, Annals of the New York Academy of Sciences.
[98] Chooichiro Asano,et al. On estimating multinomial probabilities by pooling incomplete samples , 1965 .
[99] George Zyskind,et al. Query 14: Missing Values in Factorial Experiments , 1965 .
[100] R. Anderson,et al. AN INVESTIGATION OF THE EFFECT OF MISCLASSIFICATION ON THE PROPERTIES OF CHI-2-TESTS IN THE ANALYSIS OF CATEGORICAL DATA. , 1965, Biometrika.
[101] Perry A. Scheinok,et al. Spectral Analysis with Randomly Missed Observations: The Binomial Case , 1965 .
[102] D. G. Gosslee,et al. Analysis of Variance of Disproportionate Data When Interaction is Present , 1965 .
[103] Leo A. Goodman,et al. On the Statistical Analysis of Mobility Tables , 1965, American Journal of Sociology.
[104] Marion R. Bryson,et al. Errors of Classification in a Binomial Population , 1965 .
[105] John S. Chipman,et al. On Least Squares with Insufficient Observations , 1964 .
[106] Norman R. Draper,et al. ESTIMATING MISSING VALUES IN UNREPLICATED TWO-LEVEL FACTORIAL AND FRACTIONAL FACTORIAL DESIGNS. , 1964 .
[107] M. Glasser,et al. Linear Regression Analysis with Missing Observations among the Independent Variables , 1964 .
[108] R. Bargmann,et al. MAXIMUM LIKELIHOOD ESTIMATION WITH INCOMPLETE MULTIVARIATE DATA , 1964 .
[109] W. T. Federer,et al. Relationships between a Three-Way Classification Disproportionate Numbers Analysis of Variance and Several Two-Way Classification and Nested Analyses , 1963 .
[110] Richard F. Kosobud,et al. A Note on a Problem Caused by Assignment of Missing Data in Sample Surveys , 1963 .
[111] M. Friedman. The Interpolation of Time Series by Related Series , 1962 .
[112] Emanuel Parzen,et al. ON SPECTRAL ANALYSIS WITH MISSING OBSERVATIONS AND AMPLITUDE MODULATION , 1962 .
[113] D. J. Finney. 175 NOTE: An Unusual Salvage Operation , 1962 .
[114] Richard H. Jones,et al. SPECTRAL ANALYSIS WITH REGULARLY MISSED OBSERVATIONS , 1962 .
[115] Myron B. Fiering,et al. ON THE USE OF CORRELATION TO AUGMENT DATA , 1962 .
[116] J. L. Folks,et al. Note on the Missing Plot Procedure in a Randomized Block Design , 1961 .
[117] Norman R. Drapery. Missing Values in Response Surface Designs , 1961 .
[118] John E. Walsh,et al. Computer-Feasible Method for Handling Incomplete Data in Regression Analysis , 1961, JACM.
[119] D. J. Bartholomew,et al. A Method of Allowing for `Not-at-Home' Bias in Sample Surveys , 1961 .
[120] Clyde Young Kramer,et al. Analysis of variance of a balanced incomplete block design with missing observations , 1960 .
[121] G. N. Wilkinson. COMPARISON OF MISSING VALUE PROCEDURES , 1960 .
[122] S. F. Buck. A Method of Estimation of Missing Values in Multivariate Data Suitable for Use with an Electronic Computer , 1960 .
[123] O. Dykstra. Rank Analysis of Incomplete Block Designs: A Method of Paired Comparisons Employing Unequal Repetitions on Pairs , 1960 .
[124] Clyde Young Kramer,et al. Analysis of Variance of a Latin Square Design with Missing Observations , 1960 .
[125] D. J. Finney,et al. 140. Query: Test of Difference between Treatment and Control with Multiple Replications of Control and a Missing Plot , 1959 .
[126] J. D. Biggers,et al. THE ESTIMATION OF MISSING AND MIXED-UP OBSERVATIONS IN SEVERAL EXPERIMENTAL DESIGNS , 1959 .
[127] William Alexander Glenn,et al. Analysis of variance of a randomised block design with missing observations. , 1958 .
[128] G. N. Wilkinson. The Analysis of Variance and Derivation of Standard Errors for Incomplete Data , 1958 .
[129] H. Hartley. Maximum Likelihood Estimation from Incomplete Data , 1958 .
[130] E. Kaplan,et al. Nonparametric Estimation from Incomplete Observations , 1958 .
[131] G. N. Wilkinson. Estimation of Missing Values for the Analysis of Incomplete Data , 1958 .
[132] Marvin A. Kastenbaum,et al. Estimation of Relative Frequencies of Four Sperm Types in Drosophila Melanogaster , 1958 .
[133] George E. Nicholson,et al. Estimation of Parameters from Incomplete Multivariate Samples , 1957 .
[134] G. N. Wilkinson. The Analysis of Covariance with Incomplete Data , 1957 .
[135] Irma J. Coons,et al. The Analysis of Covariance as a Missing Plot Technique , 1957 .
[136] W. G. Cochran. Analysis of covariance: Its nature and uses. , 1957 .
[137] T. W. Anderson. Maximum Likelihood Estimates for a Multivariate Normal Distribution when Some Observations are Missing , 1957 .
[138] H. Fairfield Smith,et al. 125. Note: Missing Plot Estimates , 1957 .
[139] K. A. Brownlee,et al. A Note on the Effects of Nonresponse on Surveys , 1957 .
[140] M. Healy,et al. Missing Values in Experiments Analysed on Automatic Computers , 1956 .
[141] H. R. Thompson. Extensions to Missing Plot Techniques , 1956 .
[142] C. Radhakrishna Rao,et al. Analysis of Dispersion with Incomplete Observations on One of the Characters , 1956 .
[143] H. O. Hartley,et al. A Plan for Programming Analysis of Variance for General Purpose Computers , 1956 .
[144] H. Fairfield Smith,et al. Adjustment by Covariance and Consequent Tests of Significance in Split-Plot Experiments , 1956 .
[145] George L. Edgett. Multiple Regression with Missing Observations Among the Independent Variables , 1956 .
[146] G. S. Watson,et al. Missing and "Mixed-Up" Frequencies in Contingency Tables , 1956 .
[147] Frederic M. Lord,et al. Equating test scores—A maximum likelihood solution , 1955 .
[148] Horace W. Norton,et al. A Further Note on Missing Data , 1955 .
[149] Frederic M. Lord,et al. Estimation of Parameters from Incomplete Data , 1954 .
[150] J. A. Nelder,et al. A Note on Missing-Plot Values , 1954 .
[151] Marvin Zelen,et al. ANALYSIS FOR SOME PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS HAVING A MISSING BLOCK , 1954 .
[152] C. R. Henderson. ESTIMATION OF VARIANCE AND COVARIANCE COMPONENTS , 1953 .
[153] C. C. Craig,et al. Combination of Neighboring Cells in Contingency Tables , 1953 .
[154] J. TAYLOR,et al. Errors of Treatment Comparisons when Observations are Missing , 1948, Nature.
[155] D. B. De Lury,et al. The Analysis of Latin Squares when Some Observations are Missing , 1946 .
[156] Fei Tsao,et al. General solution of the analysis of variance and covariance in the case of unequal or disproportionate numbers of observations in the subclasses , 1946 .
[157] Anderson Rl,et al. Missing-plot techniques. , 1946 .
[158] William G. Cochran,et al. The analysis of groups of experiments , 1938, The Journal of Agricultural Science.
[159] M. S. Bartlett,et al. Some examples of statistical methods of research in agriculture and applied biology , 1937 .
[160] F. Yates. Incomplete randomized blocks , 1936 .
[161] Frank Yates,et al. Incomplete Latin squares , 1936, The Journal of Agricultural Science.
[162] H. K. Hayes,et al. Statistical Determination of Barley Varietal Adaptation1 , 1934 .
[163] Frank Yates,et al. The Analysis of Multiple Classifications with Unequal Numbers in the Different Classes , 1934 .
[164] F. Yates. The analysis of replicated experiments when the field results are incomplete , 1933 .
[165] A. E. Brandt,et al. The Analysis of Variance in a “2×s” Table with Disproportionate Frequencies , 1933 .
[166] S. S. Wilks. Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples , 1932 .
[167] K. Pearson,et al. On the Theory of Contingency , 1930 .
[168] J. Wishart,et al. A Method of Estimating the Yield of a Missing Plot in Field Experimental Work , 1930, The Journal of Agricultural Science.
[169] J. A. Harris,et al. A Second Category of Limitations in the Applicability of the Contingency Coefficient , 1929 .
[170] A. Treloar,et al. On a Limitation in the Applicability of the Contingency Coefficient , 1927 .
[171] M. G. Dagenais,et al. A General Approach for Estimating Econometric Models with Incomplete Observations , 1982 .
[172] J. Heckman. Sample selection bias as a specification error , 1979 .
[173] Donald B. Rubin,et al. Bayesian Inference for Causal Effects: The Role of Randomization , 1978 .
[174] Roderick J. A. Little,et al. Consistent Regression Methods for Discriminant Analysis with Incomplete Data , 1978 .
[175] R. R. Hocking,et al. A Procedure for Editing Survey Data , 1974 .
[176] Victor Ginsburgh,et al. A further note on the derivation of quarterly figures consistent with annual data , 1973 .
[177] J D Williams,et al. TWO WAY FIXED EFFECTS ANALYSIS OF VARIANCE WITH DISPROPORTIONATE CELL FREQUENCIES. , 1972, Multivariate behavioral research.
[178] Gary G. Koch,et al. Linear models analysis of incomplete multivariate categorical data , 1972 .
[179] M. Woodbury. A missing information principle: theory and applications , 1972 .
[180] J. N. Srivastava,et al. Incomplete multiresponse designs , 1971 .
[181] S. C. Pearce,et al. Block Designs and Missing Data , 1971 .
[182] David G. Kleinbaum,et al. A general method for obtaining test criteria for multivariate linear models with more than one design matrix and/or incomplete in response variates , 1969 .
[183] J. Overall,et al. Concerning least squares analysis of experimental data. , 1969 .
[184] Y. Haitovsky. Missing Data in Regression Analysis , 1968 .
[185] H. O. Hartley,et al. Classification and Estimation in Analysis of Variance Problems , 1968 .
[186] E Jennings,et al. FIXED EFFECTS ANALYSIS OF VARIANCE BY REGRESSION ANALYSIS. , 1967, Multivariate behavioral research.
[187] Arnold Zellner,et al. On the Analysis of First Order Autoregressive Models with Incomplete Data , 1966 .
[188] Henri Caussinus,et al. Contribution à l'analyse statistique des tableaux de corrélation , 1965 .
[189] J. Sandee,et al. Derivation of Quarterly Figures from Annual Data , 1964 .
[190] L A Goodman,et al. A short computer program for the analysis of transaction flows. , 1964, Behavioral science.
[191] Leo A. Goodman,et al. Statistical Methods for the Preliminary Analysis of Transaction Flows , 1963 .
[192] William Kruskal,et al. The Coordinate-free Approach to Gauss-Markov Estimation, and Its Application to Missing and Extra Observations , 1961 .
[193] R. J. Monroe,et al. An investigation of some multiple regression methods for incomplete samples , 1959 .
[194] K. D. Tocher. The Design and Analysis of Block Experiments , 1952 .
[195] H. F. Smith,et al. Error variance of treatment contrasts in an experiment with missing observations with special reference to incomplete Latin squares. , 1950 .
[196] E. A. Cornish. The estimation of missing values in incomplete randomized block experiments. , 1940 .
[197] E. A. Cornish. THE ESTIMATION OF MISSING VALUES IN QUASI-FACTORIAL DESIGNS , 1940 .
[198] Frank Yates,et al. The analysis of Latin squares when two or more rows, columns, or treatments are missing , 1939 .
[199] G. M. Cox,et al. Disproportionate subclass numbers in tables of multiple classification , 1935 .