Une estimation de données manquantes basée sur le coefficient RV
Revue de Statistique Appliquée, Tome 39 (1991) no. 2, pp. 47-57. 
@article{RSA_1991__39_2_47_0,
     author = {Crettaz de Roten, F. and Helbling, J.-M.},
     title = {Une estimation de donn\'ees manquantes bas\'ee sur le coefficient {RV}},
     journal = {Revue de Statistique Appliqu\'ee},
     pages = {47--57},
     publisher = {Soci\'et\'e de Statistique de France},
     volume = {39},
     number = {2},
     year = {1991},
     language = {fr},
     url = {http://archive.numdam.org/item/RSA_1991__39_2_47_0/}
}
TY  - JOUR
AU  - Crettaz de Roten, F.
AU  - Helbling, J.-M.
TI  - Une estimation de données manquantes basée sur le coefficient RV
JO  - Revue de Statistique Appliquée
PY  - 1991
SP  - 47
EP  - 57
VL  - 39
IS  - 2
PB  - Société de Statistique de France
UR  - http://archive.numdam.org/item/RSA_1991__39_2_47_0/
LA  - fr
ID  - RSA_1991__39_2_47_0
ER  - 
%0 Journal Article
%A Crettaz de Roten, F.
%A Helbling, J.-M.
%T Une estimation de données manquantes basée sur le coefficient RV
%J Revue de Statistique Appliquée
%D 1991
%P 47-57
%V 39
%N 2
%I Société de Statistique de France
%U http://archive.numdam.org/item/RSA_1991__39_2_47_0/
%G fr
%F RSA_1991__39_2_47_0
Crettaz de Roten, F.; Helbling, J.-M. Une estimation de données manquantes basée sur le coefficient RV. Revue de Statistique Appliquée, Tome 39 (1991) no. 2, pp. 47-57. http://archive.numdam.org/item/RSA_1991__39_2_47_0/

[1] Abraham B. (1981) - Missing observations in time series, Communications in Statistics : theory, 10, 1643- 1653. | MR

[2] Anderson R.L. (1946) - Missing-plot techniques, Biometrics, 2, 41-47.

[3] Beale E.M.L. et Little R.J.A. (1975) - Missing values in multivariate analysis, Journal of Royal Statistical Society, Series B, 37, 129-145. | MR | Zbl

[4] Boyles R.A. (1983) - On the convergence of the EM algorithm, Journal of Royal Statistical Society, Series B, 45, 47-50. | MR | Zbl

[5] Buck S.F. (1960) - A method of estimation of missing values in multivariate data suitable for use with an electronic computer, Journal of Royal Statistical Society, Series B, 22, 302-306. | MR | Zbl

[6] Cleroux R., Helbling J.-M. ET Ranger N.(1990) - Détection d'ensembles de données aberrantes en analyse des données multivariées, Revue de Statistique Appliquée, XXXVIII, 5-21. | EuDML | Numdam

[7] Curry J. et Kim J.O. (1977) - The treatment of missing data in multivariate analysis, Sociological Methods and Research, 6, 215- 240.

[8] Dambroise E., Escoufier Y., Massotte P. (1987) - Application de l'analyse de données à l'élaboration de mini-sondages d'opinion, Revue de Statistique Appliquée, XXXV, 9-24 | EuDML | Numdam | Zbl

[9] Dear R.E.A. (1959) - A principal-component missing data method for multiple regression models. System Development Corporation, Technical Report SP-86.

[10] Dempster A.P., Laird N.M. et Rubin D.B. (1977) - Maximum likelihood from incomplete data via the EM algorithm, Journal of Royal Statistical Society, Series B, 39, 1- 38. | MR | Zbl

[11] Der Megreditchian G. (1988) - Problèmes engendrés par les données manquantes dans la pratique statistique, Note de Travail de l'Etablissement d'Etudes et de Recherches Météorologiques, 208.

[12] Dodge Y. (1985) - Analysis of experiments with missing data, Wiley. | MR | Zbl

[13] Escoufier Y. (1973) - Le traitement des variables vectorielles, Biometrics, 29, 751-760. | MR

[14] Ford B.L. (1983) - An overview of hot-deck procedures, dans Incomplete Data in Sample Surveys, vol II: (W.G. Madow, I Olkin et D.B. Rubin, Eds), Academic Press.

[15] Frane J.W. (1976) - Some simple procedures for handling missing data in multivariate analysis, Psychometrika, 41, 409 -415. | MR | Zbl

[16] Gleason T.L. et Staelin R. (1975) - Proposal for handling missing data, Psychometrika, 4, 229- 252. | Zbl

[17] Grosbras J.M. (1987) - Les réponses manquantes, dans Les sondages édité par Droesbeke F, Fichet B. et Tassi P., Economica. | MR

[18] Haitovsky Y. (1968) - Missing data in regression analysis, Journal of Royal Statistical Society, Series B, 30, 67-82. | MR | Zbl

[19] Hetjan D.F.Et Rubin D.B. (1990) - Inference from coarse data via multiple imputation with application to age heaping, Journal of the American Statistical Association, 85, 304-314.

[20] Herzog T.N. et Rubin D.B. (1983) - Using multiple imputations to handle nonresponse in sample surveys, dans Incomplete Data in Sample Surveys, vol II: (W.G. Madow, I Olkin et D.B. Rubin, Eds), Academic Press.

[21] Jones R.H. (1980) - Maximum likelihood fitting of ARMA models to time series with missing observations, Technometrics, 22, 389-395. | MR | Zbl

[22] Kaiser J. (1990) - The robustness of regression and substitution by mean methods in handling missing values, présenté au 22ème congrès de l'ASU à Tours.

[23] Kariya T., Krishnaiah P.R. et Rao C.R. (1983) - Inference on parameters of multivariate normal populations when some data is missing, Developments in Statistics, 4, 137-184. | MR | Zbl

[24] Little R.J.A. (1979) - Maximum likelihood inference for multiple regression with missing values : a simulation study, Journal of Royal Statistical Society, Series B, 41, 76-87. | MR | Zbl

[25] Little R.J.A. (1986) - Survey nonresponse adjustement for estimates of means, International Statistical Review, 54, 139 -157. | Zbl

[26] Little R.J.A. (1988) - A test of missing completely at random for multivariate data with missing values, Journal of the American Statistical Association, 83, 1198-1202. | MR

[27] Little R.J.A. et Rubin D.B. (1987) - Statistical analysis with missing data, Wiley. | MR | Zbl

[28] MADOW W.G., OLKIN I. et RUBIN D.B. (eds) (1983) Incomplete Data in Sample Surveys, 3 volumes, Academic Press.

[29] Mardia K.V., Kent J.T. et Bibby J.M. (1979) - Multivariate analysis, London, Academic Press. | MR | Zbl

[30] Murray L.W. (1986) - Estimation of missing cells in randomized block and latin square designs, The American Statistician, 40, 289-293. | MR

[31] Robert P. et Escoufier Y. (1976) - A unifying tool for linear multivariate statistical methods : the RV-coefficient, Applied Statistics, 25, 257-265. | MR

[32] Rubin D.B. (1972) - A non-iterative algorithm for least squares estimation of missing values in any analysis of variance design, Journal of Royal Statistical Society, Series C, 21, 136-141. | MR

[33] Rubin D.B. (1976) - Inference and missing data, Biometrika, 63, 581-592. | MR | Zbl

[34] Rubin D.B. (1987) - Multiple imputation for nonresponse in survey, Wiley. | MR | Zbl

[35] Rubin D.B. et Schenker N. (1986) - Multiple imputation for interval estimation from simple random samples with ignorable nonresponse, Journal of the American Statistical Association, 81, 366- 374. | MR | Zbl

[36] Seber G.A.F. (1984) - Multivariate observations, Wiley, 422-423 | MR | Zbl

[37] Simon G.A. et Simonoff J.S. (1986) - Diagnostic plots for missing data in least squares regression, Journal of the American Statistical Association, 81, 501-509. | MR | Zbl

[38] Srivastava M.S. (1985) - Multivariate data with missing observations, Commun. Statis. - Theor. Meth., 14, 775 -792. | MR | Zbl

[39] Timm N.H. (1970) - The estimation of variance-covariance and correlation matrices from incomplete data, Psychometrika, 35, 417 -435. | Zbl