Gemischtes Modell (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Gemischtes Modell" in German language version.

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G. K. Robinson: That BLUP is a Good Thing: The Estimation of Random Effects. In: Statistical Science. Band 6, Nr. 1, 1991, S. 15–32, doi:10.1214/ss/1177011926, JSTOR:2245695.
C. R. Henderson, Oscar Kempthorne, S. R. Searle and C. M. von Krosigk: The Estimation of Environmental and Genetic Trends from Records Subject to Culling. In: Biometrics. Band 15, Nr. 2. International Biometric Society, 1959, S. 192–218, doi:10.2307/2527669, JSTOR:2527669.
Robert A. McLean, William L. Sanders, Walter W. Stroup: A Unified Approach to Mixed Linear Models. In: The American Statistician. Band 45, Nr. 1. American Statistical Association, 1991, S. 54–64, doi:10.2307/2685241, JSTOR:2685241.
M. L. Lindstrom, D. M. Bates: Newton-Raphson and EM algorithms for linear mixed-effects models for repeated-measures data. In: JASA. Band 83, Nr. 404, 1988, S. 1014–1021, doi:10.2307/2290128.
Nan M. Laird, James H. Ware: Random-Effects Models for Longitudinal Data. In: Biometrics. Band 38, Nr. 4. International Biometric Society, 1982, S. 963–974, doi:10.2307/2529876, PMID 7168798.

G. K. Robinson: That BLUP is a Good Thing: The Estimation of Random Effects. In: Statistical Science. Band 6, Nr. 1, 1991, S. 15–32, doi:10.1214/ss/1177011926, JSTOR:2245695.
C. R. Henderson, Oscar Kempthorne, S. R. Searle and C. M. von Krosigk: The Estimation of Environmental and Genetic Trends from Records Subject to Culling. In: Biometrics. Band 15, Nr. 2. International Biometric Society, 1959, S. 192–218, doi:10.2307/2527669, JSTOR:2527669.
Robert A. McLean, William L. Sanders, Walter W. Stroup: A Unified Approach to Mixed Linear Models. In: The American Statistician. Band 45, Nr. 1. American Statistical Association, 1991, S. 54–64, doi:10.2307/2685241, JSTOR:2685241.

Nan M. Laird, James H. Ware: Random-Effects Models for Longitudinal Data. In: Biometrics. Band 38, Nr. 4. International Biometric Society, 1982, S. 963–974, doi:10.2307/2529876, PMID 7168798.