-
2
-
-
0036390848
-
Growth modeling using random coefficient models: model building, testing and illustrations
-
Bliese P.D., Ployhart R.E. Growth modeling using random coefficient models: model building, testing and illustrations. Organizational Research Methods 2002, 5:362-387.
-
(2002)
Organizational Research Methods
, vol.5
, pp. 362-387
-
-
Bliese, P.D.1
Ployhart, R.E.2
-
3
-
-
7944222428
-
Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator
-
Böhning D., Malzahn U., Dietz E., Schlattmann P., Viwatwongkasem C., Biggeri A. Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator. Biostatistics 2002, 3:445-457.
-
(2002)
Biostatistics
, vol.3
, pp. 445-457
-
-
Böhning, D.1
Malzahn, U.2
Dietz, E.3
Schlattmann, P.4
Viwatwongkasem, C.5
Biggeri, A.6
-
6
-
-
79955852571
-
-
Report on Key Comparison SIM.AUV.V-K1, Metrologia 46 Technical Supplement 09002.
-
Evans, D., Hornikova, A., Leigh, S., Rukhin, A.L., Strawderman, W., 2009. Report on Key Comparison SIM.AUV.V-K1, Metrologia 46 Technical Supplement 09002.
-
(2009)
-
-
Evans, D.1
Hornikova, A.2
Leigh, S.3
Rukhin, A.L.4
Strawderman, W.5
-
7
-
-
0032886748
-
Valid inference in random effects meta-analysis
-
Follmann D.A., Proshan M.A. Valid inference in random effects meta-analysis. Biometrics 1999, 55:732-737.
-
(1999)
Biometrics
, vol.55
, pp. 732-737
-
-
Follmann, D.A.1
Proshan, M.A.2
-
8
-
-
0001410775
-
Combining unbiased estimators
-
Graybill F.A., Deal R.D. Combining unbiased estimators. Biometrics 1959, 15:543-550.
-
(1959)
Biometrics
, vol.15
, pp. 543-550
-
-
Graybill, F.A.1
Deal, R.D.2
-
12
-
-
71649090646
-
How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
-
Jackson D., Bowden J., Baker R. How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?. Journal of Statistical Planning and Inference 2010, 140:961-970.
-
(2010)
Journal of Statistical Planning and Inference
, vol.140
, pp. 961-970
-
-
Jackson, D.1
Bowden, J.2
Baker, R.3
-
14
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird N., Ware J.H. Random-effects models for longitudinal data. Biometrics 1982, 38:963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.1
Ware, J.H.2
-
16
-
-
79955839522
-
Estimation of weighting factors in linear regression and analysis of variance
-
Mandel J. Estimation of weighting factors in linear regression and analysis of variance. Technometrics 1964, 6:1-25.
-
(1964)
Technometrics
, vol.6
, pp. 1-25
-
-
Mandel, J.1
-
19
-
-
79955851624
-
-
Analysis of interlaboratory measurements on the vapor pressure of cadmium and silver. National Bureau of Standards Special Publication
-
Paule, R.C., Mandel, J. 1971. Analysis of interlaboratory measurements on the vapor pressure of cadmium and silver. National Bureau of Standards Special Publication, 260-21.
-
(1971)
, pp. 260-21
-
-
Paule, R.C.1
Mandel, J.2
-
21
-
-
84972496336
-
That BLUP is a good thing: the estimation of random effects
-
Robinson G.K. That BLUP is a good thing: the estimation of random effects. Statistical Science 1991, 6:15-32.
-
(1991)
Statistical Science
, vol.6
, pp. 15-32
-
-
Robinson, G.K.1
-
22
-
-
33751012987
-
Estimating common vector mean in interlaboratory studies
-
Rukhin A.L. Estimating common vector mean in interlaboratory studies. Journal of Multivariate Analysis 2007, 98:434-435.
-
(2007)
Journal of Multivariate Analysis
, vol.98
, pp. 434-435
-
-
Rukhin, A.L.1
-
23
-
-
0031479639
-
Built-in-restrictions on best linear predictors (BLUP) of random effects in mixed models
-
Searle S. Built-in-restrictions on best linear predictors (BLUP) of random effects in mixed models. American Statistician 1997, 51:19-21.
-
(1997)
American Statistician
, vol.51
, pp. 19-21
-
-
Searle, S.1
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