MixedModelsBiblio.pdf
© 2007, Timothy G. Gregoire, Yale University
Last revised: April 2010
Mixed Bibliographies
(761 entries)
Books:
1. Swamy, P. A. V. B. 1971. Statistical Inference in Random Coefficient
Regression Models. Lecture Notes in Operations Research and Mathematical
Systems (M. Beckmann and H. P. Künzi Zürich) 209 pp.
2. Henderson, C.R. 1984. Applications of Linear Models in Animal Breeding.
University of Guelph.
3. Malley, J. D. 1986. Optimal Unbiased Estimation of Variance Components.
Lecture Notes in Statistics, #39, Springer-Verlag.
4. Hsaio, C. 1986. Analysis of Panel Data. Econometric Society Monographs No.
11. Cambridge: Cambridge University Press.
5. Malley, J. D. 1986. Optimal Unbiased Estimation of Variance Components. (in
Lecture Notes in Statistics, #139) Springer-Verlag.
6. Dielman, T. E. 1988. Pooled Cross-sectional and Time Series Data Analysis. New
York: Marcel Dekker, Inc.
7. Anon. 1989. Applications of Mixed Models in Agriculture and Related
Disciplines. Southern Cooperative Series Bulletin 343. Louisiana Agricultural
Experiment Station, Baton Rouge.
8. Jones, R.H. 1993. Longitudinal Data with Serial Correlation: A State-space
Approach. London: Chapman & Hall.
9. Lindsey, J.K. 1993. Models for Repeated Measurements. Oxford: Clarendon
Press.
10. Longford, N.T. 1993. Random Coefficient Models. Oxford: Clarendon Press.
11. Diggle, P., Liang, K-Y & Scott Zeger. 1994. Analysis of Longitudinal Data.
Oxford: Clarendon Press.
12. Davidian, M. & D. Giltinan. 1995. Nonlinear Models for Repeated Measurement
Data. London: Chapman & Hall.
13. Littell, R. C., G. A. Milliken, W. W. Stroup, & R. D. Wolfinger. 1996. SAS
System for Mixed Models. Cary, NC: SAS Institute, Inc.
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14. Gregoire, T. G., D. R. Brillinger, P. J. Diggle, E. Russek-Cohen, W. G. Warren, &
R. D. Wolfinger. (eds). 1997. Modelling Longitudinal and Spatially Correlated
Data: Methods, Applications, and Future Directions. (Lecture Notes in Statistics,
#122) Springer-Verlag.
15. Verbeke, G. & G. Molenberghs (eds). 1997. Linear Mixed Models in Practice
(in:Lecture Notes in Statistics, #126) Springer-Verlag
16. Vonesh, E. & V. Chinchilli. 1997. Linear and Nonlinear Models for the Analysis
of Repeated Measurements. New York: Marcel Dekker Inc.
17. McCulloch, C. E. & S, R, Searle. 2001. Generalized, Linear, and Mixed Models.
New York: Wiley.
18. Schabenberger, O. & F. Pierce. 2002. Contemporary Statistical Models for the
Plant and Soil Sciences. Boca Raton: CRC Press.
19. Diggle, P., Heagarty, P. Liang, K-Y & S. Zeger. 2002. Analysis of Longitudinal
Data (2nd ed.). Oxford: Clarendon Press.
20. Fitzmaurice, G., N. Laird & J. Ware. 2004. Applied Longitudinal Analysis.
Wiley-Interscience.
21. Laird, N. 2004. Analysis of longitudinal and cluster-correlated data. NSF-CBMS
Regional Conference Series in Probability and Statistics, Volume 8. Published by
Institute of Mathematical Statistics and the American Statistical Association.
22. Fitzmaurice, G. etal (eds). 2008. Longitudinal Data Analysis. Handbooks of
Modern Statistical Methods. CRC Press.
23. ……………………..Multivariate Multilevel Data. In Models for Repeated
Measures Data. Pp. 138 – 141.
Journals:
24. Statistical neerlandica (2004) Journal of the Netherlands Society for Statistics and
Operations Research. Volume 58(2): 125 - 254. Blackwell Publishing
Dissertations:
25. Gregoire, T. G. 1985. Generalized Error Structure for Forestry Yield Models
Fitted with Permanent Plot Data. Doctoral Dissertation submitted to Yale
University, New Haven, CT, USA.
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26. Eriksson, M. 1989. Integrating Forest Growth and Dendrochronological Studies.
Doctoral Dissertation submitted to the University of Minnesota, St. Paul, MN,
USA
27. Hurtado, G. I. 1993. Detection of Influential Observations in Linear Mixed
Models. Doctoral Dissertation submitted to North Carolina State University,
Raleigh, NC, USA.
28. Quiroga, R. R. 1993. Estimation of Nonlinear Mixed Effects and Random
Coefficient Models. Doctoral Dissertation submitted to North Carolina State
University, Raleigh, NC, USA 163 pp.
29. Van den Doel, I. T. 1994. Dynamics in Cross-Section and Panel Data Models.
Tinbergen Institute, Research Series No. 69. 183 pp.
30. Visser, H. 1994. Regression Models with Time-Varying Parameters: Applications
in the Environmental Sciences. Academisch Proefschrift submitted to the
Universiteit van Amsterdam.
31. Candy, S. G. 1999. Predictive Models for Integrated Pest Management of the Leaf
Beetle Chrysophtharta bimaculata in Eucalyptus nitens Plantations in Tasmania.
Doctoral Dissertation submitted to University of Tasmania, Hobart, Tasmania,
Australia.
32. Eerikainen, K. 2001. Modelling Stand Development on Pinus kesiya in
Southeaster Africa. Doctoral Dissertation submitted to the University of Joensuu,
Joensuu, Finland.
33. Mehtätalo, L. 2004. Predicting Stand Characteristics Using Limited
Measurements. Doctoral Dissertation submitted to the University of Joensuu,
Joensuu, Finland.
34. Wang, L. 2004. Parameter estimation for mixtures of generalized linear mixedeffects models. A Dissertation submitted to the Graduate Faculty of the
University of Georgia in Partial fulfillment of the requirements for the degree of
Doctor of Philosophy, Athens, Georgia. 129 pp.
Articles:
35. Wishart, J. 1938. Growth-Rate Determinations in Nutrition Studies with the
Bacon Pig, and Their Analysis. Biometrika 30:16-28.
36. Hoeffding, W. and Robbins, H. 1948. The Central Limit Theorem for dependent
random variables. Office of Naval Research Contract N7onr-284, Task Order II:
773 - 780
© 2007 Timothy G. Gregoire
MixedModelsBiblio.pdf
37. Eisenhart, C. 1947. The assumptions underlying the analysis of variance.
Biometrics 3(1)1-21.
38. Mandel, J. 1957. Fitting a Straight Line to Certain Types of Cumulative Data.
Journal of the American Statistical Association 52: 552-566.
39. Rao, C. R. 1958, Some Statistical Methods for Comparison of Growth Curves.
Biometrics 4:1-17.
40. Henderson, C. R., O. Kempthorne, S. R. Searle and C. M. von Krosigk. 1959.
The Estimation of Environmental and Genetic Trends from Records Subject to
Culling. Biometrics 15:192-218.
41. Kuh, E. 1959.The validity of cross-sectionally estimated behavior equations in
time series applications. Econometrica 27:197-214.
42. Rao, C. R. 1959. Some Problems Involving Linear Hypotheses in Multivariate
Analysis. Biometrika 46:49-58.
43. Danford, M. B., H. M. Hughes, and R. C. McNee. 1960. On the Analysis of
Repeated-Measurements Experiments. Biometrics 16: 547-565.
44. Jorgenson, D.W. 1961. Multiple regression analysis of a Poisson process.
American Statistical Association Journal: 235 - 245
45. Munklak, Y. 1961. Empirical Production Function Free of Management Bias.
Journal of Farm Economics 43:44-56.
46. Elston, R. C. and J. E. Grizzle. 1962. Estimation of Time-Response Curves and
Their Confidence Bands. Biometrics 18:148-159.
47. Goldberger, A. S. 1962. Best Linear Unbiased Prediction in the Generalized
Linear Regression Model. Journal of the American Statistical Association 57:
369-375.
48. Hoch, I. 1962. Estimation of Production Function Parameters Combining TimeSeries and Cross-Section Data. Econometrica 30:34-53.
49. Bush, N. and R. L. Anderson. 1963. A Comparison of Three Different
Procedures for Estimating Variance Components. Technometrics 5:421-440.
50. Mundlak, Y. 1963. Estimation of Production and Behavioral Functions from a
Combination of Cross-Section and Time-Series Data. In: Measurement in
Economics (Christ, C. F., ed.). Stanford University Press, pp. 138-166.
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51. Thompson, W. A., Jr., and J. R. Moore. 1963. Non-Negative Estimates of
Variance Components. Technometrics 5:441-449.
52. Johnson, P. R. 1964. Some Aspects of Estimating Statistical Cost Functions.
Journal of Farm Economics 46:179-187.
53. Rao, C. R. 1965. The theory of least squares when the parameters are stochastic
and its application to the analysis of growth curves. Biometrika 52:447-458.
54. Day, N. E. 1966. Fitting curves to longitudinal data. Biometrics 22(2) 276-291.
55. Leak, W. 1966. Analysis of multiple systematic remeasurements. Forest Science
12(1) 69-73.
56. Hartley, H. O. 1967. Expectations, Variances and Covariances of Anova Mean
Squares by ‘Synthesis’. Biometrics 23:105-114.
57. Hartley, H. O. and J. N. K. Rao. 1967. Maximum-likelihood estimation for the
mixed analysis of variance model. Biometrika 54:93-108.
58. Rao, C. R. 1967. Least Squares Theory Using an Estimated Dispersion Matrix
and its Application to Measurement of Signals. Fifth Berkeley Symposium on
Mathematical Statistics and Probabilities, Vol. I, (L. M. LeCam and Jerzy
Neyman eds.), pp. 355-372.
59. Chapman, D. G. and J. Nam. 1968. Asymptotic power of chi square tests for
linear trends in proportions. Biometrics 24:315-28.
60. Hildreth, C. and J. P. Houck. 1968. Some Estimators for a Linear Model with
Random Coefficients. Journal of the American Statistical Association 63:584595.
61. Rao, C. R. 1968. A Note on a Previous Lemma in the Theory of Least Squares
and Some Further Results. Sankhya 30:259-266.
62. Searle, S. R. 1968. Another look at Henderson’s methods of estimating variance
components. Biometrics 24:749-787.
63. Swamy, P. A. V. B. and G. S. Maddala. 1968. Tests of Random Coefficient vs.
Fixed Coefficient Models Based on the Likelihood Ratio Principle. Department
of Economics at State University of New York at Buffalo, Economic Research
Group, Discussion Paper Number 35.
64. Grizzle, J. E. and D. M. Allen. 1969. Analysis of Growth and Dose Response
Curves. Biometrics 25:357-381.
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65. Hartley, H. O. and S. R. Searle. 1969. A Discontinuity in Mixed Model
Analyses. Biometrics 25: 573-576.
66. Hussain, A. 1969. A mixed model for regressions. Biometrika 56:327-336.
67. Klotz, J. H., R. C. Milton and S. Zacks. 1969. Mean Square Efficiency of
Estimators of Variance Components. Journal of the American Statistical
Association 64:1383-1402.
68. Thompson, R. 1969. Iterative Estimation of Variance Components for NonOrthogonal Data. Biometrics 25:767-773.
69. Wallace, T. D. and A. Hussain. 1969. The Use of Error Components Models in
Combining Cross Section with Time Series Data. Econometrica 37:55-72.
70. Chew, V. 1970. Covariance Matrix Estimation in Linear Models. Journal of the
American Statistical Association 65:173-181.
71. Patterson, H. D. and B. L. Lowe. 1970. The errors of long-term experiments.
Journal of Agricultural Science 74:53-60.
72. Amemiya, T. 1971. The Estimation of the Variances in a Variance-Components
Model. International Economic Review 12:1-13.
73. Hemmerle, W. J. 1971. Maximum Likelihood Algorithms for Linear Models
with Unequal Variances. ARO-D Proposal No. CRDARD-M-8049, “New
Developments in Sample Survey Theory” Technical Report No. 11. 25 pp.
74. Henderson, C. R., Jr. 1971. Comment on “The Use of Error Components Models
in Combining Cross Section with Time Series Data.” Econometrica 39:397-401.
75. Maddala, G. S. 1971. The Use of Variance Components Models in Pooling
Cross Section and Time Series Data. Econometrica 39:341-358.
76. Nerlove, M. 1971. Further Evidence on the Estimation of Dynamic Economic
Relations From a Time Series of Cross Sections. Econometrica 39:359-396.
77. Patterson, H. D. and R. Thompson. 1971. Recovery of inter-block information
when block sizes are unequal. Biometrika 58:545-554.
78. Rao, C. R. 1971. Unified Theory of Linear Estimation. Sankhya 33:371-394.
79. Rudan, J. W. and S. R. Searle. 1971. Attempts at inverting the variancecovariance matrix of the 2-way crossed classification, unbalanced data, random
model. Paper No. BU-353-M in the Biometrics Unit Mimeograph Series.
Department of Plant Breeding and Biometry, Cornell University. 20 pp.
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80. Searle, S. R. 1971. Topics in variance component estimation. Biometrics 27:176.
81. Tiao, G. C. and M. M. Ali. 1971. Analysis of correlated random effects: linear
model with two random components. Biometrika 58:37-51.
82. Townsend, E. C. and S. R. Searle. 1971. Best quadratic unbiased estimation of
variance components from unbalanced data in the 1-Way classification.
Biometrics 27:643-657.
83. Hussain, A. 1972. Some further remarks on a mixed model for regression. Int.
Stat. Rev. 40(1): 37 – 40
84. Lee, J. C. and S. Geisser. 1972. Growth Curve Prediction. Sankhya 34:393-412.
85. Mount, T. D. and S. R. Searle. 1972. Estimating variance components in
covariance Models. Paper No. BU-403-M in the Biometrics Unit Mimeograph
Series, Department of Plant Breeding and Biometry, Cornell University. 28 pp.
86. Rao, C. R. 1972. Estimation of Variance and Covariance Components in Linear
87. Models. Journal of the American Statistical Association 67:112-115.
88. Swamy, P. A. V. B., and S. S. Arora. 1972. The Exact Finite Sample Properties
of the Estimators of Coefficients in the Error Components Regression Models.
Econometrica, 40:261-275.
89. Arora, S. S. 1973. Error Components Regression Models and Their
Applications. Annals of Economic and Social Measurement, 2:451-461.
90. Balestra, P. 1973. Best Quadratic Unbiased Estimators of the VarianceCovariance Matrix in Normal Regression. Journal of Econometrics 1:17-28.
91. Froehlich, B. R. 1973. Some Estimators for a Random Coefficient Regression
Model. Journal of the American Statistical Association, 68:329-335.
92. Fuller, W. A. and G. E. Battese. 1973. Transformations for Estimation of Linear
Models with Nested-Error Structure. Journal of the American Statistical
Association, 68:626-632.
93. Hemmerle, W. J. and H. O. Hartley. 1973. Computing Maximum Likelihood
Estimates for the Mixed A.O.V. Model Using the W Transformation.
Technometrics, 15:819-831.
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94. Henderson, C. R. 1973. Maximum Likelihood Estimation of Variance
Components. 12 pp.
95. Johnson, K . H. and H. L. Lyon. 1973. Experimental Evidence on Combining
Cross-Section and Time Series Information. The Review of Economics and
Statistics 55:465-474.
96. Klotz, J. 1973. Statistical inference in Bernoulli trials with dependence. The
Annals of Statistics 1(2): 373 – 379
97. LaMotte, L. R. 1973. Quadratic Estimation of Variance Components.
Biometrics 29:311-330.
98. Maddala, G. S. and T. D. Mount. 1973. A Comparative Study of Alternative
Estimators for Variance Components Models Used in Econometric Applications.
Journal of the American Statistical Association 68:324-328.
99. Rosenberg, B. 1973. Linear regression with randomly dispersed parameters.
Biometrika, 60:65-72.
100.
Searle, S. R. 1973. Univariate data for multi-variable situations:
estimating variance components. In: Multivariate Statistical Inference (D. G.
Kabe and R. P. Gupta, eds.). Proceedings of the Research Seminar at Dalhousie
University, Halifax, North Holland, Amsterdam., 23-25 March 1972. pp. 197216.
101.
Searle, S. R. 1973. Derivation of prediction formulae. Paper No. BU482-M in the Biometrics Unit Mimeograph Series, Cornell University. 39 pp.
102.
Searle, S. R. and T. R. Rounsaville. 1973. On estimating covariance
components. Paper No. BU-429-M in the Biometrics Unit Mimeograph Series,
Department of Animal Science, Cornell University. 4 pp.
103.
Searle, S. R. and J. W. Rudan. 1973. Wanted: an inverse matrix.
Communications in Statistics 2:155-166.
104.
Swamy, P. A. V. B. 1973. Criteria, Constraints and Multicollinearity in
Random Coefficient Regression Models. Annals of Economic and Social
Management, 2:429-450.
105.
Swamy, P. A. V. B. and J. S. Mehta. 1973. Bayesian Analysis of Error
Components Regression Models. Journal of the American Statistical Association
68:648-658.
106.
Fuller, W. A. and G. E. Battese. 1974. Estimation of Linear Models with
Crossed-Error Structure. Journal of Econometrics 2:67-78.
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107.
Henderson, C. R., S. R. Searle and L. R. Schaeffer. 1974. The invariance
and calculation of method 2 for estimating variance components. Biometrics
30:583-588.
108.
Hsiao, C. 1974. Statistical Inference for a Model with Both Random
Cross-Sectional and Time Effects. International Economic Review 15:12-30.
109.
Kowalski, C. J. and K. E. Guire. 1974. Longitudinal Data Analysis.
Growth 38:131-169.
110.
Searle, S. R. 1974. Prediction, mixed models, and variance components.
Reliability and Biometry. SIAM, Philadelphia. p. 229-266.
111.
Srivastava, J. N. and L. L. McDonald. 1974. Analysis of Growth Curves
Under the Hierarchical Models. Sankhya, 36:251-260.
112.
Swamy, P. A. V. B. 1974. Linear models with random coefficients. In:
Frontiers in Econometrics (P. Zarembka, ed.). 252 pp.
113.
Fearn, T. 1975. A Bayesian approach to growth curves. Biometrika
62:89-100.
114.
Hedayat, A. and K. Afsarinejad. 1975. Repeated Measurements Designs,
I. In: A Survey of Statistical Design and Linear Models (J. N. Srivastava, ed.)
pp. 229-242.
115.
Henderson, C. R. 1975. Best Linear Unbiased Estimation and Prediction
Under a Selection Model. Biometrics 31:423-447.
116.
Hocking, R. R. and M. H. Kutner. 1975. Some Analytical and Numerical
Comparisons of Estimators for the Mixed A.O.V. Model. Biometrics 31:19-27.
117.
Hsiao, C. 1975. Some Estimation Methods for a Random Coefficient
Model. Econometrica 43:305-325.
118.
Ladd, D.W. 1975. An algorithm for the binomial distribution with
dependent trials. Journal of the American Statistical Association 70(350): 334 340
119.
Moriarty, M. 1975. Cross-Sectional, Time-Series Issues in the Analysis
of Marketing Decision Variables. Journal of Marketing Research 12:142-150.
120.
Rao, C. R. 1975. Simultaneous Estimation of Parameters in Different
Linear Models and Applications to Biometric Problems. Biometrics 31:545-554.
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121.
Schaeffer, L. R. 1975. 398: Disconnectedness and Variance Component
Estimation. Biometrics 31:969-977.
122.
Corbeil, R. R. and S. R. Searle. 1976. Restricted Maximum Likelihood
(REML) Estimation of Variance Components in the Mixed Model.
Technometrics 18(1) 31-38.
123.
Corbeil, R. R. and S. R. Searle. 1976. A comparison of variance
component estimators. Biometrics 32:779-791.
124.
Harville, D. 1976. Shorter Communications. Biometrics 32:403-407.
125.
Harville, D. 1976. Extension of the Gauss-Markov Theorem to Include
the Estimation of Random Effects. Annals of Statistics 4:384-395.
126.
Jennrich, R. I. and P. F. Sampson. 1976. Newton-Raphson and Related
Algorithms for Maximum Likelihood Variance Component Estimation.
Technometrics 18:11-17.
127.
Olsen, A., J. Seely and D. Birkes. 1976. Invariant Quadratic Unbiased
Estimation for Two Variance Components. The Annals of Statistics 4:878-890.
128.
Rowell, J. G. and D. E. Walters. 1976. Analysing data with repeated
observations on each experimental unit. Journal of Agricultural Science 87: 423432.
129.
Sullivan, A. D. and M. R. Reynolds, Jr. 1976. Regression Problems from
Repeated Measurements. Forest Science 22:382-385.
130.
Harville, D. A. 1977. Maximum Likelihood Approaches to Variance
Component Estimation and to Related Problems. Journal of the American
Statistical Association 72:320-340.
131.
Havenner, A. and R. Herman. 1977. Computer Algorithm Pooled TimeSeries Cross-Section Estimation. Econometrica 45:1535-1536.
132.
Johnson, L. W. 1977. Stochastic Parameter Regression: An Annotated
Bibliography. International Statistical Review 45:257-272.
133.
Miller, J. J. 1977. Asymptotic Properties of Maximum Likelihood
Estimates in the Mixed Model of the Analysis of Variance. Annals of Statistics
5:746-762.
134.
Nelder, J.A. 1977. A reformulation of linear models. J. R. Statist. Soc. A.,
140: 48 - 77
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135.
Sager, T. W. 1977. A New Approach to Regression in Certain
Time/Space Series Problems, Department of Statistics, Stanford University,
Technical Report No. 11. 12 pp.
136.
Swamy, P. A. V. B. and J. S. Mehta. 1977. Estimation of Linear Models
with Time and Cross-Sectionally Varying Coefficients. Journal of the American
Statistical Association 72:890-898.
137.
Zerbe, G. O. and S. H. Walker. 1977. A Randomization Test for
Comparison of Groups of Growth Curves with Different Polynomial Design
Matrices. Biometrics 33:653-657.
138.
Ahrens, H. 1978. MINQUE and ANOVA Estimator for One-way
Classification - a Risk Comparison. Biometrical Journal 20:535-556.
139.
Amemiy, T. 1978. A Note on a Random Coefficients Model.
International Economic Review 19:793-796.
140.
Lillard, L. A. and R. J. Willis. 1978. Dynamic Aspects of Earning
Mobility. Econometrica 46:985-1012.
141.
Mundlak, Y. 1978. On the Pooling of Time Series and Cross Section
Data. Econometrica 46:69-85.
142.
Rao, P. S. R. S. and Y. P. Chaubey. 1978. Three Modifications of the
Principle of the Minque. Communications in Statistics-Theory & Methods
A7(8):767-778.
143.
Schwertman, N. C. 1978. A Note on the Geisser-Greenhouse Correction
for Incomplete Data Split-Plot Analysis. Journal of the American Statistical
Association 73:393-396.
144.
Searle, S. R. 1978. A summary of recently developed methods of
estimating variance components. Proceedings of the Computer Science and
Statistics 11th Annual Symposium on the Interface (A. R. Gallant and T. M.
Gerig, eds.). NC State University, Institute of Statistics. pp. 64-69.
145.
Seegrist, D. W. & S. L. Arner. 1978. Statistical analysis of linear growth
and yield models with correlated observations from permanent plots remeasured
at fixed intervals. Publica-tion FWS-1-78, School of Forestry and Wildlife
Resources, Virginia Polytechnic Institute and State University.
146.
Swallow, W. H. and S. R. Searle. 1978. Minimum variance quadratic
unbiased estimation (MIVQUE) of variance components. Technometrics 20:265272.
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147.
Taylor, W. E. 1978. The Heteroscedastic Linear Model: Exact Finite
Sample Results. Econometrica 46:663-675
148.
Ward, R. W. and J. E. Davis. 1978. A Pooled Cross-Section Time Series
Model of Coupon Promotions. American Journal of Agricultural Economics
60:393-401.
149.
Berzeg, K. 1979. The Error Components Model. Journal of
Econometrics 10:99-102.
150.
Glasbey, C. A. 1979. Correlated Residuals in Non-linear Regression
Applied to Growth Data. Applied Statistics 28:251-259.
151.
Hess, J. L. 1979. Sensitivity of MINQUE with Respect to A Priori
Weights. Biometrics 35:645-649.
152.
Kiefer, N. M. 1979. Population Heterogeneity and Inference from Panel
Data on the Effects of Vocational Education. Journal of Political Economy
87:S213-S226.
153.
Liu, L-M. 1979. A Bayesian Approach to Random Coefficient
Regression Models. BMDP Statistical Software, Department of Biomathematics,
University of California, Los Angeles, Technical Report No. 62. 17 pp.
154.
Liu, L-M. and G. C. Tiao. 1979. Random Coefficient First Order
Autoregressive Models. BMDP Statistical Software, Department of
Biomathematics, University of California, Los Angeles, Technical Report No. 64.
26 pp.
155.
Sandland, R. L. and C. A. McGilchrist. 1979. Stochastic Growth Curve
Analysis. Biometrics 35:255-271.
156.
Searle, S. R. and H. V. Henderson. 1979. Dispersion matrices for
variance components models. Journal of the American Statistical Association
74:465-470.
157.
Taub, A. J. 1979. Prediction in the context of the variance-components
model. Journal of Econometrics 10:103-107.
158.
Zerbe, G. O. 1979. Randomization Analysis of the Completely
Randomized Design Extended to Growth and Response Curves. Journal of the
American Statistical Association 74:215-221.
159.
Davidson, M. L. 1980. The Multivariate Approach to Repeated
Measures. Presented at meeting of the American Statistical Association,
Technical Report No. 75. 29 pp.
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160.
Johnson, L. W. 1980. Stochastic Parameter Regression: an Additional
Annotated Bibliography. International Statistical Review 48:95-102.
161.
Kiefer, N. M. 1980. Estimation of Fixed Effect Models for Time Series
of Cross-Sections with Arbitrary Intertemporal Covariance. Journal of
Econometrics 14:195-202.
162.
Sheiner, L. B. and S. L. Beal. 1980. Evaluation of Methods for
Estimating Population Pharmacokinetic Parameters. I. Michaelis-Menten Model:
Routine Clinical Pharmacokinetic Data. Journal of Pharmacokinetics and
Biopharmaceutics 8:553-571.
163.
Taylor, W. E. 1980. Small Sample Consideration in Estimation from
Panel Data. Journal of Econometrics 13:203-223.
164.
Zerbe, G. O. and R. H. Jones. 1980. On Application of Growth Curve
Techniques to Time Series Data. Journal of the American Statistical Association
75:507-509.
165.
Ahrens, H. and R. Pincus. 1981. On Two Measures of Unbalancedness in
a One-Way Model and Their Relation to Efficiency. Biometrical Journal 23:227235.
166.
Ahrens, H., J. Kleffe and R. Tenzler. 1981. Mean Square Error
Comparison for MINQUE, ANOVA and Two Alternative Estimators Under the
Unbalanced One-Way Random Model. Biometrical Journal 23:323-342.
167.
Anderson, T. W. and C. Hsiao. 1981. Estimation of Dynamic Models
with Error Components. Journal of the American Statistical Association 76:598606.
168.
Baltagi, B. H. 1981. POOLING. An Experimental Study of Alternative
Testing and Estimation Procedures in a Two-Way Error Component Model.
Journal of Econometrics 17:21-49.
169.
Biørn, E. 1981. Estimating Economic Relations From Incomplete CrossSection/Tim-Series Data. Journal of Econometrics 15:221-236.
170.
Goldstein, H. 1981. Some Graphical Procedures for the Preliminary
Processing of Longitudinal Data. In: Interpreting Multivariate Data (V. Barnett,
ed.). pp. 307-319.
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