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Applied Linear Statistical Models.

Journal of the American Statistical Association, 1986
(1986). Applied Linear Statistical Models. Journal of Quality Technology: Vol. 18, No. 1, pp. 76-77.
Eric R. Ziegel   +3 more
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Applied Linear Statistical Models

Technometrics, 1997
(1997). Applied Linear Statistical Models. Journal of Quality Technology: Vol. 29, No. 2, pp. 233-233.
Eric R. Ziegel   +4 more
  +4 more sources

Linear statistical models

Computational Statistics & Data Analysis, 1996
Angela M. Dean, James Stapleton
  +7 more sources

Statistical Inference in Linear Models.

Biometrics, 1987
Statistical problems in modelling causal relationships estimating linear parameters estimating linear parameters using additional information admissibility and improvements of the generalized least squares estimator testing linear hypotheses confidence regions for linear parameters and regression functions Bayesian methods and structural inference ...
Eric Ziegel, H. Bunke, O. Bunke
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Applied Linear Statistical Models.

Journal of the Royal Statistical Society. Series A (General), 1975
This text uses an applied approach, with an emphasis on the understanding of concepts and exposition by means of examples. Sufficient theoretical information is provided to enable applications of regression analysis to be carried out. Case studies are used to illustrate many of the statistical methods.
V. Barnett   +2 more
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Linear Statistical Models

1994
Linear models form the core of classical statistics and are still the basis of much of statistical practice; many modern modelling and analytical techniques build on the methodology developed for linear models.
W. N. Venables, B. D. Ripley
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Applied Linear Statistical Models

Journal of the American Statistical Association, 2008
(2008). Applied Linear Statistical Models. Journal of the American Statistical Association: Vol. 103, No. 482, pp. 880-880.
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Linear Statistical Models

1970
We now come to the application of the notions and results, which were given in paragraph 2. We first introduce the concept of a linear statistical model.
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