Results 231 to 240 of about 2,119,441 (264)
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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
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Statistical Inference in Linear Models.
Biometrics, 1987Statistical 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), 1975This 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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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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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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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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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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Relationships between Linear Statistical Models
British Journal of Mathematics & Computer Science, 2015To study the relationship between the linear statistical models we used methods of linear algebra, Hilbert spaces and statistics. It was found that there is a linear relationship between linear statistical models which is expressed by a matrix equality.
Vladimir Panov, Anatoly Varaksin
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Statistics: general linear models (a flexible approach)
Journal of Small Animal Practice, 2014This article moves on to discuss a type of statistical testing different from those we have discussed previously, namely a General Linear Model. This system incorporates a number of other statistical models and is a powerful tool used widely in modern statistics.
M, Scott, D, Flaherty, J, Currall
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Random weightingT-statistics in linear regression models
Acta Mathematica Sinica, 1995Summary: We have constructed a random weighting statistic to approximate the distribution of the Studentized least square estimator in a linear regresion model with ideal accuracy \(o(n^{- 1/2})\). Thus, we have provided a more practical distribution approximation method.
Shi, Jian, Zheng, Zhongguo
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