Titlebook: Linear Models for Multivariate, Time Series, and Spatial Data; Ronald Christensen Textbook 19911st edition Springer-Verlag New York 1991 C

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书目名称Linear Models for Multivariate, Time Series, and Spatial Data影响因子(影响力)




书目名称Linear Models for Multivariate, Time Series, and Spatial Data影响因子(影响力)学科排名




书目名称Linear Models for Multivariate, Time Series, and Spatial Data网络公开度




书目名称Linear Models for Multivariate, Time Series, and Spatial Data网络公开度学科排名




书目名称Linear Models for Multivariate, Time Series, and Spatial Data被引频次




书目名称Linear Models for Multivariate, Time Series, and Spatial Data被引频次学科排名




书目名称Linear Models for Multivariate, Time Series, and Spatial Data年度引用




书目名称Linear Models for Multivariate, Time Series, and Spatial Data年度引用学科排名




书目名称Linear Models for Multivariate, Time Series, and Spatial Data读者反馈




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Linear Models for Spatial Data: Kriging,ive details of the geostatistical approach using geostatistical terminology. Ripley (1981) takes a point of view that is probably more familiar to most statisticians. He uses ideas of prediction for stochastic processes that are closely related to time series methods. See also Cliff and Ord (1981).

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Linear Models for Multivariate, Time Series, and Spatial Data

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Textbook 19911st editionew insights become avail­ able. In fact, sophisticatedly simple models of the world may be the only ones that work. I have often heard Arnold Zellner say that, to the best of his knowledge, this is true in econometrics. The process of modeling is fundamental to understanding the world.

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Ronald Christensengist manages the cooling of the patient’s core temperature before the hyperthermic perfusion and monitors the patient’s vital parameters, particularly the core temperature, during the perfusion. The perfusionist, often recruited from cardiac surgery because of experience with the techniques of cardi

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