Publication: Hierarchical Bayesian ANOVA for multivariate and spatial data with application to climate projections
Hierarchical Bayesian ANOVA for multivariate and spatial data with application to climate projections
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Geinitz, S. R. (2013). Hierarchical Bayesian ANOVA for multivariate and spatial data with application to climate projections. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-94033
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Applied statistics as an independent field of study can be said to have been recognized as such roughly a century ago. A large part of this recognition can be attributed to analysis of variance, a method which has been of paramount importance for much of the scientific and industrial progress throughout the 20th century. However, as the complexity of experiments and data has increased during this time, so has the difficulty in carrying out an analysis of variance. Often it is difficult to understand how statistical parameters correspo
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Geinitz, S. R. (2013). Hierarchical Bayesian ANOVA for multivariate and spatial data with application to climate projections. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-94033
