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The Canadian Journal of Statistics; Communications in Statistics; International Statistical Review; Journal of the American Statistical Association; Journal of Multivariate Analysis; Journal of the Royal Statistical Society; Probability and Mathematical Statistics; Sankhyā: The Indian Journal of Statistics; Scandinavian Journal of Statistics ...
Ordination methods can broadly be categorized in eigenvector-, algorithm-, or model-based methods. Many classical ordination techniques, including principal components analysis, correspondence analysis (CA) and its derivatives (detrended correspondence analysis, canonical correspondence analysis, and redundancy analysis, belong to the first group).
Bert Wachsmuth "Statistics in the Classroom on Touch-based Smart Phones" The Impact of Pen and Touch Technology on Education, Part of the Human–Computer Interaction Series pp 289–296, Springer (2015) Webster West "Social Data Analysis with StatCrunch: Potential Benefits to Statistical Education" UCLA Department of Statistics (2009)
The impact factor relates to a specific time period; it is possible to calculate it for any desired period. For example, the JCR also includes a five-year impact factor, which is calculated by dividing the number of citations to the journal in a given year by the number of articles published in that journal in the previous five years. [14] [15]
Citation impact or citation rate is a ... however the computation of such a universal measure requires the collection of extensive citation data and statistics ...
In Bayesian statistics, the model is extended by adding a probability distribution over the parameter space . A statistical model can sometimes distinguish two sets of probability distributions. The first set Q = { F θ : θ ∈ Θ } {\displaystyle {\mathcal {Q}}=\{F_{\theta }:\theta \in \Theta \}} is the set of models considered for inference.
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The model for a randomized block design with one nuisance variable is = + + + where Y ij is any observation for which X 1 = i and X 2 = j X 1 is the primary factor X 2 is the blocking factor μ is the general location parameter (i.e., the mean)