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The Annual Review of Statistics and Its Application was first published in 2014 by nonprofit publisher Annual Reviews. Its founding editor was Stephen E. Fienberg. [3] Following Fienberg's death in 2016, associate editor Nancy Reid completed the 2017 volume, of which Feinberg is credited as editor. Reid is credited as editor beginning in 2018.
The Review of Economics and Statistics is a peer-reviewed academic journal that covers applied economics, with specific relevance to the scope of econometrics. The editors-in-chief are Will Dobbie ( Harvard University ) and Raymond Fisman ( Boston University ).
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 ...
d-separation; D/M/1 queue; D'Agostino's K-squared test; Dagum distribution; DAP – open source software; Data analysis; Data assimilation; Data binning; Data classification (business intelligence)
As a statistics journal it publishes articles primarily focused on the application of statistics, statistical theory and methods in economic, social, physical, engineering, and health sciences. The journal also includes reviews of academic books which are important to the advancement of the field. [1]
Statistical Science is a review journal published by the Institute of Mathematical Statistics.The founding editor was Morris H. DeGroot, who explained the mission of the journal in his 1986 editorial: [1]
The Review of Economic Studies (also known as REStud) is a quarterly peer-reviewed academic journal covering economics. The journal is widely considered one of the top 5 journals in economics. [ 1 ] It is managed by the editorial board currently chaired by Ruben Enikolopov.
Principles and Procedures of Statistics with Special Reference to the Biological Sciences. Authors: Steel, R.G.D, and Torrie, J. H. Publication data: McGraw Hill (1960) 481 pages Description: Excellent introductory text for analysis of variance (one-way, multi-way, factorial, split-plot, and unbalanced designs). Also analysis of co-variance ...