Search results
Results from the WOW.Com Content Network
Statistical Modelling is a bimonthly peer-reviewed scientific journal covering statistical modelling. It is published by SAGE Publications on behalf of the Statistical Modelling Society. The editors-in-chief are Brian D. Marx ( Louisiana State University ), Vicente Núñez-Antón ( University of the Basque Country ), and Arnošt Komárek ...
Annals of Applied Statistics; Journal of Applied Statistics; Journal of the Royal Statistical Society, Series C: Applied Statistics; Journal of Statistical Software; Statistical Modelling; Statistics and its Interface; The R Journal; The Stata Journal; The Journal of Risk Model Validation
George Box. The phrase "all models are wrong" was first attributed to George Box in a 1976 paper published in the Journal of the American Statistical Association.In the paper, Box uses the phrase to refer to the limitations of models, arguing that while no model is ever completely accurate, simpler models can still provide valuable insights if applied judiciously. [1]
The Statistical Modelling Society was founded in June 2003. It was preceded by its journal (which was launched in 2001) and the workshops, which were first held in 1986. The origins of the society lie in Austria, the UK and Italy, where the first workshops were held.
A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population). A statistical model represents, often in considerably idealized form, the data-generating process . [ 1 ]
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to ...
Structural Equation Modeling is a peer-reviewed scientific journal publishing methodological and applied papers on structural equation modeling, a blend of multivariate statistical methods from factor analysis to systems of regression equations, with applications across a broad spectrum of social sciences as well as biology.
GLIM (an acronym for Generalized Linear Interactive Modelling) is a statistical software program for fitting generalized linear models (GLMs). It was developed by the Royal Statistical Society's Working Party on Statistical Computing (later renamed the GLIM Working Party), [1] chaired initially by John Nelder. [2]