Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...
Kansas City Chiefs quarterback Patrick Mahomes had a historic 2018 season. This is not a radical opinion. In the history of the league, only one other second-year quarterback has put up the kind of ...
BACKGROUND The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health, and ...
Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...
Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...
In the first paper in this series, 1 we presented important considerations in basic statistics and univariate analyses for studies involving outcomes of bone marrow transplantation. Regression or ...
This is a preview. Log in through your library . Abstract Nonlinear regression models are commonly used in toxicology and pharmacology. When fitting nonlinear models ...
Explaining the good and bad of regression to the mean and how it can help predict the future and improve your fantasy rosters ...
The Durbin Watson statistic is a number that tests for autocorrelation in the residuals from a statistical regression analysis.
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