Root mean square error (RMSE) or mean absolute error (MAE): When to use them or not
TO Hodson - Geoscientific Model Development Discussions, 2022 - gmd.copernicus.org
The mean absolute error (MAE) and root mean squared error (RMSE) are widely used
metrics for evaluating models. Yet, there remains enduring confusion over their use, such …
metrics for evaluating models. Yet, there remains enduring confusion over their use, such …
The reign of the p-value is over: what alternative analyses could we employ to fill the power vacuum?
LG Halsey - Biology letters, 2019 - royalsocietypublishing.org
The p-value has long been the figurehead of statistical analysis in biology, but its position is
under threat. p is now widely recognized as providing quite limited information about our …
under threat. p is now widely recognized as providing quite limited information about our …
Primary forests are irreplaceable for sustaining tropical biodiversity
Human-driven land-use changes increasingly threaten biodiversity, particularly in tropical
forests where both species diversity and human pressures on natural environments are …
forests where both species diversity and human pressures on natural environments are …
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
We briefly outline the information-theoretic (IT) approaches to valid inference including a
review of some simple methods for making formal inference from all the hypotheses in the …
review of some simple methods for making formal inference from all the hypotheses in the …
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion
MRE Symonds, A Moussalli - Behavioral ecology and sociobiology, 2011 - Springer
Akaike's information criterion (AIC) is increasingly being used in analyses in the field of
ecology. This measure allows one to compare and rank multiple competing models and to …
ecology. This measure allows one to compare and rank multiple competing models and to …
PLS-based model selection: The role of alternative explanations in information systems research
Exploring theoretically plausible alternative models for explaining the phenomenon under
study is a crucial step in advancing scientific knowledge. This paper advocates model …
study is a crucial step in advancing scientific knowledge. This paper advocates model …
[图书][B] Practical use of the information-theoretic approach
KP Burnham, DR Anderson, KP Burnham… - 1998 - Springer
Abstract Model building and data analysis in the biological sciences somewhat presupposes
that the person has some advanced education in the quantitative sciences, and statistics in …
that the person has some advanced education in the quantitative sciences, and statistics in …
AIC model selection using Akaike weights
EJ Wagenmakers, S Farrell - Psychonomic bulletin & review, 2004 - Springer
The Akaike information criterion (AIC; Akaike, 1973) is a popular method for comparing the
adequacy of multiple, possibly nonnested models. Current practice in cognitive psychology …
adequacy of multiple, possibly nonnested models. Current practice in cognitive psychology …
Evaluating resource selection functions
A resource selection function (RSF) is any model that yields values proportional to the
probability of use of a resource unit. RSF models often are fitted using generalized linear …
probability of use of a resource unit. RSF models often are fitted using generalized linear …
[图书][B] Model based inference in the life sciences: a primer on evidence
DR Anderson - 2007 - books.google.com
The abstract concept of “information” can be quantified and this has led to many important
advances in the analysis of data in the empirical sciences. This text focuses on a science …
advances in the analysis of data in the empirical sciences. This text focuses on a science …