| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion
|
Symonds, Matthew R. E.
|
|
2010
|
65 |
1 |
p. 13-21
|
article
|
| 2 |
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
|
Burnham, Kenneth P.
|
|
2010
|
65 |
1 |
p. 23-35
|
article
|
| 3 |
Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse
|
Forstmeier, Wolfgang
|
|
2010
|
65 |
1 |
p. 47-55
|
article
|
| 4 |
Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error
|
Freckleton, Robert P.
|
|
2010
|
65 |
1 |
p. 91-101
|
article
|
| 5 |
Developing multiple hypotheses in behavioral ecology
|
Dochtermann, Ned A.
|
|
2010
|
65 |
1 |
p. 37-45
|
article
|
| 6 |
Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction
|
Garamszegi, László Zsolt
|
|
2010
|
65 |
1 |
p. 1-11
|
article
|
| 7 |
Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective
|
Mundry, Roger
|
|
2010
|
65 |
1 |
p. 57-68
|
article
|
| 8 |
Model averaging, missing data and multiple imputation: a case study for behavioural ecology
|
Nakagawa, Shinichi
|
|
2010
|
65 |
1 |
p. 103-116
|
article
|
| 9 |
Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework
|
Richards, Shane A.
|
|
2010
|
65 |
1 |
p. 77-89
|
article
|
| 10 |
Using information theory as a substitute for stepwise regression in ecology and behavior
|
Hegyi, Gergely
|
|
2010
|
65 |
1 |
p. 69-76
|
article
|
Journal description