Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Mark L. Taper"'
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/b40743c8bbc14af9ad165eac97517103
Autor:
John H. Powell, Steven T. Kalinowski, Mark L. Taper, Jay J. Rotella, Corey S. Davis, Robert A. Garrott
Publikováno v:
Entropy, Vol 25, Iss 3, p 403 (2023)
Inbreeding depression can reduce the viability of wild populations. Detecting inbreeding depression in the wild is difficult; developing accurate estimates of inbreeding can be time and labor intensive. In this study, we used a two-step modeling proc
Externí odkaz:
https://doaj.org/article/ba936d2a3c654c5a92554aef85f4b15b
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2021)
Scientists need to compare the support for models based on observed phenomena. The main goal of the evidential paradigm is to quantify the strength of evidence in the data for a reference model relative to an alternative model. This is done via an ev
Externí odkaz:
https://doaj.org/article/b1c7fe0a90864fe29e63e5880257f7dd
Publikováno v:
Entropy, Vol 24, Iss 9, p 1273 (2022)
Scope and Goals of the Special Issue: There is a growing realization that despite being the essential tool of modern data-based scientific discovery and model testing, statistics has major problems [...]
Externí odkaz:
https://doaj.org/article/20ab3b36a6cd444e98652613e09382e2
Autor:
José Miguel Ponciano, Mark L. Taper
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
Information criteria have had a profound impact on modern ecological science. They allow researchers to estimate which probabilistic approximating models are closest to the generating process. Unfortunately, information criterion comparison does not
Externí odkaz:
https://doaj.org/article/c54dcae9c14a423fa02b7a00ed8d52a6
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
We investigate a class of information criteria based on the informational complexity criterion (ICC), which penalizes model fit based on the degree of dependency among parameters. In addition to existing forms of ICC, we develop a new complexity meas
Externí odkaz:
https://doaj.org/article/7434f58ba6244d49be6b04715b8f335f
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive. We approximate analytically and numerically the performance of Neyman-Pearson hyp
Externí odkaz:
https://doaj.org/article/8b3cb57be20a45f7aa5e214fb0b9eea4
Autor:
Christopher L. Jerde, Krista Kraskura, Erika J. Eliason, Samantha R. Csik, Adrian C. Stier, Mark L. Taper
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
As an example of applying the evidential approach to statistical inference, we address one of the longest standing controversies in ecology, the evidence for, or against, a universal metabolic scaling relationship between metabolic rate and body mass
Externí odkaz:
https://doaj.org/article/b4027f7cb9884c21924f4c4595967807
Publikováno v:
Frontiers in ecology and evolution
Frontiers in Ecology and Evolution, Vol 7 (2019)
Frontiers in Ecology and Evolution, Vol 7 (2019)
The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive. We approximate analytically and numerically the performance of Neyman-Pearson hyp