The akaike information criterion will not choose the no common mechanism model.
نویسندگان
چکیده
MARK T. HOLDER1,∗, PAUL O. LEWIS2, AND DAVID L. SWOFFORD3,4 1Department of Ecology and Evolutionary Biology, University of Kansas, 1200 Sunnyside Avenue, Lawrence, KS 66045, USA; 2Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Unit 3043, Storrs, CT 06269-3043, USA; 3Institute for Genome Sciences and Policy Center for Evolutionary Genomics, Duke University, Durham, NC 27708, USA; and 4National Evolutionary Synthesis Center, 2024 W. Main Street, Durham, NC 27705, USA; ∗Correspondence to be sent to: Department of Ecology and Evolutionary Biology, University of Kansas, 1200 Sunnyside Avenue, Lawrence, KS 66045, USA; E-mail: [email protected].
منابع مشابه
Point of View The Akaike Information Criterion Will Not Choose the No Common Mechanism Model
MARK T. HOLDER1,∗, PAUL O. LEWIS2, AND DAVID L. SWOFFORD3,4 1Department of Ecology and Evolutionary Biology, University of Kansas, 1200 Sunnyside Avenue, Lawrence, KS 66045, USA; 2Department of Ecology and Evolutionary Biology, University of Connecticut, 75 North Eagleville Road, Unit 3043, Storrs, CT 06269-3043, USA; 3Institute for Genome Sciences and Policy Center for Evolutionary Genomics, D...
متن کاملتحلیل بقای نیمه پارامتری و پارامتری بیماران مبتلا به بتا تالاسمی ماژور
Background: Beta-thalassemia major is a very severe blood disease, its Clinical signs are premature and appear from 3 to 6 months of age. It is one of the most common monogenic diseases in the world and in Iran, and if it is not diagnosed and treated during the first years of life, it will lead to death. In this study, to check the factors affecting the survival of patients with beta-thalassemi...
متن کاملThe Behaviour of the Akaike Information Criterion When Applied to Non-nested Sequences of Models
A typical approach to the problem of selecting between models of differing complexity is to choose the model with the minimum Akaike Information Criterion (AIC) score. This paper examines a common scenario in which there is more than one candidate model with the same number of free parameters which violates the conditions under which AIC was derived. The main result of this paper is a novel upp...
متن کاملVariable Selection with Akaike Information Criteria : a Comparative Study
In this paper, the problem of variable selection in linear regression is considered. This problem involves choosing the most appropriate model from the candidate models. Variable selection criteria based on estimates of the Kullback-Leibler information are most common. Akaike’s AIC and bias corrected AIC belong to this group of criteria. The reduction of the bias in estimating the Kullback-Leib...
متن کاملGene Selection Using Logistic Regressions Based on Aic, Bic and Mdl Criteria
In microarray-based cancer classification, gene selection is an important issue owing to the large number of variables (gene expressions) and the small number of experimental conditions. Many gene-selection and classification methods have been proposed; however most of these treat gene selection and classification separately, and not under the same model. We propose a Bayesian approach to gene ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Systematic biology
دوره 59 4 شماره
صفحات -
تاریخ انتشار 2010