Results 291 to 300 of about 219,700 (321)

Akaike Information Criterion

2022
openaire   +1 more source

Critical interphase overpotential as a lithium dendrite-suppression criterion for all-solid-state lithium battery design

Nature Energy, 2023
Xinzi He, Chunsheng Wang
exaly  

Akaike’s Information Criterion (AIC) and the Third Variance

2013
One statistic in selecting a multiple regression equation is Mallows’ C p , which is an approximation of the error variance of the estimates given by a multiple regression equation. This error variance multiplied by n is written as $$\displaystyle\begin{array}{rcl} E{\Bigl [\sum _{i=1}^{n}{(\hat{y}_{ i} - E[y_{i}])}^{2}\Bigr ]}& =& E{\Bigl [{\bigl (
openaire   +1 more source

Coalescence of black hole–neutron star binaries

Living Reviews in Relativity, 2021
Koutarou Kyutoku, Masaru Shibata, Keisuke Taniguchi   +2 more
exaly  

Akaike's information criterion

2001
openaire   +2 more sources

Akaike's information criterion and Schwarz's criterion [PDF]

Stata Technical Bulletin, 1999
Aurelio Tobias, Michael J. Campbell
openaire  

Akaike Information Criterion Statistics

Technometrics, 1989
openaire   +1 more source

Personalized response-directed surgery and adjuvant therapy after neoadjuvant ipilimumab and nivolumab in high-risk stage III melanoma: the PRADO trial

Nature Medicine, 2022
Robyn P M Saw, Ellen H W Kapiteijn, Astrid A M Van Der Veldt   +2 more
exaly  

Robust Akaike Information Criterion for ARMA models

2004
A robust version of the Akaike Information Criterion (AIC) [5] is defined to the aim of selecting the order of an ARMA model. It is an extended version of the classical criterion based on weighted likelihood methodology [12]. To achieve robustness a weight is associated to each component of the conditional log–likelihood [3].
openaire   +1 more source

Akaike information criterion statistics

Mathematics and Computers in Simulation, 1987
openaire   +1 more source