Results 261 to 270 of about 9,108 (291)

Provenance-Specific Chilling and Forcing Requirements Shape Spring Phenology in Three European Temperate Tree Species. [PDF]

Glob Chang Biol
Wu Z, Walde MG, Beil I, Klisz M, Vitasse Y.   +4 more
europepmc   +1 more source

Marked Point Process Secretory Events Statistically Characterize Leptin Pulsatile Dynamics. [PDF]

J Endocr Soc
Xiang Q, Reddy R, Faghih RT.
europepmc   +1 more source

Testing the Fairness of a Coin by Akaike’s Information Criterion

Testing the Fairness of a Coin by Akaike’s Information Criterion
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Akaike's information criterion [PDF]

, 2001
core   +3 more sources

Akaike's Information Criterion [PDF]

, 2012
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Marker Selection by Akaike Information Criterion and Bayesian Information Criterion

Genetic Epidemiology, 2001
We carried out a discriminant analysis with identity by descent (IBD) at each marker as inputs, and the sib pair type (affected‐affected versus affected‐unaffected) as the output. Using simple logistic regression for this discriminant analysis, we illustrate the importance of comparing models with different number of parameters.
Li, W., Nyholt, D.R.
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Akaike's Information Criterion and the Histogram

Biometrika, 1987
By interpreting the histogram as a step-function, we explore the use of Akaike's information criterion in an automatic procedure to determine the histogram class width. We obtain an asymptotic relationship and present some results from a small simulation study.
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Exponential Smoothing and the Akaike Information Criterion [PDF]

, 2009
Using an innovations state space approach, it has been found that the Akaike information criterion (AIC) works slightly better, on average, than prediction validation on withheld data, for choosing between the various common methods of exponential smoothing for forecasting. There is, however, a puzzle.
Ralph D. Snyder, J. Keith Ord
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Akaike's Information Criterion in Packer Test Analysis

SPE/EAGE Reservoir Characterization and Simulation Conference, 2009
Abstract Gradient techniques are used predominantly in History Matching and Optimization. In this paper gradient technique was used in estimation of multiple packer test data (permeability distribution of very low permeable formations). A high pressure gas chamber has been released into the formation and pressure changes in this chamber ...
M.M. Rafiee, F. Haefner, H.D. Voigt
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Akaike's Information Criterion in Generalized Estimating Equations

Biometrics, 2001
Summary. Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model‐selection criteria available in GEE. The well‐known Akaike Information Criterion (AIC)
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