Parsimony in model selection: Tools for assessing fit propensity.

Psychological Methods ◽

10.1037/met0000422 ◽

2021 ◽

Author(s):

Carl F. Falk ◽

Michael Muthukrishna

Keyword(s):

Model Selection ◽

Selection Tools

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Model Selection Tools for Hydrological Frequency Analysis: Some New Results

World Environmental and Water Resources Congress 2017 ◽

10.1061/9780784480618.038 ◽

2017 ◽

Author(s):

Fahim Ashkar

Keyword(s):

Model Selection ◽

Frequency Analysis ◽

Hydrological Frequency Analysis ◽

Selection Tools

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An Introduction to Model Selection: Tools and Algorithms

Tutorials in Quantitative Methods for Psychology ◽

10.20982/tqmp.02.1.p001 ◽

2006 ◽

Vol 2 (1) ◽

pp. 1-10 ◽

Cited By ~ 32

Author(s):

Sébastien Hélie

Keyword(s):

Model Selection ◽

Selection Tools

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A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools

Ecological Modelling ◽

10.1016/j.ecolmodel.2007.10.030 ◽

2008 ◽

Vol 211 (1-2) ◽

pp. 1-10 ◽

Cited By ~ 112

Author(s):

Eric J. Ward

Keyword(s):

Maximum Likelihood ◽

Model Selection ◽

Likelihood Model ◽

Selection Tools

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Supplemental Material for Parsimony in Model Selection: Tools for Assessing Fit Propensity

Psychological Methods ◽

10.1037/met0000422.supp ◽

2021 ◽

Keyword(s):

Model Selection ◽

Selection Tools

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ON SUITABLE MODEL SELECTION APPROACH FOR ANALYSIS OF MENTAL HEALTH SERVICE USE DATA

IAPQR TRANSACTIONS ◽

10.32381/iapqrt.2019.43.02.6 ◽

2019 ◽

Vol 43 (2) ◽

pp. 212-222

Author(s):

DULAL K. BHAUMIK ◽

◽

SUBHASH ARYAL ◽

SCOTT HUR ◽

◽

...

Keyword(s):

Mental Health ◽

Mental Health Service ◽

Model Selection ◽

Health Service ◽

Service Use ◽

Mental Health Service Use ◽

Health Service Use ◽

Suitable Model ◽

Model Selection Approach ◽

Selection Approach

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A Teaching Note for Model Selection and Validation

Mathematical Journal of Interdisciplinary Sciences ◽

10.15415/mjis.2013.12012 ◽

2013 ◽

Vol 1 (2) ◽

pp. 55-62 ◽

Cited By ~ 1

Author(s):

K. Muralidharan

Keyword(s):

Model Selection

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A Diagnostic Framework for "Bashed" Wells in Unconventional Reservoirs: A Numerical Simulation and Model Selection Theory Approach

Proceedings of the 4th Unconventional Resources Technology Conference ◽

10.15530/urtec-2016-2448463 ◽

2016 ◽

Cited By ~ 3

Author(s):

L. Zhe ◽

R. Younis ◽

J. Jiang

Keyword(s):

Numerical Simulation ◽

Model Selection ◽

Unconventional Reservoirs ◽

Theory Approach ◽

Selection Theory ◽

Diagnostic Framework

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A Model Selection Approach to the Two-Phase Regression Estimation and The Human Sensitivity Analysis in Urban Ecosystem

Behaviormetrika ◽

10.2333/bhmk.10.13_1 ◽

1983 ◽

Vol 10 (13) ◽

pp. 1-18

Author(s):

Masashi Itoh ◽

Kazuo Noda ◽

Yutaka Shinada ◽

Naomi Tachibana

Keyword(s):

Sensitivity Analysis ◽

Model Selection ◽

Urban Ecosystem ◽

Regression Estimation ◽

Two Phase ◽

Model Selection Approach ◽

Selection Approach

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Lakes Marion-Moultrie stream system investigation: Part I- Model selection, calibration, and error analysis

10.3133/wri7425 ◽

1974 ◽

Keyword(s):

Model Selection ◽

Error Analysis ◽

Stream System

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Deep Learning Model Selection of Suboptimal Complexity

Автоматика и телемеханика ◽

10.31857/s000523100001252-1 ◽

2018 ◽

pp. 129-147

Author(s):

Oleg Bakhteev ◽

◽

Vadim Strijov ◽

Keyword(s):

Deep Learning ◽

Model Selection ◽

Learning Model ◽

Deep Learning Model ◽

Selection Of

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