Results 61 to 70 of about 106,782 (140)
SUBSET: Best Subsets using Information Criteria [PDF]
SUBSET, written in the matrix language Gauss, is a program that identifies optimal subsets of means or proportions based on independent groups. All possible configurations of ordered subsets of groups are identified and the best model is selected using ...
C. Mitchell Dayton
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AIC, Cp and estimators of loss for elliptically symmetric distributions
In this article, we develop a modern perspective on Akaike's Information Criterion and Mallows' Cp for model selection. Despite the diff erences in their respective motivation, they are equivalent in the special case of Gaussian linear regression.
Boisbunon, Aurélie +4 more
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Variable Selection in Multivariable Regression Using SAS/IML [PDF]
This paper introduces a SAS/IML program to select among the multivariate model candidates based on a few well-known multivariate model selection criteria. Stepwise regression and all-possible-regression are considered.
Ali A. Al-Subaihi
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In the present study, I developed and tested an R module to explore the best models within the context of multilevel modeling in research in public health. The module that I developed, explore.models, compares all possible candidate models generated from
Hyemin Han
doaj +1 more source
Forests contribute significantly in mitigating the effects of climate change by sequestering atmospheric carbon in biomass and soil. To comprehend carbon stock and sequestration, forest degradation, and climate change mitigation, precise calculation ...
Biswajit Das +4 more
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Is the Australian Forex Market Efficient? A Test of the Forward Rate Unbiasness Hypothesis [PDF]
This paper features a test of the forward rate unbiasedness hypothesis (FRUH), using the Australian dollar with the United States and Japanese currencies using daily frequencies.
David E. Allen, Paul Taco
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This study investigates dynamic-order selection in Adaptive Polynomial Kalman Filtering (APKF) for tracking the bioinspired dual-sheath needle systems used in biopsy procedures. Emphasizing integration of sensor data and hybrid image processing, the goal
Dileep Sivaraman +4 more
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The Optimal Prediction Simultaneous Equations Selection [PDF]
This paper presents a method for selection of the optimal simultaneous equation system from a set of nested models under the condition of a small sample. The purpose of selection is to identify a model with the best prognostic possibilities. Multivariate
Alexander Gorobets
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Forecasting Volatility of the Nordic Electricity Market an Application of the MSGARCH
This paper studies the volatility of electricity spot prices in the Nordic market (Sweden, Finland, Denmark, and Norway) under regime switching. Utilizing Markov-switching GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models, we ...
Muhammad Naeem +3 more
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ESTIMATING THE SYSTEM ORDER BY SUBSPACE METHODS [PDF]
This paper discusses how to determine the order of a state-space model. To do so, we start by revising existing approaches and find in them three basic shortcomings: i) some of them have a poor performance in short samples, ii) most of them are not ...
Alfredo Garcia-Hiernaux +2 more
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