A new random convolutional Kernel-based system for transmission line fault classification.
- Published in:
- Computational & Applied Mathematics, 2025, v. 44, n. 5, p. 1, doi. 10.1007/s40314-025-03216-9
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- Publication type:
- Article
Works matching DE "RIDGE regression (Statistics)"
Results: 377
1
2
Quantitative Structure–Activity Relationship Modeling Based on Improving Kernel Ridge Regression.
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- Journal of Chemometrics, 2025, v. 39, n. 5, p. 1, doi. 10.1002/cem.70027
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- Publication type:
- Article
3
RIDGE REGRESSION UNDER ALTERNATIVE LOSS CRITERIA.
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- Review of Economics & Statistics, 1982, v. 64, n. 3, p. 488, doi. 10.2307/1925948
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- Article
4
A SURVEY OF RIDGE REGRESSION AND RELATED TECHNIQUES FOR IMPROVEMENTS OVER ORDINARY LEAST SQUARES.
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- Review of Economics & Statistics, 1978, v. 60, n. 1, p. 121, doi. 10.2307/1924340
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- Publication type:
- Article
5
Algorithmic models of seed yield and its components in smooth bromegrass ( Bromus inermis L.) via large sample size under field conditions.
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- Euphytica, 2012, v. 185, n. 3, p. 363, doi. 10.1007/s10681-011-0541-8
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- Article
6
Nutrients and environment influence arbuscular mycorrhizal colonization both independently and interactively in <italic>Schizachyrium scoparium</italic>.
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- Plant & Soil, 2018, v. 425, n. 1/2, p. 493, doi. 10.1007/s11104-018-3597-6
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- Publication type:
- Article
7
Estimation of genetic effects in the presence of multicollinearity in multibreed beef cattle evaluation.
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- Journal of Animal Science, 2005, v. 83, n. 8, p. 1788, doi. 10.2527/2005.8381788x
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- Publication type:
- Article
8
Preconditioning for classical relationships: a note relating ridge regression and OLS p-values to preconditioned sparse penalized regression.
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- Stat, 2015, v. 4, n. 1, p. 157, doi. 10.1002/sta4.86
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- Publication type:
- Article
9
Evaluation of non-traditional modelling techniques for forecasting salmon returns.
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- Fisheries Management & Ecology, 2015, v. 22, n. 4, p. 269, doi. 10.1111/fme.12122
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- Publication type:
- Article
10
Alternative regression methods are not considered in Murtaugh (2009) or by ecologists in general.
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- Ecology Letters, 2010, v. 13, n. 5, p. E7, doi. 10.1111/j.1461-0248.2010.01460.x
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- Article
11
lmridge: A Comprehensive R Package for Ridge Regression.
- Published in:
- R Journal, 2018, v. 10, n. 2, p. 326
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- Article
12
Coal Production Estimation Using Regression Algorithms.
- Published in:
- Journal of Algebraic Statistics, 2022, v. 13, n. 3, p. 5123
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- Article
13
Ridge Regression in Real Estate Analysis.
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- Appraisal Journal, 1988, v. 56, n. 3, p. 311
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- Article
14
Ridge Regression: A Word of Caution.
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- Appraisal Journal, 1986, v. 54, n. 2, p. 294
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- Publication type:
- Article
15
The Application of Ridge Regression to Real Estate Appraisal.
- Published in:
- Appraisal Journal, 1982, v. 50, n. 1, p. 116
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- Publication type:
- Article
16
Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method.
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- Indian Journal of Animal Research, 2018, v. 52, n. 3, p. 347, doi. 10.18805/ijar.v0iOF.9147
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- Publication type:
- Article
17
An enhanced extreme learning machine based on ridge regression for regression.
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- Neural Computing & Applications, 2013, v. 22, n. 3/4, p. 803, doi. 10.1007/s00521-011-0771-7
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- Publication type:
- Article
18
Estimating the amount of cyan, magenta, yellow, and black inks in arbitrary colour pictures.
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- Neural Computing & Applications, 2007, v. 16, n. 2, p. 187, doi. 10.1007/s00521-006-0066-6
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- Publication type:
- Article
19
ROBUST JACKKNIFE RIDGE REGRESSION TO COMBAT MULTICOLLINEARITY AND HIGH LEVERAGE POINTS IN MULTIPLE LINEAR REGRESSIONS.
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- Economic Computation & Economic Cybernetics Studies & Research, 2015, v. 49, n. 4, p. 305
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- Article
20
An exact approach to ridge regression for big data.
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- Computational Statistics, 2017, v. 32, n. 3, p. 909, doi. 10.1007/s00180-017-0731-5
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- Article
21
An iterative approach to minimize the mean squared error in ridge regression.
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- Computational Statistics, 2015, v. 30, n. 2, p. 625, doi. 10.1007/s00180-015-0557-y
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- Article
22
Improved ridge regression estimators for the logistic regression model.
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- Computational Statistics, 2013, v. 28, n. 6, p. 2519, doi. 10.1007/s00180-013-0417-6
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- Publication type:
- Article
23
THE RELATIONSHIP BETWEEN RIDGE REGRESSION AND THE MINIMUM MEAN SQUARE ERROR ESTIMATOR OF CHIPMAN.
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- Oxford Bulletin of Economics & Statistics, 1974, v. 36, n. 2, p. 115, doi. 10.1111/j.1468-0084.1974.mp36002004.x
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- Publication type:
- Article
24
Firework Plots for Evaluating the Impact of Outliers and Influential Observations in Ridge Regression.
- Published in:
- Quality & Reliability Engineering International, 2017, v. 33, n. 4, p. 709, doi. 10.1002/qre.2050
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- Publication type:
- Article
25
Fraction of design space plots for evaluating ridge estimators in mixture experiments.
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- Quality & Reliability Engineering International, 2011, v. 27, n. 1, p. 27, doi. 10.1002/qre.1104
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- Article
26
Development of a Rapid Prototyping System using Response Surface Methodology.
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- Quality & Reliability Engineering International, 2006, v. 22, n. 8, p. 919, doi. 10.1002/qre.779
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- Publication type:
- Article
27
The horseshoe estimator for sparse signals.
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- Biometrika, 2010, v. 97, n. 2, p. 465, doi. 10.1093/biomet/asq017
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- Publication type:
- Article
28
Identifiability of single-index models and additive-index models.
- Published in:
- Biometrika, 2007, v. 94, n. 2, p. 496, doi. 10.1093/biomet/asm029
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- Publication type:
- Article
29
Covariance matrix selection and estimation via penalised normal likelihood.
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- Biometrika, 2006, v. 93, n. 1, p. 85, doi. 10.1093/biomet/93.1.85
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- Article
30
Local influence in principal components analysis.
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- Biometrika, 1997, v. 84, n. 1, p. 175, doi. 10.1093/biomet/84.1.175
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- Publication type:
- Article
31
Robust kernelised correlation filter tracking with least absolute deviations regression.
- Published in:
- Electronics Letters (Wiley-Blackwell), 2018, v. 54, n. 3, p. 138, doi. 10.1049/el.2017.2147
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- Article
32
Generating random samples from Pareto Distribution to computing the methods to estimating the parameters by simulation.
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- Journal of Univesity of Thi-Qar, 2018, v. 13, n. 3, p. 90
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- Publication type:
- Article
33
The Principal Components of Growth in the Less Developed Countries.
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- Kyklos, 2008, v. 61, n. 4, p. 568, doi. 10.1111/j.1467-6435.2008.00418.x
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- Publication type:
- Article
34
A New Two-Parameter Estimator in Linear Regression.
- Published in:
- Communications in Statistics: Theory & Methods, 2010, v. 39, n. 6, p. 923, doi. 10.1080/03610920902807911
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- Publication type:
- Article
35
Confidence Interval for Shrinkage Parameters in Ridge Regression.
- Published in:
- Communications in Statistics: Theory & Methods, 2009, v. 38, n. 19, p. 3489, doi. 10.1080/03610920802585856
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- Publication type:
- Article
36
Some Asymptotic Properties of Ridge Regression in a System of Seemingly Unrelated Regression Equations.
- Published in:
- Communications in Statistics: Theory & Methods, 2008, v. 37, n. 15, p. 2433, doi. 10.1080/03610920801931853
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- Publication type:
- Article
37
Ridge Regression Estimation for Survey Samples.
- Published in:
- Communications in Statistics: Theory & Methods, 2008, v. 37, n. 4, p. 532, doi. 10.1080/03610920701669694
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- Publication type:
- Article
38
The Research on Two Kinds of Restricted Biased Estimators Based on Mean Squared Error Matrix.
- Published in:
- Communications in Statistics: Theory & Methods, 2008, v. 37, n. 1, p. 70, doi. 10.1080/03610920701648797
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- Publication type:
- Article
39
Ridge Estimation to the Restricted Linear Model.
- Published in:
- Communications in Statistics: Theory & Methods, 2007, v. 36, n. 11, p. 2099, doi. 10.1080/03610920601144095
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- Publication type:
- Article
40
An Application of the Local Influence Diagnostics to Ridge Regression Under Elliptical Model.
- Published in:
- Communications in Statistics: Theory & Methods, 2007, v. 36, n. 4, p. 767, doi. 10.1080/03610920601033892
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- Publication type:
- Article
41
Comparisons of the Unbiased Ridge Estimation to the Other Estimations.
- Published in:
- Communications in Statistics: Theory & Methods, 2007, v. 36, n. 4, p. 707, doi. 10.1080/03610920601033652
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- Publication type:
- Article
42
CONDITIONAL PREDICTIVE ABILITY OF EXCHANGE RATES IN LONG RUN REGRESSIONS.
- Published in:
- Economic Analysis Review / Revista de Análisis Económico, 2013, v. 28, n. 2, p. 3
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- Publication type:
- Article
43
Methods For Estimating R<sub>(S,K)</sub> Based On Rayleigh-Pareto Distribution.
- Published in:
- Journal of Qadisiyah Computer Science & Mathematics, 2021, v. 13, n. 1, p. 103, doi. 10.29304/jqcm.2021.13.1.754
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- Publication type:
- Article
44
Comparison of Ridge Regression and Partial Least Squares Regression for Estimating Above-Ground Biomass with Landsat Images and Terrain Data in Mu Us Sandy Land, China.
- Published in:
- Arid Land Research & Management, 2009, v. 23, n. 3, p. 248, doi. 10.1080/15324980903038701
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- Publication type:
- Article
45
Modeling Bangladesh's Gross Domestic Product Using Regression Approach.
- Published in:
- Malaysian Journal of Mathematical Sciences, 2016, v. 10, n. 2, p. 233
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- Publication type:
- Article
46
Environmental constraints in the colonization sequence of roe deer ( Capreolus capreolus Linnaeus, 1758) across the Iberian Mountains, Spain.
- Published in:
- Journal of Biogeography, 2005, v. 32, n. 9, p. 1671, doi. 10.1111/j.1365-2699.2005.01310.x
- By:
- Publication type:
- Article
47
Comparison of regression models under multicollinearity.
- Published in:
- Electronic Journal of Applied Statistical Analysis, 2018, v. 11, n. 1, p. 340, doi. 10.1285/i20705948v11n1p340
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- Publication type:
- Article
48
Biased power regression: a new biased estimation procedure in linear regression.
- Published in:
- Electronic Journal of Applied Statistical Analysis, 2017, v. 10, n. 1, p. 160, doi. 10.1285/i20705948v10n1p160
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- Publication type:
- Article
49
Post selection shrinkage estimation for high-dimensional data analysis.
- Published in:
- Applied Stochastic Models in Business & Industry, 2017, v. 33, n. 2, p. 97, doi. 10.1002/asmb.2193
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- Publication type:
- Article
50
Bankruptcy prediction by generalized additive models.
- Published in:
- Applied Stochastic Models in Business & Industry, 2007, v. 23, n. 2, p. 129, doi. 10.1002/asmb.658
- By:
- Publication type:
- Article