Works matching DE "HOMOSCEDASTICITY"
Results: 241
Martian Case Study of Multivariate Correlation and Regression with Planetary Datasets.
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- Earth, Moon & Planets, 2012, v. 108, n. 3-4, p. 253, doi. 10.1007/s11038-012-9395-x
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The Intricate Impression of Tourism, Patent, And Renewable Energy on Environmental Sustainability.
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- South Asian Journal of Social Sciences & Humanities, 2024, v. 5, n. 1, p. 1, doi. 10.48165/sajssh.2024.5101
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Liquid-Phase Microextraction and Gas Chromatographic-Mass Spectrometric Analysis of Antidepressants in Vitreous Humor: Study of Matrix Effect of Human and Bovine Vitreous and Saline Solution.
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- Journal of Analytical Toxicology, 2016, v. 40, n. 3, p. 187, doi. 10.1093/jat/bkv141
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A robust test for homoscedasticity in nonparametric regression.
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- Journal of Nonparametric Statistics, 2010, v. 22, n. 6, p. 723, doi. 10.1080/10485250903388894
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Rank tests for anova with large number of factor levels.
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- Journal of Nonparametric Statistics, 2004, v. 16, n. 3/4, p. 563, doi. 10.1080/10485250310001624774
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TESTING HOMOSCEDASTICITY IN NONPARAMETRIC REGRESSION.
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- Journal of Nonparametric Statistics, 2003, v. 15, n. 1, p. 31, doi. 10.1080/10485250306038
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A Combination Method for Averaging OLS and GLS Estimators †.
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- Econometrics (2225-1146), 2019, v. 7, n. 3, p. 38, doi. 10.3390/econometrics7030038
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Johansen’s Reduced Rank Estimator Is GMM.
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- Econometrics (2225-1146), 2018, v. 6, n. 2, p. 26, doi. 10.3390/econometrics6020026
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Combining Smartphone Inertial Sensors and Machine Learning Algorithms to Estimate Power Variables in Standing Long Jump.
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- Computers (2073-431X), 2025, v. 14, n. 2, p. 31, doi. 10.3390/computers14020031
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A resampling test for principal component analysis of genotype-by-environment interaction.
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- Acta et Commentationes Universitatis Tartuensis de Mathematica, 2015, v. 19, n. 1, p. 27, doi. 10.12697/ACUTM.2015.19.03
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Habitat specialist birds disperse farther and are more migratory than habitat generalist birds.
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- Ecology, 2018, v. 99, n. 9, p. 2058, doi. 10.1002/ecy.2428
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Drivers and demographic consequences of seasonal mass changes in an alpine ungulate.
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- Ecology, 2018, v. 99, n. 3, p. 724, doi. 10.1002/ecy.2141
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Rejoinder for “Simple Estimators for Invertible Index Models”.
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- Journal of Business & Economic Statistics, 2018, v. 36, n. 1, p. 22, doi. 10.1080/07350015.2017.1392313
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Common Drifting Volatility in Large Bayesian VARs.
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- Journal of Business & Economic Statistics, 2016, v. 34, n. 3, p. 375, doi. 10.1080/07350015.2015.1040116
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Likelihood-Based Estimation of Dynamic Panels With Predetermined Regressors.
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- Journal of Business & Economic Statistics, 2013, v. 31, n. 4, p. 451, doi. 10.1080/07350015.2013.818003
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A Comparison of Alternative Instrumental Variables Estimators of a Dynamic Linear Model.
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- Journal of Business & Economic Statistics, 1996, v. 14, n. 3, p. 281, doi. 10.2307/1392443
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Tests for Serial Dependence and Other Specification Analysis in Models of Markets in Disequilibrium.
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- Journal of Business & Economic Statistics, 1989, v. 7, n. 3, p. 343, doi. 10.2307/1391531
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HETEROSCEDASTICITY OF UNKNOWN FORM: A COMPARISON OF FIVE HETEROSCEDASTICITY-CONSISTENT COVARIANCE MATRIX (HCCM) ESTIMATORS.
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- Global Journal of Pure & Applied Sciences, 2023, v. 29, n. 1, p. 83, doi. 10.4314/gjpas.v29i1.10
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Performance analysis of nowcasting of GDP growth when allowing for conditional heteroscedasticity and non-Gaussianity.
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- Applied Economics, 2022, v. 54, n. 58, p. 6669, doi. 10.1080/00036846.2022.2075823
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An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test.
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- International Journal of Pattern Recognition & Artificial Intelligence, 2016, v. 30, n. 8, p. -1, doi. 10.1142/S0218001416500191
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A New Test of Linear Hypotheses in OLS Regression Under Heteroscedasticity of Unknown Form.
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- Journal of Educational & Behavioral Statistics, 2008, v. 33, n. 1, p. 21, doi. 10.3102/1076998607302628
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Supersized votes: ballot length, uncertainty, and choice in direct legislation elections.
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- Public Choice, 2008, v. 135, n. 3/4, p. 319, doi. 10.1007/s11127-007-9265-7
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SUBBAND VARIANCE COMPUTATION OF HOMOSCEDASTIC ADDITIVE NOISE IN DISCRETE DYADIC WAVELET TRANSFORM.
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- International Journal of Wavelets, Multiresolution & Information Processing, 2008, v. 6, n. 6, p. 895, doi. 10.1142/S0219691308002665
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Implied volatility and skewness surface.
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- Review of Derivatives Research, 2017, v. 20, n. 2, p. 167, doi. 10.1007/s11147-016-9127-x
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Importance of modelling heteroscedasticity of survey index data in fishery stock assessments.
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- ICES Journal of Marine Science / Journal du Conseil, 2015, v. 72, n. 1, p. 130, doi. 10.1093/icesjms/fsu046
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GLMM-based modelling of growth in juvenile Octopus maya siblings: does growth depend on initial size?
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- ICES Journal of Marine Science / Journal du Conseil, 2010, v. 67, n. 7, p. 1509, doi. 10.1093/icesjms/fsq038
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ALLOMETRIC SCALING OF DRY WEIGHT AND LEAF AREA FOR SPARTINA FOLIOSA IN PUNTA BANDA ESTUARY, BAJA CALIFORNIA, MEXICO.
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- Wetlands, 2007, v. 27, n. 2, p. 270, doi. 10.1672/0277-5212(2007)27[270:ASODWA]2.0.CO;2
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Generalized autoregressive conditional heteroscedasticity modelling of hydrologic time series.
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- Hydrological Processes, 2013, v. 27, n. 22, p. 3174, doi. 10.1002/hyp.9452
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Estimating the added value of critical reading competence in college students using statistical modeling.
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- Revista de Investigación Desarrollo e Innovación, 2025, v. 15, n. 1, p. 67, doi. 10.19053/uptc.20278306.v15.n1.2025.18823
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Analysis of the added value for the quantitative reasoning competency at the Luis Amigó Catholic University in 2021.
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- Revista de Investigación Desarrollo e Innovación, 2023, v. 13, n. 2, p. 329, doi. 10.19053/20278306.v13.n2.2023.16838
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Agonistic trials with mirrors do not elicit the same aggressiveness of a real trial in the matrinxã fish, Brycon amazonicus (Spix & Agassiz, 1829).
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- Journal of Applied Ichthyology, 2017, v. 33, n. 1, p. 42, doi. 10.1111/jai.13198
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ASYMMETRIC LEAST SQUARES ESTIMATION AND TESTING.
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- Econometrica, 1987, v. 55, n. 4, p. 819, doi. 10.2307/1911031
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GOVERNANÇA CORPORATIVA E A INTANGIBILIDADE: UM ESTUDO EM EMPRESAS BRASILEIRAS NÃO FINANCEIRAS DA B3.
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- Revista Ibero-Americana de Estratégia (RIAE), 2020, v. 19, n. 4, p. 58, doi. 10.5585/riae.v19i4.16591
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Adaptive Distributed Inference for Multi-source Massive Heterogeneous Data.
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- Acta Mathematica Sinica, 2024, v. 40, n. 11, p. 2751, doi. 10.1007/s10114-024-2524-4
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Analysis of covariance under variance heteroscedasticity in general factorial designs.
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- Statistics in Medicine, 2021, v. 40, n. 21, p. 4732, doi. 10.1002/sim.9092
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Modelling catchment inflows into Lake Victoria: uncertainties in rainfall–runoff modelling for the Nzoia River.
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- Hydrological Sciences Journal/Journal des Sciences Hydrologiques, 2011, v. 56, n. 7, p. 1210, doi. 10.1080/02626667.2011.610323
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GM(1,1) Model Considering the Approximate Heteroscedasticity.
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- Journal of Grey System, 2017, v. 29, n. 2, p. 53
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Guest Editors' Introduction to the Special Issue on Nonparametric Models.
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- Sociological Methods & Research, 2002, v. 30, n. 3, p. 303, doi. 10.1177/0049124102030003001
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LOG-LINEAR TECHNIQUES AND THE REGRESSION ANALYSIS OF DUMMY DEPENDENT VARIABLES.
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- Sociological Methods & Research, 1977, v. 6, n. 1, p. 103, doi. 10.1177/004912417700600105
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ASSESSMENT OF MULTICOLLINEARITY: The Haitovsky Test of the Determinant.
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- Sociological Methods & Research, 1975, v. 3, n. 3, p. 308, doi. 10.1177/004912417500300304
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A STUDY OF SOME ASPECTS OF TEMPORAL AGGREGATION PROBLEMS IN ECONOMETRIC ANALYSES.
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- Review of Economics & Statistics, 1971, v. 53, n. 4, p. 335, doi. 10.2307/1928734
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A NOTE ON 'VALIDITY AND NONLINEAR HETEROSCEDASTIC MODELS'.
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- Personnel Psychology, 1964, v. 17, n. 1, p. 59, doi. 10.1111/j.1744-6570.1964.tb00051.x
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Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies.
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- Bioinformatics, 2020, v. 36, n. 22/23, p. 5299, doi. 10.1093/bioinformatics/btaa1049
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Evaluation of Parameter Estimation Methods for Fitting Spatial Regression Models.
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- Forest Science, 2010, v. 56, n. 5, p. 505, doi. 10.1093/forestscience/56.5.505
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Fragility Curves and Probabilistic Seismic Demand Models on the Seismic Assessment of RC Frames Subjected to Structural Pounding.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 17, p. 8253, doi. 10.3390/app11178253
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Forecasting Substantial Data Revisions in the Presence of Model Uncertainty.
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- Economic Journal, 2008, v. 118, n. 530, p. 1128, doi. 10.1111/j.1468-0297.2008.02163.x
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Influence of Erroneous Data on the Results of Calculations From Acid–Base Surface Free Energy Theories. III. Solution of a Three-Equation Set in the Case of Homoscedastic Error.
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- Journal of Adhesion Science & Technology, 2009, v. 23, n. 6, p. 799, doi. 10.1163/156856108X396327
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Influence of Erroneous Data on the Results of Calculations From Acid–Base Surface Free Energy Theories. IV. Solution of an Overdetermined Set in the Case of Homoscedastic Error.
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- Journal of Adhesion Science & Technology, 2009, v. 23, n. 6, p. 815, doi. 10.1163/156856108X396336
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A transformed random effects model with applications.
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- Applied Stochastic Models in Business & Industry, 2011, v. 27, n. 3, p. 222, doi. 10.1002/asmb.822
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Robust designs for misspecified exponential regression models.
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- Applied Stochastic Models in Business & Industry, 2009, v. 25, n. 2, p. 179, doi. 10.1002/asmb.739
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