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Methodology for investigating moderating relationships in cognitive biases within workplace decision-making. [PDF]
Front PsycholOhms B.
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The Association Between the Nursing Practice Environment and Culturally Competent Behaviors Among Surgical Nurses in Riyadh, Saudi Arabia: A Multicenter Cross-Sectional Study. [PDF]
Healthcare (Basel)Alkathiri AM, Alharbi MF.
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Heteroscedastic Exponomial Choice
Operations Research, 2018Modeling Choices with Different Variabilities
Aydin Alptekinoglu, John H. Semple
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Spatial cointegration and heteroscedasticity
Journal of Geographical Systems, 2007A two-step Lagrange Multiplier test strategy has recently been suggested as a tool to reveal spatial cointegration. The present paper generalises the test procedure by incorporating control for unobserved heteroscedasticity. Using Monte Carlo simulation, the behaviour of several relevant tests for spatial cointegration and/or heteroscedasticity is ...
Jørgen Lauridsen, Reinhold Kosfeld
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Heteroscedastic factor analysis
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lewin-Koh, S.-C., Amemiya, Y.
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A Comparison of Tests for Heteroscedasticity
The Statistician, 1996We study the relationship, the size, the power, the sensitivity to high leverage, outliers and the normal error distribution of eight likelihood ratio and score tests for heteroscedasticity. Four versions of likelihood ratio tests are investigated which include the ordinary likelihood ratio test, the conditional likelihood ratio test obtained from ...
Lyon, John D., Tsai, Chih-Ling
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Heteroscedasticity and nonnormality
Communications in Partial Differential Equations, 1989In this paper we consider the problem of comparing several means under heteroscedasticity and nonnormality. By combining Huber's M-estimators with the Brown-Forsythe test , several robust procedures were developed; these procedures were compared through computer simulation studies with-the Tan-Tabatabai procedure which was developed by combining Tiku's
W. Y. Tan, M. A. Tabatabai
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DOA Estimation in heteroscedastic noise
Signal Processing, 2019The paper considers direction of arrival (DOA) estimation from long-term observations in a very noisy environment. The concern is to derive methods obtaining reasonable DOAs at very low SNR. The noise is assumed zero-mean Gaussian and its variance varies in time and space, causing stationary data models to fit poorly over long observation times ...
Peter Gerstoft +3 more
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A Note on a Heteroscedastic Model
Journal of Econometrics, 1977Abstract In this article the author considers a regression model where the variance of the error term is a linear combination of certain independent variables and compares four different estimators of the coefficients of this linear combination, They are (1) the estimator proposed by Goldfeld and Quant and called the Modified Glejser Method, (2) the ...
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