Results 21 to 30 of about 451,504 (196)
Multivariate Sea Surface Prediction in the Bohai Sea Using a Data-Driven Model
Journal of Marine Science and Engineering, 2023 Data-driven predictions of marine environmental variables are typically focused on single variables. However, in real marine environments, there are correlations among different oceanic variables.
Song Hu +6 more
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Role of Management Earnings Forecast Error in Stock Market Efficiency with Emphasis on Earnings and Operation Earnings Components [PDF]
مجله دانش حسابداری, 2020 Objective: The purpose of this research was to investigate the role of management earnings forecast errors in stock market efficiency with emphasis on operation earnings and their components in the Tehran Stock Exchange from 2009 to 2017.
Shamsi Vahedi, Saeed Ali ahmadi (Ph.D)
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B-spline estimation in varying coefficient models with correlated errors
AIMS Mathematics, 2022 The varying coefficient model assumes that the regression function depends linearly on some regressors, and that the regression coefficients are smooth functions of other predictor variables.
Yanping Liu, Juliang Yin
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Prediction in polynomial errors-in-variables models
Modern Stochastics: Theory and Applications, 2020 A multivariate errors-in-variables (EIV) model with an intercept term, and a polynomial EIV model are considered. Focus is made on a structural homoskedastic case, where vectors of covariates are i.i.d. and measurement errors are i.i.d. as well.
Alexander Kukush, Ivan Senko
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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression
مجلة بغداد للعلوم, 2022 This paper proposed a new method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates are functional and the Principal Component Analysis was utilized to de-correlate the multivariate
Shelan Saied Ismaeel +2 more
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Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model [PDF]
Ocean Science, 2012 As part of the GlobColour project, daily chlorophyll <i>a</i> observations, derived using remotely sensed ocean colour data from the MERIS, MODIS and SeaWiFS sensors, are produced.
D. A. Ford +5 more
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Sensors, 2022 Ultrasound imaging (US) is a widely used imaging tool in physiotherapy for assessing muscle morphology and quality, among other purposes, such as ensuring the patients’ safety during invasive procedures or providing visual feedback during motor control ...
Juan Antonio Valera-Calero +4 more
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Generalized background error covariance matrix model (GEN_BE v2.0) [PDF]
Geoscientific Model Development, 2015 The specification of state background error statistics is a key component of data assimilation since it affects the impact observations will have on the analysis.
G. Descombes +4 more
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Consistency of the total least squares estimator in the linear errors-in-variables regression
Modern Stochastics: Theory and Applications, 2018 This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
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Forecasting, 2021 This paper examines the suitability of Google Trends data for the modeling and forecasting of interregional migration in Russia. Monthly migration data, search volume data, and macro variables are used with a set of univariate and multivariate models to ...
Dean Fantazzini +3 more
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