Results 41 to 50 of about 75,182 (196)
The Role of Financial Reporting Quality and Disclosure Quality in Increasing Commercial Credit [PDF]
بررسیهای حسابداری و حسابرسی, 2018 One way to increase business credit is to reduce the information asymmetry between buyer and seller. By increasing the financial reporting quality and disclosure quality, buyers can provide more information to their vendors on their financial position ...
Abbas Aflatooni, Marziye Nemati
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Maximun entropy Leuven estimators and multicollinearity
Statistica, 2007 A novel class of estimators, called maximum entropy Leuven (MEL) estimators, is presented and its performance is illustrated by Monte Carlo experiments. These estimators are inspired by the theory of light.
Quirino Paris
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The efficiency of OLS estimator in the linear regression model with spatially correlated errors [PDF]
, 1999 Bounds for the efficiency of ordinary least squares relative to generalized least squares estimator in the linear regression model with first order spatial error process are ...
Gotu, Butte
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Comparison Study Between Two Ways Least Squares and Adaptive Regression In Regression linear model [PDF]
المجلة العراقية للعلوم الاحصائية, 2007 In this research, we use on ( ) and ( ) two criterions to compare between the estimators of Adaptive Regression model and the estimators of Ordinary and General Least Squares, we found that, Adaptive Regression estimator is the best by comparing with ...
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Indirect Inference Estimation of Spatial Autoregressions
Econometrics, 2020 The ordinary least squares (OLS) estimator for spatial autoregressions may be consistent as pointed out by Lee (2002), provided that each spatial unit is influenced aggregately by a significant portion of the total units.
Yong Bao, Xiaotian Liu, Lihong Yang
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Robust continuum regression. [PDF]
Several applications of continuum regression (CR) to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (ordinary least squares (OLS ...
Croux, Christophe +3 more
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Journal of Applied Mathematics, 2014 Under a balanced loss function, we derive the explicit formulae of the risk of the Stein-rule (SR) estimator, the positive-part Stein-rule (PSR) estimator, the feasible minimum mean squared error (FMMSE) estimator, and the adjusted feasible minimum mean ...
Guikai Hu, Qingguo Li, Shenghua Yu
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A New Type Iterative Ridge Estimator: Applications and Performance Evaluations
Journal of Mathematics, 2022 The usage of the ridge estimators is very common in presence of multicollinearity in multiple linear regression models. The ridge estimators are used as an alternative to ordinary least squares in case of multicollinearity as they have lower mean square ...
Aydın Karakoca
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Limit Laws in Transaction-Level Asset Price Models [PDF]
, 2013 We consider pure-jump transaction-level models for asset prices in continuous time, driven by point processes. In a bivariate model that admits cointegration, we allow for time deformations to account for such effects as intraday seasonal patterns in ...
Alexander Aue +11 more
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Estimation linear non-elementary regression models using ordinary least squares
МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, 2020 При построении регрессионных моделей проблема выбора структурной спецификации является первостепенной. На сегодняшний день таких спецификаций разработано великое множество. В данной работе приводится краткое описание следующих форм связи между переменными: линейная регрессия, линейно-элементарная регрессия, линейно-мультипликативная регрессия ...
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