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Prior elicitation and variable selection for bayesian quantile regression [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Bayesian subset selection suffers from three important difficulties: assigning priors over model space, assigning priors to all components of the regression
Al-Hamzawi, Rahim Jabbar Thaher
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Evaluating the Significance of Inspiratory Volumes and Capacity in Chronic Obstructive Pulmonary Disease

Pakistan Journal of Medical Research
Background: Smoking-induced Chronic obstructive pulmonary disease (COPD) is a chronic lung condition causing airflow obstruction and inflammation, leading to symptoms like breathlessness and fatigue.
Maham Mazhar +6 more
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CPT-Based Shear Wave Velocity Correlation Model for Soft Soils with Graphical Assessment

Applied Sciences
Shear wave velocity is a key parameter for evaluating the mechanical properties of soils, and direct measurement is technically demanding and costly. Realizing rapid prediction by establishing correlations between other parameters and shear wave velocity
Huihao Chen +3 more
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Development of weather based rice yellow stem borer prediction model for the Cauvery command rice areas, Karnataka, India

Cogent Food & Agriculture, 2015
Relationship of weather parameters viz., maximum temperature (Tmax, °C), minimum temperature (Tmin, °C), rainfall (RF, mm), morning relative humidity (RH1, %), evening humidity (RH2, %), and sunshine hours (SSH), during seven years at Mandya (Karnataka ...
N.R. Prasannakumar, Subhash Chander, L. Vijay Kumar +2 more
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Prediction distribution of future regression and residual sum of squares matrices for multivariate simple regression model with correlated normal responses

, 2006
This paper considers multivariate simple regression model under normally distributed errors, for both realized and future responses, with unknown regression parameters and covariance matrix.
Khan, Shahjahan
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Bias Correction in Logarithmic Regression and Comparison with Weighted Regression for Nonlinear Models

, 2011
Non-linear models with heteroscedasticity are commonly used in ecological and forestry modeling, and logarithmic regression and weighted regression are usually employed to estimate the parameters. Using the single-tree biomass data of three large samples,
Wei Sheng Zeng, Shou Zheng Tang
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Evaluation of the Effects of Air Pollution on Hospitalization and Death Due to Corona Crisis in Tehran [PDF]

دانش پیشگیری و مدیریت بحران
Background and objective The COVID-19 pandemic is one of the most important global crises in recent decades. The present study aims to investigate the effect of air pollution on the hospitalization and death rates due to COVID-19 in Tehran, Iran. Method
Alireza Nazarian +3 more
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THE DETERMINATS OF THE UNEMPLOYMENT RATE EMPIRICAL EVIDENCE FROM ROMANIA [PDF]

Annals of the University of Oradea: Economic Science, 2010
Among other aspects, the 2007-2009 financial and economic crisis had an impact on the Romanian labor force, too. The aim of this article is to analyze the macroeconomic determinants of the unemployment rate in Romania, using an econometric model.
Pall Katalin +3 more
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An Alternative Estimation to Spurious Regression Model [PDF]

In sturdy econometrics specification search problems of unit roots and multicollinearity are well documented since the inception of regression analysis.
Shahidur Rahman
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A general hazard regression modelfor accelerated life testing

, 2009
In this paper, we apply a general hazard regression model for accelerated life testing.The model utilizes failure time data at accelerated conditions to estimate the reliabilitymeasures at normal operating conditions. The extended hazard regression ‐EHR‐
徐煥智; Shyur, Huan-jyh; Elsayed, E. A.; Luxhoj, James T.
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