Results 71 to 80 of about 135,156 (283)
Estimation parameters using bisquare weighted robust ridge regression BRLTS estimator in the presence of multicollinearity and outliers [PDF]
, 2015 This study presents an improvement to robust ridge regression estimator. We proposed two methods Bisquare ridge least trimmed squares (BRLTS) and Bisquare ridge least absolute value (BRLAV) based on ridge least trimmed squares RLTS and ridge least ...
Adnan, Robiah +3 more
core +1 more source
Journal of Asian Architecture and Building Engineering, 2015 This study is aimed at establishing a correlation between microscopic factors and pedestrian volume in the urban environment, focusing on microscopic factors that stimulate pedestrian volume, such ...
Gunwon Lee, Yunnam Jeong, Seiyong Kim
openaire +2 more sources
Agribusiness, EarlyView.ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley +1 more source
A Combination Method for Averaging OLS and GLS Estimators
Econometrics, 2019 To avoid the risk of misspecification between homoscedastic and heteroscedastic models, we propose a combination method based on ordinary least-squares (OLS) and generalized least-squares (GLS) model-averaging estimators.
Qingfeng Liu, Andrey L. Vasnev
doaj +1 more source
Economic Returns to Schooling for China’s Korean Minority [PDF]
This paper examines economic returns to schooling for China’s Korean minority in the urban labour market using ordinary least squares (OLS) and two-stage least squares.
Russell Smyth, vinod Mishra
core
Adaptive Estimation of Autoregressive Models with Time-Varying Variances [PDF]
Stable autoregressive models of known finite order are considered with martingale differences errors scaled by an unknown nonparametric time-varying function generating heterogeneity.
Ke-Li Xu, Peter C.B. Phillips
core +3 more sources
Comparison of three estimators in a polynomial regression with measurement errors [PDF]
, 2001 In a polynomial regression with measurement errors in the covariate, which is supposed to be normally distributed, one has (at least) three ways to estimate the unknown regression parameters: one can apply ordinary least squares (OLS) to the model ...
Kukush, Alexander +2 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal +2 more
wiley +1 more source
Bridging logistic and OLS regression [PDF]
There is broad consensus that logistic regression is superior to ordinary least squares (OLS) regression at predicting the probability of an event.
Kapsalis, Constantine
core +4 more sources