Results 91 to 100 of about 132,600 (302)
This article proposes some new estimators, namely Stein’s estimators for ridge regression and Kibria and Lukman estimator and compares their performance with some existing estimators, namely maximum likelihood estimator (MLE), ridge regression estimator,
Md Ariful Hoque, B. M. Golam Kibria
doaj +1 more source
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci +4 more
wiley +1 more source
Detecting and Assessing the Problems Caused by Multi-Collinearity: A Useof the Singular-Value Decomposition [PDF]
This paper presents a means for detecting the presence of multicollinearity and for assessing the damage that such collinearity may cause estimated coefficients in the standard linear regression model.
Virginia Klema, David A. Belsley
core
Multicollinearity test results of regression model variables.
Multicollinearity test results of regression model variables.
Xiufan Zhang (15572804) +2 more
core +1 more source
On the use of observational data in studying biodiversity-productivity relationships in forests
The biodiversity-productivity relationship is one of the focus areas in ecological research that is studied primarily through mixed species experiments.
Xiuli Chu +3 more
doaj +1 more source
Morbidity Among the Aging Population in Northern Bangladesh: An Epidemiological Study
Multimorbidity (≥ 2 chronic diseases) is common among aging populations, yet evidence from Bangladesh remains limited. A cross‐sectional survey of 540 older adults in Northern Bangladesh (June–August 2022) assessed multimorbidity using interviews and logistic regression analysis. Multimorbidity prevalence was 75.74% (95% CI: 71.9%–79.3%).
Md. Abu Sayem +3 more
wiley +1 more source
The present investigation introduces a robust soft computing model by comparing twelve least square support vector machine (LSSVM), six long short-term memory (LSTM), and thirty-six artificial neural network (ANN) models to predict the unconfined ...
Jitendra Khatti +2 more
doaj +1 more source
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley +1 more source
Multicollinearity and regression analysis [PDF]
In regression analysis it is obvious to have a correlation between the response and predictor(s), but having correlation among predictors is something undesired.
Daoud, Jamal Ibrahim
core
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source

