multivariate linear regression (MLR)
Integration of precision farming data and spatial statistical modelling to interpret field scale maize grain yield variability in New Zealand
... were multivariate linear regression (MLR) and Cubist tree ...Cubist regression model is a technique primarily used in remote sensing studies for handling large datasets and has, in the past, ...
8
Multivariate Linear Regression of Symptoms related Tweets for Infectious Gastroenteritis Scale Estimation
... The method employs the regression of disease- related word frequencies. Results of the experi- ment, based on Japanese 47 areas from January 2017 to April 2017, suggests that the detection of small events is ...
8
Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis
... PLS-DA is used for identifying outliers, ruling out vari- ables with low variance (thus easing further studies) and mainly examining groupings of samples. [18-20]. PLS-DA is closely related to multivariate ...
9
Response of economic growth to domestic borrowing, governance and market reforms in Kenya
... A multivariate linear regression model was used to analyse the response of economic growth to domestic debt in Kenya while dummies and interaction terms were used to capture the moderati[r] ...
105
The UK clinical aptitude test and clinical course performance at Nottingham: a prospective cohort study
... Hierarchical multivariate linear regression was used to determine independent predic- tors of performance at each stage of the clinical course, by entering variables in three ...
9
MLRA on Doctors’ Quality of Life in 3 A Class Comprehensive Hospitals
... by Multivariate Linear Regression Analysis (MLRA), and meanwhile, some specific measures and suggestions are put forward to improve the quality of life of ...
5
Analysing various Regression Models for Data Processing
... modeling, regression analysis is one. Regression Analysis (RA) is utilized for prediction and determination, where its utilization has generous cover with the field of Artificial ...various ...
6
A Cluster Elastic Net for Multivariate Regression
... the multivariate linear regression model and provide theoretical results, including consistency of our estimator, to better understand the basic properties of the penalized likelihood ...the ...
39
The Fundamental Determinants of Economic Performance
... multiple regression analyses and additionally includes an external war dummy, Western Europe dummy, Sub-Saharan Africa dummy and “other” geographic region dummy as ...a multivariate linear ...
79
Influence of soil properties on crop yield: a multivariate statistical approach
... stepwise multivariate linear regression ana- lysis (SMLR), several authors have found that pedological indicators have a significant relationship with crop yield (Andrews and Carrol, 2001; Brubaker ...
8
Market competition and price of disease management programmes: an observational study
... DMPs, linear regression analyses were ...and multivariate linear regression analyses were ...the multivariate linear regression analyses all independent variables ...
7
Intergenerational Cohort Study of Preterm and Small-for-Gestational-Age Birth in Twins and Singletons
... a multivariate linear regression analysis, indicating that singleton mothers born SGA were associated with a lower birth weight compared with mothers not born ...
10
BANK CREDIT AND AGRICULTURAL SECTOR GROWTH IN NIGERIA, 1990-2016: INVESTIGATING THE NEXUS
... 2012). Multivariate linear regression model is used to test the null hypotheses proposed for the study: There is no long-run equilibrium relationship between bank credit and agricultural sector ...
12
Building models for agricultural land fire prediction using remote sensed environmental data: a case study in Dien Bien Province, Vietnam (2003 (2016)
... novel multivariate linear regression model developed in this study can be utilized to develop a fire danger rating system that is specific to agricultural lands and, in so doing, provide agricultural ...
14
Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region)
... study, multivariate linear regression and neural network model (feed-forward back- propagation network) were employed to develop a pedotransfer function for predicting soil cation exchange capacity ...
8
Does psychopathology at admission predict the length of inpatient stay in psychiatry? Implications for financing psychiatric services
... 0.100. Multivariate analyses on psychopathology were conducted by means of two statistical approaches: First, we used multiple linear regression analysis to investigate the amount of variation in LOS ...
10
EXAMINATION OF MULTIVARIATE MULTIPLE LINEAR REGRESSION ANALYSIS
... by multivariate multiple linear regression analysis can also determine the effect of which independent variable on dependent ...variable. Multivariate multiple linear regression ...
8
Productive Efficiency And Optimal Firm Size: The Case Of US Health Services Industry
... To obtain an insight into the link between firm size and productive efficiency, we use different proxies for firm size. These proxies are: total asset and market capitalization. 5 We then sort firms into three groups ...
12
Multivariate analysis of correlates of children nutritional status in Harar region, Ethiopia
... reference population are considered severely wasted. It is a measure of acute under nutrition that represents the failure to receive adequate nutrition in the period immediately before the survey. Wasting may result from ...
10
Prediction distribution for linear regression model with multivariate Student-t errors under the Bayesian approach
... (4) Inference about unknown parameters β and σ 2 from the above linear model has been considered in other studies (Zellner, 1976; Fraser and Ng, 1980). In this case, the study is concerned to derive the ...
5