نتایج جستجو برای: multiple linear regression models
تعداد نتایج: 2130516 فیلتر نتایج به سال:
Motivated by the newly developed max-linear competing copula factor models and max-stable nonlinear time series models, we propose a new class of regression to take advantages easy interpretable features embedded in linear models. It can be seen that relation is special case relation. We develop an EM algorithm based maximum likelihood estimation procedure. The consistency asymptotics estimator...
Field observations form the basis of many scientific studies, especially in ecological and social sciences. Despite efforts to conduct such surveys a standardized way, can be prone systematic measurement errors. The removal variability introduced by observation process, if possible, greatly increase value this data. Existing non-parametric techniques for correcting errors assume linear additive...
ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...
One of the factors affecting the statistical analysis of the data is the presence of outliers. The methods which are not affected by the outliers are called robust methods. Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers. Besides outliers, the linear dependency of regressor variables, which is called multicollinearity...
With the advent of advanced geographical informational systems (GIS) and remote sensing technologies in recent years, topographic (elevation, slope, and aspect) and vegetation attributes are routinely available from digital elevation models (DEMs) and normalized difference vegetation index (NDVI) at different spatial (watershed, regional) scales. This study explores the use of topographic and v...
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