AIR TEMPERATURE ESTIMATION FOR BATMAN CITY WITH SIMPLE AND MULTI-LINEAR REGRESSION MODELS UTILIZING METEOROLOGICAL PARAMETERS
نویسندگان
چکیده
منابع مشابه
Robust Estimation in Linear Regression with Molticollinearity and Sparse Models
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...
متن کاملDerivation of regression models for pan evaporation estimation
Evaporation is an essential component of hydrological cycle. Several meteorologicalfactors play role in the amount of pan evaporation. These factors are often related to eachother. In this study, a multiple linear regression (MLR) in conjunction with PrincipalComponent Analysis (PCA) was used for modeling of pan evaporation. After thestandardization of the variables, independent components were...
متن کاملEffects of air pollution and meteorological parameters on human health in the city of Athens, Greece
The aim of this study is to quantify the impacts of air pollution and meteorological parameters on human morbidity and to test whether different model specifications and approaches yield different results. Generalised additive and linear models along with monthly time series data for CO, NO, NO2, SO2, O3, average/maximum/minimum air temperature, relative humidity and atmospheric pressure are em...
متن کاملAn On-line Method for Estimation of Piecewise Constant Parameters in Linear Regression Models
We present an on-line method for detecting changes and estimating parameters in AR(X) models. The method is based on the assumption of piecewise constant parameters resulting in a sparse structure of their derivative. To illustrate the algorithm and its performance, we apply it to the change in the model parameters of some ARX models. The example illustrates that the new method shows good perfo...
متن کاملLeast-squares estimation in linear regression models with vague concepts
The paper is a contribution to parameter estimation in fuzzy regression models with random fuzzy sets. Here models with crisp parameters and fuzzy observations of the variables are investigated. This type of regressionmodelsmay be understood as an extension of the ordinary single equation linear regression models by integrating additionally the physical vagueness of the involved items. So the s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Technic
سال: 2020
ISSN: 2536-5010
DOI: 10.36222/ejt.758602