Dispersion Coefficient Prediction Using Empirical Models and ANNs
نویسندگان
چکیده
منابع مشابه
GNMM and accurate longitudinal dispersion coefficient prediction
Longitudinal dispersion coefficient is a key variable for the description of the longitudinal transport in a river. In recent years, Artificial Neural Networks (ANNs) have become popular and useful tools for environmental modellers as they are perceived to overcome some of the difficulties associated with traditional statistical approaches. In these applications, however, little attention was g...
متن کاملSpatial distribution of urban green spaces using entropy model and coefficient of dispersion
In the present era, the importance and role of green space in the life and development of cities are to the extent that it is mentioned as one of the indicators of sustainable development. In sustainable urban development, proportional distribution of green space according to the balanced distribution of the population is one of the principles of establishing geographical justice. The purpose o...
متن کاملEmpirical likelihood for single-index varying-coefficient models
In this paper, we develop statistical inference techniques for the unknown coefficient functions and singleindex parameters in single-index varying-coefficient models. We first estimate the nonparametric component via the local linear fitting, then construct an estimated empirical likelihood ratio function and hence obtain a maximum empirical likelihood estimator for the parametric component. O...
متن کاملImputed Empirical Likelihood for Varying Coefficient Models with Missing Covariates
The empirical likelihood-based inference for varying coefficient models with missing covariates is investigated. An imputed empirical likelihood ratio function for the coefficient functions is proposed, and it is shown that iis limiting distribution is standard chi-squared. Then the corresponding confidence intervals for the regression coefficients are constructed. Some simulations show that th...
متن کاملSpatial dispersion of climatic factors in North and central basin of Iran using statistical models
Understanding weather zoning and knowing homogeneous climate regions are essential for land use and regional planning. The aim of this study was to compare three different geographical climate of Iran, the Caspian coastal, mountainous and arid interior of the provinces of Mazandaran, Semnan, Tehran, Qazvin, Qom, and Markazi. In order to do this study, climatic data of 56 synoptic and climatolog...
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: Environmental Processes
سال: 2015
ISSN: 2198-7491,2198-7505
DOI: 10.1007/s40710-015-0074-6