Ara
Toplam kayıt 129, listelenen: 121-129
Estimation of Censored Regression Model in the Case of Non-Normal Error
(Yildiz Technical University, 2018)
For the censored regression model, it is well-known that while classical least squares estimation yields biased and nonconsistent estimator, maximum likelihood estimator (MLE) is consistent and efficient. Tobit estimator ...
The Relationship Between Parental Defense Intensity and Nest Site Characteristics in Eurasian Magpie (Pica Pica L.) - an Assessment With the Classification Methods
(Corvinus University Budapest, 2017)
Nest defense behavior varies among species and depends on different factors. However little is known of the influence of urbanization and nest characteristics on the nest defense intensity as parental investment of the ...
Factors Associated with Depression in Patients with Schizophrenia
(Yerkure Tanitim & Yayıncılık Hizmetleri A S, 2016)
Objective: In this study, it is aimed to determine the prevalence of depression rate, socio-demographic factors related to depression and to determine the relationship between depression in schizophrenia with positive and ...
The distribution of minimizing maximum entropy: Alternative to Weibull distribution for wind speed
(2006)
In the present study, we have constructed MinMaxEnt distribution alternative to the Weibull distribution for the wind speed. MinMaxEnt distribution minimizes the special maximum entropy functional in the concrete set of ...
Using multivariate adaptive regression splines to estimate pollution in soil
(Inst Advanced Science Extension, 2017)
Heavy metal pollution is one of the main factors of the traffic pollution. The public authorities have been monitoring the concentration of heavy metal by means of sampling stations. This paper describes the response surface ...
An application of fuzzy time series to improve ISE forecasting
(2010)
The problem of fuzzy time series forecasting plays an important role in many scientific areas such as statistics and neural networks. While forecasting fuzzy time series, most of forecasting applications use the same length ...
An empirical study of fuzzy approach with artificial neural network models
(2012)
Time series forecasting based on fuzzy approach by using artificial neural networks is a significant topic in many scientific areas nowadays. Artificial neural network models are sufficient due to their abilities to solve ...
K-Medoids and Fuzzy C-Means Algorithms for Clustering Co2 Emissions of Turkey and Other Oecd Countries
(Corvinus University Budapest, 2018)
One of the most fundamental problems of societies is environmental problems that have emerged as the result of human behaviors which can be summarized as "dominating nature" and "using nature carelessly". The main causes ...
ANN forecasting models for ISE national-100 index
(Wayne State University, 2010)
Prediction of the outputs of real world systems with accuracy and high speed is crucial in financial analysis due to its effects on worldwide economics. Because the inputs of the financial systems are timevarying functions, ...