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Toplam kayıt 123, listelenen: 1-10
Analysis of international debt problem using artificial neural networks and statistical methods
(Springer, 2010)
It is known from the scientific researches that artificial neural networks are alternatives of statistical methods such as regression analysis and classification in recent years. Since multi-layer backpropagation neural ...
Comparison of goodness-of-fit measures in probit regression model
(Taylor & Francis Inc, 2007)
This article examines several goodness-of-fit measures in the binary probit regression model. Existing pseudo-R-2 measures are reviewed, two modified and one new pseudo-R-2 measure are proposed. For the probit regression ...
A Monte Carlo simulation study on partially adaptive estimators of linear regression models
(Routledge Journals, Taylor & Francis LTD, 2011)
This paper presents a comprehensive comparison of well-known partially adaptive estimators (PAEs) in terms of efficiency in estimating regression parameters. The aim is to identify the best estimators of regression parameters ...
Inferences on stress-strength reliability based on ranked set sampling data in case of Lindley distribution
(Taylor & Francis LTD, 2018)
In this study, we consider point and interval estimation of stress-strength reliability R = P(X < Y) based on ranked set sampling when the distribution of the stress and the strength are both Lindley. Firstly, maximum ...
A Comparison of Germany, Holland and Turkey Football Leagues with Cramér-Von Mises Test
(2016)
Football, which is assumed to be played with more than 250 million players in more than 200 countries all around the world, is a sports activity that appeals to the masses. In this respect, football, apart from the sports ...
A comparative study for the location and scale parameters of the Weibull distribution with given shape parameter
(Pergamon-Elsevier Science LTD, 2008)
Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum ...
The theoretical structure of Fuzzy Analytic Network Process (FANP) with Interval Type-2 Fuzzy Sets
(Elsevier Science BV, 2016)
The Fuzzy Analytic Network Process has solved multi-criteria decision making problems. Type-1 fuzzy sets used defining as expert's linguistic judgement because fuzzy set theory is concerned with uncertainty in human thought ...
Comparisons of the Turkish, English, German, French, Russian and Spanish languages for communications of same semantic content
(2006)
The language itself may be regarded as a code for certain conceptual entities. From this point of view, in this study comparisons of the Turkish, English, German, French, Russian and Spanish languages considered as alternate ...
A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
(2009)
This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ...
Variable selection with genetic algorithm and multivariate adaptive regression splines in the presence of multicollinearity
(Inst Advanced Science Extension, 2016)
In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, ...