Başlık için İstatistik Bölümü listeleme
Toplam kayıt 170, listelenen: 18-37
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Biplots of fuzzy coded data
(Elsevier Science BV, 2011)A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. ... -
Bulanık mantıkta korelasyon katsayısı; meterolojik olaylarda bir uygulama
(2007)Korelasyon iki yada daha çok sayıda değişken arasındaki ilişkiyi göstermekte ilişki miktarı ise korelasyon katsayısı ile belirlenmektedir. İki değişken arasındaki doğrusal ilişkinin derecesini belirleyen korelasyon katsayısını ... -
Bütünleşik Veri: Kayıtlı Motorlu Kara Taşıtlarına Farklı Bir Bakış
(2018)Bir bütüne ait parçalardan oluşan veriler değişik bilim alanlarında karşımıza çıkmaktadır. Yapısı gereği çok değişkenli olan bu veriler ilgi çekici özelliklere sahiptir. Bu tür veriler sabit bir toplamla sınırlandırılmasından ... -
C programming on waiting line systems
(World Scientific And Engineering Acad And Soc, 2008)In this article, the particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned ... -
Combining some biased estimation methods with least trimmed squares regression and its application [Combinación de algunos métodos de estimación sesgados con regression de mínimos cuadrados recortados y su aplicación]
(Universidad Nacional de Colombia, 2015)In the case of multicollinearity and outliers in regression analysis, the researchers are encouraged to deal with two problems simultaneously. Biased methods based on robust estimators are useful for estimating the regression ... -
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 ... -
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 ... -
Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting
(Taylor & Francis LTD, 2007)For time series forecasting, different artificial neural network (ANN) and hybrid models are recommended as alternatives to commonly used autoregressive integrated moving average (ARIMA) models. Recently, combined models ... -
Comparison of artificial neural networks and ridge regression for two different economic problems
(2005)The least squares estimators of the regression coefficients are the best linear unbiased estimators. That is, of all possible estimators that are both linear functions of the data and unbiased for the parameters being ... -
Comparison of certain value-at-risk estimation methods for the two-parameter Weibull loss distribution
(Elsevier Science BV, 2011)The Weibull distribution is one of the most important distributions that is utilized as a probability model for loss amounts in connection with actuarial and financial risk management problems. This paper considers the ... -
Comparison of confidence intervals for the Behrens-Fisher problem
(Taylor & Francis Inc, 2017)The Behrens-Fisher problem concerns the inferences for the difference between means of two independent normal populations without the assumption of equality of variances. In this article, we compare three approximate ... -
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 ... -
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 ... -
Comparison of regression models in case of non-normality and Heteroscedasticity
(Inst Advanced Science Extension, 2016)In regression analysis, in case of comparing two regression models and coefficients where the distribution of variables in question is not known, generalized p values may be used. The generalized p value is an extended ... -
Comparison of six different parameter estimation methods in wind power applications
(2011)In this paper, the different parameter estimation methods such as maximum likelihood method, least square method, weighted least square method, moments method, the method based on quantiles and maximum spacing method for ... -
Comparison of Some Estimation Methods of the two parameter Weibull Distribution for Unusual
(2016)Since the Weibull distribution has been accepted reference distribution in wind energy field, topics on its parameter estimation methods get much attention. In this context, the literature have generally focused on non-robust ... -
Comparison of spline approximation with the modified likelihoods in the presence of nuisance parameter
(2010)The likelihood functions from independent studies can be easily combined, and the combined likelihood function serves as a meaningful indication of the support the observed data give to the various parameter values. This ... -
Comparison of the results of factorial experiments, fractional factorial experiments, regression trees and MARS for fuel consumption data
(2010)In this study effects that are significant on the fuel consumption of F-4 aircrafts are analyzed by using different statistical methods and the results of those different methods are compared. The response variable of every ... -
A comparison of various tests of normality
(Taylor & Francis LTD, 2007)This article studies twelve different normality tests that are used for assessing the assumption that a sample was drawn from a normally distributed population and compares their powers. The tests in question are chi-square, ... -
A comparison study of forecasting financial fuzzy time series by artificial neural networks
(Vilnius Gediminas Technical University, 2010)Forecasting financial time series is an important area for various investors and business practices. Fuzzy time series models which have been successfully applied to handle nonlinear problems have become popular in recent ...
