Bölüm "Anadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 89, listelenen: 1-20
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Accelerating backpropagation using effective parameters at each step and an experimental evaluation
(Taylor & Francis LTD, 2008)An acceleration of backpropagation algorithm with momentum (BPM) is introduced. At every stage of the learning process, local quadratic approximation of the error function is performed and the Hessian matrix of the quadratic ... -
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 ... -
Analysis of organizational commitment and work-family conflict in view of doctors and nurses
(Routledge Journals, Taylor & Francis LTD, 2012)The present study investigates the relationship between organizational commitment and work-family conflict for medical doctors and nurses. Using canonical analysis on questionnaire, this relation has been tested distinctively ... -
Analysis of some flexible families of distributions for estimation of wind speed distributions
(Elsevier Sci LTD, 2012)The wind speed distribution is the basis for the assessment of wind energy potential needed for the design of wind farms. Therefore, the proper specification of the wind speed distribution is of special importance. In this ... -
Analysis of the upper-truncated Weibull distribution for wind speed
(Pergamon-Elsevier Science LTD, 2015)Accurately modeling wind speed is critical in estimating the wind energy potential of a certain region. In order to model wind speed data smoothly, several statistical distributions have been studied. Truncated distributions ... -
Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function
(Pergamon-Elsevier Science LTD, 2008)In this study, the minimum cross entropy (MinxEnt) principle is applied for the first time to the wind energy field. This principle allows the inclusion of previous information of a wind speed distribution and covers the ... -
An Application of Fuzzy Coding in Multiple Correspondence Analysis for Transforming Data from Continuous to Categorical
(Old City Publishing Inc, 2012)In some research, it can be necessary to know the categorical data groups to which the data measured by interval and ratio scale belong. The fuzzy sets principle can be used to transform the original continuous data into ... -
Assessing the Quality of the Natural Cubic Spline Approximation
(World Scientific Publ Co Pte LTD, 2009)In large samples, central limit and saddle-point approximation theory suggest that spline functions having just two or three knots may be used to approximate the log- likelihood function for a single parameter, with the ... -
Assessment of Fuel Consumption Using Factorial Experiments, Regression Trees and MARS
(World Scientific And Engineering Acad And Soc, 2009)The purpose of this paper is to determine the effects that are significant on the fuel consumption of F-4 aircrafts by using three different statistical methods and compare the results of those different methods. The ... -
Asymmetric control limits for small samples
(Springer, 2009)When designing control charts, it is usually assumed that the measurement in the subgroups are normally distributed. The assumption of normality implies that the control limits for a chart for sample averages will be ... -
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. ... -
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 ... -
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 ... -
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 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 ... -
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 ... -
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 Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
(World Scientific Publ Co Pte LTD, 2009)Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ...