Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 129, listelenen: 63-82
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An improved version of backpropagation algorithm with effective dynamic learning rate and momentum
(2006)An improvement of backpropagation algorithm with momentum is introduced. Local quadratic approximation of the error function is performed at every stage of the learning process and the Hessian matrix of the quadratic error ... -
The individuals control chart in case of non-normality
(2006)This article examines the effects of non-normality as measured by skewness and provides an alternative method of designing individuals control chart with non-normal distributions. A skewness correction method for constructing ... -
The individuals control charts for burr distributed and Weibull distributed data
(2006)Constructing the control limits supposes the assumption of the normality. However, there are numerous studies on the control charts when the underlying distribution is non-normal. Several authors have investigated the ... -
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 ... -
An innovative estimation method regarding Weibull parameters for wind energy applications
(Pergamon-Elsevier Science LTD, 2016)Two-parameter Weibull distribution is widely-used and accepted as the most popular distribution for the evaluation of wind energy potential. However, it is well-known that parameter estimates have significant effects on ... -
Interval estimation of the system reliability for Weibull distribution based on ranked set sampling data
(Hacettepe University, Fac Sci, 2018)Inference for the system reliability R is one of the most popular problems in the areas of engineering, statistics, biostatistics and etc. Therefore, there exist considerable numbers of studies concerning this problem. ... -
Interval Type-2 Fuzzy Analytic Network Process for Modelling a Third-party Logistics (3PL) Company
(Old City Publishing Inc, 2017)The Fuzzy Analytic Network Process (ANP) is generally used for solving multi-criteria decision making (MCDM) problems by considering the pairwise comparison between criteria/sub-criteria, and inner/outer dependencies among ... -
Interval Type-2 Fuzzy c-Control Charts: An Application in a Food Company
(Inst Mathematics & Informatics, 2017)Many papers exist on ordinary fuzzy control charts in literature in order to consider the vagueness and uncertainty in observation data. These are on both variable and attribute control charts. Several extensions of fuzzy ... -
İkili yanıt değişkenine sahip modellerin yeterliliklerine ilişkin benzetim çalışması – parametrik olmayan yöntemler
(2017)Regresyon modelleri; birçok açıklayıcı değişkenin önemini ortaya koyabilmek için tahmin, sınıflama, ve analitik veri araçlarını kullanarak, veri analizinde etkili bir rol oynamaktadır. Oldukça basit olmasına rağmen klasik ... -
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 ... -
M-estimation of log-logistic distribution parameters with outliers
(DAV College, 2014)Log-logistic distribution is widely-used in the analysis of agricultural, survival, hydrological and economics data. Therefore, its parameters have to be estimated accurately. Generally, traditional estimators such as ... -
Mean-Variance-Skewness-Entropy Measures: A Multi-Objective Approach for Portfolio Selection
(MDPI AG, 2011)In this study, we present a multi-objective approach based on a mean-variance-skewness-entropy portfolio selection model (MVSEM). In this approach, an entropy measure is added to the mean-variance-skewness model (MVSM) to ... -
Measuring the Relative Efficiencies of Statistics Departments in Turkey Using Data Envelopment Analysis
(2015)Bir eğitim sisteminin başarısındaki belirleyici faktörler: eğitim süreci içinde sunulan olanaklar ve eğitim süreci sonrası elde edilen yeterlilikler olabilmektedir. Bununla birlikte, eğitim sistemlerinin performanslarının ... -
MLR and ANN models of significant wave height on the west coast of India
(Pergamon-Elsevier Science LTD, 2012)Multiple linear regression (MLR) and artificial neural network (ANN) models are used in the present work to describe the significant wave height off Goa, located in the west Indian coast. A comparison study was carried out ... -
Modelling Extreme Rainfalls Using Generalized Additive Models for Location, Scale and Shape Parameters
(Corvinus University Budapest, 2016)This study aims to model the nonlinear relationship between the daily amount of extreme rainfall and significant predictor variables by the Generalized additive models for location, scale and shape parameters (GAMLSS). ... -
Modi?ed tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
(2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
Modified generalized p-value and confidence interval by Fisher's fiducial approach
(Hacettepe University, Fac Sci, 2017)In this study, we develop two simple generalized confidence intervals for the difference between means of two normal populations with heteroscedastic variances which is usually referred to as the Behrens-Fisher problem. ... -
Modified tests for comparison of group means under heteroskedasticity and non-normality caused by outlier(s)
(Hacettepe University, Fac Sci, 2017)There are several approximate tests proposed such as Welch's F-test (W), the Parametric Bootstrap Test (PB) and Generalized F-test (GF) for comparing several group means under heteroskedasticity. These tests are powerful ... -
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 ... -
Multiple Comparison of Age Groups in Bone Mineral Density under Heteroscedasticity
(Hindawi Publishing Corporation, 2015)Osteoporosis is a silent disease because individuals may not know that they have osteoporosis until their bones become so fragile. Bone mineral density (BMD) test helps to detect osteoporosis and determine the risk fractures. ...
