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A Comparative Study on Optimization Methods For The Constrained Nonlinear Programming Problems
(Hindawi Publishing Corporation, 2005) 
A New Class of Unbiased Linear Estimators in Systematic Sampling
(Hacettepe Univ, Fac Sci, 2017)Use of auxiliary variables is very common in estimating various population parameters. In this study, we suggest a class of unbiased linear estimators for estimating the population mean of the study variate y using information ... 
A New Generalized Weighted Weibull Distribution
(2019)In this article, we present a new generalization of weighted Weibull distribution using Topp Leone family of distributions. We have studied some statistical properties of the proposed distribution including quantile function, ... 
A New Improved Estimator of Population Mean in Partial Additive Randomized Response Models
(Hacettepe Univ, Fac Sci, 2017)In this study, we have developed a new improved estimator for the population mean estimation of the sensitive study variable in Partial Additive Randomized Response Models (RRMs) using two nonsensitive auxiliary variables. ... 
A New Multilayer Feedforward Network Based on Trimmed Mean Neuron Model
(Acad Sciences Czech Republic, Inst Computer Science, 2015)The multilayer perceptron model has been suggested as an alternative to conventional approaches, and can accurately forecast time series. Additionally, several novel artificial neural network models have been proposed as ... 
A New Proposed Model of Restricted Data Envelopment Analysis By Correlation Coefficients
(Elsevier Science Inc, 2013)The concept of efficiency in data envelopment analysis (DEA) is defined as weighted sum of outputs/weighted sum of inputs. In order to calculate the maximum efficiency score, each decision making unit (DMU)'s inputs and ... 
Almost Unbiased Estimation Procedures Of Population Mean In TwoOccasion Successive Sampling
(Hacettepe Univ, Fac Sci, 2018)The objective of this paper is to construct some unbiased estimators of the current population mean in twooccasion successive sampling. Utilizing the readily available information on an auxiliary variable on both occasions, ... 
An Arma Type Fuzzy Time Series Forecasting Method Based On Particle Swarm Optimization
(Hindawi Ltd, 2013)In the literature, fuzzy time series forecasting models generally include fuzzy lagged variables. Thus, these fuzzy time series models have only autoregressive structure. Using such fuzzy time series models can cause ... 
Autocorrelation Corrected Standard Error For Two Sample TTest Under Serial Dependence
(Hacettepe Univ, Fac Sci, 2017)The classical twosample ttest assumes that observations are independent. A violation of this assumption could lead to inaccurate results and incorrectly analyzing data leads to erroneous statistical inferences. However, ... 
Bayesian Estimation of OrderRestricted and Unrestricted Association Models
(Elsevier Inc, 2013)Association models include score parameters to multiplicatively represent the hierarchy between the levels of the considered ordinal factor. If order restrictions are placed on the scores, an estimation problem becomes a ... 
Differentially Regulated Adamts1, 8, And 18 In Gastric Adenocarcinoma
(Comenius Univ, 2017)OBJECTIVE: The aim is to investigate the expression status of ADAMTS1,8, and 18 proteases in gastric cancer (GC) and lymphatic metastasis. BACKGROUND: A disintegrin and metalloprotease with thrombospondin motifs (ADAMTS) ... 
Does N Ratio Affect Survival In D1 and D2 Lymph Node Dissection For Gastric Cancer?
(Baishideng Publ Grp Co Ltd, 2011)AIM: To identify whether there could have been changes in survival if lymph node ratio (N ratio) had been used. METHODS: We assessed 334 gastric adenocarcinoma cases retrospectively between 2001 and 2009. Two hundred and ... 
Efficiency Analysis Of Foundation Universities In Turkey
(Turkish Education Assoc, 2015)Inadequacy of ratio analysis and parametric methods when comparing educational institutions and failure to achieve success in determining the most effective institutions, decision makers have led to the use of the Data ...