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Browsing by Department "İstatistik"

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Now showing items 1-20 of 138

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    • A Bayesian Analysis For Identifying Dna Copy Number Variations Using A Compound Poisson Process 

      Chen, Jie; Yiğiter, Ayten; Wang, Yu-Ping; Deng, Hong-Wen (2010)
      To study chromosomal aberrations that may lead to cancer formation or genetic diseases, the array-based Comparative Genomic Hybridization (aCGH) technique is often used for detecting DNA copy number variants (CNVs). Various ...
    • A Comparative Study on Optimization Methods For The Constrained Nonlinear Programming Problems 

      Yeniay, O (Hindawi Publishing Corporation, 2005)
    • A Group Sequential Test of Circular Data Using The Von Mises Distribution 

      Özgür Peker, K; Bacanlı, S. (2015)
    • A Hybrid Forecasting Approach Combines Sarima And Fuzzy Time Series 

      Eǧrioǧlu, E; Aladag, C.H; Yolcu, U. (2012)
    • A New Class of Unbiased Linear Estimators in Systematic Sampling 

      Kocyigit, Eda Gizem; Cingi, Hulya (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 Estimator Based on Auxiliary Information Through Quantitative Randomized Response Techniques 

      Özgül, N; Çingi, H. (2017)
    • A New Exponential Type Estimator for the Population Mean in Simple Random Sampling 

      Kadilar, G.Ö. (2016)
    • A New Improved Estimator of Population Mean in Partial Additive Randomized Response Models 

      Özgül, Nilgün; Cingi, Hulya (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 non-sensitive auxiliary variables. ...
    • A New Method for Forecasting Fuzzy Time Series with Triangular Fuzzy Number Observations 

      Eǧrioǧlu, E; Aladağ, C.H; Yolcu, U. (2012)
    • A New Multilayer Feedforward Network Based on Trimmed Mean Neuron Model 

      Yolcu, Ufuk; Bas, Eren; Egrioglu, Erol; Aladag, Cagdas Hakan (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 

      Mecit, Emine Demet; Alp, Ihsan (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 ...
    • A Study on the Chain Ratio-Type Estimator of Finite Population Variance 

      Olufadi, Y; Kadilar, C. (2014)
    • A Text Mining Application On Monthly Price Developments Reports 

      Eskici, H.B; Koçak, N.A. (2018)
    • Adaptive Weighted Information Criterion To Determine The Best Architecture 

      Aladağ, C.H; Eǧrioǧlu, E. (2012)
    • Advanced Time Series Forecasting Methods 

      Aladağ, C.H (2012)
    • Advances in Sampling Theory-Ratio Method of Estimation 

      Cıngı, Hülya; Kadılar, C. (2009)
    • Almost Unbiased Estimation Procedures Of Population Mean In Two-Occasion Successive Sampling 

      Singh, G. N.; Singh, A. K.; Kadilar, Cem (Hacettepe Univ, Fac Sci, 2018)
      The objective of this paper is to construct some unbiased estimators of the current population mean in two-occasion successive sampling. Utilizing the readily available information on an auxiliary variable on both occasions, ...
    • An Architecture Selection Method Based On Tabu Search 

      Aladag, C.H. (2012)
    • An Arma Type Fuzzy Time Series Forecasting Method Based On Particle Swarm Optimization 

      Eğrioğlu, Erol; Yolcu, Ufuk; Aladag, Cağdaş Hakan; Kocak, Cem (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 ...
    • ANOVA Modellerinde Kareler Toplamı Yöntemlerinin Karşılaştırılması 

      Ergun, Guel; Aktas, Serpil (Kafkas Univ, Veteriner Fakultesi Dergisi, 2009)
      The total sum of squares in ANOVA models is decomposed and the significances of the main term and interaction terms are tested. The four different methods called as Type I, II, III, and IV are used for calculating the sum ...
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