Başlık için İstatistik Bölümü Makale Koleksiyonu listeleme
Toplam kayıt 85, listelenen: 1-20
-
A Bayesian Analysis For Identifying Dna Copy Number Variations Using A Compound Poisson Process
(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
(Hindawi Publishing Corporation, 2005) -
A Data Science Study For Determining Food Quality: An Application To Wine
(2019)In this paper, wine quality is investigated based on physicochemical ingredients which include fixed acidity, volatile acidity, citric acid, residual sugar, chloride, free sulfur dioxide, total sulfur dioxide, density, pH, ... -
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 non-sensitive 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 ... -
A New Uniform Distribution With Bathtub-Shaped Failure Rate With Simulation And Application
(2019)Bathtub failure rate shape is widely used in industrial and medical applications. In this paper, a three-parameter lifetime distribution, so-called the generalized Weibull uniform distribution that extends the Weibull ... -
A Regression Type Estimator For Mean Estimation Under Ranked Set Sampling Alongside The Sensitivity Issue
(2019)Koyuncu and Kadilar [7] introduced a family of estimators under simple random sampling. In this article; we adapt these estimators for ranked set sampling. Further, we suggest a regression-type estimator of population mean ... -
A84 Updated Systematic Review With Network Metaanalysis On Comparative Efficacy And Tolerability Of Different Intravenous Iron Products For The Treatment Of Iron Deficiency Anemia In Patients With Ibd
(2019)Background In patients with inflammatory bowel disease (IBD), iron deficiency anemia (IDA) is a frequent complication. Causes include intestinal bleeding, reduced iron intake and impaired duodenal iron absorption due to ... -
Almost Unbiased Estimation Procedures Of Population Mean In Two-Occasion Successive Sampling
(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 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 ... -
ANOVA Modellerinde Kareler Toplamı Yöntemlerinin Karşılaştırılması
(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 ... -
Autocorrelation Corrected Standard Error For Two Sample T-Test Under Serial Dependence
(Hacettepe Univ, Fac Sci, 2017)The classical two-sample t-test 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, ...
