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Toplam kayıt 25, listelenen: 11-20
The Effect of Changing Scores for Multi-Way Tables with Open-Ended Ordered Categories
(Hacettepe Univ, Fac Sci, 2016)
Log-linear models are used to analyze the contingency tables. If the variables are ordinal or interval, because the score values affect both the model significance and parameter estimates, selection of score values has ...
Odd Burr Lindley Distribution With Properties And Applications
(Hacettepe Univ, Fac Sci, 2017)
In this study, we introduce a new model called the Odd Burr Lindley distribution which extends the Lindley distribution and has increasing, bathtub and upside down shapes for the hazard rate function. It includes the odd ...
On The Use Of Imputation Methods For Missing Data In Estimation Of Population Mean Under Two-Phase Sampling Design
(Hacettepe Univ, Fac Sci, 2018)
Non-response is an unavoidable feature in sample surveys and it needs to be carefully handled to avoid the biased estimates of population characteristics/parameters. Imputation is one of the latest fascinating methods which ...
Robust Model Selection Criteria For Robust S And Lts Estimators
(Hacettepe Univ, Fac Sci, 2016)
Outliers and multi-collinearity often have large influence in the model/variable selection process in linear regression analysis. To investigate this combined problem of multi-collinearity and outliers, we studied and ...
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 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. ...
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 ...
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, ...
Hartley-Ross Type Unbiased Estimators Using The Stratified Random Sampling
(Hacettepe Univ, Fac Sci, 2017)
This study mentions Hartley-Ross type unbiased ratio estimators of the finite population mean in the stratified random sampling using the auxiliary variable. We propose the unbiased estimators using the estimators in Kadilar ...