Başlık için İstatistik Bölümü Koleksiyonu listeleme
Toplam kayıt 95, listelenen: 58-77
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A New Estimation Method Based on Order Statistics in the Families of Symmetric Location-scale Distributions
(Taylor & Francis Inc, 2016)In this study, new unbiased and nonlinear estimators based on order statistics are proposed for the family of symmetric location-scale distributions and these estimators can be computed from both uncensored and symmetric ... -
New estimators based on order statistics in some families of scale distributions
(Taylor & Francis Inc, 2017)In this study some new unbiased estimators based on order statistics are proposed for the scale parameter in some family of scale distributions. These new estimators are suitable for the cases of complete (uncensored) and ... -
A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model
(Springer, 2018)This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF). There are two major superiorities of FCRMF in comparison with existing fuzzy time series model based on fuzzy ... -
A new fuzzy time series model based on robust clustering for forecasting of air pollution
(Elsevier Science Bv, 2018)In this study, a new Fuzzy Time Series (FTS) model based on the Fuzzy K-Medoid (FKM) clustering algorithm is proposed in order to forecast air pollution. FTS models generally have some advantages when compared with other ... -
A new robust ridge parameter estimator based on search method for linear regression model
(Taylor & Francis Ltd, 2020)A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. ... -
A new statistical early outbreak detection method for biosurveillance and performance comparisons
(Wiley, 2019)Biosurveillance for rapid detection of epidemics of diseases is a challenging area of endeavor in many respects. Hence, this area is in need of development of methodology and opens to novel methods of detection. In this ... -
Nonparametric regression estimates based on imputation techniques for right-censored data
(Springer Verlag, 2020)Censored data is a kind of data type where the exact value of a response variable is not completely known. Therefore, this case is a problem that should be solved in order to obtain an accurate and efficient data analysis. ... -
ON THE ADAPTIVE NADARAYA-WATSON KERNEL REGRESSION ESTIMATORS
(Hacettepe Univ, Fac Sci, 2010)Nonparametric kernel estimators are widely used in many research areas of statistics. An important nonparametric kernel estimator of a regression function is the Nadaraya-Watson kernel regression estimator which is often ... -
ON THE PERFORMANCE OF THE SEMIPARAMETRIC BINARY RESPONSE MODEL WHEN THE TRUE MODEL IS PARAMETRIC LOGISTIC
(Hacettepe Univ, Fac Sci, 2010)In this article, a simulation study is performed to reveal the deviations of the semiparametric binary response model from its parametric counterpart, based on various scenarios including different sample sizes, different ... -
Optimum shrinkage parameter selection for ridge type estimator of Tobit model
(Taylor and Francis Ltd., 2020)This paper presents different ridge type estimators based on maximum likelihood ((Formula presented.)) for parameters of a Tobit model. In this context, an algorithm is introduced to get the estimators based on (Formula ... -
Path analysis and determining the distribution of indirect effects via simulation
(Taylor & Francis Ltd, 2017)The difference between a path analysis and the other multivariate analyses is that the path analysis has the ability to compute the indirect effects apart from the direct effects. The aim of this study is to investigate ... -
Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression
(MDPI, 2022)This study aims to propose modified semiparametric estimators based on six different penalty and shrinkage strategies for the estimation of a right-censored semiparametric regression model. In this context, the methods ... -
Performance of function-based AEWMA coefficient of variation control chart with measurement errors
(TAYLOR & FRANCIS INC, 2022)A new coefficient of variation (CV) functionally adaptive exponentially weighted moving average control chart is presented by considering the influence of the measurement error (ME) and named the "FAEWMA-ME-CV" control ... -
Performance of maximum EWMA control chart in the presence of measurement error using auxiliary information
(Taylor & Francis Inc, 2020)EWMA and Max-EWMA charts are considered efficient for individual as well as joint monitoring of mean and variance shifts in the production process. However, measurement error is affecting the efficiency of these charts. ... -
Preface
(TAYLOR & FRANCIS INC, 2021)We are pleased that the Eleventh International Statistics Days Conference (ISDC) was a great success. -
Prioritizing coverage-oriented testing process - An adaptive-learning-based approach and case study
(Ieee Computer Soc, 2007)This paper proposes a graph-model-based approach to prioritizing the test process. Tests are ranked according to their preference degrees which are determined indirectly, i.e., through classifying the events. To construct ... -
Rational (Pade) approximation for estimating the components of the partially-linear regression model
(Taylor & Francis Inc., 2021)This paper proposes a new smoothing technique based on rational function approximation using truncated total least squares (P - TTLS) and compares it with the widely used smoothing spline method, which has become a very ... -
The regional prediction model of PM10 concentrations for Turkey
(Elsevier Science Inc, 2016)This study is aimed to predict a regional model for weekly PM10 concentrations measured air pollution monitoring stations in Turkey. There are seven geographical regions in Turkey and numerous monitoring stations at each ... -
Reproducing Kernel Hilbert Space Approach to Multiresponse Smoothing Spline Regression Function
(MDPI, 2022)In statistical analyses, especially those using a multiresponse regression model approach, a mathematical model that describes a functional relationship between more than one response variables and one or more predictor ... -
Revealing information and equipment redundancies in air pollution monitoring networks in Turkey
(Springer, 2016)Air pollution monitoring networks are the primary tools for measuring, managing and assessing air quality. However, these networks need considerable financial resources due to expensive devices and analyses, as well as ...
