Güncel Gönderiler: İstatistik Bölümü
Toplam kayıt 170, listelenen: 61-80
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A Study on Estimation of Wind Speed Distribution by Using the Modified Weibull Distribution
(2016)The knowledge of the probability density function of wind speed is key information for the determination of wind energy potential of the specified region. In the literature, the Weibull distribution is a widely-used and ... -
Alpha-skew generalized t distribution [Distribución t generalizada alfa sesgada]
(Universidad Nacional de Colombia, 2015)The alpha-skew normal (ASN) distribution has been proposed recently in the literature by using standard normal distribution and a skewing approach. Although ASN distribution is able to model both skew and bimodal data, it ... -
Combining some biased estimation methods with least trimmed squares regression and its application [Combinación de algunos métodos de estimación sesgados con regression de mínimos cuadrados recortados y su aplicación]
(Universidad Nacional de Colombia, 2015)In the case of multicollinearity and outliers in regression analysis, the researchers are encouraged to deal with two problems simultaneously. Biased methods based on robust estimators are useful for estimating the regression ... -
Evaluation of robust estimation methods in estimating weibull parameters for wind energy application
(Association for Computing Machinery, 2015)Two-parameter Weibull distribution has been widely-used reference distribution in wind energy studies and thus its parameter estimation methods have been well-studied in the literature. However, the literature have generally ... -
Analysis of the modified weibull distribution for estimation of wind speed distribution
(Association for Computing Machinery, 2015)Finding suitable wind speed distribution is one of the most important tasks for the correct estimation of wind energy potential of the specified region. The Weibull distribution is the well-known and suggested distribution ... -
A simulation study on generalized pareto mixture model
(Springer Verlag, 2015)The Generalized Pareto Distribution is commonly used for extreme value problems. Especially, the values which exceed the finite threshold, is the focus in extreme value problems like in insurance sector. The Generalized ... -
Estimating variances inweighted least-squares estimation of distributional parameters
(Association for Scientific Research, 2016)Many estimation methods have been proposed for the parameters of statistical distribution. The least squares estimation method, based on a regression model or probability plot, is frequently used by practitioners since its ... -
A statistical investigation on wind energy potential of Northwest of Turkey
(Institute of Electrical and Electronics Engineers Inc., 2016)The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this region has a high importance for the region's geopolitical, economic and demographic structure. ... -
Statistical model development for military aircraft engine exhaust emissions data
(Springer International Publishing, 2017)[No abstract available] -
Design of Fuzzy u Control Charts
(2011)When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical ... -
Comparison of six different parameter estimation methods in wind power applications
(2011)In this paper, the different parameter estimation methods such as maximum likelihood method, least square method, weighted least square method, moments method, the method based on quantiles and maximum spacing method for ... -
Forecasting neural network-based fuzzy time series with different neural network models
(2011)Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ... -
An application of various nonparametric techniques by nonparametric regression splines
(2012)In this paper we made a comparison study between regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian regression spline and Bayesian penalized spline with a different number of observations. ... -
An empirical study of fuzzy approach with artificial neural network models
(2012)Time series forecasting based on fuzzy approach by using artificial neural networks is a significant topic in many scientific areas nowadays. Artificial neural network models are sufficient due to their abilities to solve ... -
The usage of influence diagram for decision making in textiles
(2012)Naturally, managers are frequently faced with decision making processes. The optimal solution of the decision making process rises to the for which in itself depends on the number of decision alternatives and state of the ... -
Analyzing family planning by logistic regression
(2013)The importance of family planning is rising for countries whose population are too young or old and where infant mortality is high. There are several factors on family planning which is having the desired number of children ... -
On developed estimation methods via unique and multiple parametrization
(2012)In the present study, two methods, based on entropy optimization principle, to estimate missing (or forecasting) values in the given time series are suggested. In the first method successively replaces the missing values ... -
Estimator based on percentiles for log-logistic distribution
(2012)In this study, we consider the estimator based on percentiles for log-logistic distribution similar to the study of [6] and we also graph breakdown plots of the estimators that are considered below to have an opinion about ... -
The empirical performances of the selection criteria for nonparametric regression using smoothing spline
(World Scientific and Engineering Academy and Society, 2006)In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed ... -
Investigation of house price in Eskisehir (Turkey) by using semiparametric additive regression model
(World Scientific and Engineering Academy and Society, 2006)In this paper, different regression models are obtained to examine relation between house price and house features in Centrum of Eskisehir Province (Turkey). The statistical analyses of this paper indicate that some of ...
