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Design of Fuzzy (u)over-tilde Control Charts
(Old City Publishing Inc, 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 ...
An Estimation Method of Membership Function for Given Fuzzy Data
(Yildiz Technical University, 2017)
In the present study for given fuzzy data an estimation method based on Max(F)Ent measure and generalized entropy optimization methods is suggested. A set of successive values of estimated membership function is defined ...
A Comparison Study of Performance Measures and Length of Intervals in Fuzzy Time Series by Neural Networks
(World Scientific Publ Co Pte LTD, 2009)
Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ...
Spatial Analysis of Unemployment Rate with Literacy Rate and Socioeconomic Development Index for cities of Turkey
(Int Business Information Management Assoc-Ibima, 2015)
The objective of the study is to investigate the spatial pattern of unemployment rate with socio economic development index (SDI) and literacy rate for 81 cities of Turkey and also the spatial correlation between these ...
Time Series Forecasting Using a Hybrid Neural Networks and Nonparametric Regression Model
(Isoss Publ, 2014)
The focus in this paper embraces the hybrid models whose components are nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the ...
Distributions of Wind Speed at Different Heights
(IEEE, 2016)
In this study, the parameters of different distributions such as the Weibull, Rayleigh, Lognormal, Gamma and Generalized Gamma, which are used for modelling wind speed, at the different heights 10 and 30 m, have been ...
Comparison of artificial neural networks and ridge regression for two different economic problems
(2005)
The least squares estimators of the regression coefficients are the best linear unbiased estimators. That is, of all possible estimators that are both linear functions of the data and unbiased for the parameters being ...
Derivation of ME estimator of a mixture of two normal distributions
(World Scientific And Engineering Acad And Soc, 2008)
In this study, we obtain the parameters of a mixture density by using the principle of maximum equality which is based on Shannon's entropy measure. Since this procedure doesn't require constructing the likelihood function ...
Robust Estimation With the Skew T(2) Distribution
(Isoss Publ, 2013)
In this paper, a skew extension of the Student's t distribution with two degrees of freedom is used to model data sets that have skewness and heavy-tails. Its parameters are estimated using two different approaches based ...
Estimation Method Based on MinMaxEnt Distribution for Missing Value in Time Series
(World Scientific Publ Co Pte LTD, 2009)
In this study, MinMaxEnt distribution out of Generalized Entropy Optimization Distributions with moment functions and moment values dependent on parameter are introduced. MaxEnt distribution for observed time series is ...