Now showing items 1-10 of 25
Forecasting Nonlinear Time Series With A Hybrid Methodology
(Pergamon-Elsevier Science Ltd, 2009)
In recent years, artificial neural networks (ANNs) have been used for forecasting in time series in the literature. Although it is possible to model both linear and nonlinear structures in time series by using ANNs, they ...
Time Scale In Least Square Method
(Hindawi Publishing Corporation, 2014)
Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla ...
Joint Prior Distributions for Variance Parameters in Bayesian Analysis of Normal Hierarchical Models
(Elsevier Inc, 2015)
In random effect models, error variance (stage 1 variance) and scalar random effect variance components (stage 2 variances) are a priori modeled independently. Considering the intrinsic link between the stages 1 and 2 ...
Improving Weighted Information Criterion By Using Optimization
(Elsevier Science Bv, 2010)
Although artificial neural networks (ANN) have been widely used in forecasting time series, the determination of the best model is still a problem that has been studied a lot. Various approaches available in the literature ...
Modified Estimators For The Change Point In Hazard Function
(Elsevier Science Bv, 2009)
We propose the consistent estimators for the change point in hazard function by improving the estimators in [A.P. Basu, J.K. Ghosh, S.N. Joshi, On estimating change point in a failure rate, in: S.S. Gupta,J.O. Berger (Eds.), ...
Modified Welch Test Statistic For Anova Under Weibull Distribution
(Hacettepe Univ, Fac Sci, 2016)
A modification to Welch test statistic is proposed to test the equality of population means of various groups under a Weibull distribution. The proposed test statistic is simple and corresponds to the standard Welch test ...
Improvement In Estimating The Population Mean In Simple Random Sampling
(Pergamon-Elsevier Science Ltd, 2006)
This paper proposes some estimators for the population mean using the ratio estimators presented in [C. Kadilar, H. Cingi, Ratio estimators in simple random sampling, Applied Mathematics and Computation 151 (2004) 893-902] ...
Subsymmetry and Asymmetry Models for Multiway Square Contingency Tables with Ordered Categories
(De Gruyter Open Ltd, 2016)
This paper suggests several models that describe the symmetry and asymmetry structure of each subdimension for the multiway square contingency table with ordered categories. A classical three-way categorical example is ...
Bayesian Estimation of Order-Restricted and Unrestricted Association Models
(Elsevier Inc, 2013)
Association models include score parameters to multiplicatively represent the hierarchy between the levels of the considered ordinal factor. If order restrictions are placed on the scores, an estimation problem becomes a ...
A Comparative Study on Optimization Methods For The Constrained Nonlinear Programming Problems
(Hindawi Publishing Corporation, 2005)