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573 results for “regression”

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Research ArticleOpen accessEvery word in the titleA Modification of the Ridge Type Regression EstimatorsMoawad El-Fallah Abd El-SalamProblem statement: Many regression estimators have been used to remedy multicollinearity problem. The ridge estimator has been the most popular one. However, the obtained estimate is biased. Approach: In this stuyd, we introduce an alternative shrinkage estimator, called modified unbiased ridge (MUR) estimator for coping with multicollinearity problem. This estimator is obtained from Unbiased Ridge Regression (URR) in the same … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 7,638 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpline Estimator in Multi-Response Nonparametric Regression Model with Unequal Correlation of ErrorsBudi Lestari, I. Nyoman Budiantara, Sony Sunaryo, Muhammad MashuriProblem statement: In many applications two or more dependent variables are observed at several values of the independent variables, such as at time points. The statistical problems are to estimate functions that model their dependences on the independent variables and to investigate relationships between these functions. Nonparametric regression model, especially smoothing splines provide powerful tools to model the functions which … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 8,168 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing Regression to Establish Weights for a Set of Composite Equations through a Numerical Analysis Approach: A Case of Admission Criteria to a CollegeRamzi Naim Nasser, Viviane NaimyProblem statement: Mathematically little is known of college admission criteria as in school grade point average, admission test scores or rank in class and weighting of the criteria into a composite equation. Approach: This study presented a method to obtain weights on “composite admission” equation. The method uses an iterative procedure to build a prediction equation for an optimal weighted … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,179 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOrdinal Logistic Regression Model: An Application to Pregnancy OutcomesK. A. Adeleke, A. A. AdepojuProblem statement: This research aimed at modeling a categorical response i.e., pregnancy outcome in terms of some predictors, determines the goodness of fit as well as validity of the assumptions and selecting an appropriate and more parsimonious model thereby proffered useful suggestions and recommendations. Approach: An ordinal logistic regression model was used as a tool to model the three major … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 14,546 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSimulation Study for Evaluating a New Three Stages Procedure for Selecting the Right Multivariate Regression ModelAli Hussein AL-MarshadiProblem statement: This article considers the analysis of multivariate regression experiment that is used frequently in variety of applications research such as psychiatric epidemiologic studies. Our study concerned with multivariate regression model in which the responses were correlated in particular ways for both standard and non-standard multivariate model structures. Our objective is to find reliable procedure that can be used … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 7,814 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,095 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Calculating the Hougaard Measure of Skewness in a Nonlinear Regression Model with Two ParametersS. A. EL-ShehawyProblem statement: This study presented an alternative computational algorithm for determining the values of the Hougaard measure of skewness as a nonlinearity measure in a Nonlinear Regression model (NLR-model) with two parameters. Approach: These values indicated a degree of a nonlinear behavior in the estimator of the parameter in a NLR-model. Results: We applied the suggested algorithm on an example … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,159 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Regression Modeling of Human Immunodeficiency Virus PatientsHadeel Salim AL-KutubiProblem statement: The main propose of this study was to evaluate the HIV patients for the period 1990-2008 depend on three variables age, gender and ethnicity. Approach: The data was analyzed using regression and correlation methods to get the mathematical model that explain the relationship and the effect between the age, gender and ethnicity. SSPS program V. 17.0 was used … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 6,413 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite