Research ArticleOpen accessIn the abstractOrdinal 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 accessIn the abstractHandling the Dependence of Claim Severities with Copula ModelsYulia Resti, Noriszura Ismail, Saiful Hafizah JaamanProblem statement: Several studies have been carried out on the modeling of claim severity data in actuarial literature as well as in insurance practice. Since it is well established that the claim cost distributions generally have positive support and are positively skewed, the regression models of Gamma and Lognormal have been used by practitioners for modeling claim severities. However, the … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Phone Duration Models for Greek Emotional SpeechAlexandros Lazaridis, Vasiliki Bourna, Nikos FakotakisProblem statement: In this study we cope with the task of phone duration modeling for Greek emotional speech synthesis. Approach: Various well established machine learning techniques are applied for this purpose to an emotional speech database consisting of five archetypal emotions. The constructed phone duration prediction models are built on phonetic, morphosyntactic and prosodic features that can be extracted only … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,065 accessesView PDFCite
Research ArticleOpen accessIn the abstractLinear Regression Model Selection Based on Robust Bootstrapping TechniqueHassan S. Uraibi, Habshah Midi, Bashar A. Talib, Jabar H. YousifProblem statement: Bootstrap approach had introduced new advancement in modeling and model evaluation. It was a computer intensive method that can replace theoretical formulation with extensive use of computer. The Ordinary Least Squares (OLS) method often used to estimate the parameters of the regression models in the bootstrap procedure. Unfortunately, many statistics practitioners are not aware of the fact that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Note on Model Selection in Mixture ExperimentsKadri Ulaş AkayIn mixture experiments, determination of the best model for modeling the mixture system is significant in both understanding and interpreting the system. For obtaining the best model in mixture experiments, different methods have been used. Most commonly used methods are the stepwise type methods. However, the models obtained with these methods are not always the best model depending on the … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractA VAR Model for Forecasting Land Market Value in USALei WangForecasts of the future tendency of economic variables such as GDP, inflation rate and unemployment rate, arise many interests from business and government. Also, Modeling the land market at the national level can capture rich dynamic presenting in interdependent economies. In this paper, we studied a Vector Auto-regression (VAR) of Land Market Value and five US macroeconomic variables. We employed … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Jan 2018 · 7,639 accessesView PDFCite
Research ArticleOpen accessIn the abstractECONOMETRIC MODELLING OF INDICATORS OF INNOVATION ACTIVITY LEVELNatalia Grigoryeva, Rezeda KundukchyanIn the article we attempt to identify indicators that have a significant impact on the level of innovation activity, for a deeper understanding of the essence and principles of the innovative process. This article presents the econometric analysis. The model of multiple regression was built. Econometric modeling was carried out based on statistical data on regions of Russia. The study … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 1 Sep 2014 · 6,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractPublic Funding and Affordability of Substance Abuse Treatment ServicesRoberto A. Trevino, Alan J. RichardProblem statement: Substance abuse continues to cause significant personal, social and economic costs to the US economy. In order to decrease these costs, the goal of the US public health policy has been to increase access to drug treatment services by increasing their affordability. Government policy makers try to achieve such a goal by providing direct public funding to private … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 28 Feb 2012 · 8,256 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Air Exchange Effectiveness on Thermal Comfort in an Air-Conditioned OfficeRoonak Daghigh, Kamaruzzaman SopianProblem statement: Impact of air exchange effectiveness on thermal comfort has not been investigated and, therefore, not well understood .Therefore, the influence of air exchange effectiveness on thermal comfort is investigated in this study. Approach: The main objective of this research is to investigate the thermal comfort level of an air-conditioned office room under 14 windows-door opening arrangements as a … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 6,972 accessesView PDFCite