7 results for “Ordinary Least Square (OLS)”

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Research ArticleOpen accessIn the keywordsDeterminants of Technical Efficiency on Pineapple FarmingNor Diana Mohd Idris, Chamhuri Siwar, Basri TalibThis study analyzes the pineapple production efficiency of the Integrated Agricultural Development Project (IADP) in Samarahan, Sarawak, Malaysia and also studies its determinants. In the study area, IADP plays an important role in rural development as a poverty alleviation program through agricultural development. Despite the many privileges received by the farmers, especially from the government, they are still less efficient. … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 30 Apr 2013 · 7,980 accessesView PDF Cite

Research ArticleOpen accessIn the abstractExploratory Analysis of Rainfall Occurrence in South Sulawesi Region Using Spatial Point ProcessNurtiti Sunusi, Erna Tri Herdiani, Fachrul Nawawi, GiarnoThis paper study the probability of rainfall occurrence in round year in different segment in South Sulawesi region. In this research, rainfall occurrence in round year described by one line which has divided into 12 months. Each one of those months is assumed that the probability of a rainfall follow a homogeneous Poisson distribution. To modeling the rainfall occurrence in … …Journal of Mathematics and Statistics, Vol. 11, Issue 4 · 15 Feb 2016 · 7,450 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSpatial Durbin Model to Identify Influential Factors of DiarrheaRokhana Dwi Bekti, SutiknoProblem statement: An analysis of regression modeling which influenced by the characteristics of the region is very important. That modeling is the spatial autoregressive model. One type of spatial autoregressive model is a Spatial Durbin Model (SDM), which performs a lag effect of the dependent and independent variables. This model was developed because the dependencies in the spatial relationships doesn’t … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 8,282 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Multicollinearity on Power Rates of the Ordinary Least Squares EstimatorsO.O. Alabi, Kayode Ayinde, T.O. OlatayoInferences on the parameter estimates of Ordinary Least Square (OLS) estimator in regression model when regressors exhibit multicollinearity is a problem in that large standard errors of the regression coefficients which cause low t-statistic value often result into the acceptance of the null hypothesis. This paper, therefore, makes efforts to investigate the effect of multicollinearity on the power rates of … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 7,880 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Determinants of Agricultural Production and Profitability in Akoko Land, Ondo-State, NigeriaFasoranti Olayiwola OlujenyoThe study considered the determinants of agricultural production and profitability with special reference to maize production in Akoko North East and South West Local Government Areas of Ondo-State. Data collection was through well structured questionnaire administered on 100 respondents selected through random sampling technique. The methods of analysis used were descriptive statistics, gross margin analysis and production function analysis using … …Journal of Social Sciences, Vol. 4, Issue 1 · 31 Mar 2008 · 8,806 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Comparative Study of the Performances of the OLS and some GLS Estimators when Stochastic Regressors are both Collinear and Correlated with Error TermsKayode AyindeThe Classical Linear Regression Model assumes that regressors are non – stochastic, independent and uncorrelated with the error terms. These assumptions are not always tenable especially where regressors are not often assumed fixed in repeated sampling. In this paper, with stochastic regressors, the performances of the Ordinary Least Square (OLS) and some Generalized Least Square (GLS) estimators are investigated and … …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 7,343 accessesView PDF Cite