14 results for “statistic value”

Set a search alert

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 · 7,884 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPrediction of Days After Anthesis of Developing Tomato (Solanum lycopersicum) Fruit from Blossom-End Changes in ColorTiznado-Hernández Martín Ernesto, Delia Moreno-Velázquez, Angel Javier Ojeda-Contreras, Andrés Ochoa-MezaThe development of mathematical models to predict the physiological status of a developing fruit can be a useful tool to reduce the variation in fruit response to postharvest treatments. The objective of this study was to develop a mathematical model to predict Days After Anthesis (DAA) in tomato fruit from changes in the blossom end color. Around 160 tomato flowers … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 3 · 4 Sep 2013 · 8,107 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSoil Degradation Risk Prediction Integrating RUSLE with Geo-information Techniques, the Case of Northern Shaanxi Province in ChinaMushtak T. Jabbar, Xiaoling ChenThis research integrated the Revised Universal Soil Loss Equation (RUSLE) with RS, GIS and GPS techniques to quantify soil erosion risk and the northern part of Shaanxi province in China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. The rating values served as inputs into a modified Revised … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,052 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,584 accessesView PDF Cite