Abstract Economics and social science research often require analyzing datasets of sensitive personal information at fine granularity, with models fit to small subsets the data. Unfortunately, such fine-grained analysis can easily reveal individual information. We study regression algorithms that satisfy differential privacy , a constraint which guarantees an algorithm’s output reveals little a...

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

It is very important that the results of statistical analysis are understandable. Therefore, while reporting analysis, some effect size measures should be given along with P-value. In this study, measure Eta-Squared, Epsilon Squared and Omega-Squared were compared in terms their performance (bias) simple multiple linear regression models. Results simulation runs showed estimates quite unbiased ...

introduction: estimation of cation exchange capacity (cec) with reliable soil properties can save time and cost. pedotransfer function (ptf) is a common method in estimating certain soil properties (e.g. cec) that has been wieldy used for many years. one of the common techniques that have been used to develop ptfs is multiple linear regressions. in this method, all easily obtained soil properti...