We consider the problem of sparsity testing in high-dimensional linear regression model. The is to test whether number non-zero components (aka sparsity) parameter θ∗ less than or equal k0. pinpoint minimax separation distances for this problem, which amounts quantifying how far a k1-sparse vector has be from set k0-sparse vectors so that able reject null hypothesis with high probability. Two s...

The smooth testing approach described in [2] has been used to develop a test of the distributional assumption for generalized linear models. Application of the test to help assess Poisson and logistic regression models is discussed. Power is compared to other common tests.

aim : to determine the associated factors of reflux duration, using quantile regression model. background : reflux is one of the most prevalent gastrointestinal disorders.  statistical tools are widely used to assess the associated factors on reflux severity and frequency. patients and methods : a door to door questionnaire has been used to evaluate gastrointestinal symptoms including reflux an...

this paper estimates the determinants of inflation in iran using a linear and non- linear regression model over the period 1959-2008. in the model specification, the conventional variables (liquidity, production and exchange rate) as well as positive and negative oil revenue shocks, monetary disequilibrium, and demand gap are considered. the results show that nonlinear time series regression mo...

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...