Comparing Bhattacharyya and Kshirsagar bounds with bootstrap method

A bootstrap method for comparing correlated kappa 1 coefficients

Cohen’s kappa coefficient is traditionally used to quantify the degree of agreement between two raters 7 on a nominal scale. Correlated kappas occur in many settings (e.g. repeated agreement by raters on 8 the same individuals, concordance between diagnostic tests and a gold standard) and often need to 9 be compared. While different techniques are now available to model correlated κ coefficient...

The Gallager and Bhattacharyya Bounds, Orthogonal Signal and Random Coding Bounds

Theoretical Comparison of Bootstrap t Confidence Bounds

A Bootstrap Test for Comparing Performance

Experimental trials of programs are sometimes aborted when resource bounds are exceeded. The data from these trials are called censored data. This paper discusses the inferences that can be drawn from samples that include censored data. A key component of statistical inference, the sampling distribution, is generally not known for censored samples. However, the bootstrap procedure has been appl...

Split Sample Bootstrap Method

The bootstrap technology introduced by [1] has wide applications, particularly, in regression analysis. It has been used by researchers to construct empirical distributions for estimates of the regression coefficients. In case of outliers in the data, the classical bootstrap procedure fails to give us fine results even if robust regression estimates are used. In this paper we introduced a new b...