Abstract.A summability method S is called an R-type summability method if 5 is regular and xy is strongly 5-summable to 0 whenever x is strongly 5"-summable to 0 and y is a bounded sequence. Associated with each Rtype summability method 5 are the following two methods: convergence in /¿-density and /¿-statistical convergence where fi is a measure generated by 5 . In this note we extend the notion of statistically Cauchy to //-Cauchy and show that a sequence is /¿-Cauchy if and only if it is /¿-statistically convergent. Let W{A) = Aßtt n z?N\N for A C N and Jf = f){W(A): AÇN, Xa is strongly 5-summable to 1}. Then /¿-Cauchy is equivalent to convergence in /(-density if and only if every Gg that contains 3Í in /?N\N is a neighborhood of 3? in /?N\N. As an application, we show that the bounded strong summability field of a nonnegative regular matrix admits a Cauchy criterion.In this note we explore a variety of structures related to the bounded strong summability field of an /î-type summability method. We also show, given an Rtype summability method 5, how to construct a measure p associated with S and define /¿-statistical convergence and convergence in /z-density. These methods are, respectively, stronger and weaker than strong S-summability on the bounded sequences. We then characterize the measures for which /¿-statistical convergence and convergence in /¿-density are equivalent. This characterization is given in the context of measures, ideals of bounded sequences, subsets of /?N\N, and lattices of summability methods. We also establish a Cauchy criterion for /¿-statistical convergence which, via the above characterization, yields a Cauchy criterion for the strong summability of a bounded sequence with respect to a nonnegative regular matrix summability method.In the following, we let co = the collection of all real valued sequences, tp = {x € co: x is finitely nonzero}, Co = {x eco: lim.x = 0}, c = {x G to: hmx exists}, /oo = {x £ co: sup \x"\ < oo}.