Statistical inference based on k-records

In this paper, an extension of record models, well known as k-records, is considered. bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. the proposed procedure is applied to the exponential, weibull and pareto models in one parameter case. also, the two-parameter exponential distribution, when both parameters are unknown, is studied in more details. since the ordinary record values are contained in the k-records, by putting k = 1, the results for usual records can be obtained as special case.