This paper is concerned with the problem of deriving expressions for the Bayesian predictive survival functions for the median of future sample of generalized order statistics having odd and even sizes. Both of the informative and future samples are drawn from a population whose distribution is...

It is well known that the bias called market microstructure noise will arise, when estimating realized co-volatility matrix which is calculated as a sum of cross products of intraday high-frequency returns. An existing conventional technique for removing such a market microstructure noise is to...

Haack opens her paper on “future directions” in scientific testimony with a quotation from Aristotle and an observation from a hundred-year old U.S. Supreme Court ruling! Her Reason? Her argument will be that the hankering for exactness where no exactness is possible that Holmes identified...

We give complete algorithms and source code for constructing statistical risk models, including methods for fixing the number of risk factors. One such method is based on eRank (effective rank) and yields results similar to (and further validates) the method set forth in an earlier paper by one...

In this study, the joint p.f. of multivariate order statistics by marginal ordering of i.n.n.i.d. random vectors from discrete parents is examined. Furthermore, the continuous cases are derived from the discrete cases

Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and try to understand why...

We establish nonparametric identification of auction models with continuous unobserved heterogeneity using three consecutive order statistics of bids. We then propose sieve maximum likelihood estimators for estimating the unobserved heterogeneity distribution and the value distributions jointly....

Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and try to understand why...