Most estimators in probability proportional to size (PPS) with replacement (WR) sampling design are defined for positively correlated variables. The literature on estimators involving negatively correlated variates is underdeveloped. This study utilized the law of inverse proportion to derive...

Most estimators in probability proportional to size (PPS) with replacement (WR) sampling design are defined for positively correlated variables. The literature on estimators involving negatively correlated variates is underdeveloped. This study utilized the law of inverse proportion to derive...

The present paper deals with the factors that contribute to assuring the quality of the processes involved in project management. The novelty of the approach consists in the fact that the project management processes are analysed with the help of quality indicators in case of time variance. By...

Abstract Consider a product with quality characteristic X . Assume that the product is composed of n parts each with quality characteristic X i , and and let X = X 1 + . . . + X n Assume that there is a lower specification L and an upper specification U for X . Then the problem arises how to...

Abstract Recently, A. S. Krishnan, S. M. Sunoj and N. U. Nair [Some reliability properties of extropy for residual and past lifetime random variables, J. Korean Stat. Soc. 2020, 10.1007/s42952-019-00023-x] introduced past extropy for measuring uncertainty contained in past lifetime of...

Summary Stationary multiplier methods are procedures for rounding real probabilities into rational proportions, while the Sainte-Laguë divergence is a reasonable measure for the cumulative error resulting from this rounding step. Assuming the given probabilities to be uniformly distributed, we...

In this paper, we studied estimators based on an interval shrinkage with equal weights point shrinkage estimators for all individual target points ¯θ ∈ (θ0,θ1) for exponentially distributed observations in the presence of outliers drawn from a uniform distribution. Estimators...