A control chart is the most well-known statistical monitoring tecnique to address unfavourable process parameter (s) changes. Quality practitioners always desire a charting device that promptly identifies undesired changes in process. This study intends design sensitive homogeneously weighted moving average using two supplementary variables (hereafter, TAHWMA). The are correlated with variable ...

Statistical process monitoring (SPM) literature recommends the combination of Shewhart and exponentially weighted moving average (EWMA) schemes to improve ability standalone EWMA in detecting small large shifts. The resulting scheme is named combined (or composite) Shewhart-EWMA (CSEWMA) scheme. In this paper, a new single composite (denoted as SCSEWMA) for mean when parameters are known or unk...

Abstract. Although the global-mean sea level (GMSL) rose over twentieth century with a positive contribution from thermosteric and barystatic (ice sheets glaciers) sources, driving processes of GMSL changes during pre-industrial Common Era (PCE; 1–1850 CE) are largely unknown. Here, contributions glacier ice sheet mass variations ocean thermal expansion to in (1–2000 estimated based on simulati...

We consider the asymmetric random average process (ARAP) with continuous mass variables and parallel discrete time dynamics studied recently by Krug/Garcia and Rajesh/Majumdar [both Jrl. Stat. Phys. 99 (2000)]. The model is defined by an arbitrary state-independent fraction density function φ(r) with support on the unit interval. We examine the exactness of mean-field steady-state mass distribu...