The effect of measurement errors on adaptive and non-adaptive control charts has been occasionally considered by researchers throughout the years. However, that effect on the variable sample size and sampling interval (VSSI) control charts has not so far been investigated. In this paper, we evaluate the effect of measurement errors on the VSSI control charts. After a model development, the effe...

Web Appendix A. Low-rank spatial smoothing of the broadband access variable Our measure of the Internet access availability has a few known imperfections: there are some missing data for some zip codes, and in some cases services are under-reported. To improve the quality of this variable, we implement a low-rank thin plate spline smoother (Wand 2003) to correct for measurement errors. Here, we...

Abshct This paper describes a new measurement technique, the forward gated-diode current characterized at low drain voltages to be applied in MOSFET’s for investigating hot-carrier stress-induced defects at high spatial resolution. The generatiodrecombination current in the drain-to-substrate diode as a function of gate voltage, combined with two-dimensional numerical simulation, provides a sen...

Introduction: The ability of MRI to quantify blood flow with high spatial and temporal resolution has made it a method of choice for accurate blood flow mapping in-vivo. The challenges comprise the development of techniques to accurately assess blood flow through heart valves by incorporating appropriate respiratory and cardiac motion compensation schemes as well as very fast measurement techni...

Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful, patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more diicult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial...