Sajid Ali NaqviSP17-RST-004LHR TP 5741Dr. Muhammad Noor-ul-Amin2026-04-022019https://repository.cuilahore.edu.pk/handle/123456789/3148Measurement error practically exists to a certain degree and part and parcel of measurement process for quantitative observations. Measurement error cause contamination and result in ineffectiveness of the scale sampling plan. In present study the effect of measurement error is investigated for EWMA based scale sampling plan using a linear covariate method when population standard deviation is known or unknown. The same effect is also examined in the presence of auxiliary information when measurement of quality characteristic is not feasible or accessible. Multiple measurements method is a remedy to minimize the effect of measurement error. The variance of measurement error component becomes zero for infinite number of multiple measurements. A reasonable and economical number of multiple measurements may restore the effectiveness and utilization of EWMA based scale sampling plans with or without auxiliary information when population standard deviation is known or unknown. Tables are provided for various values of model parameters for industrial useenDr. Muhammad Noor-ul-AminDepartment of StatisticsSP17StatisticsSOCIAL SCIENCES::Statistics, computer and systems scienceThesis