Many data sets used by economists and other social scientists are collected by stratified sampling. The sampling scheme used to collect the data induces a probability distribution on the observed sample that differs from the target or underlying distribution for which inference is to be made. If this effect is not taken into account, subsequent statistical inference can be seriously biased. Thi...

AN OPTIMIZATION OF ON-LINE MONITORING OF SIMPLELINEAR AND POLYNOMIAL QUALITY FUNCTIONSbyGALAL M. ABDELLADecember 2011Advisor: Dr. Kai YangMajor: Industrial EngineeringDegree: Doctor of PhilosophyThis research aims to introduce a number of contributions for enhancingthe statistical performance of some of Phase II linear and polynomial profilemonitoring tec...

Usually, in monitoring schemes the nominal value of the process parameter is assumed known. However, this assumption is violated owing to costly sampling and lack of data particularly in healthcare systems. On the other hand, applying a fixed control limit for the risk-adjusted Bernoulli chart causes to a variable in-control average run length performance for patient populations with dissimilar...

We consider inference about the history of a sample of DNA sequences, conditional upon the haplotype counts and the number of segregating sites observed at the present time. After deriving some theoretical results in the coalescent setting, we implement rejection sampling and importance sampling schemes to perform the inference. The importance sampling scheme addresses an extension of the Ewens...

When a MIL..STD-lOSD sampling scheme is used for a long period, some lots will be subjected to normal, some to reduced, and some to tightened inspection. This paper provides for several single sampling plans and various quality levels,tthe expected fraction oflots rejected,the expected sample size per lot, and the expected number oflots to be processed before sampling inspection must be discont...

Reducing acquisition time is of fundamental importance in various imaging modalities. The concept of variable density sampling provides a nice framework to address this issue. It was justified recently from a theoretical point of view in the compressed sensing (CS) literature. Unfortunately, the sampling schemes suggested by current CS theories may not be relevant since they do not take the acq...

Precision agriculture technologies have potential for improving soil fertility evaluation and nutrient management. Global positioning systems (GPS), yield monitors, various forms of remote sensing, geographical information system (GIS) software, and variable rate technology are available to producers. Intensive soil sampling, crop scouting, and other practices complete the new technological pac...

SALT (Selection At List Time) is a variable probability sampling scheme that provides unbiased estimates of suspended sediment yield and its variance. SALT performs better than standard schemes which are estimate variance. Sampling probabilities are based on a sediment rating function which promotes greater sampling intensity during periods of high sediment yield. When preparing to monitor usin...