Master of Science / Department of Statistics / Perla Reyes / Heterodera glycines, or the soybean cyst nematode (SCN), is a parasite that targets and damages the roots of soybean plants. It is the most yield-limiting pathogen of soybean in the U.S. and the reliable detection and accurate estimation of population densities is crucial to research and management of this pathogen. A study was performed to understand the effects of crop rotation on the prevalence of SCN. Standard sampling procedures in the plant pathology community dictate taking soil samples from potentially infected fields, processing them and counting the number of eggs in one 1 mL subsample via microscope. Suspecting the traditional procedure may lead to invalid results, false negatives in particular, the researcher created and implemented a sampling procedure based on his knowledge of sampling methods and constraints of sampling in the field. Using the data collected, we will discuss the strengths and limitations of the procedure in estimating the population density of SCN in the field. In addition, a simulation study informed by the data will be conducted to determine a sampling strategy that will yield accurate results while still considering the conditions in the field. Knowledge on how the different stages of the sampling procedure for SCN affect the accurate detection of the pathogen would extend to experimental designs and sampling methodologies for other soil dwelling organisms.

American Water Resources Association Symposium Proceedings / Reprinted from Establishment of Water Quality Monitoring Programs / Edited By: Lorne G. Everett and Kenneth D. Schmidt / June 12-14, 1978 / San Francisco, California / Traditional techniques for monitoring the mass flux of pollutants in the vadose zone involve obtaining point samples of solute, either by core sampling of solids, followed by laboratory extraction, or by installation of suction probes. An alternative sampling technique, discussed in this paper, is to sample perched ground water within the vadose zone. Large amounts of water may be pumped for sampling purposes from wells drilled into productive, perched ground -water bodies. Alternatively, cascading water from perched regions may be sampled in wells with perforations above the water table. Analytical results of samples from such wells are more representative of regional conditions than small point samples. Case studies are presented on sampling from perched ground water underlying a point source (an oxidation pond), a line source (an ephemeral stream), and a diffuse source (irrigation return flow).

This master´s thesis deals with the description of control selection methods with emphasis on sampling procedures for inspection by attributes in the theoretical part. In the practicel part, the input control system in the plant Siemens motors Frenstat is analyzed. The outcome of the thesis is the direction of the input control created in accordance with the requirements of the management of the organization and based on ISO 2859 standards.

<p>In this thesis we study several inverse sampling procedures to test for homogeneity in a multivariate hypergeometric distribution. The procedures are finite population analogues of the procedures introduced in Panchapakesan et al. (1998) for the multinomial distribution. In order to develop some exact calculations for critical values not considered in Panchapakesan et al. we introduce some terminologies for target probabilities, transfer probabilities, potential target points, right intersection, and left union. Under the null and the alternative hypotheses, we give theorems to calculate the target and transfer probabilities, we then use these results to develop exact calculations for the critical values and powers of one of the procedures. We also propose a new approximate calculation. In order to speed up some of the calculations, we propose several fast algorithms for multiple summation.</p> <p>N >= 1680000, all the results are the same as those in the multinomial distribution.</p> <p>The computing results showed that the simulations agree closely with the exact results. For small population sizes the critical values and powers of the procedures are different from the corresponding multinomial procedures, but when</p> / Master of Science (MSc)