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Functional level modeling techniques for modeling digital devices that vary in complexity from SSI to LSI are described in this thesis. The vehicle used for modeling is GSP, a general simulation program developed under Dr. J. R. Armstrong at Virginia Tech. These techniques have been used extensively for modeling various devices which include counters, RAMs, ROMs, microprocessor peripheral chips and CPUs. Processors modeled include the Intel 8080, the Zilog Z80 (single chip CPUs) and the Bendix BDX930 (MSI). / Master of Science

This dissertation presents a methodology for the statistical analysis of simulation output data. The analysis deals with the predictability of statistical inferential procedures for means and variances when the data are realizations of correlated and nonnormally distributed random variables. The purpose of the methodology is to improve the predictability of an inferential procedure with respect to the level of confidence in confidence interval analysis, or the power function in hypothesis testing. Conventional methods of statistical analysis for means lead to poor performance in their predictability if the sample observations are subject to strong autocorrelation. In addition, the predictability problem with respect to inferential procedures for variances is compounded by violation of the normality assumption. The methodology presented in this dissertation sets forth a sampling procedure to collect sequences of essentially uncorrelated observations. With these observations at hand, the statistical formulation presented leads to an estimator of the variance of the sample mean, thus yielding inferential procedures for means through the classical techniques. The formulation also leads to an estimator of the variance of the population and inferential procedures for variances are developed with an improved property of robustness. The bias in each estimator is greatly reduced due to the sampling procedure employed. Finally the research includes an algorithm for testing the lag correlation such that the sampling procedure can be actually implemented. The methods for means and variances developed in this research have been compared with corresponding conventional procedures. The comparison is based upon the predictability of the inferential procedure applied to the sample observations generated from autoregressive, simple moving average and M/M/1 queueing models. From the computational and simulation results reported in this research, the methods for means and variances suggested by this research have led to an improvement in the predictability of the analysis. / Ph. D.

Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Chemical Engineering. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND SCIENCE. / Bibliography : leaves 75-76. / M.S.

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Project Completion Report, Office of Water Resources Research Project A-047-ARIZ / Period of Investigation: July 1973 - June 1974 / The work upon which this report is based was supported by funds provided by the United States Department of the Interior, Office of Water Resources Research, as authorized under the Water Resources Research Act of 1964. / A means of referencing various entities along a given stream course is the river mile index. This gives the location relative to the coordinate geometry of the river system. This type of referencing is very useful to a number of agencies both within the State and at higher levels. Detailed map coverage of the State has not been available until recently with the production of 7-1/2 minute orthophoto maps of the entire State of Arizona. Since these maps were produced from imagery obtained during 1972-73, the State has a fairly definite point in time with which the maps were produced. The existing U. S. Geological Survey maps varied by up to 50 years in their generation. A scheme was worked out and six orthophoto maps were annotated using that method for an area around Tucson, Arizona. The problem of developing a computer software package to produce river mile indices was begun but soon shown to be too vast in scope to accomplish all that was desired. Several existing similar programs were examined. The U. S. Environmental Protection Agency (EPA) has a program AUTOMAP which is designed to do all that was sought to be done and much more. The development of a small, crude, local computer program was abandoned. Linkage to the EPA program AUTOMAP was sought and will be effected soon. The enlargement of project scope and envolvement meant that the pilot project was absorbed into a now ongoing activity to digitize the main stream channels and ancillary data. This new enlarged project, with funding from other sources, should be completed this year. The OWRR project may be thought of as the seed of the large project now being conducted. Without the seed the present status would not have been realized.

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