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No description available.

Graduation date: 1977

Thesis (M.Ag.Sc.) University of Adelaide, Dept. of Agriculture,1980.

Habilitationsschrift--Universität Fridericiana Karlsruhe. / At head of title: IFO-Institut für Wirtschaftsforschung. Bibliography: p. [133]-137.

Habilitationsschrift--Universität Fridericiana Karlsruhe. / At head of title: IFO-Institut für Wirtschaftsforschung. Bibliography: p. [133]-137.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 348-353).

A series of six consecutive input-output tables has been constructed for the economy of West Malaysia for the period from 1960 to 1965. This thesis provides an evaluation of their efficiency when applied in forecasting intermediate output. A brief review of the theoretical structure of the static input-output model developed by Leontief has been presented. Particular attention has been given to the economic assumptions which are necessary to make the prediction procedure tenable. The basic assumption of constant input coefficients was not tested directly, however. Instead, the empirical usefulness of the input-output system has been evaluated in terms of the quality of predictions it yields. Each of the tables from 1960 to 1964 has been used in turn to predict intermediate sectoral outputs for succeeding years to 1965. Input-output prediction errors were calculated by reference to the observed intermediate outputs set forth in the tables. To test the significance of these errors, a comparison was made with the errors that arose when corresponding projections of intermediate output were made from a naive extrapolation model. In addition the overall effect on the input-output predictions of the length of the forecast period was analyzed and the relative performance of individual sectors was examined. Wherever possible, the efficiency of the West Malaysian tables was compared with that of input-output tables for the Netherlands economy. In general the predictive power of the West Malaysian tables was not impressive. On the average the input-output forecasts proved to be superior to the naive extrapolations only when the prediction period did not exceed two years. For individual sectoral forecasts, the input-output model yielded better predictions of intermediate output in only seven of the 15 sectors considered. In every comparison with the efficiency of the Netherlands tables, the inferiority of the West Malaysian tables was demonstrated. Attempts have been made in the thesis to trace the reasons for the poor performance. Some improvements to the tables have been suggested. / Arts, Faculty of / Vancouver School of Economics / Graduate

Thesis (Ph. D.)--University of Pennsylvania, 1995. / Includes bibliographical references (leaves 293-303).

Ranking and Selection procedures have been designed to select the best system from a number of alternatives, where the best system is defined by the given problem. The primary focus of this thesis is on experiments where the data are from simulated systems. In simulation ranking and selection procedures, four classes of comparison problems are typically encountered. We focus on two of them: Bernoulli and multinomial selection. Therefore, we wish to select the best system from a number of simulated alternatives where the best system is defined as either the one with the largest probability of success (Bernoulli selection) or the one with the greatest probability of being the best performer (multinomial selection). We focus on procedures that are sequential and use an indifference-zone formulation wherein the user specifies the smallest practical difference he wishes to detect between the best system and other contenders. We apply fully sequential procedures due to Kim and Nelson (2004) to Bernoulli data for terminating simulations, employing common random numbers. We find that significant savings in total observations can be realized for two to five systems when we wish to detect small differences between competing systems. We also study the multinomial selection problem. We offer a Monte Carlo simulation of the Bechhofer and Kulkarni (1984) MBK multinomial procedure and provide extended tables of results. In addition, we introduce a multi-factor extension of the MBK procedure. This procedure allows for multiple independent factors of interest to be tested simultaneously from one data source (e.g., one person will answer multiple independent surveys) with significant savings in total observations compared to the factors being tested in independent experiments (each survey is run with separate focus groups and results are combined after the experiment). Another multi-factor multinomial procedure is also introduced, which is an extension to the MBG procedure due to Bechhofer and Goldsman (1985, 1986). This procedure performs better that any other procedure to date for the multi-factor multinomial selection problem and should always be used whenever table values for the truncation point are available.