The purpose of this thesis is to study a restricted multivariate AFRMA model, called the Homogeneous Model. This model is defined as one in which each univariate component of the multivariate model is of the same order in p and q as it is in the multivariate model. From a mathematical respect, multivariate ARMA model is homogeneous if , and only if, its coefficient matrices are diagonal. From a physical respect, the present observation of a phenomenon can be modeled only by it s own past observation and its present and past "errors." The estimation procedures are developed based on maximum likelihood method and on O'Connell' s method for univariate model. The homogeneous model is evaluated by four types of data. Those data are generated reflecting different degrees of nonhomogeneity. It is found that the homogeneous model is sensitive to departures from the homogeneous assumptions. Small departures cause no serious problem, however, large departures are serious.

Drawing on a Norwegian empirical study of girls’ and boys’ teacher-led classroom conversation participation, this paper focuses on how students attending an upper secondary school vocational programs, participate in classroom discussion when observed in homogenous groups. This quantitative study has shown that gender identities associated with heterogeneous conversational patterns as exaggerated when observing homogenous classroom participation. The discussion describes not only the influences of class and peer group pressure to explain this phenomenon, in addition clarifies the contextual difference in quality when girls take the floor in a homogenous classroom setting.

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 70-73). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 70-73). Also available on the Internet.

The rapid growth in Field Programmable Gate Array (FPGA) architecture design space has led to an explosion in architectural choices that exceed well over 1,000,000 configurations. This makes searching for pareto-optimal solutions using a CAD-based incremental design process near impossible for hardware architects and application engineers. Designers need fast and accurate analytical models in order to evaluate the impact of their design choices on performance. Despite the proliferation of FPGA models, todays state-of the art modeling tools suffer from two drawbacks. First, they rely on circuit characteristics extracted from various stages of the FPGA CAD flow making them CAD dependent. Second, they lack ability to take routing architecture parameters into account. These two factors pose as a barrier for converging to the desired implementation rapidly. In this research, we address these two challenges and propose the first static power and post-routing wirelength models in academia. Our models are unique as they are CAD-independent, and they take both logic and routing architecture parameters into account. Using the static power model we are able to estimate the active and idle leakage power dissipation in homogeneous FPGAs with average correlation factor of 95% and mean percentage error of 17% over experimental results based on MCNC benchmarks. Using our wirelength model, we are able to obtain a low mean percentage error of 4.2% and an average correlation factor of 84% using MCNC and VTR benchmarks. We also show that utilizing wirelength model for architecture optimization process reduces the design space exploration time by 53% compared to the CAD-based process. We finally propose an algorithmic approach to estimate the logic density (i.e., number of LUTs) of multiplexer-based circuits, and address the problem of discrete effects in FPGA analytical models. We show that a model that generates logic density of a fundamental circuit element, such as a multiplexer, can be used to estimate performance metrics, such as critical path delay and power.

Šio darbo tikslas ištirti atsitiktinių procesų prognozavimo matematinius metodus ir nustačius nehomogeninio Puasono proceso algoritmą jį pritaikyti konkretiems atvejams. / In the first part of this work is theory, which focuses on random processes of prediction. In the second part of a non-homogeneous Poisson process explored prediction. In order to obtain the non-homogeneous Poisson process, we have a complete and sufficient statistics in three cases, the fourth complex cases such statistics didn’t exist. Taking advantage of these results were obtained by a non-homogeneous Poisson process uniformly minimum dispersion unbiased prediction in three of the cases examined, when the corresponding parameter is known or unknown. Along submitted analytical predictions expression.

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Manganese is amongst the most abundant transition metals on earth. Playing several roles in enzymatic function, manganese is largely considered biocompatible and, in comparison to most transition metals, it is relatively inexpensive. It is surprising then, that manganese remains poorly explored in the field of pincer-based homogenous catalysis. PN3(P) pincer ligands have proved to impart different kinetic and thermodynamic properties to the complexes they are a part of when compared to analogous complexes of ligands with CH2 spacers. In part I of this work, we present unexpected results from a thorough investigation of the coordination chemistry between a PN3 phenanthroline-based ligand and several manganese salts that suggest that the coordination environment may promote a disproportionation reaction. We also present an efficient route towards dichloride substituted PN3 manganese complexes. In Part II, we investigate the reactivity of manganese(II) pincer compounds in ester reduction reactions and probe the promising results afforded by reduction through borohydride.

This study is an exploration of existing informal health care beliefs and practices of blacks in Southern Appalachia and how they compare with the majority white population. How regional black folk belief systems compare to those documented in other parts of the country is also examined. Thirty-five blacks selected opportunistically were interviewed with a structural questionnaire. Topics addressed during the interviews included: illnesses from childhood, adulthood, and old age; folk illnesses; ideas on religiosity in healing and healthcare, and views on folk medicine in light of biomedicine. The collected data suggest that black folk medicine in the study region is consistent with an homogenous American folk tradition and is not itself unique. The data collected also suggest that the extraordinary aspect to the black community studied is the lack of belief in the spirit beyond God as a healing, omnipotent force. The lack of belief in spiritism is inconsistent with other studies done on black American folk belief systems and is even inconsistent with documented 'white' studies done in Southern Appalachia and the South.

Controlled Auto-Ignition (CAI) also known as Homogeneous Charge Compression Ignition (HCCI) is increasingly seen as a very effective way of lowering both fuel consumption and emissions. Hence, it is regarded as one of the best ways to meet stringent future emissions legislation. It has however, still many problems to overcome, such as limited operating range. This combustion concept was achieved in a production type, 4-cylinder gasoline engine, in two separated tests: naturally aspirated and turbocharged. Very few modifications to the original engine were needed. These consisted basically of a new set of camshafts for the naturally aspirated test and new camshafts plus turbocharger for the boosted test. The first part of investigation shows that naturally aspirated CAI could be readily achieved from 1000 to 3500rpm. The load range, however, decreased noticeably with engine speed due to flow restrictions imposed by the low lift camshafts. Ultra-low levels of NOx emissions and reduced fuel consumption were observed. After baseline experiments with naturally aspirated operation, the capability of turbocharging for extended CAI operation was investigated. The results show that the CAI range could achieve higher load and speed with the addition of the turbocharger. The engine showed increased fuel consumption due to excessive pumping losses. Emissions, however, have been reduced substantially in comparison to the original engine. NOx levels could be reduced by up to 98% when compared to a standard SI production engine.