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Dissertations / Theses on the topic 'Deming regression'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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1

Kim, Young Suk Sohn So Young. "Regression analysis of demand for U.S. military labor." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from the National Technical Information Service, 1991. http://handle.dtic.mil/100.2/ADA245760.

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Kim, Young Suk. "Regression analysis of demand for U.S. military labor." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/43743.

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Approved for public release; distribution is unlimited<br>The past year has been one of unprecedented change for the U.S. military organization. It would be of interest to analyze the impact of the changing situation on U.S. military labor demand. In this thesis, several demand models for U.S. military labor are considered to identify influential factors that predict the size of future military labor. A stepwise regression analysis is used to select some significant demand models. Data used to construct demand models in this thesis over the period of 1963-1986 while actual data (1987-1990) are

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AndrÃ, Diego de Maria. "Space and economic determinants of demand for residential water in fortaleza, cearÃ." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=7425.

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nÃo hÃ<br>This paper aims to estimate a residential water demand function for the city of Fortaleza (CearÃ), considering the potential impact of the spatial effects on water consumption. The analysis is developed from the investigation of presence of spatial autocorrelation in residential water consumption. For this, the tools of exploratory spatial data analysis (ESDA) were utilized. Subsequently, specific tests are performed to determine the sources of spatial autocorrelation, i.e., if the autocorrelation is caused by the spatial distribution of water consumption or by effects not modeled. I

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Lindner, Anabele. "Análise desagregada de dados de demanda por transportes através de modelagem geoestatística e tradicional." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18144/tde-09042015-090539/.

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O conhecimento do padrão de deslocamento populacional bem como a estimativa de demanda por transportes são de fundamental importância para a tomada de decisões relativas ao planejamento urbano e de transportes. Em geral, a obtenção destas informações é realizada por modelos tradicionais como o modelo quatro etapas. Entretanto, modelos clássicos não levam em conta a dependência espacial das variáveis . A Geoestatística, valendo-se da utilização de variáveis regionalizadas, apresenta-se como uma ferramenta auxiliar capaz de modelar informaçõe

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Moreira, Sara Patricia Ferreira. "Double Coverage and Health Care Demand: Evidence from Quantile Regression." Master's thesis, Instituto Superior de Economia e Gestão, 2009. http://hdl.handle.net/10400.5/3334.

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Mestrado em Econometria Aplicada e Previsão<br>This paper examines the impact of double health insurance coverage on the demand for health care services, focusing on the effect of special public and private protection schemes (designated as health subsystems) beyond the statutory National Health Service Data from the last Portuguese Health Survey is used to estimate the effects of double insurance on the consumption of doctor visits. The novelty of this work is that within the context of count data modelling, the analysis is made for the whole distribution, not only for the location of the con

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Tong, Fan. "Capacity demand and climate in Ekerö : Development of tool to predict capacity demand underuncertainty of climate effects." Thesis, KTH, Elektroteknisk teori och konstruktion, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152522.

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The load forecasting has become an important role in the operation of power system, and several models by using different techniques have been applied to solve these problems. In the literature, the linear regression models are considered as a traditional approach to predict power consumption, and more recently, the artificial neural network (ANN) models have received more attention for a great number of successful and practical applications. This report introduces both linear regression and ANN models to predict the power consumption for Fortum in Ekerö. The characteristics of power consumpti

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Pattiz, Brian. "Count regression models for recreation demand: an application to Clear Lake /." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1473245.

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Alsalous, Osama. "Global Demand Forecast Model." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/78331.

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Air transportation demand forecasting is a core element in aviation planning and policy decision making. NASA Langley Research Center addressed the need of a global forecast model to be integrated into the Transportation Systems Analysis Model (TSAM) to fulfil the vision of the Aeronautics Research Mission Directorate (ARMD) at NASA Headquarters to develop a picture of future demand worldwide. Future forecasts can be performed using a range of techniques depending on the data available and the scope of the forecast. Causal models are widely used as a forecasting tool by looking for relationshi

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Dheeriya, P. L. (Prakash Lachmandas). "A Comparison of Money Demand in Four Industrialized Countries Using Seemingly Unrelated Regressions." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc330950/.

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In this study, the possibility that money demand of one country might be affected by macroeconomic activities of other countries is investigated. We use the seemingly unrelated regression (SUR) technique, which takes into account all covariances between residuals of country-specific money demand equations. Efficiency of estimates using the SUR technique is enhanced because it uses information contained in the contemporaneous correlation of the error terms. The hypothesis of economic interdependence is tested. A proxy for foreign influence, deviation from interest rate parity (DIRP), is tested

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Mougeot, Sylvie R. (Sylvie Renee) Carleton University Dissertation Management Studies. "Demand for Canadian bank notes by denomination; a combined share/ regression approach." Ottawa, 1997.

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Narteh, Alexander Tetteh. "Correlation of Fluorescence Spectroscopy and Biochemical Oxygen Demand (BOD5) Using Regression Analysis." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5567.

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This research uses Regression analysis of fluorescence spectroscopy results to correlate with Biochemical Oxygen Demand (BOD5). Fluorescence spectroscopy was applied to samples taken from seven sample sites in the Provo and Orem waste water treatment plants found in Utah County. A total of 161 samples were collected for this research. 23 samples each were taken from four sites in the Provo waste water treatment plant namely Provo head works, aeration basin, primary filter settlement basin and the Provo effluent basin. The Orem head works, the clarifier and the Orem effluent basin were the thre

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PAULA, ERICK ROMARIO DE. "ELECTRICAL ENERGY CONDITIONAL DEMAND ANALYSIS USING ROBUST REGRESSION: APLICATION TO A REAL CASE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9133@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Este trabalho tem como objetivo avaliar o uso da técnica Análise Condicionada da Demanda, que é uma metodologia que quebra o consumo de energia elétrica (neste trabalho do setor residencial) em suas partes por equipamento e por uso final, via Regressão Robusta em contrapartida à utilização da regressão clássica, na estimação do consumo de energia elétrica por uso final do setor residencial. Para isto foram realizadas análises via regressão linear múltipla e também análises via regressão robusta (estimadores robustos). Serão realizada

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Romero, Alfredo A. "Statistical Adequacy and Reliability of Inference in Regression-like Models." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/27782.

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Using theoretical relations as a source of econometric specifications might lead a researcher to models that do not adequately capture the statistical regularities in the data and do not faithfully represent the phenomenon of interest. In addition, the researcher is unable to disentangle the statistical and substantive sources of error and thus incapable of using the statistical evidence to assess whether the theory, and not the statistical model, is wrong. The Probabilistic Reduction Approach puts forward a modeling strategy in which theory can confront data without compromising the credibili

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Buchheim, Viktor. "Efterfrågan på beroendeframkallande varor : En studie om hur efterfrågan på snusprodukter har reagerat på prisökningar i Sverige mellan 1999-2009." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-176880.

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Denna uppsats behandlar de relativa prisökningar som skett för snusprodukter i Sverige och vill undersöka om dessa har lett till minskad efterfrågan som nationalekonomisk teori föreslår. Utifrån teori och tidigare forskning har en efterfrågemodell konstruerats för att möjliggöra en statistik undersökning. Variablerna som ingår i modellen är inhämtade från Statistiska centralbyråns prisenhet och Swedish Match AB och inkluderar prisuppgifter för varor, försäljningsstatistik och disponibel inkomst under tidsperioden 1999-2009. Resultaten från regressionsanalyser för tidsseriedata visar på att de

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Shen, Ni. "Prediction of International Flight Operations at U.S. Airports." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35687.

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This report presents a top-down methodology to forecast annual international flight operations at sixty-six U.S. airports, whose combined operations accounted for 99.8% of the total international passenger flight operations in National Airspace System (NAS) in 2004. The forecast of international flight operations at each airport is derived from the combination of passenger flight operations at the airport to ten World Regions. The regions include: Europe, Asia, Africa, South America, Mexico, Canada, Caribbean and Central America, Middle East, Oceania and U.S. International. <p> In the forecast

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Cullen, Kathleen Ann. "Forecasting electricity demand using regression and Monte Carlo simulation under conditions of insufficient data." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=903.

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Thesis (M.S.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains x, 137 p. : ill., map Vita. Includes abstract. Includes bibliographical references (p. 99-107).

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Filipe, Luís Alexandre Coelho. "Estimating demand for primary health care services." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9543.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics<br>Primary health services exist with the purpose of providing basic health care to every person at a cost they can afford. But is it fully available to everyone? The objective of this work project is to estimate the demand for primary health care services having into account that in some regions the citizens are not using as much health care as they would like due to supply side constraints. Using the number of consultations as proxy for demand,

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Izadi, Hooshang. "Censored regression and the Pearson system of distributions : an estimation method and application to demand analysis." Thesis, University of Essex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252929.

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DOMINGUEZ, ISABELA XANCHAO. "A REGRESSION MODEL FOR FORECASTING INTERSTATE COACH PASSANGERS DEMAND IN BRAZIL: ESTIMATION, TESTING AND DIAGNOSTICS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2727@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>O objetivo desta dissertação é estimar um modelo para prever a demanda de passagens rodoviárias em ligações interestaduais no Brasil. Para perseguir este objetivo serão utilizados modelos de regressão linear múltipla e redes neurais. Os modelos de regressão foram testados em relação a sua forma funcional e investigados para a presença de observações aberrantes e influentes. Os resultados evidenciaram que as não- linearidades modeladas pela rede neural não resultam em melhor poder preditivo em relação ao modelo de regressão e,

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Bylund, Rebecca, and Höök Malin J-son. "Går det prediktera demens? : En jämförande studie mellan Logistisk regression, Elastic Net och Random Forests." Thesis, Umeå universitet, Statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149728.

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Denna studie tar avstamp i ett tidigare resultat av Boraxbekk et al. (2015) som genom data från Betula-projektet visat att vissa episodiska minnestester tillsammans med ålder ochutbildningsnivå har signifikanta samband med utvecklandet av demenssjukdomar. Syftet med denna studie är att jämföra klassificeringsmetoderna Random Forests, Elastic Net ochLogistisk Regression med avseende på prestationer vid klassificering av demens. I studien undersöks förutom det binära fallet (demens: ja/nej) prediktionsprestationer för utveckling av demens inom tidsspannen 1-10 år och 11-22 år. Detta för att unde

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Bergtold, Jason Scott. "Advances in Applied Econometrics: Binary Discrete Choice Models, Artificial Neural Networks, and Asymmetries in the FAST Multistage Demand System." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27266.

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The dissertation examines advancements in the methods and techniques used in the field of econometrics. These advancements include: (i) a re-examination of the underlying statistical foundations of statistical models with binary dependent variables. (ii) using feed-forward backpropagation artificial neural networks for modeling dichotomous choice processes, and (iii) the estimation of unconditional demand elasticities using the flexible multistage demand system with asymmetric partitions and fixed effects across time. The first paper re-examines the underlying statistical foundations of stati

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Carpenter, R. A. "The effects of changes in work protocol on the VOâ‚‚-workload regression and predicted Oâ‚‚ demand." Thesis, University of Westminster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251663.

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Lacy, Wayne E. "Relationship Between the California Drought and Almond Demand." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4648.

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Areas of California's Central Valley are sinking at rates up to 1 foot per year due to subsidence caused, in part, by the state's years-long drought, challenging growers to locate additional water sources for their crops. Supply and demand theory guided this correlational study. The purpose of the study was to examine the financial impact of drought on almond demand. This study included annualized historical almond industry data for the United States (N = 97), downloaded from a United States Department of Agriculture database. The results of multiple linear regression analysis indicated that t

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Subbiah, Rajesh. "An activity-based energy demand modeling framework for buildings: A bottom-up approach." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23084.

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Energy consumption by buildings, due to various factors such as temperature regulation, lighting, poses a threat to our environment and energy resources. In the United States, statistics reveal that commercial and residential buildings combined contribute about 40 percent of the overall energy consumption, and this figure is expected to increase. In order to manage the growing demand for energy, there is a need for energy system optimization, which would require a realistic, high-resolution energy-demand model. In this work, we investigate and model the energy consumption of buildings by takin

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Silva, Lucia de FÃtima Barbosa da. "EstratÃgias de DeterminaÃÃo dos Fatores de DecisÃo dos Tomadores de MicrocrÃdito." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=1825.

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nÃo hÃ<br>Este estudo visou desenvolver mecanismos capazes de classificar um indivÃduo em usuÃrio ou nÃo usuÃrio de microcrÃdito a partir da determinaÃÃo dos fatores que influenciam a sua decisÃo por este tipo de microfinanciamento, ou em se tratando de usuÃrio, identificar preventivamente a sua potencialidade de deixar de ser usuÃrio deste tipo de microemprÃstimo, podendo ser aplicados, complementarmente, em momentos distintos. Na prÃtica, se percebe que a decisÃo do tomador potencial por microcrÃdito rompe as suas caracterÃsticas pessoais. Empiricamente, este empreendedor faz uma anÃlise das

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Smith, Jardus. "The determinants of the international demand for tourism to South Africa / J. Smith." Thesis, North-West University, 2006. http://hdl.handle.net/10394/1275.

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Globally, the tourism industry is recognised as one of the fastest growing industries, generating high revenues and creating a vast number of job opportunities. In South Africa, this is no different and, in recent years, the tourism industry has outshone the country's gold exports therefore claiming its position as the fourth highest earner of foreign exchange to date. Yet the industry is still to receive the attention it deserves from conventional economics. This research aimed to fill this gap in South Africa by providing an understanding on the determinants of international tourism demand f

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ZANINI, ALEXANDRE. "NEURAL NETWORK AND DYNAMIC REGRESSION: A HYBRID MODEL TO FORECAST THE SHORT TERM DEMAND OF PETROL IN BRAZIL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2000. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7457@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Nesta dissertação é desenvolvido um modelo para previsão de curto prazo da demanda mensal de gasolina automotiva no Brasil. A metodologia usada consiste em, a partir de uma análise exploratória dos dados, procurar construir um modelo usando uma estratégia bottom-up, ou seja, parte-se de um modelo simples e processa-se seu refinamento até encontrar um modelo apropriado que mais se adequa à realidade. Partiu-se então de um modelo autoprojetivo indo até uma formulação de Redes Neurais passando por um modelo de regressão

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Jonsson, Estrid, and Sara Fredrikson. "An Investigation of How Well Random Forest Regression Can Predict Demand : Is Random Forest Regression better at predicting the sell-through of close to date products at different discount levels than a basic linear model?" Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302025.

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Allt eftersom klimatkrisen fortskrider ökar engagemanget kring hållbarhet inom företag. Växthusgaser är ett av de största problemen och matsvinn har därför fått mycket uppmärksamhet sedan det utnämndes till den tredje största bidragaren till de globala utsläppen. För att minska sitt bidrag rabatterar många matbutiker produkter med kort bästföredatum, vilket kommit att kräva en förståelse för hur priskänslig efterfrågan på denna typ av produkt är. Prisoptimering görs vanligtvis med så kallade Generalized Linear Models men då efterfrågan är ett komplext koncept har maskininl ärningsmetoder börja

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com, emmayuen@hotmail, and Emma Yuen. "Water Consumption Patterns in Australian Aboriginal Communities." Murdoch University, 2005. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20051119.134422.

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Aboriginal Australians have a significantly lower health status than their non-Aboriginal counterparts. To facilitate healthy living practices necessary for good health, a high level investment is currently made in water services, on the assumption that there is a relationship between the volume and quality of water supplied with health outcomes, despite the high economic and environmental cost. This thesis investigates whether the current design supply criteria of 1000-1200 litres per person per day of water, meeting the Australian Drinking Water Quality Guidelines, is both sufficient an

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An, Meiwu. "INTEGRATION OF THE REGRESSION-BASED LAND USE MODEL AND THE COMBINED TRIP DISTRIBUTION-ASSIGNMENT TRANSPORTATION MODEL." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/796.

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Regional growth caused the emergence of traffic congestion and pollution in the past few decades, which have started to affect small urban areas. These problems are not only related to transportation system design but also to land use planning. There has been growing recognition that the relationship between land use and transportation needs to be understood and analyzed in a consistent and systematic way. Integrated urban models have recently been introduced and implemented in several metropolitan areas to systematically examine the relationship between land use and transportation. The genera

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Li, Tao. "General Aviation Demand Forecasting Models and a Microscopic North Atlantic Air Traffic Simulation Model." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/71663.

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This thesis is focused on two topics. The first topic is the General Aviation (GA) demand forecasting models. The contributions to this topic are three fold: 1) we calibrated an econometric model to investigate the impact of fuel price on the utilization rate of GA piston engine aircraft, 2) we adopted a logistic model to identify the relationship between fuel price and an aircraft's probability of staying active, and 3) we developed an econometric model to forecast the airport-level itinerant and local GA operations. Our calibration results are compared with those reported in literature. Dema

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Fox, David. "Dynamic demand modelling and pricing decision support systems for petroleum." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/dynamic-demand-modelling-and-pricing-decision-support-systems-for-petroleum(2ce6efed-a7eb-4d10-b325-4d4590ba57ad).html.

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Pricing decision support systems have been developed in order to help retail companies optimise the prices they set when selling their goods and services. This research aims to enhance the essential forecasting and optimisation techniques that underlie these systems. This is first done by applying the method of Dynamic Linear Models in order to provide sales forecasts of a higher accuracy compared with current methods. Secondly, the method of Support Vector Regression is used to forecast future competitor prices. This new technique aims to produce forecasts of greater accuracy compared with th

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Ejohwomu, Obuks Augustine. "Modelling the supply and demand for construction and building services skills in the Black Country." Thesis, University of Wolverhampton, 2007. http://hdl.handle.net/2436/15395.

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Evidence seems to suggest that with 14 years of unbroken economic growth, the UK’s construction and building services sector is experiencing severe skills crisis of between 40 – 50 per cent retention rate and declining numbers of entrant trainees. More importantly, the level of this severity varies with sub regional and regional peculiarities. To date, most studies on this area have focused on increasing the population of the existing pools of labour rather than harnessing existing ones. Adopting the concept of multiskilling, current techniques of evaluating skills crisis were critically revie

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Dubihlela, Dorah. "An analysis of the poor's demand patterns during rising prices : the case of Bophelong / Dorah Dubihlela." Thesis, North-West University, 2012. http://hdl.handle.net/10394/10120.

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This study investigated the demand patterns of poor households during a period of rising prices. Focus was on three main constructs namely the poor, rising prices and the demand patterns. The study was on Bophelong, a township in South Africa. This study was conducted from an empirical, quantitative approach which was preceded by a literature review. The main objective of conducting the literature review was to provide a theoretical framework for questionnaire design and empirical work. Cross sectional data was collected at Bophelong households. On completion of the survey, the poor were selec

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Eliasson, Ann-Charlotte. "Smooth transitions in macroeconomic relationships." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (Ekonomiska forskningsinstitutet vid Handelshögsk.) (EFI), 1999. http://www.hhs.se/efi/summary/516.htm.

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Yazici, Riza Onur. "Air Passenger Demand Forecasting For Planned Airports, Case Study: Zafer And Or-gi Airports In Turkey." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612933/index.pdf.

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The economic evaluation of a new airport investment requires the use of estimated future air passenger demand.Today it is well known that air passenger demand is basicly dependent on various socioeconomic factors of the country and the region where the planned airport would serve. This study is focused on estimating the future air passenger demand for planned airports in Turkey where the historical air passsenger data is not available.For these purposses, neural networks and multi-linear regression were used to develop forecasting models. As independent variables,twelve socioeconomic parameter

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Rey, Diana. "A Gasoline Demand Model for the United States Light Vehicle Fleet." Master's thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2351.

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The United States is the world's largest oil consumer demanding about twenty five percent of the total world oil production. Whenever there are difficulties to supply the increasing quantities of oil demanded by the market, the price of oil escalates leading to what is known as oil price spikes or oil price shocks. The last oil price shock which was the longest sustained oil price run up in history, began its course in year 2004, and ended in 2008. This last oil price shock initiated recognizable changes in transportation dynamics: transit operators realized that commuters switched to transit

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Zhang, Qiong. "Analysis of Transit Travel Demand Change for Bus-Only Mode in U.S. Metropolitan Statistical Areas between 2000 and 2010 Using Two-Stage Least Squares Regression." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1367930592.

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Haubeltova, Libuse. "Case study of Airbnb listings in Berlin : Hedonic pricing approach to measuring demand for tourist accommodation characteristics." Thesis, Högskolan Dalarna, Nationalekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-29979.

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The main purpose of this degree project is to reveal the Airbnb customer’s preferences and quantify the impact of non-market factors on the market price of tourist accommodation in Berlin, Germany. The data retrieved from Airbnb listings, publicly available on Inside Airbnb (2017), was supplemented on indicator of sharing economy accommodation using machine learning method in order to distinguish between amateur and business-running professional hosts. The main aim is to examine the consumers’ preferences and quantify the marginal effect of "real sharing economy" accommodation and other key va

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Calegari, Rafael. "Uso de técnicas de previsão de demanda como ferramenta de apoio à gestão de emergências hospitalares com alto grau de congestionamento." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/142739.

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Os serviços de emergências hospitalares (EH) desempenham um papel fundamental no sistema de saúde, servindo de porta de entrada para hospitais e fornecendo cuidados para pacientes com lesões e doenças graves. No entanto, as EH em todo o mundo sofrem com o aumento da demanda e superlotação. Múltiplos fatores convergem simultaneamente para resultar nessa superlotação, porém a otimização do gerenciamento do fluxo dos pacientes pode auxiliar na redução do problema. Nesse contexto, o tempo de permanência dos pacientes na EH (TPEH) é consolidado na literatura como indicador de qualidade do fluxo de

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Garcia, Altemir Tomaz de Carvalho. "Estimativa de demanda de energia elétrica em uma instituição de ensino superior." Universidade Federal da Paraíba, 2015. http://tede.biblioteca.ufpb.br:8080/handle/tede/8150.

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Submitted by Maike Costa (maiksebas@gmail.com) on 2016-04-25T12:59:29Z No. of bitstreams: 1 arquivo total.pdf: 2399944 bytes, checksum: b31ffd454938b9e66e2494032cb6d9ee (MD5)<br>Made available in DSpace on 2016-04-25T12:59:29Z (GMT). No. of bitstreams: 1 arquivo total.pdf: 2399944 bytes, checksum: b31ffd454938b9e66e2494032cb6d9ee (MD5) Previous issue date: 2015-08-28<br>In recent years, several studies where published regarding to the estimation of variables related to the use of electricity, where the most varied methodologies are used to perform modeling and estimation of demand for en

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Savoia, Ricardo. "O gerenciamento do planejamento de mercado nas distribuidoras de energia elétrica: do racionamento ao ambiente regulado e livre de contratação de energia." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/86/86131/tde-22092009-112713/.

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Este trabalho tem por objetivo quantificar as relações entre a demanda de energia elétrica e suas principais relações com os indicadores econômicos, socioeconômicos e comportamentais do País, busca a relação do consumo de eletricidade com o PIB - Produto Interno Bruto, seus agregados econômicos e o consumo de eletricidade do Brasil, Região Sudeste e o Estado de São Paulo, com suas principais classes de consumo residencial, comercial e Industrial, no período de 1984 a 2007. Para análise estatística, foi utilizado o E-Views como suporte e avanços para obtenção de melhores coeficientes estatísti

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Fernandes, Ivan Filipe de Almeida Lopes. "A democracia reduz a desigualdade econômica?" Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/8/8131/tde-18032015-113901/.

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O objetivo primordial deste trabalho é analisar se a democracia é uma instituição política que produz resultados econômicos menos desiguais do que os regimes autoritários. A importância deste tema reside no fato que a própria promoção da democracia na agenda da política internacional tornou-se fundamental por inúmeras razões entre as quais sua suposta propensão em reduzir estas disparidades econômicas. Em primeiro lugar apresentamos no Capítulo 1 um balanço da discussão teórica e empírica a partir da qual constatamos que, a despeito do senso comum de que a democracia está relacionada a uma cid

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Korolija, Ivan. "Heating, ventilating and air-conditioning system energy demand coupling with building loads for office buildings." Thesis, De Montfort University, 2011. http://hdl.handle.net/2086/5501.

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The UK building stock accounts for about half of all energy consumed in the UK. A large portion of the energy is consumed by nondomestic buildings. Offices and retail are the most energy intensive typologies within the nondomestic building sector, typically accounting for over 50% of the nondomestic buildings’ total energy consumption. Heating, ventilating and air conditioning (HVAC) systems are the largest energy end use in the nondomestic sector, with energy consumption close to 50% of total energy consumption. Different HVAC systems have different energy requirements when responding to the

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Lindström, Agnes, and Frida Persson. "Estimation of Hourly Origin Destination Trip Matrices for a Model of Norrköping." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150135.

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During the last century, the number of car users has increased as an effect of the increasing population growth. To manage the environmental and infrastructural challenges that comes with a more congested traffic network, traffic planning has become of higher importance to analyze the current traffic state and to predict future capacity challenges and effects of investments. These analysis and evaluations are commonly performed in different traffic analysis tools, where updated and realistic traffic demand needs to be provided to ensure reasonable results. In this thesis, a macroscopic model o

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Liu, Julia, and Linnéa Lindahl. "Prediktion av efterfrågan i filmbranschen baserat på maskininlärning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235719.

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Machine learning is a central technology in data-driven decision making. In this study, machine learning in the context of demand forecasting in the motion picture industry from film exhibitors’ perspective is investigated. More specifically, it is investigated to what extent the technology can assist estimation of public interest in terms of revenue levels of unreleased movies. Three machine learning models are implemented with the aim to forecast cumulative revenue levels during the opening weekend of various movies which were released in 2010-2017 in Sweden. The forecast is based on ten att

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Wang, Mengchao. "Sensitivity analysis and evolutionary optimization for building design." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16282.

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In order to achieve global carbon reduction targets, buildings must be designed to be energy efficient. Building performance simulation methods, together with sensitivity analysis and evolutionary optimization methods, can be used to generate design solution and performance information that can be used in identifying energy and cost efficient design solutions. Sensitivity analysis is used to identify the design variables that have the greatest impacts on the design objectives and constraints. Multi-objective evolutionary optimization is used to find a Pareto set of design solutions that optimi

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Andung, Muntaha Muhamad. "Non-intrusive Logging and Monitoring System of a Parameterized Hardware-in-the-loop Real-Time Simulator." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254655.

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Electronic Control Unit (ECU) is a crucial component in today’s vehicle. In a complete vehicle, there are many ECUs installed. Each of these controls a single function of the vehicle. During the development cycle of an ECU, its functionality needs to be validated against the requirement specification. The Hardware-in-the-loop (HIL) method is commonly used to do this by testing the ECU in a virtual representation of its controlled system. One crucial part of the HIL testing method is an intermediary component that acts as a bridge between the simulation computer and the ECU under test. This com

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Hodžic, Faris. "Vliv míry zadluženosti na výši veřejných výdajů v resortu obrany ve vybraných členských státech NATO." Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-165928.

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The defense spending plays a significant role in the decision-making process of setting up a defense policy. The economy of a state, its performance and development rank among the main factors that influence the size of this public expenditure. At a time of economic stagnation in the Western European countries, the ongoing public debt crisis affects to a ever growing extent all areas of public spending, including the defense. This work aims to contribute to the current knowledge in the field of defense economy and public finance by investigating the influence of the state debt on defense spend

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Krygielová, Lucie. "Uplatnění statistických metod při zpracování dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224432.

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This thesis deals with the optimization of the supply process of a small business, especially with determining the optimal inventory level and demand forecasting, using tools of time series analysis. The final part gives a description of the creation of the program that is used to calculate individual indicators and forecasts. The aim is to increase the efficiency of the supply process, thereby reducing operating costs of the company.

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