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Dissertations / Theses on the topic 'Forecasting accuracy'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Gunner, J. C. "A model of building price forecasting accuracy." Thesis, University of Salford, 1997. http://usir.salford.ac.uk/26702/.

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The purpose of this research was to derive a statistical model comprising the significant factors influencing the accuracy of a designer's price forecast and as an aid to providing a theoretical framework for further study. To this end data, comprising 181 building contract details, was collected from the Singapore office of an international firm of quantity surveyors over the period 1980 to 1991. Bivariate analysis showed a number of independent variables having significant effect on bias which was in general agreement with previous work in this domain. The research also identified a number o

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2

Lindström, Markus. "Forecasting day-ahead electricity prices in Sweden : Has the forecasting accuracy decreased?" Thesis, Umeå universitet, Nationalekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184649.

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Sweden is currently transitioning towards having 100% electricity generation from renewable energy sources by 2040. To reach this goal, Sweden will ramp up the generation from wind power while simultaneously phasing out nuclear power. Replacing nuclear power with an intermittent production source such as wind power has been proven to increase the variability of electricity prices. The purpose of this study has been to investigate if the increasing electricity generation through wind power in Sweden has decreased the accuracy of price forecasts provided by ARIMA models. Using an automated algor

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3

Zbib, Imad J. (Imad Jamil). "Sales Forecasting Accuracy Over Time: An Empirical Investigation." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332526/.

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This study investigated forecasting accuracy over time. Several quantitative and qualitative forecasting models were tested and a number of combinational methods was investigated. Six time series methods, one causal model, and one subjective technique were compared in this study. Six combinational forecasts were generated and compared to individual forecasts. A combining technique was developed. Thirty data sets, obtained from a market leader in the cosmetics industry, were used to forecast sales. All series represent monthly sales from January 1985 to December 1989. Gross sales forecasts from

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4

SESKAUSKIS, ZYGIMANTAS, and ROKAS NARKEVICIUS. "Sales forecasting management." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685.

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The purpose of this research is to investigate current company business process from sales forecasting perspective and provide potential improvements of how to deal with unstable market demand and increase overall precision of forecasting. The problem which company face is an unstable market demand and not enough precision in sales forecasting process. Therefore the research questions are:  How current forecasting process can be improved?  What methods, can be implemented in order to increase the precision of forecasting? Study can be described as an action research using an abductive approa

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Novela, George. "Testing maquiladora forecast accuracy." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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6

Karimi, Arizo. "VARs and ECMs in forecasting – a comparative study of the accuracy in forecasting Swedish exports." Thesis, Uppsala University, Department of Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9223.

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<p>In this paper, the forecast performance of an unrestricted Vector Autoregressive (VAR) model was compared against the forecast accuracy of a Vector error correction (VECM) model when computing out-of-sample forecasts for Swedish exports. The co-integrating relation used to estimate the error correction specification was based upon an economic theory for international trade suggesting that a long run equilibrium relation among the variables included in an export demand equation should exist. The results obtained provide evidence of a long run equilibrium relationship between the Swedish expo

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7

Eroglu, Cuneyt. "An investigation of accuracy, learning and biases in judgmental adjustments of statistical forecasts." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1150398313.

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8

Bilodeau, Bernard. "Accuracy of a truncated barotropic spectral model : numerical versus analytical solutions." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66037.

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9

Yongtao, Yu. "Exchange rate forecasting model comparison: A case study in North Europe." Thesis, Uppsala universitet, Statistiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154948.

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In the past, a lot of studies about the comparison of exchange rate forecasting models have been carried out. Most of these studies have a similar result which is the random walk model has the best forecasting performance. In this thesis, I want to find a model to beat the random walk model in forecasting the exchange rate. In my study, the vector autoregressive model (VAR), restricted vector autoregressive model (RVAR), vector error correction model (VEC), Bayesian vector autoregressive model are employed in the analysis. These multivariable time series models are compared with the random wal

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10

Orrebrant, Richard, and Adam Hill. "Increasing sales forecast accuracy with technique adoption in the forecasting process." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-24038.

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Abstract Purpose - The purpose with this thesis is to investigate how to increase sales forecast accuracy. Methodology – To fulfil the purpose a case study was conducted. To collect data from the case study the authors performed interviews and gathered documents. The empirical data was then analysed and compared with the theoretical framework. Result – The result shows that inaccuracies in forecasts are not necessarily because of the forecasting technique but can be a result from an unorganized forecasting process and having an inefficient information flow. The result further shows that

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11

PARKASH, MOHINDER. "THE IMPACT OF A FIRM'S CONTRACTS AND SIZE ON THE ACCURACY, DISPERSION AND REVISIONS OF FINANCIAL ANALYSTS' FORECASTS: A THEORETICAL AND EMPIRICAL INVESTIGATION." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184093.

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The evidence presented in this study suggests that the dispersion, accuracy and transitory component in revisions of financial analysts' forecasts (FAF) are determined by production/investment/financing decisions, accounting choices as well as firm specific characteristics including the type of control, debt to equity ratio and size of the firm. Firms with managers control (owners control), high (low) debt to equity ratio and large (small) size are hypothesized to have higher (lower) dispersion, forecast error and transitory components in revisions of FAF. These hypotheses are motivated by the

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Leibrecht, Markus. "Zur Präzision der Steuerprognose in Österreich." Austrian Statistical Society, 2004. http://epub.wu.ac.at/5635/1/445%2D1337%2D1%2DSM.pdf.

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Der Beitrag analysiert die Präzision der Aufkommensprognose wichtiger Bundesabgaben der Jahre 1976 bis 2002 in Österreich. Dadurch wird eine im Schrifttum bestehende Forschungs- und Informationslücke verringert. Eine Prognose wird dazu als präzise verstanden, wenn sie sowohl unverzerrt als auch im Mittel genau ist. Die Prognose des Steueraufkommens auf Bundesebene ist in Österreich gemessen am Bruttogesamtabgabenaufkommen präzise. Dennoch sind aufgrund der unpräzisen Prognosen wichtiger Einzelsteuern Verbesserungen möglich. Als mögliche Ursachen für die Verschätzungen werden die Organisa

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13

Lambert, Tara Denise Barton. "Accuracy of Atlantic and Eastern North Pacific tropical cyclone intensity guidance." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FLambert.pdf.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, September 2005.<br>Thesis Advisor(s): Russell L. Elsberry. Includes bibliographical references (p.115-117). Also available online.

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Silva, Rodolfo Benedito da. "Previsão de demanda no setor de suplementação animal usando combinação e ajuste de previsões." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/98117.

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A previsão de demanda desempenha um papel de fundamental importância dentro das organizações, pois através dela é possível obter uma declaração antecipada do volume demandado no futuro, permitindo aos gestores a tomarem decisões mais consistentes e alocarem os recursos de modo eficaz para atender esta demanda. Entretanto, a eficiência na tomada de decisões e alocação dos recursos requer previsões cada vez mais acuradas. Diante deste contexto, a combinação de previsões tem sido amplamente utilizada com o intuito de melhorar a acurácia e, consequentemente, a precisão das previsões. Este estudo t

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15

King, Julie. "Colour forecasting : an investigation into how its development and use impacts on accuracy." Thesis, University of the Arts London, 2011. http://ualresearchonline.arts.ac.uk/5657/.

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Colour forecasting is a sector of trend forecasting which is arguably the most important link in the product development process, yet little is known about it, the methodology behind its development or its accuracy. It is part of a global trend forecasting industry valued recently at $36bn, providing information which is developed commercially eighteen months to two years ahead of the season. Used throughout the garment supply chain, by the yarn and fibre manufacturers, the fabric mills, garment designers and retailers, it plays a pivotal role in the fashion and textile industry, but appears i

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16

Ng, Yuen-yuen, and 吳淵源. "Construction price forecasting: an empirical study on improving estimating accuracy for building works." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31251390.

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17

Dyussekeneva, Karima. "New product sales forecasting : the relative accuracy of statistical, judgemental and combination forecasts." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550612.

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This research investigates three approaches to new product sales forecasting: statistical, judgmental and the integration of these two approaches. The aim of the research is to find a simple, easy-to-use, low cost and accurate tool which can be used by managers to forecast the sales of new products. A review of the literature suggested that the Bass diffusion model was an appropriate statistical method for new product sales forecasting. For the judgmental approach, after considering different methods and constraints, such as bias, complexity, lack of accuracy, high cost and time involvement, t

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Ng, Yuen-yuen. "Construction price forecasting : an empirical study on improving estimating accuracy for building works /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25947837.

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19

Ragnerstam, Elsa. "How to calculate forecast accuracy for stocked items with a lumpy demand : A case study at Alfa Laval." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-30961.

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Inventory management is an important part of a good functioning logistic. Nearly all the literature on optimal inventory management uses criteria of cost minimization and profit maximization. To have a well functioning forecasting system it is important to have a balance in the inventory. But, it exist different factors that can results in uncertainties and difficulties to maintain this balance. One important factor is the customers’ demand. Over half of the stocked items are in stock to prevent irregular orders and an uncertainty demand. The customers’ demand can be categorized into four cate

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20

Gramz, James. "Using Evolutionary Programming to increase the accuracy of an ensemble model for energy forecasting." Thesis, Marquette University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1554240.

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<p>Natural gas companies are always trying to increase the accuracy of their forecasts. We introduce evolutionary programming as an approach to forecast natural gas demand more accurately. The created Evolutionary Programming Engine and Evolutionary Programming Ensemble Model use the current GasDay models, along with weather and historical flow to create an overall forecast for the amount of natural gas a company will need to supply to their customers on a given day. The existing ensemble model uses the GasDay component models and then tunes their individual forecasts and combines them to crea

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21

Blackerby, Jason S. "Accuracy of Western North Pacific tropical cyclone intensity guidance /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FBlackberry.pdf.

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22

Usman, Adeem Syed 1975. "Demand forecasting accuracy in airline revenue management : analysis of practical issues with forecast error reduction." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/82802.

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23

Hines, Karen Anne. "Predicting Future Emotions from Different Points of View: The Influence of Imagery Perspective on Affective Forecasting Accuracy." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1282066755.

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24

Costantini, Mauro, Cuaresma Jesus Crespo, and Jaroslava Hlouskova. "Forecasting errors, directional accuracy and profitability of currency trading: The case of EUR/USD exchange rate." Wiley, 2016. http://dx.doi.org/10.1002/for.2398.

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We provide a comprehensive study of out-of-sample forecasts for the EUR/USD exchange rate based on multivariate macroeconomic models and forecast combinations. We use profit maximization measures based on directional accuracy and trading strategies in addition to standard loss minimization measures. When comparing predictive accuracy and profit measures, data snooping bias free tests are used. The results indicate that forecast combinations, in particular those based on principal components of forecasts, help to improve over benchmark trading strategies, although the excess return per unit of

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25

Li, Gong. "Improvement of Wind Forecasting Accuracy and its Impacts on Bidding Strategy Optimization for Wind Generation Companies." Diss., North Dakota State University, 2012. https://hdl.handle.net/10365/26815.

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One major issue of wind generation is its intermittence and uncertainty due to the highly volatile nature of wind resource, and it affects both the economy and the operation of the wind farms and the distribution networks. It is thus urgently needed to develop modeling methods for accurate and reliable forecasts on wind power generation. Meanwhile, along with the ongoing electricity market deregulation and liberalization, wind energy is expected to be directly auctioned in the wholesale market. This brings the wind generation companies another issue of particular importance, i.e., how to maxim

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Andersen, Frans, and David Fagersand. "Forecasting commodities : - A study of methods, interests and preception." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-230411.

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This study aims to investigate reasons for variation in accuracy between different forecast methods by studying the choice of methods, learning processes, biases and opinions within the firms using them; enabling us to provide recommendations of how to improve accuracy within each forecast method. Eleven Swedish and international companies that are regularly forecasting commodity price-levels have been interviewed. Since there is a cultural aspect to the development of forecast methods; the authors have chosen to conduct a qualitative study, using a semi-structured interview technique that ena

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Asar, Ozgur. "On Multivariate Longitudinal Binary Data Models And Their Applications In Forecasting." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614510/index.pdf.

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Longitudinal data arise when subjects are followed over time. This type of data is typically dependent, due to including repeated observations and this type of dependence is termed as within-subject dependence. Often the scientific interest is on multiple longitudinal measurements which introduce two additional types of associations, between-response and cross-response temporal dependencies. Only the statistical methods which take these association structures might yield reliable and valid statistical inferences. Although the methods for univariate longitudinal data have been mostly studied, m

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Ribeiro, Ramos Francisco Fernando, and fr1960@clix pt. "Essays in time series econometrics and forecasting with applications in marketing." RMIT University. Economics, Finance and Marketing, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20071220.144516.

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This dissertation is composed of two parts, an integrative essay and a set of published papers. The essay and the collection of papers are placed in the context of development and application of time series econometric models in a temporal-axis from 1970s through 2005, with particular focus in the Marketing discipline. The main aim of the integrative essay is on modelling the effects of marketing actions on performance variables, such as sales and market share in competitive markets. Such research required the estimation of two kinds of time series econometric models: multivariate and multip

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Frank, James Allen. "An assessment of the forecasting accuracy of the structured accession planning system for officers (STRAP-O) model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA273000.

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Lobban, Stacey, and Hana Klimsova. "Demand Forecasting : A study at Alfa Laval in Lund." Thesis, Växjö University, School of Management and Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-2127.

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<p>Accurate forecasting is a real problem at many companies and that includes Alfa Laval in Lund. Alfa Laval experiences problems forecasting for future raw material demand. Management is aware that the forecasting methods used today can be improved or replaced by others. A change could lead to better forecasting accuracy and lower errors which means less inventory, shorter cycle times and better customer service at lower costs.</p><p>The purpose of this study is to analyze Alfa Laval’s current forecasting models for demand of raw material used for pressed plates, and then determine if other m

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Knost, Benjamin R. "Evaluating the Accuracy of Pavement Deterioration Forecasts: Application to United States Air Force Airfields." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1480665140928498.

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32

Zhai, Yuzheng. "Improving scalability and accuracy of text mining in grid environment." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/5927.

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The advance in technologies such as massive storage devices and high speed internet has led to an enormous increase in the volume of available documents in electronic form. These documents represent information in a complex and rich manner that cannot be analysed using conventional statistical data mining methods. Consequently, text mining is developed as a growing new technology for discovering knowledge from textual data and managing textual information. Processing and analysing textual information can potentially obtain valuable and important information, yet these tasks also requires enorm

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33

Zhao, Richard Folger. "Can model-based forecasts predict stock market volatility using range-based and implied volatility as proxies?" Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/13917.

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Mestrado em Finanças<br>This thesis attempts to evaluate the performance of parametric time series models and RiskMetrics methodology to predict volatility. Range-based price estimators and Model-free implied volatility are used as a proxy for actual ex-post volatility, with data collected from ten prominent global volatility indices. To better understand how volatility behaves, different models from the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) class were selected with Normal, Student-t and Generalized Error distribution (GED) innovations. A fixed rolling window method

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Boulin, Juan Manuel. "Call center demand forecasting : improving sales calls prediction accuracy through the combination of statistical methods and judgmental forecast." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59159.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-81).<br>Call centers are important for developing and maintaining healthy relationships with customers. At Dell, call centers are also at the core of the company's renowned direct model. For sales call centers in particular, the impact of proper operations is reflected n

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Nan, Fany. "Forecasting next-day electricity prices: from different models to combination." Doctoral thesis, Università degli studi di Padova, 2009. http://hdl.handle.net/11577/3426510.

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As a result of deregulation of most power markets around the world electricity price modeling and forecasting have obtained increasing importance in recent years. Large number of models has been studied on a wide range of power markets, from linear time series and multivariate regression models to more complex non linear models with jumps, but results are mixing and there is no single model that provides convincing superior performance in forecasting spot prices. This study considers whether combination forecasts of spot electricity prices are statistically superior to a wide range of single m

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Pannell, J. C. "An investigation into improving the accuracy of real-time flood forecasting techniques for the Onkaparinga River catchment, South Australia /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09ENS/09ensp194.pdf.

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Jadevicius, Arvydas. "An evaluation of the use of combination techniques in improving forecasting accuracy for commercial property cycles in the UK." Thesis, Edinburgh Napier University, 2014. http://researchrepository.napier.ac.uk/Output/7558.

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In light of the financial and property crisis of 2007-2013 it is difficult to ignore the existence of cycles in the general business sector, as well as in building and property. Moreover, this issue has grown to have significant importance in the UK, as the UK property market has been characterized by boom and bust cycles with a negative impact on the overall UK economy. Hence, an understanding of property cycles can be a determinant of success for anyone working in the property industry. This thesis reviews chronological research on the subject, which stretches over a century, characterises t

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Cordeiro, Clara Maria Henrique. "Métodos de reamostragem em modelos de previsão." Doctoral thesis, ISA/UTL, 2011. http://hdl.handle.net/10400.5/3866.

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Doutoramento em Matemática e Estatística - Instituto Superior de Agronomia<br>The study of a time series has forecasting as one of its primary objectives. Exponential smoothing methods (EXPOS) stand out due to their versatility in the wide choice of models that they include. The widespread dissemination makes them the most widely used methods of modeling and forecasting in time series. An area that has given great support to the statistical inference is computational statistics, specifically the bootstrap methodology. In time series that methodology is most frequently used through the re

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Fenlason, Joel W. "Accuracy of tropical cyclone induced winds using TYDET at Kadena AB." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FFenlason.pdf.

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Grek, Åsa. "Forecasting accuracy for ARCH models and GARCH (1,1) family : Which model does best capture the volatility of the Swedish stock market?" Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37495.

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Badenhorst, Dirk Jakobus Pretorius. "Improving the accuracy of prediction using singular spectrum analysis by incorporating internet activity." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80056.

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Thesis (MComm)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: Researchers and investors have been attempting to predict stock market activity for years. The possible financial gain that accurate predictions would offer lit a flame of greed and drive that would inspire all kinds of researchers. However, after many of these researchers have failed, they started to hypothesize that a goal such as this is not only improbable, but impossible. Previous predictions were based on historical data of the stock market activity itself and would often incorporate different types of auxiliary data

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Urbanec, Matěj. "Kvantitativní analýza predikce poptávky u vybrané společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193095.

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This thesis deals with the prediction demand forecasting in a company, focusing especially on quantitative methods of prediction. The theoretical part presents the predictions of demand, its place and importance in a company. Secondly, it presents various methods of qualitative and quantitative demand forecasting and the methods for measuring prediction accuracy. The practical part applies several methods on a real data of the company. These are the methods of moving averages, exponential smoothing, Holt and Holt-Winters method and the simple linear regression. The accuracy of each method are

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Kumar, Akhil. "Budget-Related Prediction Models in the Business Environment with Special Reference to Spot Price Predictions." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc331533/.

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The purpose of this research is to study and improve decision accuracy in the real world. Spot price prediction of petroleum products, in a budgeting context, is the task chosen to study prediction accuracy. Prediction accuracy of executives in a multinational oil company is examined. The Brunswik Lens Model framework is used to evaluate prediction accuracy. Predictions of the individuals, the composite group (mathematical average of the individuals), the interacting group, and the environmental model were compared. Predictions of the individuals were obtained through a laboratory experiment i

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Guragai, Binod. "Firm Performance and Analyst Forecast Accuracy Following Discontinued Operations: Evidence from the Pre-SFAS 144 and SFAS 144 Eras." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984135/.

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Because of the non-recurring and transitory nature of discontinued operations, accounting standards require that the results of discontinued operations be separately reported on the income statement. Prior accounting literature supports the view that discontinued operations are non-recurring or transitory in nature, and also suggests that income classified as transitory has minimal relevance in firm valuation. Finance and management literature, however, suggest that firms discontinue operations to strategically utilize their scarce resources. Assuming that discontinued operations are a result

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Franchin, Luisa <1990&gt. "The partnership between an Original Equipment Manufacturer and Direct Client. The business case of De Longhi Appliances and Nespresso with a focus on forecasting accuracy." Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/8087.

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The thesis examines a forecast analysis and its implications on production planning. In particular, concerning a company producing small domestic appliances, the focus is on the forecast of high quality coffee machines for a direct client. The forecast for each SKU is split into each market of distribution and there are mainly two types of forecast: the one produced by the company itself for the markets it serves using both the brands' recognition, and the one produced by the client for its exclusive markets. The accuracy of the forecast has important implications on the production process and

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Nizam, Anisulrahman. "Improving long range forecast errors for better capacity decision making." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/893.

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Long-range demand planning and capacity management play an important role for policy makers and airline managers alike. Each makes decisions regarding allocating appropriate levels of funds to align capacity with forecasted demand. Decisions today can have long lasting effects. Reducing forecast errors for long-range range demand forecasting will improve resource allocation decision making. This research paper will focus on improving long-range demand planning and forecasting errors of passenger traffic in the U.S. domestic airline industry. This paper will look to build upon current forecasti

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47

Duarte, Cláudia Filipa Pires. "Essays on mixed-frequency data : forecasting and unit root testing." Doctoral thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/11662.

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Doutoramento em Economia<br>Nas últimas décadas, OS investigadores têm tido acesso a bases de dados cada vez mais abrangentes, que incluem séries com frequências temporais mais elevadas e que são divulgadas mais atempadamente. Em contraste, algumas variáveis, nomeadamente alguns dos principais indicadores macroeconómicos, são divulgados com urn desfasamento temporal significativo e com baixa frequência. Esta situação levanta questões sobre como lidar com séries com frequências temporais diferentes, mistas. Ao longo do tempo, várias técnicas têm sido propostas. Esta tese debruça-se sobre uma t

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Thornes, Tobias. "Investigating the potential for improving the accuracy of weather and climate forecasts by varying numerical precision in computer models." Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:038874a3-710a-476d-a9f7-e94ef1036648.

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Accurate forecasts of weather and climate will become increasingly important as the world adapts to anthropogenic climatic change. Forecasts' accuracy is limited by the computer power available to forecast centres, which determines the maximum resolution, ensemble size and complexity of atmospheric models. Furthermore, faster supercomputers are increasingly energy-hungry and unaffordable to run. In this thesis, a new means of making computer simulations more efficient is presented that could lead to more accurate forecasts without increasing computational costs. This 'scale-selective reduced p

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Burgada, Muñoz Santiago. "Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentation." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/13322.

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Brzoska, Jan [Verfasser], Doris [Gutachter] Fischer, and Björn [Gutachter] Alpermann. "Market forecasting in China: An Artificial Neural Network approach to optimize the accuracy of sales forecasts in the Chinese automotive market / Jan Brzoska ; Gutachter: Doris Fischer, Björn Alpermann." Würzburg : Universität Würzburg, 2020. http://d-nb.info/1209881292/34.

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