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Książki na temat „Demand prediction”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Cohen, Maxime C., Paul-Emile Gras, Arthur Pentecoste, and Renyu Zhang. Demand Prediction in Retail. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85855-1.

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Tomar, Anuradha, Prerna Gaur, and Xiaolong Jin, eds. Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6490-9.

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Tennant, S. T. Short term demand analysis and prediction for control of water supply. Leicester Polytechnic, 1987.

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Tennant, Steven Trevor. Short term demand analysis and prediction for control of water supply. Leicester Polytechnic, 1987.

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Tennant, S. T. A system description of GIDAP(Graphical Interactive Demand Analysis & Prediction program. Leicester Polytechnic, 1986.

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Tennant, S. A system description of GIDAP: (A Graphical Interactive Demand Analysis and Prediction Program). Leicester Polytechnic, 1986.

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Coulbeck, B. Development of a demand prediction program for use in optimal control of water supply. Leicester Polytechnic, 1985.

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Tennant, S. Test and verification procedures for GIDAP: (A Graphical Interactive Demand Analysis and Prediction Program). Leicester Polytechnic, 1986.

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9

Cronin, David. Patterns in money demand: Indicators and predictions. Research and Publications Department, Central Bank of Ireland, 1994.

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10

de, Jong Gerard, EXPEDITE Consortium, RAND Europe, Rand Corporation, and European Commission. Directorate-General for Energy and Transport., eds. EXPEDITE: EXpert-system based PrEdictions of demand for internal transport in Europe. RAND, 2003.

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Rajagopalan, Hari. Forecasting in Manufacturing: Predicting Frozen Biscuit Packaging Demand in Times of Uncertainty. Edited by Hari Rajagopalan. SAGE Publications, Inc., 2024. http://dx.doi.org/10.4135/9781071968291.

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Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplem

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13

Hussar, William J. Predicting the need for newly hired teachers in the United States to 2008-09. National Center for Education Statistics, U.S. Dept. of Education, Office of Educational Research and Improvement, 1999.

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1923-, Harvey Julien, ed. Repères pour demain: Avenir et environnement au Québec. Bellarmin, 1987.

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Sidorenko, Oleg. Microbiological bases of natural milk starter culture. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1150302.

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For the first time, the educational and methodological manual summarizes knowledge about the peculiarities of the ecology of lactobacilli of natural starter cultures of different geographical zones of Russia. Geographical races of lactobacilli and yeast of dairy national products can be a source of new, more resistant to extreme factors (including medicinal preparations) enzymes that will be in demand in biotechnology, medicine. Gives fundamentally important predictions that can be experimentally verified. The prospect of treating the microbiome of the digestive organs is shown — elimina

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16

Robinson, Grant. The demand for and production of a new technique for predicting expenditure patterns of construction projects for estate services directorate of the D.H.S.S. (Northern Ireland). The Author], 1994.

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17

Cohen, Maxime C., Paul-Emile Gras, Arthur Pentecoste, and Renyu Zhang. Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics. Springer International Publishing AG, 2022.

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Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics. Springer International Publishing AG, 2022.

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Jin, XiaoLong, Anuradha Tomar, and Prerna Gaur. Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting. Springer, 2023.

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Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting. Springer, 2024.

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21

Demographic Models for Projections of Social Sector Demand (Poblacion Y Desarrollo). United Nations Pubns, 2006.

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22

Manousakis, Alexandros I. The use of neural networks to help facilitate the accurate prediction of electricity demand on Crete. 2000.

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23

White, Stephen J. Responsibility and the Demands of Morality. Edited by Kyla Ebels-Duggan and Berislav Marušić. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780191997273.001.0001.

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Abstract Stephen J. White was developing a comprehensive view of responsibility and its limits when his life was tragically cut short. This volume contains his collected papers. White’s view of responsibility spans across ethics, action theory, and interpersonal epistemology. Its core idea is that to be responsible for doing or believing something is to be answerable for why one has done it or why one believes it. And to be responsible for a state of affairs is to be answerable for why things are that way, rather than some other way. White deploys this conception of responsibility to illuminat

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Fitzpatrick, Timothy William. Toward understanding and predicting the performance of demand release disinfectants. 1986.

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25

Permut, Howard, Illinois Regional Transportation Author, and Inwon Lee. Methods of Predicting Local Demand for New Rapid Transit Services. Creative Media Partners, LLC, 2018.

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Jong, Gerard de. Expedite: Expert-System Based Predictions of Demand for Internal Transport in Europe. Rand Corporation, 2003.

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Buchman, Tim, and Michael Sterling. Staffing models in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0002.

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Three decades ago a critical care provider surplus was forecast. Projections changed at the turn of the century when the Committee on Manpower of Pulmonary and Critical Care Societies (COMPACCS) report was issued. Demographers, statisticians, and clinicians used population, patient, hospital, and provider data to forecast that the supply for critical care physicians would not keep pace with demand, and that the shortfall would be around 22% by 2020, climbing to 35% by 2030. In 2006, the Health Resources and Services Administration (HRSA) similarly forecast a significant shortage of intensivist

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Green, Jason, Dimitar Antov, and Mark Henneman. Optimizing Growth: Predictive and Profitable Strategies to Understand Demand and Outsmart Your Competitors. Wiley & Sons, Incorporated, John, 2018.

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Green, Jason, Dimitar Antov, and Mark Henneman. Optimizing Growth: Predictive and Profitable Strategies to Understand Demand and Outsmart Your Competitors. Wiley & Sons, Incorporated, John, 2018.

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author, Henneman Mark 1961, and Antov Dimitar 1978 author, eds. Optimizing growth: Predictive and profitable strategies to understand demand and outsmart your competitors. 2018.

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31

Chase, Charles W. Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy. Wiley & Sons, Incorporated, John, 2021.

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Chase, Charles W. Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy. Wiley & Sons, Incorporated, John, 2021.

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Chase, Charles W. Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy. Wiley & Sons, Incorporated, John, 2021.

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Chase, Charles W. Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy. Wiley & Sons, Limited, John, 2021.

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35

Stone, Emily. Do Women Compete for Mates When Men Are Scarce? Edited by Maryanne L. Fisher. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199376377.013.16.

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This review explores whether and how imbalances in the number of men and women—the sex ratio—affects mating competition. I evaluate the available evidence against two hypotheses: a mating supply and demand hypothesis, which predicts mate competition to increase when mates are scarce, and predictions from a ‘faithful as your options’ hypothesis, which suggests mate competition should increase with a surplus of mates because the returns to mating effort are greatest. Men’s mating effort consistently increased with a surplus of mates, supporting the ‘faithful as your options’ hypothesis, but resu

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36

Guerre et paix au XXIe siècle: Comprendre le monde de demain. Bourin, 2010.

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Stegenga, Jacob. Drug Regulation and the Inductive Risk Calculus. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190467715.003.0002.

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The drug approval process is fraught with inductive risk. Regulators must make a prediction about whether or not an experimental drug will be effective and safe. Such inductive risk has important practical consequences, and so non-epistemic values about the importance of these consequences impact the regulatory decisions. To balance the demands of the non-epistemic values, regulators must perform an “inductive risk calculus.” In the American context, this inductive risk calculus is not well-managed. For a variety of fine-grained methodological reasons, the epistemic standard with which the FDA

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Mills, Gary H. Pulmonary disease and anaesthesia. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0082.

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Respiratory adverse events are the commonest complications after anaesthesia and have profound implications for the recovery of the patient and their subsequent health. Outcome prediction related to respiratory disease and complications is vital when determining the risk:benefit balance of surgery and providing informed consent. Surgery produces an inflammatory response and pain, which affects the respiratory system. Anaesthesia produces atelectasis, decreases the drive to breathe, and causes muscle weakness. As the respiratory system ages, closing capacity increases and airway closure becomes

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39

Conti-Brown, Peter. Politics, Independence, and Retirees. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198827443.003.0002.

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Until recently, it was widely believed that central banks must protect people from their own worst instincts: the populace demands easy money and low interest rates, and a politically sensitive representative class will give it to them. Central banks have the responsibility of resolving this time inconsistency problem by protecting the long-term value of the currency even against the short term demands of politics. Yet the financial crisis of 2008 and the 2016 election have changed this narrative. This chapter explores how this new political economy of central banking, in the face of long-term

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Determining Design Energy Targets - Predicting Energy Demand at Design Stage - Sub-metering - Monitoring Feedback from Designers and Occupiers (Design & Maintenance Guide: 17). The Stationery Office Books (Agencies), 1999.

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International Conference on Gears 2017. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783181022948.

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Talking about the design of modern high-performance power train applications, one of the essential components to focus on are the gears. Gears convert torque and speed in a very wide power range, at low cost and with minimal losses and noise emission. However, the demands regarding cost, power density, NVH-behavior and efficiency are steadily increasing. Demands, which can only be met using modern gearing technologies that allow combining individual materials, heat treatment and manufacturing processes. Particularly in the industrial sector, the requirements for the reliability and service lif

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Quel Sénégal pour demain?: Une vision chrétienne et citoyenne. L'Harmattan, 2012.

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Martich, Daniel, and Jody Cervenak. Integration of information technology in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0007.

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As we look to the evolving health care industry with improved care quality, health outcomes, and cost parameters, the demands of the critical care environment require a transformation. Technology, process, and people are at the centre of this transformation. The power is in the knowledge that can be achieved and the process improvements that can be made through automation. Five major areas of technology evolution include workflow automation, information exchange, clinical decision support, and predictive modelling, remote monitoring, and data analytics. If designed properly, technology can res

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Jackson, Natalie. The Rise of Poll Aggregation and Election Forecasting. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.28.

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This chapter discusses (1) the development of election poll aggregation and its use in popular election forecasts, (2) the technical and statistical demands of using polls this way, and (3) the controversies surrounding aggregation and forecasting. The first section covers how increases in publicly released polls resulted in poll averaging and aggregation websites becoming popular in the early 2000s, then how election forecasting using polls as the biggest predictors became popular in the media. The second section discusses how polls are aggregated and how aggregations vary. The focus then tur

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Croissant, Aurel, David Kuehn, and Tanja Eschenauer-Engler. Dictators' Endgames. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198916673.001.0001.

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Abstract This book examines the political role of the military in “dictators’ endgames”: large-scale nonviolent mass protests in autocracies that demand regime change or the regime leader’s removal from office. It addresses the question why some militaries defend an embattled autocrat by violently cracking down on the protestors, whereas others side with the opposition or decide to stage a coup d’état. The book introduces a systematic definition and operationalization of the “dictator’s endgame” as a situation of non-violent mass mobilization, in which the dictator’s political survival depends

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Frid, Christopher L. J., and Bryony A. Caswell. The future ocean. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198726289.003.0008.

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This chapter considers the future ocean: how it will be used by humanity, the threats from marine pollution and other synergistic human pressures. By 2050, the global population will have doubled in less than 100 years. Thus, more food, energy, transportation and waste disposal will be required. Increasing demands will be placed on ecosystems and their natural resilience will be tested to the limit. The oceans are complex dynamic systems and predicting their future state is difficult. Adaptation to these changes will require a robust scientific understanding of human impacts, their nature and

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Cartwright, Nancy. Causal Powers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198796572.003.0002.

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Hume urged that there is no difference between the obtaining of a power and its exercise; others, that there is no difference between its exercise and the result that occurs. This chapter reinforces the reasons, based in the success of the analytic method in a variety of sciences and often in daily life, for taking exercisings to be real and separate from both the obtaining (along per-haps with triggering if needed) of a power and the overall result. If exercisings are real, the chapter urges, then the Mill-Ramsey-Lewis view of laws is in trouble, at least if laws are going to account for much

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Cruickshank, Steven. Mathematical models and anaesthesia. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0027.

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The use of mathematics in medicine is not as widespread as it might be. While professional engineers are instructed in a wide variety of mathematical techniques during their training in preparation for their daily practice, tradition and the demands of other subjects mean that doctors give little attention to numerical matters in their education. A smattering of statistical concepts is typically the main mathematical field that we apply to medicine. The concept of the mathematical model is important and indeed familiar; personal finance, route planning, home decorating, and domestic projects a

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