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Paperback or Softback. Condition: New. Multiple Solution Methods for Teaching Science in the Classroom: Improving Quantitative Problem Solving Using Dimensional Analysis and Proportional Re. Book.
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Published by Taylor & Francis Ltd, 2017
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Taschenbuch. Condition: Neu. Neuware - Quantitative Methods for Second Language Research is an introduction to quantitative data analysis methods used in language assessment and second language learning and assessment research, for those with little to no background in statistics. The authors present accessible yet rigorous coverage of key problems in these areas and of the quantitative research methods that may help to address such issues. This book supplies students and beginning researchers with a firmer knowledge of quantitative data analysis methods to enhance their practical skills in the fields of language assessment and second language acquisition and research.
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Published by Routledge 2016-04-22, 2016
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Taschenbuch. Condition: Neu. Quantitative Problem Solving Methods in the Airline Industry | A Modeling Methodology Handbook | Cynthia Barnhart (u. a.) | Taschenbuch | x | Englisch | 2014 | Springer | EAN 9781489988560 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations. In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research. There are several common themes in current airline Operations Research efforts. First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions. Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past. Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions. Airlines now recognize the need to develop 'robust' solutions that effectively cover many possible outcomes, not just the best case, 'blue sky' scenario. Individual chapters cover:Customer Modeling methodologies, including current and emerging applications.Airline Planning and Schedule Development, with a look at many remaining open research questions. Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research.Airline Distribution -- a comprehensive overview of this newly emerging area.Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations. Airline Operations, with consideration of recent advances and successes in solving the airline operations problem. Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.
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Published by Springer US, Springer New York Dez 2011, 2011
ISBN 10: 1461416078 ISBN 13: 9781461416074
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Buch. Condition: Neu. Neuware -This book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations. In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research. There are several common themes in current airline Operations Research efforts. First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions. Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past. Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions. Airlines now recognize the need to develop ¿robust¿ solutions that effectively cover many possible outcomes, not just the best case, ¿blue sky¿ scenario.Individual chapters cover:Customer Modeling methodologies, including current and emerging applications.Airline Planning and Schedule Development, with a look at many remaining open research questions.Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research.Airline Distribution -- a comprehensive overview of this newly emerging area.Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations.Airline Operations, with consideration of recent advances and successes in solving the airline operations problem.Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews Operations Research theory, applications and practice in seven major areas of airline planning and operations. In each area, a team of academic and industry experts provides an overview of the business and technical landscape, a view of current best practices, a summary of open research questions and suggestions for relevant future research. There are several common themes in current airline Operations Research efforts. First is a growing focus on the customer in terms of: 1) what they want; 2) what they are willing to pay for services; and 3) how they are impacted by planning, marketing and operational decisions. Second, as algorithms improve and computing power increases, the scope of modeling applications expands, often re-integrating processes that had been broken into smaller parts in order to solve them in the past. Finally, there is a growing awareness of the uncertainty in many airline planning and operational processes and decisions. Airlines now recognize the need to develop 'robust' solutions that effectively cover many possible outcomes, not just the best case, 'blue sky' scenario. Individual chapters cover:Customer Modeling methodologies, including current and emerging applications.Airline Planning and Schedule Development, with a look at many remaining open research questions. Revenue Management, including a view of current business and technical landscapes, as well as suggested areas for future research.Airline Distribution -- a comprehensive overview of this newly emerging area.Crew Management Information Systems, including a review of recent algorithmic advances, as well as the development of information systems that facilitate the integration of crew management modeling with airline planning and operations. Airline Operations, with consideration of recent advances and successes in solving the airline operations problem. Air Traffic Flow Management, including the modeling environment and opportunities for both Air Traffic Flow Management and the airlines.