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Author: Leonard W. Snellman
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages :
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Book Description
Author: Leonard W. Snellman
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages :
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Book Description
Author: Galit Shmueli
Publisher: Axelrod Schnall Publishers
ISBN:
Category : Business & Economics
Languages : en
Pages : 210
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Book Description
Practical Time Series Forecasting: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods to develop effective forecasting solutions that extract business value from time-series data. Featuring improved organization and new material, the Second Edition also includes: - Popular forecasting methods including smoothing algorithms, regression models, and neural networks - A practical approach to evaluating the performance of forecasting solutions - A business-analytics exposition focused on linking time-series forecasting to business goals - Guided cases for integrating the acquired knowledge using real data - End-of-chapter problems to facilitate active learning - A companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies) - Globally-available textbook, available in both softcover and Kindle formats Practical Time Series Forecasting: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management. For more information, visit forecastingbook.com
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119782597
Category : Business & Economics
Languages : en
Pages : 432
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Book Description
Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.
Author: Galit Shmueli
Publisher: Axelrod Schnall Publishers
ISBN:
Category : Business & Economics
Languages : en
Pages : 250
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Book Description
Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. This edition features the R fable package, full color, enhanced organization, and new material. It includes: • Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles • A practical approach to evaluating the performance of forecasting solutions • A business-analytics exposition focused on linking time-series forecasting to business goals • Guided cases for integrating the acquired knowledge using real data • End-of-chapter problems to facilitate active learning • Data, R code, and instructor materials on companion website • Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management.
Author: Stephen A. DeLurgio
Publisher: McGraw-Hill Professional Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
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Book Description
Author: H. Stern
Publisher:
ISBN: 9780644007214
Category : Statistical weather forecasting
Languages : en
Pages : 182
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Book Description
Author: Harvey Stern
Publisher:
ISBN:
Category : Weather forecasting
Languages : en
Pages : 360
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 9780309087315
Category : Science
Languages : en
Pages : 72
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Book Description
Accurate prediction of convective storms 2- to 6-hours in advance is critical to selecting air traffic routes with minimal weather delays or diversions. This report summarizes the discussions of a workshop to explore present convective weather forecasting skill, strategies for improving that skill, ways to verify forecasts are accurate, and how to make forecasts useful to air traffic controllers, airline dispatchers, and pilots.
Author: Brian C. Twiss
Publisher: Institution of Electrical Engineers
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 248
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Book Description
This book is written for all technologists and engineers. To those unfamiliar with forecasting it may appear a somewhat esoteric activity with little relevance to the everyday technical concerns of the reader. This is not so. The aim of this book is to show how forecasting can improve the quality of technical decision making. Furthermore, this can be accomplished without the use of highly sophisticated techniques which can only be applied by specialists. The approaches described in this book can be easily understood and used by all its readers.
Author: Donald A. Chisholm
Publisher:
ISBN:
Category : Automatic meteorological stations
Languages : en
Pages : 90
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Book Description
A microprocessor-based automated airfield weather observing and forecasting system called MAWS (Modular Automated Weather System) was developed to demonstrate the feasibility of modernizing many of the observing and forecasting functions performed in operational base weather stations. Scott Air Force Base, Illinois, was chosen as the demonstration site and operations were conducted from January 1977 through January 1979. Weather sensors at five observation sites around the airfields were polled several times each minute, the data transmitted over commercial, voice-grade telephone lines to a central supervisory microprocessor where the data were suitably collated, averaged and formatted for display on alpha-numeric display devices at key locations and for magnetic tape archiving for post analysis. The demonstration confirmed that modernized weather support can be largely achieved with state-of-the-art, commercially available hardware/software. Such a system would be compatible with other automation efforts in civilian weather services and other C-cubed efforts in the DOD. The advantage of spatially and temporally detailed weather information in marginal and adverse situations was documented. Sensor siting considerations were addressed in relation to specific weather elements and observational requirements. The contributions of automated met watch procedures and short-range guidance forecasts of RVR landing minima were demonstrated. Feedback on system performance and acceptability was obtained from cognizant AWS offices.
