A Practical Application of Some Statistical Sales Forecasting Techniques PDF Download
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Author: Stephen J. Derus
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
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Book Description
Author: Stephen J. Derus
Publisher:
ISBN:
Category :
Languages : en
Pages : 134
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Book Description
Author: Robert S. Reichard
Publisher:
ISBN:
Category : Sales forecasting
Languages : en
Pages : 296
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Book Description
Author: Bovas Abraham
Publisher: John Wiley & Sons
ISBN: 0470317299
Category : Mathematics
Languages : en
Pages : 474
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Book Description
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book, it must be said, lives up to the words on its advertising cover: 'Bridging the gap between introductory, descriptive approaches and highly advanced theoretical treatises, it provides a practical, intermediate level discussion of a variety of forecasting tools, and explains how they relate to one another, both in theory and practice.' It does just that!" -Journal of the Royal Statistical Society "A well-written work that deals with statistical methods and models that can be used to produce short-term forecasts, this book has wide-ranging applications. It could be used in the context of a study of regression, forecasting, and time series analysis by PhD students; or to support a concentration in quantitative methods for MBA students; or as a work in applied statistics for advanced undergraduates." -Choice Statistical Methods for Forecasting is a comprehensive, readable treatment of statistical methods and models used to produce short-term forecasts. The interconnections between the forecasting models and methods are thoroughly explained, and the gap between theory and practice is successfully bridged. Special topics are discussed, such as transfer function modeling; Kalman filtering; state space models; Bayesian forecasting; and methods for forecast evaluation, comparison, and control. The book provides time series, autocorrelation, and partial autocorrelation plots, as well as examples and exercises using real data. Statistical Methods for Forecasting serves as an outstanding textbook for advanced undergraduate and graduate courses in statistics, business, engineering, and the social sciences, as well as a working reference for professionals in business, industry, and government.
Author: Michael Gilliland
Publisher: John Wiley & Sons
ISBN: 1119228298
Category : Business & Economics
Languages : en
Pages : 417
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Book Description
A comprehensive collection of the field's most provocative, influential new work Business Forecasting compiles some of the field's important and influential literature into a single, comprehensive reference for forecast modeling and process improvement. It is packed with provocative ideas from forecasting researchers and practitioners, on topics including accuracy metrics, benchmarking, modeling of problem data, and overcoming dysfunctional behaviors. Its coverage includes often-overlooked issues at the forefront of research, such as uncertainty, randomness, and forecastability, as well as emerging areas like data mining for forecasting. The articles present critical analysis of current practices and consideration of new ideas. With a mix of formal, rigorous pieces and brief introductory chapters, the book provides practitioners with a comprehensive examination of the current state of the business forecasting field. Forecasting performance is ultimately limited by the 'forecastability' of the data. Yet failing to recognize this, many organizations continue to squander resources pursuing unachievable levels of accuracy. This book provides a wealth of ideas for improving all aspects of the process, including the avoidance of wasted efforts that fail to improve (or even harm) forecast accuracy. Analyzes the most prominent issues in business forecasting Investigates emerging approaches and new methods of analysis Combines forecasts to improve accuracy Utilizes Forecast Value Added to identify process inefficiency The business environment is evolving, and forecasting methods must evolve alongside it. This compilation delivers an array of new tools and research that can enable more efficient processes and more accurate results. Business Forecasting provides an expert's-eye view of the field's latest developments to help you achieve your desired business outcomes.
Author: Gerard Assey
Publisher: Gerard Assey
ISBN:
Category : Business & Economics
Languages : en
Pages : 103
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Book Description
"Sales Forecasting: A Practical & Proven Guide to Strategic Sales Forecasting" navigates the intricate landscape of sales forecasting, providing a holistic understanding of its intricacies, contemporary significance, and practical applications. From the responsibilities of Sales Managers to the benefits of accurate predictions for strategic planning, resource allocation, and risk mitigation, this guide equips readers with the tools to excel in the dynamic world of business strategy. Real-life case studies, interactive exercises, and workshops bring theoretical concepts to life, fostering active engagement. With a focus on diverse methods, techniques, and addressing common challenges, the book serves as a comprehensive toolkit for refining forecasting strategies. The conclusion encourages continuous learning and adaptation, ensuring readers are poised to navigate the ever-evolving realm of sales forecasting with confidence and mastery.
Author: Dr. Vishal Thakur
Publisher: Dr Vishal Thakur
ISBN: 8119477510
Category : Business & Economics
Languages : en
Pages : 111
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Book Description
Welcome to the course "Practical Applications of Business Statistics: Techniques and Insights." Making well-informed decisions is essential in the fast-paced corporate world of today. The goal of this book is to close the knowledge gap between advanced statistical ideas and their useful application in actual business situations. This book offers a thorough approach to comprehending and utilising statistical techniques in many business contexts, regardless of experience level. Statistical techniques are essential for achieving success and profitability in a variety of contexts, from assessing market trends to streamlining production procedures. We will look at real-world examples and case studies in this book to show how statistical analysis may be used to address typical business issues. You'll discover how to decipher data, spot trends, and come to well-informed conclusions based on logic rather than gut feeling. You don't need to know anything about statistics to use this book. Every idea is described simply, supported by illustrative examples and detailed directions for application. The key to unleashing the potential of data-driven decision-making is to consult "Practical Applications of Business Statistics" whether you want to sharpen your analytical or business acumen. Together, let's take this trip to uncover the business success-boosting insights that statistics have to offer.
Author: American Management Association. Marketing Division
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 164
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Book Description
Author: Professor of International Relations William Wallace
Publisher:
ISBN: 9781258844776
Category :
Languages : en
Pages : 132
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Book Description
This is a new release of the original 1927 edition.
Author: Galit Shmueli
Publisher: Axelrod Schnall Publishers
ISBN: 0997847948
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: Chaman L. Jain & Jack Malehorn
Publisher: Institute of Business Forec
ISBN: 9780932126757
Category : Business forecasting
Languages : en
Pages : 516
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Book Description
