The Handbook Of Forecasting
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Author | : G. Elliott |
Publisher | : Elsevier |
Total Pages | : 1071 |
Release | : 2006-07-14 |
Genre | : Business & Economics |
ISBN | : 0444513957 |
Section headings in this handbook include: 'Forecasting Methodology; 'Forecasting Models'; 'Forecasting with Different Data Structures'; and 'Applications of Forecasting Methods.'.
Author | : Spyros G. Makridakis |
Publisher | : Wiley-Interscience |
Total Pages | : 666 |
Release | : 1987-04-03 |
Genre | : Business & Economics |
ISBN | : |
Role and application of forecasting in organizations; Introduction to management forecasting; Sales forecasting requirements; Forecasting requirements for operations planning and control; Capacity planning forecasting requirements; Financial forecasting; Forecasting and strategic planning; Forecasting in the electric utility industry; State and local government revenue forecasting; Population forecasting; Forecasting: the issues; Approaches to forecasting; Smoothing methods for short-term planning and control; A practical overview of arima models for time series forecasting; Decomposition methods for medium term planning annnd budgeting; Econometric methods for managerial applications; Judgemtal and bayesian forecasting; An integrated approach to medium andlong term forecasting: the marketing mix system; Forecasting challenges; Forecasting and the environment: the challenges of rapid change; Price forecasting using experience curves and the product life-cycle concept; Life cycle forecasting; Forecasting recessions; Forecasting macroeconomic variables: an eclectic approach; ; Managing the forecasting functions; Forecasting and planning: an evaluation; Integrating forecasting and decision making; The forecasting audit; The future of forecasting.
Author | : Rob J Hyndman |
Publisher | : OTexts |
Total Pages | : 380 |
Release | : 2018-05-08 |
Genre | : Business & Economics |
ISBN | : 0987507117 |
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Author | : J.S. Armstrong |
Publisher | : Springer Science & Business Media |
Total Pages | : 880 |
Release | : 2001 |
Genre | : Business & Economics |
ISBN | : 9780792374015 |
This handbook summarises knowledge from experts and empirical studies. It provides guidelines that can be applied in fields such as economics, sociology, and psychology. Includes a comprehensive forecasting dictionary.
Author | : Michael P. Clements |
Publisher | : OUP USA |
Total Pages | : 732 |
Release | : 2011-07-08 |
Genre | : Business & Economics |
ISBN | : 0195398645 |
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.
Author | : Graham Elliott |
Publisher | : Princeton University Press |
Total Pages | : 567 |
Release | : 2016-04-05 |
Genre | : Business & Economics |
ISBN | : 1400880890 |
A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike
Author | : Jae K. Shim |
Publisher | : Prentice Hall |
Total Pages | : 468 |
Release | : 1988 |
Genre | : Business & Economics |
ISBN | : |
Ready-to-use forecasting and modeling tools to read the future under any given set of assumptions. Manipulate variables such as revenues, expenses, cash flow and earnings while improving the quality of decision-making and reduces risk of error.
Author | : Martin Raymond |
Publisher | : Laurence King Publishing |
Total Pages | : 240 |
Release | : 2019-07-29 |
Genre | : Business & Economics |
ISBN | : 1786276615 |
Sharp, in-depth and highly visual, this is the fully revised textbook and teaching aid for students, tutors and in-house learning and development teams keen to know more about the world of trends, forecasting, innovation thinking and strategic foresight. Designed and written as a practical ‘how to’ guide for design, marketing, brand and innovation studies students, updated chapters include the latest research and industry case studies on superforecasting, three horizon scanning, scenario planning, foresight framework building and the creation and running of your own trend and innovation sprints. Students also have a chance to mix and merge the worlds of forecasting with future studies as we look at how techniques and processes such as the Delphi Method, cross-impact analysis, futures wheels and backcasting are being used by next generation forecasters to expand the ways they map, assess and define the needs and behaviours of tomorrow’s consumers.
Author | : Michael P. Niemira |
Publisher | : John Wiley & Sons |
Total Pages | : 545 |
Release | : 1994-03-31 |
Genre | : Business & Economics |
ISBN | : 0471845442 |
Gain the knowledge and skills that can help you exploit instability. No book can help you construct foolproof forecasting systems that will ensure you'll accurately predict economic turning points every time. But with Niemira and Klein's Forecasting Financial and Economic Cycles on hand, you'll be able to significantly strengthen your ability to measure, monitor, and forecast important fluctuations. Part history, it provides you with essential background material on the characteristics and causes of economic volatility. It offers accessible coverage of the classical business cycle, the five basic types of economic cycles as determined by leading economists, and evolving ideas on the forces driving instability—ranging from simple unicausal theories, more complex Keynesian theory, to new classical macroeconomics. In addition, its concise review of America's economic past highlights the lessons that can be learned from the various cycles experienced since shortly before World War II. Part handbook, Forecasting Financial and Economic Cycles presents the full spectrum of statistical techniques used to measure cycles, trends, seasonal patterns, and other vital changes, offering you step-by-step guidance on applying a specific method and detailing its uses and limitations. It goes on to show how youcan adapt particular techniques to assess, track, and predict: Industry cycles—including an objective, tailor-made forecasting tool Regional business cycles—including a survey of regional indicators International business cycles—with an international business cycle chronology Inflation cycles—plus "12 little-known facts" about this complex cycle Financial cycles—covering credit, monetary, and interest rate cycles Stock market cycles—with advice on achieving more disciplined trading Based on outstanding scholarship and years of practical experience, Forecasting Financial and Economic Cycles will serve as an invaluable tool for practitioners like you whose decision-making—and profit margin—depend on accurately assessing today's often uncertain economic climate. "Forecasting Financialand Economic Cycles provides a lively survey of the many ways that cyclical economic activity has been dissected and analyzed. With this book, an astute reader may even be able to anticipate the next cyclical turn." —Samuel D. Kahan, Chief Economist Fuji Securities, Inc. "The definitive book on the most important and enduringfeature of an often mist-bound economic landscape: the business cycle." —Alfred L. Malabre, Jr., Economics Editor, The Wall Street,Journal "Niemira and Klein cover both the theory of economic cyclesand methods for forecasting them. They provide one of the most comprehensive and current reviews of academic studies of economic cycles to be found anywhere." —Anthony F. Herbst, Professor of Finance, The University of Texas at El Paso "This book succeeds as a comprehensive, balanced, and accessible treatment of fluctuations in economic and financial activity. It should prove useful to all those in industry and finance who wish to understand and analyze the trends and changes in the modern dynamic economy." —Victor Zarnowitz, Professor Emeritus of Economics and Finance, University of Chicago
Author | : John E. Boylan |
Publisher | : John Wiley & Sons |
Total Pages | : 403 |
Release | : 2021-06-02 |
Genre | : Medical |
ISBN | : 1119135303 |
INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.