Author: J. Holton Wilson
Publisher:
ISBN: 9780072312669
Category : Business forecasting
Languages : en
Pages : 0

View

Book Description

Author: Kenneth D. Lawrence
Publisher: Industrial Press Inc.
ISBN: 9780831133351
Category : Business & Economics
Languages : en
Pages : 212

View

Book Description
Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series-moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used both as a primary text and as a supplementary text. Highlights the use of Excel screen shots, data tables, and graphs. Features Full Scale Use of Excel in Forecasting without the Use of Specialized Forecast Packages Includes Excel templates. Emphasizes the practical application of forecasting. Provides coverage of Special Forecasting, including New Product Forecasting, Network Models Forecasting, Links to Input/Output Modeling, and Combination of Forecasting.

Author: Gloria González-Rivera
Publisher: Routledge
ISBN: 1315510405
Category : Business & Economics
Languages : en
Pages : 511

View

Book Description
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics. A student-friendly approach to understanding forecasting. Knowledge of forecasting methods is among the most demanded qualifications for professional economists, and business people working in either the private or public sectors of the economy. The general aim of this textbook is to carefully develop sophisticated professionals, who are able to critically analyze time series data and forecasting reports because they have experienced the merits and shortcomings of forecasting practice.

Author: Colin Lewis
Publisher: Routledge
ISBN: 113634683X
Category : Business & Economics
Languages : en
Pages : 172

View

Book Description
This practical book covers the forecasting- and inventory control methods used in commercial, retail and manufacturing companies. Colin Lewis explains the theory and practice of current demand forecasting methods, the links between forecasts produced as a result of analysing demand data and the various methods by which this information, together with cost information on stocked items, is used to establish the controlling parameters of the most commonly used inventory control systems. The demand forecasting section of the book concentrates on the family of short-term forecasting models based on the exponentially weighted average and its many variants and also a group of medium-term forecasting models based on a time series, curve fitting approach. The inventory control sections investigate the re-order level policy and re-order cycle policy and indicate how these two processes can be operated at minimum cost while offering a high level of customer service.

Author: J. Holton Wilson
Publisher: McGraw Hill
ISBN: 0077172027
Category : Business & Economics
Languages : en
Pages : 527

View

Book Description
The Sixth Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software—Forecast X. This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Wilson and Keating deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum. This Sixth Edition includes Forecast X software updated for Excel 2007 and Vista. Forecast X is the most comprehensive software tool available in this market and the new version is also backwards compatible for XP Excel 2003 systems. This Excel-based tool effectively uses wizards and many tools to make forecasting easy and understandable.

Author: Joseph H. Ellis
Publisher: Harvard Business Review Press
ISBN: 1633691225
Category : Business & Economics
Languages : en
Pages : 301

View

Book Description
Economic and stock market cycles affect companies in every industry. Unfortunately, a confusing array of anecdotal and conflicting indicators often renders it impossible for managers and investors to see where the economy is heading in time to take corrective action. Now, a 35-year Wall Street veteran unveils a new forecasting method to help managers and investors understand and predict the economic cycles that control their businesses and financial fates. In Ahead of the Curve, Joseph H. Ellis argues that the problem with current forecasting models lies not in the data, but rather in the lack of a clear framework for putting the data in context and reading it correctly. The book explains critical economic indicators in nontechnical language, identifies and documents the recurring cause-and-effect relationships that consistently predict turning points in the economy, and provides the tools managers and investors need to position themselves ahead of cyclical upturns and downturns. Economic events are not as random and unpredictable as they seem. This book helps readers recognize and react to signs of change that their rivals don't see—and win a sizeable competitive advantage. Joseph H. Ellis was a partner at Goldman Sachs and was ranked for 18 consecutive years by Institutional Investor magazine as Wall Street's No.1 retail industry analyst.

Author: Mark A. Moon
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501505939
Category : Business & Economics
Languages : en
Pages : 236

View

Book Description
Supply chain professionals: master pioneering techniques for integrating demand and supply, and create demand forecasts that are far more accurate and useful! In Demand and Supply Integration, Dr. Mark Moon presents the specific design characteristics of a world-class demand forecasting management process, showing how to effectively integrate demand forecasting within a comprehensive Demand and Supply Integration (DSI) process. Writing for supply chain professionals in any business, government agency, or military procurement organization, Moon explains what DSI is, how it differs from approaches such as S&OP, and how to recognize the symptoms of failures to sufficiently integrate demand and supply. He outlines the key characteristics of successful DSI implementations, shows how to approach Demand Forecasting as a management process, and guides you through understanding, selecting, and applying the best available qualitative and quantitative forecasting techniques. You'll learn how to thoroughly reflect market intelligence in your forecasts; measure your forecasting performance; implement state-of-the-art demand forecasting systems; manage Demand Reviews, and much more.

Author: Amir D. Aczel
Publisher: Irwin Professional Pub
ISBN: 9780073373607
Category : Business & Economics
Languages : en
Pages : 804

View

Book Description

Author: A. Reza Hoshmand
Publisher: Routledge
ISBN: 1135257132
Category : Business & Economics
Languages : en
Pages : 382

View

Book Description
This book emphasizes the rationale, application, and interpretation of the most commonly used forecasting techniques in business.

Author: SAS Institute
Publisher: Sas Inst
ISBN: 9781555447632
Category : Computers
Languages : en
Pages : 404

View

Book Description
Numerous step-by-step examples show you--the economist, business forecaster, student, or researcher--how to use SAS to generate forecasts for a variety of business and economic data. Examples are based on both time series models and econometric models. You'll learn how to use SAS to forecast time series data using Box-Jenkins ARIMA methodology; develop and forecast transfer functions and intervention models; fit and forecast regression models with autocorrelated, heteroskedastic, and ARCH-GARCH error terms; estimate nonlinear regression models; create forecast confidence limits using Monte Carlo simulation; and more! The main focus of the book is on the code-based procedures in SAS/ETS software, but this book also provides an introduction to the interactive Time Series Forecasting System, and it shows how to plot data and forecasts with SAS/GRAPH software.