The Handbook Of Forecasting A Manager S Guide
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The Handbook of Forecasting
Author: Spyros G. Makridakis
language: en
Publisher: Wiley-Interscience
Release Date: 1987-04-03
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.
An Introduction to Time Series Analysis and Forecasting
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques. - Describes principal approaches to time series analysis and forecasting - Presents examples from public opinion research, policy analysis, political science, economics, and sociology - Math level pitched to general social science usage - Glossary makes the material accessible for readers at all levels
Managing the Future
Author: Haridimos Tsoukas
language: en
Publisher: John Wiley & Sons
Release Date: 2009-02-09
In this book, leading authors explore ways in which organizationscan develop their ability to manage the future. An exploration of the ways in which organizations can developtheir ability to manage the future. Consists of ten papers written by authors from both sides ofthe Atlantic and from Asia, all of whom are distinguished scholarsin the fields of strategy or organizational learning. Addresses key questions about how organizational foresight canbe conceptualized and developed, and the extent to which it ispossible. The papers are prefaced by a foreword from Spyros Makridakisand an introduction from the editors. Helps to shape a new research agenda, and so will be ofinterest to academics, as well as to students andpractitioners.