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Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. 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. Examples use R with many data sets taken from the authors' own consulting experience. In this second edition, all chapters have been updated to cover the latest research and forecasting methods. Three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues. The latest version of the book is freely available online at http://OTexts.com/fpp2.

La Crosse Technology's latest Wi-Fi Multi-Day Forecast Station is a feature-packed device, designed to keep you updated on changing forecasts as well as home conditions. Its dynamic HD color display showcases an all-new 3-day forecast layout to provide the latest AccuWeather high and low predictions, weather forecasts, and chance of precipitation values for the coming days. Packaged with an outdoor Temperature & Humidity Sensor, the station also offers numerous add-on opportunities to conveniently monitor other data points such as rainfall, wind, or even your next backyard barbeque! Combined with our La Crosse View app for mobile monitoring, alerts, and history trends the all-new Wi-Fi Multi-Day Forecast Station is sure to be a welcome addition to any home.

New Book. Shipped from UK. Established seller since 2000.

Known from its last editions as the "Bible of Forecasting", the third edition of this authoritative text has adopted a new approach-one that is as new as the latest trends in the field: "Explaining the past is not adequate for predicting the future". In other words, accurate forecasting requires more than just the fitting of models to historical data. Inside, readers will find the latest techniques used by managers in business today, discover the importance of forecasting and learn how it's accomplished. And readers will develop the necessary skills to meet the increased demand for thoughtful and realistic forecasts.

Describes a method for analyzing the forces that influence election results and predicting the outcome of elections for the president of the United States

Describes a method for analyzing the forces that influence election results and predicting the outcome of elections for the president of the United States

David Hendry is one of the world's leading econometricians, and in this major new work he and Michael Clements provide an extended formal analysis of economic forecasting with econometric models: their analysis builds in many of the features of the real world that are often overlooked in traditional, textbook analyses of forecasting. Consequently, Clements and Hendry are able to suggest ways in which existing forecasting practices can be improved, as well as providing a rationale for some of the habitual practices of forecasters that have hitherto lacked a scientific foundation.

Forecasting Urban Travel presents in a non-mathematical way the evolution of methods, models and theories underpinning travel forecasts and policy analysis, from the early urban transportation studies of the 1950s to current applications throughout the urbanized world. From original documents, correspondence and interviews, especially from the United States and the United Kingdom, the authors seek to capture the spirit and problems faced in different eras, as changing information requirements, computing technology and planning objectives conditioned the nature of forecasts.With over 1000 references, the book charts the key ideas relating to land use, travel demand, network costs and flows, and their interactions, from both research and practice to the present states of the art. The authors examine the widening scope and variety of models for analyzing and forecasting personal travel and goods movement, identifying contributions from economics, psychology, geography, regional science, operational research, transportation engineering and mathematics. Finally, they offer their views of the future directions and requirements facing the field. Offering a historical presentation of urban forecasting models covering six decades, accessible to a wide range of students, researchers and planners, this book will be of great interest to undergraduate and graduate students in transportation courses in civil engineering, economics, geography, regional science and planning. Through its discussion of critiques and missed opportunities as travel demand, network and land- use transportation models evolved, the book will also serve as a valuable resource for teachers, academic researchers and practitioners in travel behaviour and forecasting.

This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics. Its key features are: gives a complete description, with applications, of the Box-Jenkins single series modeling techniques; extends the Box-Jenkins techniques to multivariate cases; compares forecasts from purely statistical and econometric models; pays careful attention to such problems as how to evaluate and compare forecasts; covers nonstationary and nonlinear models, co-integration and error-correction models.

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.

This thoroughly revised second edition of an upper-level undergraduate/graduate text describes many major techniques of forecasting used in economics and business. This is the only time series book to concentrate on the forecasting of economic data and to cover such a broad range of topics. Its key features are: gives a complete description, with applications, of the Box-Jenkins single series modeling techniques; extends the Box-Jenkins techniques to multivariate cases; compares forecasts from purely statistical and econometric models; pays careful attention to such problems as how to evaluate and compare forecasts; covers nonstationary and nonlinear models, co-integration and error-correction models.

Forecasting Financial Markets provides a compelling insight into the psychology of trading behavior and shows how "following the herd" can have disastrous results. It demonstrates how one's ability to make money in the world's financial markets depends critically on an ability to make decisions independently of the crowd. Tony Plummer details the three dimensions essential to achieve successful trading, including an ability to understand the forces at work in logical terms, recognize (and neutralize) any emotional responses to market fluctuations, and design an investment process or trading system that generates objective "buy" or "sell" signals. Taking the author's latest research into account, this book provides an in-depth assessment of the phenomenon of cycles, patterns of economic and financial activity, and how to use cycles as a forecasting tool.  It includes Plummer's forecasts for when the global economy will emerge from its current downturn.

Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. 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. Examples use R with many data sets taken from the authors' own consulting experience.

This book provides a synthesis of concepts and materials that ordinarily appear separately in time series and econometrics literature, presenting a comprehensive review of both theoretical and applied concepts. Perhaps the most novel feature of the book is its use of Kalman filtering together with econometric and time series methodology. From a technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. This technique was originally developed in control engineering but is becoming increasingly important in economics and operations research. The book is primarily concerned with modeling economic and social time series and with addressing the special problems that the treatment of such series pose.

Book is in NEW condition. 0.88

This selection of papers encompasses recent methodological advances in several important areas, such as multivariate failure time data and interval censored data, as well as innovative applications of the existing theory and methods. Using a rigorous account of statistical forecasting efforts that led to the successful resolution of the John-Manville asbestos litigation, the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensational events. Throughout the text, the emphasis is on the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the court's need for a definitive settlement, and how these opposing principles can be reconciled. A valuable reference for researchers and practitioners in the field of survival analysis.

Book is in NEW condition. 0.35

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Forecasting Financial and Economic Cycles 2.06

Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.