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Forecasting
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Dance with Chance
A gripping tale of how even experts misread the role of chance - from the stock market to doctors' surgeries - Dance With Chance argues that we all fall foul of the "The Illusion of Control", meaning that we underestimate the role of luck in our lives. The authors argue that by understanding how uncertainty operates, we can make palpable improvements to our health, wealth, happiness and careers. A must-have book for all
Forecasting Methods for Management
Outlines the full range of qualitative and quantitative forecasting methods. Discusses forecasting challenges, including learning the difference between explaining the past and predicting the future, and the impact of judgmental biases; and forecasting applications for short, medium, and long-term horizons. Annotation copyrighted by Book News, Inc., Portland, OR
Forecasting
"A Wiley/Hamilton publication." Includes bibliographies and index.
The Handbook of Forecasting
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; Judge...
Future Ready
The recent crisis in the financial markets has exposed serious flaws in management methods. The failure to anticipate and deal with the consequences of the unfolding collapse has starkly illustrated what many leaders and managers in business have known for years; in most organizations, the process of forecasting is badly broken. For that reason, forecasting business performance tops the list of concerns for CFO's across the globe. It is time to rethink the way businesses organize and run forecasting processes and how they use the insights that they provide to navigate through these turbulent times. This book synthesizes and structures findings from a range of disciplines and over 60 years of...
Practical Time Series Analysis
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase. Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
FORECASTING METHODS AND APPLICATIONS, 3RD ED
Market_Desc: · Market Researchers· Financial Analysts· Business Planners· Business Economists· Operations Managers· Human Resources Administrators· Business Analysts of various kinds· Other Business Professionals Special Features: · A managerial, business orientation approach is used instead of a mathematical, research focus. Emphasis placed on the practical uses of forecasting.· All data sets used in this text will be available on the Internet.· Coverage now includes the latest techniques used by managers in business today. About The Book: 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.
Forecasting
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.
Intermittent Demand Forecasting
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 ...
