Rostami tabar bahman (25 resultados)

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. pp. 268.

Condición: New.

Paperback. Condición: New. This book surveys what executives who make decisions based on forecasts and professionals responsible for forecasts should know about forecasting. It discusses how individuals and firms should think about forecasting and guidelines for good practices. It introduces readers to the subject of time series, presents basic and advanced forecasting models, from exponential smoothing across ARIMA to modern Machine Learning methods, and examines human judgment's role in interpreting numbers and identifying forecasting errors and how it should be integrated into organizations.This is a great book to start learning about forecasting if you are new to the area or have some preliminary exposure to forecasting. Whether you are a practitioner, either in a role managing a forecasting team or at operationally involved in demand planning, a software designer, a student or an academic teaching business analytics, operational research, or operations management courses, the book can inspire you to rethink demand forecasting.No prior knowledge of higher mathematics, statistics, operations research, or forecasting is assumed in this book. It is designed to serve as a first introduction to the non-expert who needs to be familiar with the broad outlines of forecasting without specializing in it. This may include a manager overseeing a forecasting group, or a student enrolled in an MBA program, an executive education course, or programs not specialising in analytics. Worked examples accompany the key formulae to show how they can be implemented.Key Features: While there are many books about forecasting technique, very few are published targeting managers. This book fills that gap. It provides the right balance between explaining the importance of demand forecasting and providing enough information to allow a busy manager to read a book and learn something that can be directly used in practice. It provides key takeaways that will help managers to make difference in their companies.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 268 1st edition NO-PA16APR2015-KAP.

Condición: New. pp. 268.

Condición: New. In English.

Paperback. Condición: Brand New. 288 pages. 9.19x6.13x0.61 inches. In Stock.

Paperback. Condición: New. This book surveys what executives who make decisions based on forecasts and professionals responsible for forecasts should know about forecasting. It discusses how individuals and firms should think about forecasting and guidelines for good practices. It introduces readers to the subject of time series, presents basic and advanced forecasting models, from exponential smoothing across ARIMA to modern Machine Learning methods, and examines human judgment's role in interpreting numbers and identifying forecasting errors and how it should be integrated into organizations.This is a great book to start learning about forecasting if you are new to the area or have some preliminary exposure to forecasting. Whether you are a practitioner, either in a role managing a forecasting team or at operationally involved in demand planning, a software designer, a student or an academic teaching business analytics, operational research, or operations management courses, the book can inspire you to rethink demand forecasting.No prior knowledge of higher mathematics, statistics, operations research, or forecasting is assumed in this book. It is designed to serve as a first introduction to the non-expert who needs to be familiar with the broad outlines of forecasting without specializing in it. This may include a manager overseeing a forecasting group, or a student enrolled in an MBA program, an executive education course, or programs not specialising in analytics. Worked examples accompany the key formulae to show how they can be implemented.Key Features: While there are many books about forecasting technique, very few are published targeting managers. This book fills that gap. It provides the right balance between explaining the importance of demand forecasting and providing enough information to allow a busy manager to read a book and learn something that can be directly used in practice. It provides key takeaways that will help managers to make difference in their companies.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: New. In English.

Hardcover. Condición: Brand New. 288 pages. 9.19x6.13x0.80 inches. In Stock.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Bahman Rostami-Tabar is an Associate Professor in Data and Management Science, at Cardiff University, UK.Dr. Stephan Kolassa is a Data Science Expert at SAP, Switzerland and Honorary Researcher at Lancaster University, UK.Prof. Enno Sie.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Bahman Rostami-Tabar is an Associate Professor in Data and Management Science, at Cardiff University, UK.Dr. Stephan Kolassa is a Data Science Expert at SAP, Switzerland and Honorary Researcher at Lancaster University, UK.Prof. Enno Sie.…

Condición: New. This item is printed on demand.