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Forecasting: principles and practice
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Forecasting: principles and practice
Forecasting: principles and practice
商品＃: 19823309

Forecasting: principles and practice

85% of respondents would recommend this to a friend

商品＃: 19823309

TWD 3847

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立即訂購並活動它 週五, 十一月 06
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What Stands Out

Comprehensive Coverage
Offers an extensive exploration of forecasting methods and techniques, catering to both academic and practical applications, making it ideal for students and professionals in data analysis.
Updated Content
Includes the latest research and advancements in forecasting, ensuring readers are equipped with contemporary practices and insights that enhance their analytical skills.
Practical Examples
Provides real-world case studies and practical examples to illustrate concepts, facilitating better understanding and application of forecasting methods in various industries.

產品詳情

Get the 2nd Edition of Forecasting: Principles and Practice Book from Ubuy Taiwan. Discover the principles and techniques of forecasting for better decision-making.
Publisher OTexts
Publication date May 6, 2018
Edition 2nd
Language English
Print length 382 pages
ISBN-10 0987507117
ISBN-13 978-0987507112
Item Weight 1.76 pounds (800 grams)
Dimensions 6.69 x 0.9 x 9.61 inches (17 x 2.3 x 24.4 cm)

Who Should Buy?

Suitable For
  • Students and Scholars

    Ideal for those studying forecasting techniques and statistical methods in academia or research environments.

  • Business Analysts

    Useful for individuals involved in data analysis and forecasting for business strategy and decision-making.

  • Data Scientists

    Provides essential insights and methodologies for data scientists working with predictive models and analytics.

Not Suitable For
  • Casual Readers

    Not suitable for those looking for light reading or general information without technical depth.

產品描述

Forecasting: principles and practice

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Planning & Forecasting Editorial Review

Forecasting: principles and practice is an exceptional resource for anyone interested in mastering forecasting techniques using R. The book strikes a balance between theoretical concepts and practical application, presenting major forecasting methods such as regressions, exponential smoothing, and ARIMA in an accessible manner. Many readers appreciate the hands-on approach, with integrated R code and end-of-chapter exercises designed for both novice and experienced data scientists. While some topics like outlier detection may not be covered in depth, the authors provide ample references for further exploration. Overall, this book serves as a comprehensive, engaging textbook for forecasting enthusiasts and students alike.

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優點

  • Excellent integration of R code throughout the text
  • Covers major forecasting methods in detail
  • Hands-on approach with practical examples
  • Suitable for both beginners and advanced users
  • Provides exercises for better understanding

缺點

  • Some advanced topics are not covered in detail

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立即訂購並活動它 週五, 十一月 06

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