👨‍💼 CUSTOMER CARE NO +918468865271

⭐ TOP RATED SELLER ON AMAZON, FLIPKART, EBAY & WALMART

🏆 TRUSTED FOR 10+ YEARS

  • From India to the World — Discover Our Global Stores

🚚 Extra 10% + Free Shipping? Yes, Please!

Shop above ₹5000 and save 10% instantly—on us!

THANKYOU10

Computer Algebra and Symbolic Computation: Mathematical Methods

Sale price Rs.3,881.00 Regular price Rs.5,174.00
Tax included


Genuine Products Guarantee

We guarantee 100% genuine products, and if proven otherwise, we will compensate you with 10 times the product's cost.

Delivery and Shipping

Products are generally ready for dispatch within 1 day and typically reach you in 3 to 5 days.

Get 100% refund on non-delivery or defects

On Prepaid Orders

Book Details

  • Author: Cohen, Joel S.

  • Brand: CRC Press

  • Edition: 1

  • Binding: Paperback

  • Format: Import

  • Number of Pages: 466

  • Release Date: 30-09-2020

  • ISBN: 9780367659479

  • Package Dimensions: 8.9 x 5.9 x 0.9 inches

  • Languages: English

About The Book
"Statistical Methods for Forecasting" by Joel S. Cohen provides a detailed examination of statistical techniques used to predict and forecast in various disciplines. This book focuses on both theoretical foundations and practical applications, making it a useful resource for students and professionals in fields such as economics, engineering, and social sciences.

The book introduces the key concepts of statistical forecasting, covering time series analysis, regression methods, and the application of various statistical tools for making predictions. Through practical examples and exercises, Cohen demonstrates the importance of accurate forecasting models in decision-making processes and provides insights into how these models can be applied to real-world data.

With clear explanations and a systematic approach to the subject, this book offers a strong framework for those looking to enhance their understanding of statistical methods and their ability to apply them effectively in forecasting. Whether used for academic purposes or professional development, it is an essential resource for anyone working in the field of statistical analysis.