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Time Series Forecasting of Meteorological Parameters

by Garima Jain , Ankush Jain , Anuj Jaiswal
Save 12% Save 12%
Current price ₹5,873.00
Original price ₹6,702.00
Original price ₹6,702.00
Original price ₹6,702.00
(-12%)
₹5,873.00
Current price ₹5,873.00

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Book cover type: Paperback
  • ISBN13: 9786208445911
  • Binding: Paperback
  • Subject: N/A
  • Publisher: LAP Lambert Academic Publishing
  • Publisher Imprint: LAP Lambert Academic Publishing
  • Publication Date:
  • Pages: 100
  • Original Price: GBP 52.98
  • Language: English
  • Edition: N/A
  • Item Weight: 146 grams
  • BISAC Subject(s): Probability & Statistics / General

This book focuses on the time series forecasting of critical meteorological parameters including temperature, rainfall, humidity, and wind. It explores classical statistical models such as ARIMA, Holt-Winters, and Exponential Smoothing, along with a novel enhancement-the Modified Sliding Window Algorithm. The objective is to improve prediction accuracy in meteorological datasets by applying adaptive techniques. Real-time weather data has been analyzed using these models, and a comparative study highlights the performance of each. This work is beneficial for researchers, meteorologists, and data scientists working in climate modeling and weather prediction.

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