{"product_id":"time-series-forecasting-of-meteorological-parameters-9786208445911","title":"Time Series Forecasting of Meteorological Parameters","description":"\u003cp\u003e • Author(s): Garima Jain | Ankush Jain | Anuj Jaiswal\u003cbr\u003e • Publisher: LAP Lambert Academic Publishing\u003cbr\u003e • Publisher Imprint: LAP Lambert Academic Publishing\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46378193911959,"sku":"9786208445911","price":5873.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9786208445911.webp?v=1768763255","url":"https:\/\/atlanticbooks.com\/products\/time-series-forecasting-of-meteorological-parameters-9786208445911","provider":"Atlantic Books","version":"1.0","type":"link"}