{"product_id":"garima-jain-time-series-forecasting-of-meteorological-parameters-9786208445911","title":"Time Series Forecasting of Meteorological Parameters","description":"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.","brand":"LAP LAMBERT Academic Publishing","offers":[{"title":"Default Title","offer_id":53705667084630,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9786208445911_1.jpg?v=1778868978","url":"https:\/\/www.momoxbooks.com\/products\/garima-jain-time-series-forecasting-of-meteorological-parameters-9786208445911","provider":"momoxbooks","version":"1.0","type":"link"}