{ "item_title" : "Time Series Forecasting of Meteorological Parameters", "item_author" : [" Garima Jain", "Ankush Jain", "Anuj Jaiswal "], "item_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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/844/591/6208445914_b.jpg", "price_data" : { "retail_price" : "71.00", "online_price" : "71.00", "our_price" : "71.00", "club_price" : "71.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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