ARIMA Model l Time Series l Part 19 l Statistics Paper 3 l ISS 2026
Автор: statup academy
Загружено: 2025-12-04
Просмотров: 32
Welcome to Part 19 of the ISS 2026 Statistics Paper 3 series!
In this session, we dive deep into the ARIMA (AutoRegressive Integrated Moving Average) Model, one of the most powerful and widely used techniques in Time Series Analysis.
🎯 What You Will Learn
Concept of ARIMA models
Understanding AR, I, and MA components
Stationarity and differencing
Model identification (ACF & PACF)
Parameter estimation
Model diagnostics
Practical interpretation and exam-oriented insights
📘 Useful For
ISS (Indian Statistical Service) 2026 Aspirants
Statistics Postgraduates
UG/PG Students of Time Series Analysis
Anyone preparing for competitive exams involving Statistics
🔥 About the Series
This is part of a comprehensive series covering important topics of Statistics Paper 3 with a focus on conceptual clarity, problem-solving, and exam-oriented preparation.
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