পদ্ধতির তুলনা করুন

	কাঠামোগত বিভ্রাট SARIMA মডেল	বাই-পেরন মাল্টিপল স্ট্রাকচারাল ব্রেক টেস্ট
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Hypothesis test
উদ্ভবের বছর	1970s–1998	1998
প্রবর্তক	Box & Jenkins (SARIMA); Bai & Perron (structural break detection)	Jushan Bai & Pierre Perron
ধরন	Time series model with regime shifts	Sequential hypothesis test for multiple structural breaks
মৌলিক উৎস	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.
অপর নাম	SARIMA with structural breaks, break-augmented SARIMA, piecewise SARIMA, SARIMA-SB	Bai-Perron Multiple Break Test, Multiple Structural Change Test, Sequential Structural Break Test, Çoklu Yapısal Kırılma Testi
সম্পর্কিত	3	2
সারসংক্ষেপ	The Structural Break SARIMA model extends the classical Seasonal ARIMA framework by explicitly detecting and accommodating abrupt, permanent shifts in the level, trend, or seasonal pattern of a time series. Rather than forcing a single SARIMA specification across the entire sample, the model partitions the series at estimated breakpoints and fits separate SARIMA processes to each resulting segment, producing more accurate forecasts and reliable inference in the presence of regime changes.	The Bai-Perron test, introduced by Jushan Bai and Pierre Perron in their landmark 1998 Econometrica paper, is a least-squares-based procedure for detecting, estimating, and testing the number of structural breaks in a linear regression model estimated on time-series data. Unlike single-break tests, it simultaneously identifies multiple change-points in a sample, providing economists and empirical researchers with a rigorous, data-driven way to locate parameter instability across time.