পদ্ধতির তুলনা করুন

	Diebold-Mariano Test	Wald-Wolfowitz Runs Test
ক্ষেত্র	অর্থমিতি	পরিসংখ্যান
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	1995	1940
প্রবর্তক	Francis Diebold & Roberto Mariano	Abraham Wald & Jacob Wolfowitz
ধরন	Non-parametric forecast comparison test	Nonparametric randomness test
মৌলিক উৎস	Diebold, F. X., & Mariano, R. S. (1995). Comparing predictive accuracy. Journal of Business & Economic Statistics, 13(3), 253–263.	Wald, A. & Wolfowitz, J. (1940). On a test whether two samples are from the same population. Annals of Mathematical Statistics, 11(2), 147–162.
অপর নাম	DM Test, Test of Equal Forecast Accuracy, Diebold-Mariano Forecast Comparison Test, Tahmin Doğruluğu Eşitliği Testi	Wald-Wolfowitz test, runs test for randomness, Runs Testi (Wald-Wolfowitz)
সম্পর্কিত	3	5
সারসংক্ষেপ	The Diebold-Mariano (DM) test, introduced by Diebold and Mariano in 1995, is a widely used non-parametric procedure for formally comparing the predictive accuracy of two competing forecasting models. It evaluates whether the difference in forecast errors between two models is statistically significant, without requiring nested models or specific distributional assumptions about the forecasts, making it broadly applicable across economics, finance, and time-series analysis.	The Wald-Wolfowitz runs test is a nonparametric hypothesis test that determines whether a sequence of observations — coded as a series of binary symbols — follows a random pattern or contains systematic structure. Introduced by Abraham Wald and Jacob Wolfowitz in 1940, the test counts the number of uninterrupted runs of identical symbols and asks whether that count is consistent with random arrangement.