cox-stuart

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SmoothTrend
kaypro283 / SmoothTrend
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
exponential-smoothing holt-winters-forecasting python statistics breusch-pagan cox-stuart dickey-fuller forecasting heteroscedasticity mann-kendall spearman-rank-correlation kolmogorov-smirnov ljung-box-test seasonality shapiro-wilk arima-forecasting arima-model data data-analysis sarima
Language:Python 0

kaypro283 / SmoothTrend