Time Series Analyzer - program information

What is new ?: Triple Holt-Winters exponential smoothing ! PACF ! Box-Jenkins !

**Base:**Original data, Mean difference, Variance, Cumulative, ACF.**Statistics:**Histogram, Cumulative histogram, N_P plot.**Differences:**First difference, Second difference, Third difference, Growth rate, Relative increment (%).**Transformations:**Ln(y), Square root(y), Standardization(y), Normalization(y).**Partial sums:**2,3,4,5,6 parts.**Moving averages smoothing.**Simple, centered.**Median smoothing.****Exponential smoothing:**single (first-order), single (Brown`s), double, double (Holt`s).**Regressions:**Polynomial (Constant, Linear, Quadratic, Cubic, 4th, 5th), Exponential, Modified Exponential, Power, Gompertz, Logistic.**Regressions residuals.****Autocorrelations:**ACF, PACF.**Box-Jenkins:**AR, MA, ARMA process.**Seasonal adjustment:**Additive, multiplicative, constant seasonal model.**Seasonal smoothing:**Triple Holt-Winters exponential smoothing.**Additive and multiplicative decomposition.>****Curves:**B-Spline, Chaikin, Catmull-Rom, Ferguson.**Hypothesis Testing:**Kolmogorov-Smirnov (KS), Kolmogorov-Smirnov (Lilliefors/Van Soest variant), W/S normality, D`Agostino, Shapiro-Wilk, Jarque-Bera (chi-square), Jarque-Bera (Lagrange multiplier), Jarque-Bera (advanced Lageange multiplier) test.

Spectral analyzes, Arima, Dependency finder, Neural Network modelling etc.