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What's New in NumXL 2.0

Although, NumXL 2.0 is not officially out, this article will give you a good headstart on the new features in NumXL 2.0.

  1. Summary Statistics (support for missing observations)-
    1. Mean, Median, Quantile, Quartile, SD, Skew, Kurtosis, count 
    2. Range, IQR, MD, MAD, MIN, MAX, RMD, RMS, GINI and long-run variance
    3. ACFi, PACFi.
    4. Correlation (Spearman, Pearson and Kendall), exponential-weighted correlation, cross-correlation
  2. Data Transformation (support for missing observations)-
    1. smoothing function (e.g.
      moving average, exponential, kernel Gaussian smoothing, etc.) ,
    2. LAG, DIFF, fractional difference, Add, Sub, Scale.
    3. Transformation (BoxCox Optimal Transform)
    4. Filter: Low-Pass High-Pass, Band-Pass, Band-Stop, and ARMA Filter
    5. Fourier transform, Wavelet transform.
  3. Statistical Distributions -
    1. Histogram
    2. Normal, Student's t, Chi-square, Fischer-Snedecor (F-dist), Gamma, Poisson, Weibull, Exponential, Beta, Laplace, power exponential (GEDi) and Log Normal distributions.
    3. PDF, CDF, InvCDF.
    4. P-Value and Critical Value
    5. MAD, SD, Skew and Kurtosis
    6. Fourier transform,
      Wavelet transform.
  4. Parametric Modeling -
    1. ARMA, ARMAX, ARIMAi, ARFIMA, AirLine
    2. GARCHi, E-GARCH, GARCH-Mi, TGARCH, IGARCH, GJR GARCH, NGARCH, and QGARCH.
    3. IID
    4. COMPLEX Models (e.g. ARMA-GARCH, ARFIMA-GARCH, etc)
  5. Model Functions -
    1. Spectral Density function,
    2. Goodness of fit - LLFi, AICi, Bayesian Information Criterion (BIC/SIC), SSE, SAD.
    3. Impulse Response Function (IRF)
    4. Calibration and error estimation of model coefficient.
    5. Simulation
  6. Statistical tests (support for missing observations)-
    1. White noise, Normality and ARCH Tests
    2. Unit-root tests - ADF and KPSS
    3. Co-integration test
    4. Correlation test (Pearson, Spearman, and Kendall).
    5. Long-memory test (Local Whittle Estimate, GPH)
  7. Covariance Analysis -
    1. Covariance matrix, exponential-weighted covariance matrix
    2. Covariance to Correlation matrix transform
    3. Matrix positive-definite test.

Furthermore, the functionality offered through the menus, tool-bars and form wizards has been revised to enhance the usability of the existing and new functions.

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Please add the

Please add the GeneralExtreme and Wakeby distributions; thanx

Jon

Thanks Jon for your

Thanks Jon for your feedback. I created a feature request on our self-service center: Ticket # 752

I hope we will be able to get it in NumXL 2.0

randomness