Xlstat Premium Jun 2026

Advanced time-series methods to predict sales, market trends, or portfolio optimization. Quality Control: Manage quality and process performance with ease. Why Choose Premium? Seamless Integration: No need to export data; work where your data already is. Advanced Visualization: Create professional, ready-to-publish figures and charts. User-Friendly:

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| Category | Specific Methods | |----------|------------------| | | Descriptive stats, correlation, covariance, normality tests (Shapiro-Wilk, Kolmogorov-Smirnov), outlier detection | | Hypothesis Testing | t-tests (1/2-sample, paired), ANOVA (1-way, N-way, repeated measures, ANCOVA), MANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, Chi-square, Fisher exact) | | Regression | Linear, multiple, polynomial, logistic (binary, multinomial, ordinal), nonlinear, Poisson, ridge, lasso, robust regression, stepwise selection | | Multivariate Analysis | PCA (Principal Component Analysis), FA (Factor Analysis), MCA (Multiple Correspondence Analysis), PLS (Partial Least Squares), cluster analysis (hierarchical, k-means, k-medoids, two-step), discriminant analysis (LDA, QDA), canonical correlation | | Time Series & Forecasting | ARIMA, SARIMA, exponential smoothing (Holt-Winters), decomposition (trend, seasonal, residual), autocorrelation (ACF/PACF), stationarity tests (ADF, KPSS), forecasting accuracy metrics (MAE, RMSE, MAPE, MASE) | | Machine Learning | Decision trees (CART, CHAID), random forests, SVM (Support Vector Machines), neural networks (single/multilayer perceptron), Naïve Bayes, k-NN (k-Nearest Neighbors), XGBoost (via Python bridge) | | Data Mining | Association rules (Apriori algorithm), text mining (sentiment analysis, word cloud, correspondence analysis on text), survival analysis (Kaplan-Meier, Cox regression) | | Sensory & Marketing | Preference mapping (internal/external), just-about-right (JAR), CATA (Check-All-That-Apply), penalty analysis, conjoint analysis (choice-based, full profile) | | Quality Control | Control charts (X-bar, R, S, p, np, c, u, CUSUM, EWMA), capability indices (Cp, Cpk, Pp, Ppk), Pareto charts, Six Sigma tools, Gage R&R (crossed/nested), process capability for non-normal distributions | | Environmental & Ecology | Species richness, rarefaction curves, Bray-Curtis dissimilarity, ecological diversity indices (Shannon, Simpson), NMDS (Non-metric Multidimensional Scaling) | Seamless Integration: No need to export data; work

: Standard features such as ANOVA , regression, t-tests, and Chi-square analysis for hypothesis testing. normality tests (Shapiro-Wilk