Xlstat Premium [portable]
XLSTAT Premium is the most comprehensive version of the popular Excel statistical add-in, offering over 240 advanced features for researchers and data analysts. It integrates directly into Microsoft Excel, providing a professional-grade alternative to standalone software like SPSS or Minitab without requiring users to learn a new interface or coding. Key Features and Capabilities
Steps in XLSTAT Premium:
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Top Features of XLSTAT Premium
To understand why analysts upgrade to XLSTAT Premium, one must look beyond the basic t-test. Here are the flagship features that set this version apart. XLSTAT Premium is the most comprehensive version of
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2.2 Statistical Methods (Partial List)
| Category | Specific Methods |
|----------|------------------|
| Basic Statistics | 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) |
