XLSTAT Forecasting
A solution that combines the most accurate prevision tools in one user-friendly interface.
XLSTAT Forecasting solution, forecasting and business statistics software in Excel
To make accurate predictions, it’s wiser not to rely on an oracle or a crystal ball. XLSTAT Forecasting is designed for those who want to use the most advanced analytical methods to predict sales, rainfalls, sports results, analyze stock markets or create optimized portfolios.
The Forecasting solution provides user-friendly interfaces to access Smoothing forecasting methods (Holt Winters) as well as the more advanced SARIMAX approach to forecast time series which take into account passed values and covariates. Stock market analysts will enjoy our cointegration feature to study the relationships between stocks. Sales managers will enjoy making pragmatic scenarios and running simulations to obtain reliable predictions for their sales. XLSTAT-Forecasting also includes other valuable tools for those whose jobs involve predicting the future.
XLSTAT Forecasting includes all of the Basic+ features in addition to methods that are specifically used in forecasting.
Describing data
- Descriptive statistics (including Box plots and scattergrams)
- Histograms
- Reliability Analysis
- Normality tests
- Contingency table (descriptive statistics)
- Similarity/Dissimilarity matrices (correlation…)
- Multicollinearity statistics
- Quantiles estimation
- Resampled statistics
- Biserial correlation
- Variable characterization
- Pivot table
Analyzing data
- Principal Component Analysis (PCA)
- Factorial analysis of mixed data (PCAmix)
- Correspondence Analysis (CA)
- Multiple Correspondence Analysis (MCA)
- Principal Coordinate Analysis
- Multidimensional Scaling (MDS)
- Factor analysis
- Discriminant Analysis (DA)
- Agglomerative Hierarchical Clustering (AHC)
- k-means clustering
- Univariate clustering
- Gaussian mixture models
Modeling data
- Distribution fitting
- Linear regression
- ANOVA (Analysis of variance)
- Welch and Brown-Forsythe one-way ANOVA
- ANCOVA (Analysis of Covariance)
- Multivariate Analysis of Variance (MANOVA)
- Logistic regression (Binary, Ordinal, Multinomial, …)
- Ordinal logit model
- Log-linear regression (Poisson regression)
- Quantile regression
- Cubic splines
- Nonparametric regression (Kernel and Lowess)
- Nonlinear regression
- Partial Least Squares regression (PLS)
- PLS discriminant analysis
- Repeated measures Analysis of Variance (ANOVA)
- Mixed models
- Ordinary Least Squares regression (OLS)
- Principal Component Regression (PCR)
- Two-stage least squares regression
- LASSO Regression
- Ridge Regression
Machine Learning
- Fuzzy k-means clustering
- k-means clustering
- One-class Support Vector Machine
- Support Vector Machine
- K Nearest Neighbors (KNN)
- Naive Bayes classifier
- DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
- Classification and regression random forests
- Classification and regression trees
- Gaussian mixture models
- Association rules
- Model performance Indicators
Parametric tests
- Test for one proportion
- Test for two proportions
- k proportions test
- Multinomial goodness of fit test
- One-sample t-test and z-test
- Two-sample t-test and z-test
- One-sample variance test
- Two-sample comparison of variances
- k-sample comparison of variances
- Multidimensional tests (Mahalanobis, …)
- TOST (Equivalence test)
Nonparametric tests
- One sample Wilcoxon Signed-Rank test
- Non parametric tests on two independent samples
- Non parametric tests on two paired samples
- Kruskal-Wallis test
- Friedman test
- Page test
- McNemar's test
- Cochran's Q test
- Durbin and Skillings-Mack tests
- Cochran-Mantel-Haenszel test
- One sample runs test
- Mood test (Median test)
Time series analysis
- Time series descriptive statistics
- Time series transformation
- Smoothing of time series
- ARIMA
- Mann-Kendall Trend Tests
- Cointegration tests
- Unit root and stationarity tests
- Homogeneity tests for time series
- Heteroscedasticity tests
- Durbin-Watson test
- Cochrane-Orcutt model
- Fourier transform
- Spectral analysis
XLSTAT Basic+
XLSTAT Forecasting includes all XLSTAT Basic+ features.
View more
Tutorials for Forecasting
#09 Statistiques Exploratoires dans Excel avec XLSTAT
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#10 Analyse en Composantes Principales : Théorie dans Excel avec XLSTAT
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#17 Classification Ascendante Hiérarchique dans Excel avec XLSTAT
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#03 Médiane, Quartiles et Box Plot dans Excel avec XLSTAT
XLSTAT
- OS
- Windows
- VERSIONS
- Win7, Win8, Win10, Win11
- OS
- Mac OS X
- VERSIONS
- ≥ 10.10
XLSTAT is a leader in software for statistical analysis in MS Excel.
Since 1993, we have worked continuously to bring you and some other 100,000 users from more than 120 countries a powerful, versatile, and above all user-friendly and affordable software to meet all of your statistical needs.
Featuring over 240 standard and advanced statistical tools, XLSTAT works as a seamless add-on to MS Excel and Google Sheets (free limited version only), allowing you to easily analyze and reformat your data within Excel.XLSTAT is compatible with both Windows and Mac.
XLSTAT uses pioneering computing techniques so that you get actionable results at unbeatable speeds: parallel computing allows you to take full advantage of all your computer processors.
Today XLSTAT offers a wide variety of industry/field specific solutions designed for each and every one of you.
So make way for a statistical software that will change the way you work.