Choose the right solution for you

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
eiusmod tempor incididunt ut labore et dolore magna aliqua.

NumXL Core
NumXL Pro
NumXL Expert

Prepare and refine your raw data for effective analysis

Data Preparation

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Transform

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Tellus in hac habitasse platea dictumst vestibulum. Amet mattis vulputate enim nulla aliquet. Leo integer malesuada nunc vel risus commodo viverra maecenas accumsan. Elit ullamcorper dignissim cras tincidunt.

Data Fitting

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Missing values

Calculate basic descriptive statistics, plot empirical distribution and/or conduct powerful significance tests using your data in Excel with a few clicks.

Descriptive Statistics

Summarize your sample data to communicate key information (e.g. location, dispersion, distribution, etc.) of your data.

Summary Statistics

Estimate the frequency and cumulative distribution functions using your sample data.

Empirical Distribution

Explore the variability (scatter or spread) of the values in your sample data.

Dispersion Measures

Measures the strength (and the significance) of the relationship between two data sets.

Correlation

Automate the statistical analysis of the serial correlation, model order identification, and exploring patterns in the your time series data.

Correlogram

Conduct statistical test of hypothesis to draw inferences (e.g. Normality, Stationary, Cointegration, etc.) about population from our sample data.

Statistical significance

Analyze your time series, exploer hidden serial correlations and/or seasonality. Model your data with sophisticated econometric processes, and forecast future outcomes.

ARMA/ARIMA Analysis

Analyze your non-stationary time series, explore hidden serial correlations, model with sophisticated econometric processes, and forecast future outcomes.

ARIMA Modeling

Analyze your time series, explore hidden serial correlations. Model your data with sophisticated econometric processes, and forecast future outcomes

ARMA Modeling

Analyze your time series, exploer hidden serial correlations and/or seasonality. Model your data with sophisticated econometric processes, and forecast future outcomes

SARIMA Modeling

Analyze your time series in presence of exogenous factors, explore hidden serial correlations and/or seasonality. Model your data with sophisticated processes, and forecast future outcomes

SARIMAX Modeling

A special - simplified - form of SARIMA model, but very often used in practice to model non-stationary seasonal time series.

Airline Modeling

With ARMAX model, we can analyze time series data in conjunction with exogenous factors leading.

ARMAX Modeling

Supports the modeling and seasonal adjustment methodology for U.S. Census Bureau's X12-ARIMA in Excel.

US Census X12 ARIMA
US Census X 13ARIMA SEATS

Models the time varying volatility with powerful econometric GARCH-Family type of processes and, project future outcomes.

ARCH/GARCH Analysis

Models with generalized autoregressive conditional heteroskedasticity (GARCH) model

GARCH Modeling

Model conditional variance with exponential general autoregressive conditional heteroskedastic (E-GARCH) model (Nelson 1991).

E-GARCH Modeling

Model the conditional volatility as a GARCH process, but adds a heteroskedasticity term into the mean equation.

GARCH-M Modeling

Investigate multidimensional data sets to reduce or establish a relationship with Principal Component Analysis (PCA) and Multiple Linear Regression (MLR)

Factor Analysis

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Egestas quis ipsum suspendisse ultrices gravida. Ultrices mi tempus imperdiet nulla. Enim sit amet venenatis urna cursus eget nunc. Lorem mollis aliquam ut porttitor leo a diam sollicitudin.

GLM

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Egestas quis ipsum suspendisse ultrices gravida. Ultrices mi tempus imperdiet nulla. Enim sit amet venenatis urna cursus eget nunc. Lorem mollis aliquam ut porttitor leo a diam sollicitudin.

PCA

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Lacus sed viverra tellus in hac habitasse platea dictumst. Pellentesque elit ullamcorper dignissim cras. Imperdiet nulla malesuada pellentesque elit eget gravida cum sociis natoque. Sit amet consectetur adipiscing elit duis tristique.

PCR

Factor analysis is a technique that is used to reduce a large number of variables into fewer numbers of factors.

MLR

Apply sophisticated smoothing techniques to extract various components in your data using Exponential Smoothing

Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Blandit massa enim nec dui nunc mattis enim ut tellus. In massa tempor nec feugiat. Malesuada proin libero nunc consequat interdum varius sit amet. Vitae nunc sed velit dignissim sodales ut eu sem integer.

Level Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Blandit massa enim nec dui nunc mattis enim ut tellus. In massa tempor nec feugiat. Malesuada proin libero nunc consequat interdum varius sit amet. Vitae nunc sed velit dignissim sodales ut eu sem integer.

Level-Trend Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. In ornare quam viverra orci sagittis eu. Consequat nisl vel pretium lectus quam id leo in. Tellus in hac habitasse platea dictumst vestibulum rhoncus. Mi bibendum neque egestas congue quisque.

Level-Trend-Single-Seasonality Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. In ornare quam viverra orci sagittis eu. Consequat nisl vel pretium lectus quam id leo in. Tellus in hac habitasse platea dictumst vestibulum rhoncus. Mi bibendum neque egestas congue quisque.

Level-Trend-Double-Seasonality Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. At tempor commodo ullamcorper a lacus vestibulum sed. Eu feugiat pretium nibh ipsum consequat nisl vel pretium lectus. Vivamus arcu felis bibendum ut tristique et egestas quis ipsum. In eu mi bibendum neque egestas congue.

Level-Trend-Triple-Seasonality Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. At tempor commodo ullamcorper a lacus vestibulum sed. Eu feugiat pretium nibh ipsum consequat nisl vel pretium lectus. Vivamus arcu felis bibendum ut tristique et egestas quis ipsum. In eu mi bibendum neque egestas congue.

State Space

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla pellentesque dignissim enim sit amet. Lectus quam id leo in vitae turpis. Convallis a cras semper auctor neque vitae. Magna sit amet purus gravida quis blandit turpis cursus in.

Croston Smoothing

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Forecast Performance

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Nulla pellentesque dignissim enim sit amet. Lectus quam id leo in vitae turpis. Convallis a cras semper auctor neque vitae. Magna sit amet purus gravida quis blandit turpis cursus in.

Absolute Performance Measures

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Placerat vestibulum lectus mauris ultrices eros in cursus turpis. Egestas integer eget aliquet nibh praesent tristique magna sit. Mi quis hendrerit dolor magna eget est lorem ipsum. Id cursus metus aliquam eleifend mi in nulla.

Scaled Performance Measures

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Placerat vestibulum lectus mauris ultrices eros in cursus turpis. Egestas integer eget aliquet nibh praesent tristique magna sit. Mi quis hendrerit dolor magna eget est lorem ipsum. Id cursus metus aliquam eleifend mi in nulla.

Relative Performance Measures

Break down your data into its components using Fourier Transform and filters like Hodrick-Prescott and Baxter-King.

Spectral Analysis

Calculates the frequency-domain representation of a finite time series in time domain.

Fourier Transform

Processes time series (signal) by complete or partial suppression of some aspect of the signal.

Filters

Measure and assess the accuracy and reliability of your forecasting process using industry standard metrics and functions.

Calendar Analysis

Perform a variety of workday and date calculations, using set of holidays and weekend convention.

Business / Workday

Supports western and international weekend convention for workday calculation.

Weekend Conventions

Examines and identifies past and future holiday dates.

Holiday

Defines set of holidays and a weekend convention for use in workdays based calculation.

Calendar

General functions (e.g. regex, sort, etc.) that are not related to any particular time series data processing.

Utilities

sort, shuffle, construct permutation and/or sample the observations in the dataset, and more.

Sort and Shuffle

Searches for, or replace a pattern in an input text.

Regular Expression

Generates different plausible outcomes of your process, by repeated sampling of one or more random parameters/inputs.

Monte Carlo Simulation

Helper functions (e.g. NUMXL_INFO, TRANSPOSE, etc.) that do not fit in any of our main functions features list.

Miscellanous