Search
247 results found
Multidimensional Scaling (MDS)
What is Multidimensional Scaling Multidimensional Scaling (MDS) is used to go from a proximity matrix (similarity or dissimilarity) between a series of N objects to the coordinates of these same objects in a p-dimensional space. p is generally fixed at 2 or 3 so that the objects may be visualized easily. For example, with MDS, it is possible to reconstitute the position of towns on a map very precisely...
Subgroup charts
What is a subgroup control chart A subgroup chart is a type of control chart that focus on the quality characteristic measurement within one subgroup. It is used to supervise production quality, in the case where you have a group of measurements for each point in time. The measurements need to be quantitative data. This tool is useful to recap the mean and the variability of the measured production...
Customer Lifetime Value (CLV)
What is Customer Lifetime Value? This tool will help you to estimate the cash flows you will get from customers and estimate how long you can keep them after the acquisition. Using CLV, you will be able to streamline the marketing or advertising operation you could engage in order to increase your customers retention rate. Customer Lifetime Value (CLV) can be defined as the present value of the future...
Support Vector Machine
Use this method to perform a binary classification, a multi-class classification or a regression on a set of observations described by qualitative and/or quantitative variables (predictors). What is the Support Vector Machine? The Support Vector Machine (SVM) is a supervised machine learning technique that was invented by Vapnik and Chervonenkis in the context of the statistical learning theory (Vapnik...
Two-stage least squares regression
Principle of the two-stage least squares The two-stage least squares method is used to handle model with endogenous explanatory variables in a linear regression framework. An endogenous variable is a variable which is correlated with the error term in the regression model. Using endogenous variable is in contradiction with the linear regression assumptions. This kind of variable can be encountered...
ARIMA
XLSTAT offers a wide selection of ARIMA models such as ARMA (Autoregressive Moving Average), ARIMA (Autoregressive Integrated Moving Average) or SARIMA (Seasonal Autoregressive Integrated Moving Average). This way, you can easily run an ARIMA for time series forecasting without python or R. These models can be used in applied machine learning in various fields such as finance, to predict the evolution...