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MONANOVA - Monotone regression
The MONANOVA model Monotone regression and the MONANOVA model differ only in the fact that the explanatory variables are either quantitative or qualitative. They are based on linear regression in the first case, and on the ANOVA model in the second. These methods are based on iterative algorithms based on the ALS (alternating least squares) algorithm. Their principle is simple, it consists of alternating...
CHOICE-BASED CONJOINT ANALYSIS
PRINCIPLE OF CHOICE-BASED CONJOINT ANALYSIS (CBC) Conjoint analysis is a comprehensive method for the analysis of new products in a competitive environment. This tool allows you to carry out the step of analyzing the results obtained after the collection of responses from a sample of people. It is the fourth step of the analysis once the attributes have been defined, the design has been generated,...
PLS discriminant analysis
What is PLS discriminant analysis? PLS regression can be adapted to fit discriminant analysis (PLS-DA). The PLS discriminant analysis uses the PLS algorithm to explain and predict the membership of observations to several classes using quantitative or qualitative explanatory variables. XLSTAT uses the PLS2 algorithm applied on the full disjunctive table obtained from the qualitative dependent variable....
CLUSTATIS
Clustering tables by means of CLUSTATIS in Excel Cases where data are made up of different blocks of variables are becoming more and more frequent. Sensory analysis is particularly concerned by this phenomenon, since many tasks lead to this type of data, with each consumer/judge/subject providing a configuration/table (e.g.Projective mapping/Napping, conventional profiling, free choice profiling)....
Cumulative incidence
What is cumulative incidence Cumulative incidence investigates disease frequency at a certain period of time. It is often called competing risks case. Technically, for a given period, the cumulative incidence is the probability that an observation still included in the analysis at the beginning of this period will be affected by an event during the period. It is especially appropriate in the case...
Life table analysis
What is life table analysis Life table analysis belongs to the descriptive methods of survival analysis, similarly to the Kaplan Meier analysis. The life table analysis method was developed first, but the Kaplan-Meier analysis method has been shown to be superior in many cases. Life table analysis allows to quickly obtain a population survival curve and essential statistics such as the median survival...
Kaplan-Meier analysis
What is Kaplan-Meier analysis The Kaplan-Meier method, also called product-limit analysis, belongs to the descriptive methods of survival analysis, as does life table analysis. The life table analysis method was developed first, but the Kaplan-Meier method has been shown to be superior in many cases. Kaplan-Meier analysis allows you to quickly obtain a population survival curve and essential statistics...
Customer Long-term Value (CLTV)
Based on your order history, customer long-term value (CLTV) will help you to estimate the cash flows you will get from customers and estimate how long you can keep them after the acquisition. It will also allow you to better understand your customers life cycle, identify periods of high churn risk, and gives you an estimation of the profits generated by your customers over an extended time period....
TURF analysis
What is TURF analysis The TURF (Total Unduplicated Reach and Frequency) method is used in marketing to highlight a line of products from a complete range of products in order to have the highest market share. From all the products of a brand, we can obtain a subset, which should be the line of products with the maximum reach. For example, let’s consider an ice cream manufacturer producing 30 different...
Method comparison (Bland Altman, …)
When to use method comparison When developing a new method you might want to be sure that the results are similar to a reference or a comparable method. If there is a difference, you should investigate the reasons. It may be due to a bias that depends on the position on the scale variation. In addition If a new measurement method is preferred for economic reasons, but do not performed as good as the...