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247 results found


  • Combined results 247
  • Solutions 5
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  • Permutational MANOVA or adonis

    Permutational multivariate analysis of variance (PERMANOVA) Permutational multivariate analysis of variance (PERMANOVA),also called Non Parametric MANOVA (NPMANOVA), is a model used in ecology and biology to explain communities with environmental variables. Its goal is similar to Multivariate Analysis of Variance (MANOVA) but as opposed to MANOVA, PERMANOVA is based on permutations of distance matrices....

  • Data management

    Why do we need to manage data? When information is coming from different sources it may be necessary to organize the data before starting an analysis. XLSTAT offers several options for managing data. Deduping It is sometimes necessary to dedupe a table. Some observations might be mistakenly duplicated (or repeated) when they come from different sources, or because of input errors. Grouping Grouping...

  • Semantic differential charts

    What is a semantic differential chart The semantic differential function is a visualization method that has been developed by the psychologist Charles E. Osgood in order to plot the differences between individuals' connotations for a given word. When applying the method, Osgood asked survey participants to describe a word on a series of scales ranging from one extreme to the other (for example favorable/unfavorable)....

  • Repeated measures Analysis of Variance (ANOVA)

    Use this tool to carry out Repeated Measures ANOVA (ANalysis Of VAriance). The advanced options enable you to choose the constraints on the model and to take account of interactions between the factors. Multiple comparison tests can be calculated. XLSTAT proposes two ways for handling repeated measures ANOVA. The classical way using least squares estimation (LS) that is based on the same model as...

  • Analysis of a Taguchi design

    The Taguchi method is a method introduced by Genichi Taguchi (Genichi and Wu, 1980) which is a method of experimental design providing an improvement to full and fractional factorial designs. It consists in using orthogonal tables, which have been pre-established by G. Taguchi, which depend on the number of runs to be performed, the number of factors in the model, and the number of levels by factors....

  • Time-Intensity

    What is Time-Intensity Analysis? Time-Intensity (TI) is a temporal sensory method first introduced in the 30s. It became notably used in sensory analysis in the 50s (Söjström (1954)) and emerged in the 70s with the improvement of recording instrument. During TI evaluations, assessors are asked to score the intensity of perception of a single attribute over consumption of the product. Compared to single...

  • Easy Fit / Easy Predict

    Easy Fit allows you to test and compare different predictive models for the same dataset. Depending on the type of the dependent and explanatory variables (quantitative or qualitative), various models are proposed. The Easy Predict function can be then used to make predictions using the previously fitted models. Options for the Easy Fit / Easy Predict function in XLSTAT Available regression models...

  • DOE for sensory data analysis

    Why do we use Design of Experiment in Sensory data analysis Designing an experiment is a fundamental step for anyone who wants to ensure that data collected will be statistically usable in the best possible way. No use to evaluate products from a panel of judges if the products cannot be compared under statistically reliable conditions. It is also not necessary to have each judge evaluate all products...

  • Projective mapping data analysis

    What is projective mapping data analysis The projective mapping (or Napping) task is one of the so-called "rapid" tests that are becoming increasingly popular in the context of the sensory characterization of products. You ask each subject to place products on a sheet of paper. The data collected are simply the coordinates of the products on the x-axis and y-axis of the sheet of paper. Each subject...

  • Sensory shelf life analysis

    What is sensory shelf life analysis Sensory shelf life analysis is used to evaluate the ideal period for consumption of a product using sensory evaluation of assessors at different times/dates. It may happen that the physico-chemical properties of a product are not sufficient to assess the quality of a product with respect to the period in which it is consumed. Frequently, adding sensory evaluation...

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