test de régression

10 bonnes adresses pour test de régression

1. 

   Regression Testing - WineHQ Wiki

   25 oct. 2016 - Dans l'informatique au niveau des entreprises. Vous n'êtes pas sans vous doûter que les applications et autres programmes créés sont testés avant d'être livrés ou commercialisés. Il existe différents types de tests : unitaires, fonctionnels, non-régression... Dans notre cas, nous nous focaliserons sur les ...

   ---> Regression Testing - WineHQ Wiki<---
2. 

   Regression Analysis Tutorial and Examples | Minitab - Minitab Blog

   Les joies du code, l'instant GIF des développeurs - humour de dev.

   ---> Regression Analysis Tutorial and Examples | Minitab - Minitab Blog<---
3. 

   Automatisation des tests de non régression | HIGHTEST

   Student's t-test: the simplest statistical test; Paired tests: repeated measurements on the same indivuals. Linear models, multiple factors, and analysis of variance. “formulas” to specify statistical models in Python; Multiple Regression: including multiple factors; Post-hoc hypothesis testing: analysis of variance (ANOVA).

   ---> Automatisation des tests de non régression | HIGHTEST<---
4. 

   Regression Diagnostics and Specification Tests — statsmodels 0.8.0 ...

   Simplifiez les tests de non-régression de vos applications de gestion grâce au logiciel de tests RECITAL : adaptation automatique et versioning des jeux d'essai.

   ---> Regression Diagnostics and Specification Tests — statsmodels 0.8.0 ...<---
5. 

   (ou coefficient de détermination)..........................................

   1 avr. 2016 - The following is a guest post by Garris Shipon. We've touched on the four types of CSS testing here before. Regression testing is the hardest. It's the type where you're trying to test if a change you made to CSS resulted in any unexpected visual problems. This is made more difficult with responsive designs.

   ---> (ou coefficient de détermination)..........................................<---
6. 

   What's the basic difference between ANOVA, regression testing, and ...

   1-r² is the proportion that is not explained by the regression. Thus 1-r² = s²xY / s²Y. Confidence limits are constructed for r using Fisher's z transformation. The null hypothesis that r = 0 (i.e. no association) is evaluated using a modified t test (Armitage and Berry, 1994; Altman, 1991). Pearson's correlation assumption: · at least ...

   ---> What's the basic difference between ANOVA, regression testing, and ...<---
7. 

   Linear Regression Analysis in SPSS Statistics - Procedure ...

   13 janv. 2015 - Review of Multiple Regression. Page 4. The above formula has several interesting implications, which we will discuss shortly. Uses of the ANOVA table. As you know (or will see) the information in the ANOVA table has several uses: • The F statistic (with df = K, N-K-1) can be used to test the hypothesis that ...

   ---> Linear Regression Analysis in SPSS Statistics - Procedure ...<---
8. 

   SPSS à l'UdeS - Régression linéaire simple

   Some software development teams try to get by without performing regular regression tests, opting to test essential functions just once to make sure they work and, if they check out, proceeding with the hopeful assumption that those functions will still work unless they're directly modified again. In a way, this makes sense: it's ...

   ---> SPSS à l'UdeS - Régression linéaire simple<---
9. 

   Review of Multiple Regression - University of Notre Dame

   Il n'y a pas à notre connaissance de terme réservé pour désigner l'étude de Y qualitative en fonction de Xi qualitatives, dont le cas le plus simple est l'analyse de tri croisé (via un test du χ² d'indépendance), même si on peut effectuer des régressions logistiques qualitatives. Cela tient sans doute au fait que les calculs ...

   ---> Review of Multiple Regression - University of Notre Dame<---
10. 

    The Multiple Linear Regression Analysis in SPSS - Statistics Solutions

    t-tests, ANOVAs & Regression and their application to the statistical analysis of neuroimaging. Carles Falcon &. Suz Prejawa. OVERVIEW. Basics, populations and samples; T-tests; ANOVA; Beware! Summary Part 1; Part 2. Basics. Hypotheses. H0 = Null-hypothesis; H1 = experimental/ research hypothesis. Descriptive vs ...

    ---> The Multiple Linear Regression Analysis in SPSS - Statistics Solutions<---