In redaction about SSQ by hand unbalanced anova and unequal variance

Standardiser en Français est ambigu Vaut mieux le clarifier!

Some problem arise when selecting inside a dataframe. Some are exposed

These are about random number law (Normally i.i.d's) Multiple testing is a consequence of that type I error

Construct a two table isn't easy: Some probléemes is exposed here to avoid any mistake. Exact values taken in the test is simulated here for copyright.

This is a draft endwork given by 30.09 Adress me an email about proc. regards

This document is annxed to Tranxilium study: It show all steps of constructing the time matrix and Yt-1 summing to y(t). Verification step are shown to allow you a step by step approach

La difficulté réside dans la construction d'un tableaux de contingence : Le meilleur moyens est MATRIX

Avec ANOVA on est dans la modélisation : On peut prédire; Dans ce cas c'est la moyenne du groupe qui est le meilleur estimateurs [E¦¦X] J'explique aussi pourquoi on parle de résidus et de régression linéaire type lm. NOTE : ANOVA with unequal within group variances dose exist know as WELCH ANOVA: In R::onewaytest although not very logic...!

Anova est analyse des variance On test mu1=mj,,,par la somme des carrés F distribution est le ratio de deux variance ou deux Mean Sum of Square. On doit lui donné la veleur du test et les df1 numerator et df2 denominateur. F est assymétrique: pour un tel exe si vous voyez des paramètres mean et sd pensez a une loi N(n, mu,sd) SI n>30 c'est une Student: Faites un shapiro test pour tester la Nomalité Il est tres puissant pour n petit.

Overlooked by all, some bias exists when you take the samples means and divided by nbrs of means, to make an overall mean, See the simulation. Proof in theory made easy with first moment definition of Expectation and empiric 1 st momentum.

See fudnemanetals Biostatistics Rosner data tennis review problematics of X over studies and identyfying Carry Over effects: Reviewing Placbo effect and Power.Making link with Linear Mixed models

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A short summary of selected experiences and skills amongst fields of studies

Sometimes your modelling TS won't produce strong / robust result Cyclicity might not be found because it is not existing. Look for Random walk and check stationarity. Note that defining a trend depends which horizon of your data you are looking.

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Trying to publish a advanced model "mgcv":: suported in a dashboard R #mudry#counts#splines

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