Tag: Statistics
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Lecture Notes — Probability and Statistics
Some materials for my lecture notes in Probability and Statistics are available on GitHub: https://github.com/. You will find the Mathematica notebooks and the PDF of my…
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Illustrating the consequences of modeling common factors with Stata [Updated with xtdcce2]
This post has been inspired by a fascinating discussion with Hiro Ito, Eric Clower and Kamila Kuziemska-Pawlak. In an old paper of mine (j.econmod.2015.02.007) written in…
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Two Data Sets and Some Papers [EconBrowser]
in LecturesLet me draw your attention to these very nice resources posted by Menzie Chinn in his International Symposium on Forecasting 2023 course on “Modeling & Forecasting…
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Size and Power using Stata: a Simple Example
During my seminars of Applied Econometric with Stata in the Faculty of Economics and Management at the University of Strasbourg, I always tell to my students…
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Statistique : Principes et méthodes
Il y a quelques années, le doyen et la vice-doyenne m’avait confié la mission de coordonner les enseignements en Probabilités et statistiques pour les trois premières…
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A Simple Proof for the Chebyshev Inequality: Clearly Explained!
In the Appendix A of this book: Statistics: Principles and Methods written by Giuseppe Cicchitelli, Pierpaolo D’Urso and Marco Minozzo published by Pearson in 2021, I…
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Skewness in Wolfram Alpha: Clearly Explained!
The positional average known as the skewness allows you to assess the symmetry of a distribution. When the skewness is to zero, then the distribution is…
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L’inférence statistique : clairement expliquée
in VideoDans cette vidéo à but pédagogique, je tente d’expliquer de manière intuitive le concept d’inférence statistique. Il s’agit d’un concept très intuitif que l’on peut appréhender…
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Unbiased estimator for population variance: clearly explained!
Estimator: A statistic used to approximate a population parameter. Sometimes called a point estimator. Estimate: The observed value of the estimator. Unbiased estimator: An estimator whose…