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Summary

Complete samenvatting EMF

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Deze samenvatting bevat alle stof die je moet kennen voor de tentamens van EMF part 1 en part 2. Part 1 bevat een overzicht van alle tentamenstof en zorgt ervoor dat jij in één oogopzicht de relaties tussen de verschillende onderwerpen begrijpt. Part 2 geeft alle informatie die jij nodig hebt om ...

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  • September 26, 2024
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  • 2023/2024
  • Summary
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BASIS
BASIS Regressiemodel verklaart de band tussen
bepaalde variabele en één of meerdere
variabelen
Population -> alle data
3 TYPEN DATA Sample -> representatieve selectie uit
populatie
Cross sectional
Gegevens over één of meer variabelen die op een enkel tijdstip zijn verzameld
Time-series
Gegevens over één of meer variabelen die op veel momenten in de tijd zijn
verzameld
Panel
Tijdreeks van elk transversaal (dwars) lid van de dataset




VARIABELEN
VARIABELEN
Random variabele (RV):
Bernoulli (of binary)
Kan alleen de waarde 0 of 1 aannemen (kop of munt)
Discreet
Kan beperkt aantal waarden aannemen (dobbelsteen)
Continu
Kan oneindig veel waarden aannemen

Probability Density Function -> vat de informatie over de mogelijke uitkomsten van de
RV(x) en bijbehorende kansen samen
CDF -> cumulatief -> kans dat een RV boven (of onder) een bepaalde waarden vallen
F(x) = P(X x)


Joint distribution -> X en Y zijn discrete RV:

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