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Lære Challenge: Estimate Parameters of Chi-square Distribution | Estimation of Population Parameters
Advanced Probability Theory

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Challenge: Estimate Parameters of Chi-square Distribution

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Suppose that we have samples from the Chi-square distribution. We must determine the parameter K of this distribution, which represents the number of degrees of freedom.
We know that the mathematical expectation of the Chi-square distributes value is equal to this parameter K.
Estimate this parameter using the method of moments and the maximum likelihood method. Since the number of degrees of freedom can only be discrete, round the resulting number to the nearest integer.
Your task is:

  1. Calculate the mean value over samples using .mean() method.
  2. Use .fit() method to get maximum likelihood estimation for the parameter.

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Challenge: Estimate Parameters of Chi-square Distribution

Oppgave

Swipe to start coding

Suppose that we have samples from the Chi-square distribution. We must determine the parameter K of this distribution, which represents the number of degrees of freedom.
We know that the mathematical expectation of the Chi-square distributes value is equal to this parameter K.
Estimate this parameter using the method of moments and the maximum likelihood method. Since the number of degrees of freedom can only be discrete, round the resulting number to the nearest integer.
Your task is:

  1. Calculate the mean value over samples using .mean() method.
  2. Use .fit() method to get maximum likelihood estimation for the parameter.

Løsning

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

close

Awesome!

Completion rate improved to 3.7

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