exercise:D9855c5ec9: Difference between revisions

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(Created page with "<div class="d-none"><math> \newcommand{\NA}{{\rm NA}} \newcommand{\mat}[1]{{\bf#1}} \newcommand{\exref}[1]{\ref{##1}} \newcommand{\secstoprocess}{\all} \newcommand{\NA}{{\rm NA}} \newcommand{\mathds}{\mathbb}</math></div> A drug is assumed to be effective with an unknown probability <math>p</math>. To estimate <math>p</math> the drug is given to <math>n</math> patients. It is found to be effective for <math>m</math> patients. The ''method of maximum likelihood''...")
 
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<div class="d-none"><math>
A drug is assumed to be effective with an unknown probability <math>p</math>.  To estimate <math>p</math> the drug is given to <math>n</math> patients.  It is found to be effective for <math>m</math> patients.  The ''method of maximum likelihood''  
\newcommand{\NA}{{\rm NA}}
\newcommand{\mat}[1]{{\bf#1}}
\newcommand{\exref}[1]{\ref{##1}}
\newcommand{\secstoprocess}{\all}
\newcommand{\NA}{{\rm NA}}
\newcommand{\mathds}{\mathbb}</math></div> A drug is assumed to be effective with an unknown probability
<math>p</math>.  To estimate <math>p</math> the drug is given to <math>n</math> patients.  It is found to be effective
for <math>m</math> patients.  The ''method of maximum likelihood''  
for estimating <math>p</math> states that we should choose the value for <math>p</math> that gives the  
for estimating <math>p</math> states that we should choose the value for <math>p</math> that gives the  
highest probability of getting what we got on the experiment.  Assuming that the experiment  
highest probability of getting what we got on the experiment.  Assuming that the experiment  
can be considered as a Bernoulli trials process with probability <math>p</math> for success, show  
can be considered as a Bernoulli trials process with probability <math>p</math> for success, show  
that the maximum likelihood estimate for <math>p</math> is the proportion <math>m/n</math> of successes.
that the maximum likelihood estimate for <math>p</math> is the proportion <math>m/n</math> of successes.

Latest revision as of 23:07, 12 June 2024

A drug is assumed to be effective with an unknown probability [math]p[/math]. To estimate [math]p[/math] the drug is given to [math]n[/math] patients. It is found to be effective for [math]m[/math] patients. The method of maximum likelihood for estimating [math]p[/math] states that we should choose the value for [math]p[/math] that gives the highest probability of getting what we got on the experiment. Assuming that the experiment can be considered as a Bernoulli trials process with probability [math]p[/math] for success, show that the maximum likelihood estimate for [math]p[/math] is the proportion [math]m/n[/math] of successes.