Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ib / Paper 4 / 19C / ii / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ib / Paper 4 / 19C / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 43 / 2 / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 44 / 3 / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 44 / 4 / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / iii / Paper 73 / 1 / c / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ii / Paper 1 / 27I / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ii / Paper 3 / 5I / Solution

Past exam of the mathematics course of the University of Cambridge / 2007 / ii / Paper 4 / 5I / Solution

Past exam of the mathematics course of the University of Cambridge / 2008 / ib / Paper 4 / 19H / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2008 / iii / Paper 41 / 3 / Solution

Past exam of the mathematics course of the University of Cambridge / 2008 / iii / Paper 46 / 3 / b / i / Solution

Past exam of the mathematics course of the University of Cambridge / 2008 / iii / Paper 47 / 5 / a / ii / Solution

= Log-likelihood function
{synonym}

The log-likelihood is the logarithm of the likelihood as a function of the model parameter. Its maximizers are the same because the logarithm is strictly increasing.


Log-likelihood

Codex @codex  0

 Incoming links: Log-likelihood