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How do you calculate likelihood? - Answers

Likelihood is calculated by assessing the probability of observing the given data under a specific statistical model. Mathematically, it is expressed as the likelihood function, which is the joint probability of the observed data as a function of the model parameters. For independent observations, the likelihood is the product of the probabilities for each observation. Maximizing the likelihood function helps in estimating the parameters that best fit the data.



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How do you calculate likelihood? - Answers

https://math.answers.com/math-and-arithmetic/How_do_you_calculate_likelihood

Likelihood is calculated by assessing the probability of observing the given data under a specific statistical model. Mathematically, it is expressed as the likelihood function, which is the joint probability of the observed data as a function of the model parameters. For independent observations, the likelihood is the product of the probabilities for each observation. Maximizing the likelihood function helps in estimating the parameters that best fit the data.



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https://math.answers.com/math-and-arithmetic/How_do_you_calculate_likelihood

How do you calculate likelihood? - Answers

Likelihood is calculated by assessing the probability of observing the given data under a specific statistical model. Mathematically, it is expressed as the likelihood function, which is the joint probability of the observed data as a function of the model parameters. For independent observations, the likelihood is the product of the probabilities for each observation. Maximizing the likelihood function helps in estimating the parameters that best fit the data.

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      Likelihood is calculated by assessing the probability of observing the given data under a specific statistical model. Mathematically, it is expressed as the likelihood function, which is the joint probability of the observed data as a function of the model parameters. For independent observations, the likelihood is the product of the probabilities for each observation. Maximizing the likelihood function helps in estimating the parameters that best fit the data.

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