Maximum Likelihood

Maximum Likelihood

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Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, maximum-likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum-likelihood estimation provides estimates for the model's parameters.The method of maximum likelihood corresponds to many well-known estimation methods in statistics. For example, one may be interested in the heights of adult female giraffes, but be unable due to cost or time constraints, to measure the height of every single giraffe in a population. Assuming that the heights are normally (Gaussian) distributed with some unknown mean and variance, the mean and variance can be estimated with MLE while only knowing the heights of some sample of the overall population. MLE would accomplish this by taking the mean and variance as parameters and finding particular parametric values that make the observed results the most probable (given the model).show more

Product details

  • Paperback | 64 pages
  • 152 x 229 x 4mm | 104g
  • Lect Publishing
  • United States
  • English
  • 6135798774
  • 9786135798777