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2022
AbstractThe chapter provides a very short introduction to parameter estimation with least squares. It then introduces the method of maximum likelihood, focusing on its conceptual basis and use in hypothesis testing, and illustrates it with examples involving analytical and numerical methods.
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AbstractThe chapter provides a very short introduction to parameter estimation with least squares. It then introduces the method of maximum likelihood, focusing on its conceptual basis and use in hypothesis testing, and illustrates it with examples involving analytical and numerical methods.
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2006
Parameters are numbers which characterize random variables. They make possible the summarizing description of the observations, serve as the basis of statistical decisions and are calculated from the data. Point estimations and confidence estimations are introduced. Samples of the observed random variable are a starting point.
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Parameters are numbers which characterize random variables. They make possible the summarizing description of the observations, serve as the basis of statistical decisions and are calculated from the data. Point estimations and confidence estimations are introduced. Samples of the observed random variable are a starting point.
openaire +2 more sources
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly