Show Summary Details
Page of

date: 24 July 2021

p. 755. Estimation and inferencelocked

p. 755. Estimation and inferencelocked

  • David J. Hand


‘Estimation and inference’ shows how statistics can be used to make statements about unobserved values. Point estimations can be made in a variety of ways, for instance the maximum likelihood approach, least squares estimation, posterior distributions, and the Bayesian approach. The reliability of each estimate can be assessed through its bias and mean squared error. Interval estimations give a range of values which we can be confident contains the true value (in Bayesian methods the credibility interval is calculated). Statistics can be used to test hypotheses, either by comparing a null and alternative hypothesis, or by accepting or rejecting a null hypothesis based on p-values.

Access to the complete content on Very Short Introductions online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can't find the answer there, please contact us.