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Estimation

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Abstract

Point estimation concerns making inferences about a quantity that is unknown but about which some information is available, e.g., a fixed quantity 6 for which we have n imperfect measurements x1 …, xn. The theory of estimation deals with how best to use the information (combine the values x1…, xn) to obtain a single number, estimate, for θ, say ##INLINE-EQUATION##. Interval estimation does not reduce the available information to a single number and is a special case of hypothesis testing. This article deals only with point estimation.

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Authors

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John Eatwell Murray Milgate Peter Newman

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© 1990 Palgrave Macmillan, a division of Macmillan Publishers Limited

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Nerlove, M., Diebold, F.X. (1990). Estimation. In: Eatwell, J., Milgate, M., Newman, P. (eds) Time Series and Statistics. The New Palgrave. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-20865-4_8

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  • DOI: https://doi.org/10.1007/978-1-349-20865-4_8

  • Publisher Name: Palgrave Macmillan, London

  • Print ISBN: 978-0-333-49551-3

  • Online ISBN: 978-1-349-20865-4

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