Abstract
The roots of inference from record-breaking data lie in Foster and Stuart’s (1954) research. They developed distribution-free tests based on record values to determine if upper records were from an i.i.d sequence of observations (details of the test are presented in the next chapter). After that, however, statistical inference from record-breaking data remained virtually unexplored until the late 1970s when some statisticians started investigating the important and interesting problem of predicting future records.
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© 2003 Springer Science+Business Media New York
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Gulati, S., Padgett, W.J. (2003). Parametric Inference. In: Parametric and Nonparametric Inference from Record-Breaking Data. Lecture Notes in Statistics, vol 172. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21549-5_3
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DOI: https://doi.org/10.1007/978-0-387-21549-5_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-00138-8
Online ISBN: 978-0-387-21549-5
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