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                                       Details van artikel 6 van 18 gevonden artikelen
 
 
  Asymptotic expansions for modified maximum likelihood estimators with percentile truncated data
 
 
Titel: Asymptotic expansions for modified maximum likelihood estimators with percentile truncated data
Auteur: Blumenthal, Saul
Verschenen in: Communications in statistics
Paginering: Jaargang 14 (1985) nr. 4 pagina's 905-925
Jaar: 1985-04
Inhoud: Let [image omitted]  be independent, identically distributed random variables with common distribution [image omitted]  known except for the value of θ. Let [image omitted]  be the order statistics, and assume that only the percentiles [image omitted]  are observed where [image omitted]  are given. Also, except for the assumption that [image omitted]  N is also unknown. If N were known, this would represent type II censoring combined with a percentile equivalent of grouping. Estimators f o r both θ and N are found based on maximizing the weighted likelihood function (maximum likelihood being a special case ) . Asymptotic stochastic expansions for [image omitted]  are developed for the case that [image omitted]  (sampling is not truncated ) , and these are used to find expansions for [image omitted]  when N is not known. Expansions for [image omitted]  are developed from those for [image omitted] .The expansions include the second terms which lead t o the usual asymptotic normality results plus a third term which gives a second order bias correction.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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