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Showing 1 to 6 of 6 for “"mean estimator"”.
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Analysis of word-order universals using Bayesian phylogenetic inference
… the Bayes Factors computation using the harmonic mean estimator is very unstable, and that many of the results reported by Dunn et al. are irreproducible. We also found that the computation is very sensitive to the accuracy of the data because a one-digit error can alter the Bayes Factors …
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Home range behavior of Roosevelt elk in Strathcona Park
… for each study animal using the harmonic mean estimator of Program Home Range. Three seasonal models (summer, mild winter, and severe winter) of habitat suitability were tested using a non-migratory elk group. A Geographic Information System (GIS) was used to create a digital map of the …
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The Truncated Cauchy Distribution: Estimation of Parameters and Application to Stock Returns
… to a finite interval that the maximum likelihood estimator of the scale parameter fails to exist with positive probability. In particular, necessary and sufficient conditions which give rise to instances of non-existence have been found for the exponential (Deemer and Votaw (1955)), gamma (Broeder …
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Estimation and inference with nonstationary panel data
… is estimated using the panel DOLS and FMOLS estimators of Kao and Chiang (2000) and Pedroni (2000,2001). Using Bai and Kao (2005) we again consider cross-sectional dependence.The second methodological core is the statistical inference of nonstationary panel data, in the last two chapters.In …
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Estimation in Truncated Exponential Family of Distributions
… The non-existence of the maximum likelihood estimator (m.l.e.) with positive probability in certain truncated distributions is not well known. To mention a few results in the literature:</p> <p>(i) Deemer and Votaw 1955 show that the maximum likelihood estimator does not exist in a truncated …
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Portfolio selection in case of high dimensionality
Das Problem der Portfolioauswahl war immer eines der wichtigsten Themen in der Investionstheorie. Das betrifft nicht nur das Verfahren der Portfolioauswahl an sich aber auch die Probleme der Einschätzung des Erwartunswerts und der Kovarianz. Da grosse Datenmenge heutzutage verfügbar ist, wird das …