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An application of Bayesian statistical methods in the detemination of sample size for operational testing in the U S ArmyBaker, Robert Michael 08 1900 (has links)
No description available.
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Random sampling of combinatorial structuresMcShine, Lisa Maria 08 1900 (has links)
No description available.
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An analysis of the risks involved when using statistical sampling in auditing /Labadie, Michel. January 1975 (has links)
No description available.
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Something to do with community structure : the influence of sampling and analysis on measures of community structureAnderson, Barbara J., n/a January 2006 (has links)
Diversity indices confound two components: species richness and evenness. Community structure should therefore be evaluated by employing separate measures of the number of species and their relative abundances. However, the relative abundances of species are dependent on the abundance measure used. Although the use of biomass or productivity is recommended by theory, in practice a surrogate measure is more often used. Frequency (local or relative) and point-quadrat cover provide two objective measures of abundance which are fast, less destructive and avoid problems associated with distinguishing individuals. However, both give discrete bounded data which may further alter the relative abundances of species. These measures have a long history of use and, as the need for objective information on biodiversity becomes more pressing, their use is likely to become more widespread. Consequently, it seems appropriate to investigate the effect of these abundance measures, and the resolution at which they are used, on calculated evenness.
Field, artificial and simulated data were used to investigate the effect of abundance measure and resolution on evidence for community structure. The field data consisted of seventeen sites. Sites from four vegetation types (saltmeadow, geothermal, ultramafic and high-altitude meadow) were sampled in three biogeographical regions. Most of the indices of community structure (species richness, diversity and evenness) detected differences between the different vegetation types, and different niche-apportionment models were fitted to the field data from saltmeadow and geothermal vegetation. Estimates of community structure based on local frequency and point-quadrat data differed. Local frequency tended to give higher calculated evenness; whereas point-quadrat data tended to fit to niche apportionment models where local frequency data failed.
The effect of resolution on the eighteen evenness indices investigated depended on community species richness and the particular index used. The investigated evenness indices were divided into three groups (symmetric, continuous and traditional indices) based on how they ranked real and artificially constructed communities. Contrary to Smith and Wilson�s recommendation the symmetric indices E[VAR] and E[Q] proved unsuitable for use with most types of plant data. In particular, E[Q] tends to assign most communities low values and has a dubious relationship with intrinsic evenness. The continuous indices, E[MS] and E[2,1], were the indices best able to discriminate between field, artificial and simulated communities, and their use should be re-evaluated. Traditional indices used with low resolution tended to elevate the calculated evenness, especially in species-rich communities. The relativized indices, E[Hurlbert] and EO[dis], were an exception, as they were always able to attain the minimum of zero; however, they were more sensitive to changes in resolution, particularly when resolution was low. Overall, traditional indices based on Hill�s ratios, including E[1/D] (=E[2,0]), and G[2,1] gave the best performance, while the general criticism of the use of Pielou�s J� as an index of evenness was further substantiated by this study. As a final recommendation, ecologists are implored to investigate their data and the likely effects that sampling and analysis have had on the calculated values of their indices.
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Topics in Bayesian sample size determination and Bayesian model selectionCheng, Dunlei. Stamey, James D. January 2007 (has links)
Thesis (Ph.D.)--Baylor University, 2007. / Includes bibliographical references (p. 84-87).
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Intelligent sampling over wireless sensor networks /Zhuang, Yongzhen. January 2008 (has links)
Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2008. / Includes bibliographical references (leaves 123-129). Also available in electronic version.
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Incorporating measurement error and density gradients in distance sampling surveys /Marques, Tiago André. January 2007 (has links)
Thesis (Ph.D.) - University of St Andrews, September 2007.
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Comparison of methods for developing estimated parameter X̄ control charts propsed by Nedumaran & Pignatiello, Albers & Kallenberg and Tsai et al.Temiz, Ozlem. January 2008 (has links)
Thesis (M.S.)--Cleveland State University, 2008. / Abstract. Title from PDF t.p. (viewed on May 8, 2008). Includes bibliographical references (p. 42-46). Available online via the OhioLINK ETD Center. Also available in print.
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Parameter estimation in a class of power distributionsLund, David R. January 1967 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1967. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 155-158).
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A study of Saddlepoint-based resampling methods /Wong, Oi-ling, Irene, January 2000 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 93-97).
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