Spelling suggestions: "subject:"[een] STATISTICAL METHODS"" "subject:"[enn] STATISTICAL METHODS""
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Estimating population size for capture-recapture/removal models with heterogeneity and auxiliary informationXi, Liqun., 奚李群. January 2004 (has links)
published_or_final_version / abstract / toc / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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Modeling mortality assumptions in actuarial scienceLi, Siu-hang., 李兆恆. January 2004 (has links)
published_or_final_version / abstract / toc / Statistics and Actuarial Science / Master / Master of Philosophy
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Some practical issues in estimation based on a ranked set sample譚玉貞, Tam, Yuk-ching. January 1999 (has links)
published_or_final_version / Statistics / Master / Master of Philosophy
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Statistical analysis for capture-recapture experiments in discrete time尹再英, Wan, Choi-ying. January 2001 (has links)
published_or_final_version / Statistics and Actuarial Science / Master / Master of Philosophy
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Mosaics of dividing cells陳楚嘉, Chen, Chu-ka. January 1998 (has links)
published_or_final_version / Statistics / Master / Master of Philosophy
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Alignment models and algorithms for statistical machine translationBrunning, James Jonathan Jesse January 2010 (has links)
No description available.
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Sampling for estimating characteristics of mackerel in northeast BrazilAlbuquerque, José Jackson Lima de, 1937- January 1969 (has links)
No description available.
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The effect of additional information on mineral deposit geostatistical grade estimates /Milioris, George J. (George Joseph) January 1983 (has links)
No description available.
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Grammar- and optimization-based mechanical packagingLomangino, F. Paul 05 1900 (has links)
No description available.
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Multivariate morphometric analysis of seasonal changes in overwintering arctic charr (Salvelinus alpinus L.)Idrus, Muhammad Rijal. January 1996 (has links)
This study developed a robust technique for the assessment of morphometric differences among overwintering northern fish populations. Arctic charr were sampled soon before the freeze-up and just after ice break-up at two subarctic Quebec lakes. A homogenous sample of 397 fish was used. Regression analyses of the length-weight relationships and their derived condition indices were insufficient, due to their inherent limitations, to recognize the differences between sampling groups. A series of multivariate analyses (canonical, stepwise and discriminant analysis), based on eleven morphometric characters of the fish, provided a better assessment. The analysis recognized the distinctions between sampling groups, correctly classified 70-100% of the fish into their appropriate groupings, and indicated that body height measured at the anal opening was the most discriminatory variable. Landmark variables related to shape differences were effective in discriminating fish according to their lake of origin, whereas length and weight variables, which closely reflected the size differences, were better at distinguishing seasonal changes. The study provides a simple, efficient assessment method based on phenotypic variations to explain different survival strategies, and the associated life history traits, adopted by fish.
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