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Computational modeling for stress analysis of overhead transmission line stranded conductors under design and fretting fatigue conditionsQi, Gang January 2014 (has links)
No description available.
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Time series measurement of force distribution in ice hockey helmets during varying impact conditionsOuckama, Ryan January 2013 (has links)
No description available.
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Whole-body predictors of wrist shot accuracy in ice hockey: a kinematic analysis by way of motion captureMagee, Patrick January 2009 (has links)
No description available.
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Force and centre of pressure measurements during ice hockey skating with a regular and a modfied ice hockey skateLe Ngoc, Chau January 2013 (has links)
No description available.
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Active vibration and buckling control of piezoelectric smart structuresWang, Qishan January 2013 (has links)
No description available.
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Functional mechanical assessment of foot and ankle stiffness and work production in ice hockey skate bootsBaig, Zubair January 2011 (has links)
No description available.
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Skating mechanics of change of direction maneuvers in hockey playersFortier, Antoine January 2011 (has links)
No description available.
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Statistical analysis and forecasting of sea ice conditions in Canadian watersGarrigues, Laurent January 2001 (has links)
No description available.
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The dynamic interaction of hand grip and ice hockey stick flexion during slap shots and wrist shotsFlemming, Andrew January 2015 (has links)
No description available.
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Testing an assumed distributionWong, Tze-yue 04 1900 (has links)
<p>Testing for an assumed distribution has been a major area of statistical research, both in theory and in practice. A reason for this interest is that many statistical procedures are based on certain distributional assumptions. Two new statistics, BN and BL, are suggested in this thesis for testing for normal and logistic distributions. The formulation of these statistics is based on the best linear unbiased estimator of the population scale parameter δ, using order statistics. The distributions of BN and BL tend to normal very rapidly, effectively for sample size n ≥ 20. In general, BN and BL have good power properties. They are particularly sensitive in testing against skew distributions or symmetric distributions with large kurtosis. The power of BN is comparable with other available test-statistics.</p> / Master of Science (MS)
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