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by
Cheng, Edward K., author.
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complex litigation involving multiple firms. It investigates optimization and statistical approaches that
by
Li, Xiaomao, author.
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The recent years witnessed a surge in the intellectual interest of statistical methods for
by
Wilcox, Rand R.
ScienceDirect http://www.sciencedirect.com/science/book/9780127515410
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Applying Contemporary Statistical Techniques explains why traditional statistical methods are often
by
Lu, Junwei, author.
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challenging problems on the uncertainty assessment and replicability analysis for statistical methods
by
Zhong, Yi, author.
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biological datasets and the statistical methods to analyze such data; (2) several statistical and machine
by
Shi, Huwenbo, author.
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these data. This dissertation presents four statistical methods that model the correlation structure
by
Natarajan, Balasubramaniam, author.
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. The efficacy of kernel based methods depend both on the kernel choice and the smoothing parameter
by
Nguyen, Yet, author.
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This dissertation is a collection of four papers on the development of statistical methods for the
by
Derpanopoulos, George, author.
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unstable portfolios with extreme weights. This study reviews and evaluates several methods for altering MPT
by
Lu, Feihan, author.
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address using conventional methods. In this dissertation, we propose Bayesian modeling strategies to
by
Ellis, Amanda R., author.
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capture histories being fixed. The methods properly account for uncertainty in the matching process and
by
Wu, Jianzhong. editor.
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Variational Methods in Statistical Thermodynamics – A Pedagogical Introduction -- Square

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