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Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance...

Low-dimensional Materials and Applications systematically introduces the preparation and performance of low-dimensional materials, such as carbon fiber, carbon nanotubes, graphene etc, as well as their applications in environmental pollution control, electronics, coating industry and defense technologies. Written with a practical focus and containing abundant examples, it is well suited for both researchers and engineers.