Contemporary Multivariate Analysis And Design of Experiments (2005) Pdf Free Download

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Technological innovations and exponential increases in computing power have profound impacts on scientific research and development. New technologies allow us to collect data with an unpresredented level of size and complexity. Internet disseminations make large and complex data widely available to statisticians. Statistics has pervaded in every facet of science and engineering. It plays an increasingly important role in computational biology, quantitative finance, information engineering, neuroscience, medicine, and policy making as we enter a new era of quantitative research.

These applications pose new challenges to the design of experiments and the analysis of the resulting multivariate data. At the occasion of the 65th birthday of Professor Kai-Tai Fang, we give these two classical fields of statistics a contemporary outlook.

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