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A broad and unified methodology for robust statistics—with exciting new applications
Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures.
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Robust Statistical Procedures: Asymptotics and Interrelations
April 5, 1996, Wiley-Interscience
in English
0471822213 9780471822219
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"In this chapter we focus on robust statistical inference for the classical linear models."
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