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Amazing journey to robust statistics, discovering outliers for efficient prediction


Midi, Habshah (2016) Amazing journey to robust statistics, discovering outliers for efficient prediction. [Inaugural Lecture]

Abstract / Synopsis

In today's society, statistical techniques are being used widely in education, medicine, social sciences, and applied sciences. They are crucial in interpreting data and making decisions. When one makes a statistical inference, it is very crucial to be aware of the assumptions under which the statistical testing procedures can be applied. The assumptions that are common to almost all statistical tests are that the observations are random, independent and identically distributed, come from a normal distribution and they are equally reliable and should have equal role in determining the results. The last assumption implicitly states that there is no outlier in a data set. Outliers are observations which are markedly different or far from the majority of observations.

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Additional Metadata

Item Type: Inaugural Lecture
Divisions: Faculty of Science
Publisher: Universiti Putra Malaysia Press
Keywords: Statistical techniques; Interpreting data and making decisions; Last assumption;
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 14 Mar 2018 14:22
Last Modified: 14 Mar 2018 14:22
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