Inhaltsangabe
This book cares about comparison between some classical and Robust methods to estimate model parameters for the analysis a Categorical data, based on the simulation procedure with application of real data to the best method was diagnosed by simulations. Categorical data found in applications studies as biological and medical. The book deals with the theoretical bases of the mentioned methods and the generation of data for the mathematical model with the addition of the case of contamination or outlier in the random error to demonstrate the efficiency method of fortification. Book included a set of subjects important for postgraduate students and researchers .
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Über die Autorin bzw. den Autor
Prof. Dr. Fadhil Abdul Abbas Al-Aabdi, holds a PhD in statistic from Baghdad University in 2001. He teached several topics for undergraduate and graduate studies. He has many courses with UNESCO and the British Council and a member of the British Management Institute. He is a faculty member in Al-Furat Al-Awsat Technical University.
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Comparison Between Classical and Robust Methods to Categorical Data
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202096136
ISBN 13: 9786202096133
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Comparison Between Classical and Robust Methods to Categorical Data
Verlag:
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202096136
ISBN 13: 9786202096133
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Taschenbuch. Zustand: Neu. Neuware -This book cares about comparison between some classical and Robust methods to estimate model parameters for the analysis a Categorical data, based on the simulation procedure with application of real data to the best method was diagnosed by simulations. Categorical data found in applications studies as biological and medical. The book deals with the theoretical bases of the mentioned methods and the generation of data for the mathematical model with the addition of the case of contamination or outlier in the random error to demonstrate the efficiency method of fortification. Book included a set of subjects important for postgraduate students and researchers .Books on Demand GmbH, Überseering 33, 22297 Hamburg 108 pp. Englisch. Artikel-Nr. 9786202096133
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