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Synopsis
As a contribution to literature, my work is a study to investigate a new way of classifying populations under the exponential power assumption. This was with a view to formulating an exponential power discriminant function and investigating the limiting case in accordance with an existing model. The discriminant function of the exponential power distribution was formulated using the Bayes maximum likelihood theorem The scale, location and the shape parameters were obtained numerically with the aid of Newton method in Matlab and R packages was used to obtain the Linear Discriminant Analysis (LDA) and the Quadractic Discriminant Analysis (QDA) of the data when the covariance matrices are equal and unequal respectively. Likewise Lachenbruch holdout procedure was used to check the error rates,whether it was advisable using the exponential power model or the existing procedure. The study concluded that exponential power distribution was a good replacement for normal distribution because it generalises the normal distribution.
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About the Author
Oladipupo O. Onaseso, M.Sc: Studied Statistics at Obafemi Awolowo University Ile Ife. Lecturer at Moshood Abiola Polytechnic Abeokuta, Ogun State.
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Discriminant Analysis of Data Under Exponential Power Distribution
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LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202027851
ISBN 13: 9786202027854
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As a contribution to literature, my work is a study to investigate a new way of classifying populations under the exponential power assumption. This was with a view to formulating an exponential power discriminant function and investigating the limiting case in accordance with an existing model. The discriminant function of the exponential power distribution was formulated using the Bayes maximum likelihood theorem The scale, location and the shape parameters were obtained numerically with the aid of Newton method in Matlab and R packages was used to obtain the Linear Discriminant Analysis (LDA) and the Quadractic Discriminant Analysis (QDA) of the data when the covariance matrices are equal and unequal respectively. Likewise Lachenbruch holdout procedure was used to check the error rates,whether it was advisable using the exponential power model or the existing procedure. The study concluded that exponential power distribution was a good replacement for normal distribution because it generalises the normal distribution. 88 pp. Englisch. Seller Inventory # 9786202027854
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Discriminant Analysis of Data Under Exponential Power Distribution
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202027851
ISBN 13: 9786202027854
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Paperback. Condition: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Seller Inventory # zk6202027851
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Discriminant Analysis of Data Under Exponential Power Distribution
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ISBN 10: 6202027851
ISBN 13: 9786202027854
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Onaseso OladipupoOladipupo O. Onaseso, M.Sc: Studied Statistics at Obafemi Awolowo University Ile Ife. Lecturer at Moshood Abiola Polytechnic Abeokuta, Ogun State.As a contribution to literature, my work is a study to investigate. Seller Inventory # 385901952
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Discriminant Analysis of Data Under Exponential Power Distribution
Published by
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202027851
ISBN 13: 9786202027854
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As a contribution to literature, my work is a study to investigate a new way of classifying populations under the exponential power assumption. This was with a view to formulating an exponential power discriminant function and investigating the limiting case in accordance with an existing model. The discriminant function of the exponential power distribution was formulated using the Bayes maximum likelihood theorem The scale, location and the shape parameters were obtained numerically with the aid of Newton method in Matlab and R packages was used to obtain the Linear Discriminant Analysis (LDA) and the Quadractic Discriminant Analysis (QDA) of the data when the covariance matrices are equal and unequal respectively. Likewise Lachenbruch holdout procedure was used to check the error rates,whether it was advisable using the exponential power model or the existing procedure. The study concluded that exponential power distribution was a good replacement for normal distribution because it generalises the normal distribution.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Seller Inventory # 9786202027854
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Discriminant Analysis of Data Under Exponential Power Distribution
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202027851
ISBN 13: 9786202027854
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As a contribution to literature, my work is a study to investigate a new way of classifying populations under the exponential power assumption. This was with a view to formulating an exponential power discriminant function and investigating the limiting case in accordance with an existing model. The discriminant function of the exponential power distribution was formulated using the Bayes maximum likelihood theorem The scale, location and the shape parameters were obtained numerically with the aid of Newton method in Matlab and R packages was used to obtain the Linear Discriminant Analysis (LDA) and the Quadractic Discriminant Analysis (QDA) of the data when the covariance matrices are equal and unequal respectively. Likewise Lachenbruch holdout procedure was used to check the error rates,whether it was advisable using the exponential power model or the existing procedure. The study concluded that exponential power distribution was a good replacement for normal distribution because it generalises the normal distribution. Seller Inventory # 9786202027854
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Discriminant Analysis of Data Under Exponential Power Distribution
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202027851
ISBN 13: 9786202027854
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Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Discriminant Analysis of Data Under Exponential Power Distribution | Oladipupo Onaseso (u. a.) | Taschenbuch | 88 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202027854 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 110148776