Applications of Statistical Tools in Human Daily Activities - Couverture souple

Babasola, Oluwatosin ; Onoja, Anthony

9786139908264: Applications of Statistical Tools in Human Daily Activities

Couverture souple

ISBN 10 : 6139908264 ISBN 13 : 9786139908264

Editeur : LAP LAMBERT Academic Publishing, 2018

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2018
Langue: anglais
ISBN 10: 6139908264
ISBN 13: 9786139908264
Reliure: Broch�
Nombre de pages: 56
Coordonn�es du fabricant: non disponible
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Applications of Statistical Tools in Human Daily Activities

Oluwatosin Babasola

Edit� par LAP LAMBERT Academic Publishing Sep 2018, 2018

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Vital information is usually lost during ordinal classification problems that incur misclassification error which affects predictions. In an attempt to minimize this error, this study investigates the effectiveness of adopting Linear Quadratic Discriminant Analysis method in the classification of ordinal dataset problem involving three group cases. In predictions of Food Security Status, there is a need to employ a powerful statistical tool that can correctly classify a household based on the Food Consumption Scores Profile indicator into 'Poor', 'Borderline' and 'Acceptable'. The approach was used to classify food security status of two counties in region of Kenya. The summary classification results showed that 89.9% of the original grouped cases were correctly classified while 89.1% of the cross-validation grouped cases were correctly classified. This approach can be employed by major International Organizations and Government of nations in their quest to minimize hunger and starvation all over the world. 56 pp. Englisch. N� de r�f. du vendeur 9786139908264

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Applications of Statistical Tools in Human Daily Activities

Babasola, Oluwatosin

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Babasola, Oluwatosin

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Babasola, Oluwatosin

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Applications of Statistical Tools in Human Daily Activities

Oluwatosin Babasola|Anthony Onoja

Edit� par LAP LAMBERT Academic Publishing, 2018

ISBN 10 : 6139908264 ISBN 13 : 9786139908264

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Babasola OluwatosinBabasola O. LBSc, MSc Mathematics (Unilorin), MSc Mathematical Sciences (AIMS), MSc Fin. Maths (PAUSTI). . N� de r�f. du vendeur 385876831

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Applications of Statistical Tools in Human Daily Activities

Oluwatosin Babasola

Edit� par LAP LAMBERT Academic Publishing Sep 2018, 2018

ISBN 10 : 6139908264 ISBN 13 : 9786139908264

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Vital information is usually lost during ordinal classification problems that incur misclassification error which affects predictions. In an attempt to minimize this error, this study investigates the effectiveness of adopting Linear Quadratic Discriminant Analysis method in the classification of ordinal dataset problem involving three group cases. In predictions of Food Security Status, there is a need to employ a powerful statistical tool that can correctly classify a household based on the Food Consumption Scores Profile indicator into 'Poor', 'Borderline' and 'Acceptable'. The approach was used to classify food security status of two counties in region of Kenya. The summary classification results showed that 89.9% of the original grouped cases were correctly classified while 89.1% of the cross-validation grouped cases were correctly classified. This approach can be employed by major International Organizations and Government of nations in their quest to minimize hunger and starvation all over the world.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 56 pp. Englisch. N� de r�f. du vendeur 9786139908264

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Applications of Statistical Tools in Human Daily Activities

Oluwatosin Babasola

Edit� par LAP LAMBERT Academic Publishing

ISBN 10 : 6139908264 ISBN 13 : 9786139908264

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Vital information is usually lost during ordinal classification problems that incur misclassification error which affects predictions. In an attempt to minimize this error, this study investigates the effectiveness of adopting Linear Quadratic Discriminant Analysis method in the classification of ordinal dataset problem involving three group cases. In predictions of Food Security Status, there is a need to employ a powerful statistical tool that can correctly classify a household based on the Food Consumption Scores Profile indicator into 'Poor', 'Borderline' and 'Acceptable'. The approach was used to classify food security status of two counties in region of Kenya. The summary classification results showed that 89.9% of the original grouped cases were correctly classified while 89.1% of the cross-validation grouped cases were correctly classified. This approach can be employed by major International Organizations and Government of nations in their quest to minimize hunger and starvation all over the world. N� de r�f. du vendeur 9786139908264

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