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Applications of Statistical Tools in Human Daily Activities
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139908264
ISBN 13: 9786139908264
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Brossura
Da: moluna, Greven, Germania
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Condizione: 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). . Codice articolo 385876831
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Applications of Statistical Tools in Human Daily Activities
Editore:
LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 6139908264
ISBN 13: 9786139908264
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9786139908264
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Immagini fornite dal venditore
Applications of Statistical Tools in Human Daily Activities
Editore:
LAP LAMBERT Academic Publishing Sep 2018, 2018
ISBN 10: 6139908264
ISBN 13: 9786139908264
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Codice articolo 9786139908264
Quantità: 2 disponibili
Immagini fornite dal venditore
Applications of Statistical Tools in Human Daily Activities
Editore:
LAP LAMBERT Academic Publishing
ISBN 10: 6139908264
ISBN 13: 9786139908264
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9786139908264
Quantità: 1 disponibili