Regression analysis is one of the most widely used statistical techniques for establishing relationships between two or more variables. Regression analysis has become an increasing important powerful tool in the subject of applied statistics. In recent years the popularity of applied regression analysis has dramatically been rising up. To apply the regression analysis effectively. Statisticians need to aware and usage of several diagnostic measures for detecting violations of the assumptions about the model, model specification, detecting the presence of outliers, performance and validation of regression models. Residual analysis helps to the detect possible defects in the specification of the regression model and my suggest an improved respecification of the model.The central themes in the regression analysis are building models assessing fit, reliability and drawing conclusions. Regression analysis techniques are applied in almost every field of study, including social sciences, physical sciences, life & biological sciences, business economics, technology and humanities, engineering and management sciences
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Working as associate professor in Spirits College of MCA and MBA, Kadapa, A.P, India. He has 10 years of teaching experience. He has published 5 papers in international journals and 7 research papers were presented at national/international conferences and seminars.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regression analysis is one of the most widely used statistical techniques for establishing relationships between two or more variables. Regression analysis has become an increasing important powerful tool in the subject of applied statistics. In recent years the popularity of applied regression analysis has dramatically been rising up. To apply the regression analysis effectively. Statisticians need to aware and usage of several diagnostic measures for detecting violations of the assumptions about the model, model specification, detecting the presence of outliers, performance and validation of regression models. Residual analysis helps to the detect possible defects in the specification of the regression model and my suggest an improved respecification of the model.The central themes in the regression analysis are building models assessing fit, reliability and drawing conclusions. Regression analysis techniques are applied in almost every field of study, including social sciences, physical sciences, life & biological sciences, business economics, technology and humanities, engineering and management sciences 424 pp. Englisch. Seller Inventory # 9783659372193
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Orsu Hari BabuWorking as associate professor in Spirits College of MCA and MBA, Kadapa, A.P, India. He has 10 years of teaching experience. He has published 5 papers in international journals and 7 research papers were presented at n. Seller Inventory # 5151845
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Taschenbuch. Condition: Neu. Inferential Aspects of Regression Models | Modified Tests for Non Normal Errors | Hari Babu Orsu (u. a.) | Taschenbuch | 424 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659372193 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 106007081
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Regression analysis is one of the most widely used statistical techniques for establishing relationships between two or more variables. Regression analysis has become an increasing important powerful tool in the subject of applied statistics. In recent years the popularity of applied regression analysis has dramatically been rising up. To apply the regression analysis effectively. Statisticians need to aware and usage of several diagnostic measures for detecting violations of the assumptions about the model, model specification, detecting the presence of outliers, performance and validation of regression models. Residual analysis helps to the detect possible defects in the specification of the regression model and my suggest an improved respecification of the model.The central themes in the regression analysis are building models assessing fit, reliability and drawing conclusions. Regression analysis techniques are applied in almost every field of study, including social sciences, physical sciences, life & biological sciences, business economics, technology and humanities, engineering and management sciencesBooks on Demand GmbH, Überseering 33, 22297 Hamburg 424 pp. Englisch. Seller Inventory # 9783659372193
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Regression analysis is one of the most widely used statistical techniques for establishing relationships between two or more variables. Regression analysis has become an increasing important powerful tool in the subject of applied statistics. In recent years the popularity of applied regression analysis has dramatically been rising up. To apply the regression analysis effectively. Statisticians need to aware and usage of several diagnostic measures for detecting violations of the assumptions about the model, model specification, detecting the presence of outliers, performance and validation of regression models. Residual analysis helps to the detect possible defects in the specification of the regression model and my suggest an improved respecification of the model.The central themes in the regression analysis are building models assessing fit, reliability and drawing conclusions. Regression analysis techniques are applied in almost every field of study, including social sciences, physical sciences, life & biological sciences, business economics, technology and humanities, engineering and management sciences. Seller Inventory # 9783659372193
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