A Note on Enhancement-Synergism: Reverse inequality between the coefficient of determination and the sum of squared correlation coefficient

 
9783639281910: A Note on Enhancement-Synergism: Reverse inequality between the coefficient of determination and the sum of squared correlation coefficient

This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model's effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity.

"synopsis" may belong to another edition of this title.

About the Author:

Kausik K. Bhadra is Project Associate, at National Institute of Public Finance and Policy (NIPFP), New Delhi, India. He received his Master's degree in 2006 at Vidyasagar University, India, specializing in Econometrics. Mr. Bhadra is currently involved in research and writing on Indian Sub national Public Finance in times of recession.

"About this title" may belong to another edition of this title.

Buy New View Book
List Price: US$ 64.00
US$ 48.90

Convert Currency

Shipping: US$ 7.91
From United Kingdom to U.S.A.

Destination, Rates & Speeds

Add to Basket

Top Search Results from the AbeBooks Marketplace

1.

Kausik Kumar Bhadra
Published by VDM Verlag 2010-07-29 (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New paperback Quantity Available: > 20
Seller:
Blackwell's
(Oxford, OX, United Kingdom)
Rating
[?]

Book Description VDM Verlag 2010-07-29, 2010. paperback. Book Condition: New. Bookseller Inventory # 9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 48.90
Convert Currency

Add to Basket

Shipping: US$ 7.91
From United Kingdom to U.S.A.
Destination, Rates & Speeds

2.

Kumar Bhadra, Kausik
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Quantity Available: 1
Seller:
Rating
[?]

Book Description Book Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Reverse inequality between the coefficient of determination and the sum of squared correlation coefficient | This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model's effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. | Format: Paperback | Language/Sprache: english | 60 pp. Bookseller Inventory # K9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.05
Convert Currency

Add to Basket

Shipping: US$ 3.52
From Germany to U.S.A.
Destination, Rates & Speeds

3.

Kumar Bhadra, Kausik
Published by VDM Verlag (2016)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Paperback Quantity Available: 1
Print on Demand
Seller:
Ria Christie Collections
(Uxbridge, United Kingdom)
Rating
[?]

Book Description VDM Verlag, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9783639281910_lsuk

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 58.00
Convert Currency

Add to Basket

Shipping: US$ 5.10
From United Kingdom to U.S.A.
Destination, Rates & Speeds

4.

Kausik Kumar Bhadra
Published by VDM Verlag (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Quantity Available: > 20
Print on Demand
Seller:
Pbshop
(Wood Dale, IL, U.S.A.)
Rating
[?]

Book Description VDM Verlag, 2010. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.38
Convert Currency

Add to Basket

Shipping: US$ 3.99
Within U.S.A.
Destination, Rates & Speeds

5.

Kausik Kumar Bhadra
Published by VDM Verlag (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Quantity Available: > 20
Print on Demand
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description VDM Verlag, 2010. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # LQ-9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 55.10
Convert Currency

Add to Basket

Shipping: US$ 11.88
From United Kingdom to U.S.A.
Destination, Rates & Speeds

6.

Kausik Kumar Bhadra
Published by VDM Verlag Aug 2010 (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Taschenbuch Quantity Available: 2
Seller:
Agrios-Buch
(Bergisch Gladbach, Germany)
Rating
[?]

Book Description VDM Verlag Aug 2010, 2010. Taschenbuch. Book Condition: Neu. Neuware - This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model's effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. 60 pp. Englisch. Bookseller Inventory # 9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.46
Convert Currency

Add to Basket

Shipping: US$ 20.19
From Germany to U.S.A.
Destination, Rates & Speeds

7.

Kausik Kumar Bhadra
Published by VDM Verlag Aug 2010 (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Taschenbuch Quantity Available: 2
Seller:
Rheinberg-Buch
(Bergisch Gladbach, Germany)
Rating
[?]

Book Description VDM Verlag Aug 2010, 2010. Taschenbuch. Book Condition: Neu. Neuware - This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model's effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. 60 pp. Englisch. Bookseller Inventory # 9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.46
Convert Currency

Add to Basket

Shipping: US$ 20.19
From Germany to U.S.A.
Destination, Rates & Speeds

8.

Kausik Kumar Bhadra
Published by VDM Verlag
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Paperback Quantity Available: > 20
Seller:
BuySomeBooks
(Las Vegas, NV, U.S.A.)
Rating
[?]

Book Description VDM Verlag. Paperback. Book Condition: New. Paperback. 60 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the models effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3. A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 91.55
Convert Currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, Rates & Speeds

9.

Kausik Kumar Bhadra
Published by VDM Verlag, Germany (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Paperback Quantity Available: > 20
Print on Demand
Seller:
The Book Depository EURO
(London, United Kingdom)
Rating
[?]

Book Description VDM Verlag, Germany, 2010. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model s effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. Bookseller Inventory # AAV9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 88.99
Convert Currency

Add to Basket

Shipping: US$ 3.96
From United Kingdom to U.S.A.
Destination, Rates & Speeds

10.

Kausik Kumar Bhadra
Published by VDM Verlag Aug 2010 (2010)
ISBN 10: 3639281918 ISBN 13: 9783639281910
New Taschenbuch Quantity Available: 1
Print on Demand
Seller:
AHA-BUCH GmbH
(Einbeck, Germany)
Rating
[?]

Book Description VDM Verlag Aug 2010, 2010. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand Neuware - This paper focuses on the surprising reverse inequality (enhancement-synergism) between coefficient of determination and the sum of two squared simple correlation coefficients in a two variable regression model. This condition significantly reduces the model's effectiveness and can direct misleading results. It has been observed that enhancement-synergism is more likely than non enhancement-synergism which is presented by a unifying box (Box 3.A). If the joint contribution of two explanatory variables is incremental over simple correlation then we encounter the condition of enhancement-synergism and in normal case where coefficient of determination is less than the sum of squared correlation coefficients, then the joint correlation is incremental over incremental correlation, which is presented by two mathematical examples. When the partial r-square value is greater than its simple r-square value of a variable then the enhancement-synergism condition occurs. A concise and easily understandable graphical and mathematical example provided to show the direct dependency of enhancement-synergism on the extent of the problem of multicollinearity. 60 pp. Englisch. Bookseller Inventory # 9783639281910

More Information About This Seller | Ask Bookseller a Question

Buy New
US$ 59.46
Convert Currency

Add to Basket

Shipping: US$ 34.78
From Germany to U.S.A.
Destination, Rates & Speeds