{"product_id":"statistical-criteria-for-selection-of-functional-forms-in-regression-analysis","title":"STATISTICAL CRITERIA FOR SELECTION OF FUNCTIONAL FORMS IN REGRESSION ANALYSIS","description":"\u003cp\u003e\u003cstrong\u003eAbout the Book\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe book Statistical Criteria for Selection of Functional Forms in Regression Analysis presents a comprehensive and rigorous treatment of regression modeling with special emphasis on choosing appropriate functional forms and models. It begins with the fundamental theory of linear regression, explaining classical assumptions, estimation through ordinary and restricted least squares, and the consequences of assumption violations. The authors carefully develop the mathematical foundations needed for regression analysis, including matrix methods and the Kronecker product, to handle complex systems of equations. A major focus of the book is on criteria for selecting regressors and models, where methods based on mean square error, prediction accuracy, and information criteria such as AIC, BIC, and related measures are discussed. The text also emphasizes diagnostic testing, residual analysis, and model adequacy to ensure reliable inference. Beyond linear models, the book explores nonlinear regression, alternative functional forms such as logarithmic, polynomial, exponential, and Cobb–Douglas models, and advanced systems like Seemingly Unrelated Regression Equations (SURE). New methodologies for selecting the best functional form using goodness-of-fit measures and feasible GLS estimation are proposed and evaluated. Overall, the book bridges theory and application, offering a valuable reference for postgraduate students, researchers, and practitioners interested in accurate regression model specification and selection.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAbout the Author \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDr. K. Naga Vihari, M.Sc., B.Ed., M.Phil., Ph.D.\u003cbr\u003eAssociate Professor\u003cbr\u003eDepartment of MBA\u003cbr\u003eInternational Institute of Business Studies\u003cbr\u003eBengaluru North-562110.\u003cbr\u003eMail ID: viharinaga@gmail.com\u003cbr\u003eviharinaga@iibsonline.com\u003c\/p\u003e\n\u003cp\u003e\"Dr. M. Naresh, M.Sc., Ph.D.\u003cbr\u003eAssistant Professor(C)\u003cbr\u003eDepartment of Statistics\u003cbr\u003eSri Venkateswara University\u003cbr\u003eTirupati-517502.\u003cbr\u003eMail ID: naresh.ygr@gmail.com\u003c\/p\u003e","brand":"Classic Shelf","offers":[{"title":"Default Title","offer_id":49324603572461,"sku":null,"price":233.75,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0765\/3520\/2029\/files\/shopifyfrontcover_edd89380-4906-4be0-8224-ccce354a820c.jpg?v=1769855559","url":"https:\/\/classicshelf.in\/products\/statistical-criteria-for-selection-of-functional-forms-in-regression-analysis","provider":"Classic Shelf","version":"1.0","type":"link"}