Testing Restrictions In Linear Statistical Models: Restricted Least Squares Estimation - Brossura

Vara Prasad, K.V.S.D.P.; Pagadala, Balasiddamuni; Nagabhushana Rao, R.V.S.S.

 
9783659502866: Testing Restrictions In Linear Statistical Models: Restricted Least Squares Estimation

Sinossi

In the Present Book Chapter - I is an introductory one. It contains the general introduction about the problem of testing linear restrictions on the parameters of the linear regression models, Chapter - II describes the concept and the estimation of parameters of linear model subject to the linear restrictions. Chapter - III deals with the review about the various tests for linear restrictions in the linear statistical models including Wald, Likelihood Ratio and Lagrange Multiplier tests. Chapter - IV gives the details about the various problems of testing equality between sets of regression coefficients in linear regression models, Chapter - V proposes some new criteria for testing linear restrictions on parameters in linear statistical models. Chapter - VI presents the conclusions. Several selected references for the present research work have been given under the title "BIBLIOGRAPHY".

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L'autore

He is a Associate Professor in Statistics, Department of Statistics, S.V.G.S Degree College Nellore, SPSR NELLORE District. He has 29 years of Teaching and Research Expereience. He published 1 book, 5 articles in International Journals. He presented 11 research papers in various National /International Conferences, Seminars and Symposiums.

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