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Testing Restrictions in Linear Statistical Models: Restricted Least Squares Estimation R.v.s.s. Nagabhushana Rao
Testing Restrictions in Linear Statistical Models: Restricted Least Squares Estimation
R.v.s.s. Nagabhushana Rao
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".
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 3 de enero de 2014 |
| ISBN13 | 9783659502866 |
| Editores | LAP LAMBERT Academic Publishing |
| Páginas | 116 |
| Dimensiones | 150 × 220 × 10 mm · 191 g |
| Lengua | Alemán |