Testing Restrictions in Linear Statistical Models: Restricted Least Squares Estimation - R.v.s.s. Nagabhushana Rao - Grāmatas - LAP LAMBERT Academic Publishing - 9783659502866 - 2014. gada 3. janvāris
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Testing Restrictions in Linear Statistical Models: Restricted Least Squares Estimation

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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".

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2014. gada 3. janvāris
ISBN13 9783659502866
Izdevēji LAP LAMBERT Academic Publishing
Lapas 116
Izmēri 150 × 220 × 10 mm   ·   191 g
Valoda Vācu