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Statistical Inference in Non-Linear Models in Econometrics

Statistical Inference in Non-Linear Models in Econometrics

von Balasiddamuni Pagadala, J. Prabhakara Naik und Theertham Gangaram
Softcover - 9783659389818
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Beschreibung

In the present book, Chapter-I is an introductory one. It gives general introduction about the nonlinear regression models. A brief review about the existing inferential procedures for nonlinear regression models has been give in Chapter-II. It contains various nonlinear methods, of estimation based on nonlinear least squares and maximum likelihood methods, besides the methods by using some numerical analysis procedures.Chapter-II and IV describe the specification and estimation of some important nonlinear production function models such as Cobb-Douglas, Constant Elasticity of Substitution (CES), Variable Elasticity of Substitution (VES) and Transcedental Logarithmic (Translog) Production functions. Some new Inferential procedures for certain nonlinear regression models have been proposed and developed in Chapter V. The directions for further research along with the conclusions have been presented in Chapter-VI. General selected references regarding nonlinear regression models have been documented under Bibliography.

IIterative Nonlinear Estimation

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 12. Juni 2013
Maße 22 cm x 15 cm x 1.4 cm
Gewicht 328 Gramm
Format Softcover
ISBN-13 9783659389818
Seiten 208