The growth rates are being estimated mostly through the linear or exponential functions. A number of research publications have used this procedure in various situations and estimated growth rates which is being used by planners or policy makers. However, the data may not be following these linear or expoenential models or may require fitting of higher degree polynomials or non-linear models. Further, these models lack the econometric consideration i.e. normality of residuals and randomness. As such, it is necessary to make a critical review of the existing methodologies used for estimation of growth rates and to propose appropriate alternatives. The present study is an attempt by way of putting forth the methodology for the computation of the growth rates based on these statistical criteria as well as econometric criteria. The proposed methodlogy is based on the econometric considerations satisfying the assumptions of the ordinary Least Squares Method about the random error term. The proposed procedure can be used to estimate accurate and precise growth rates in most of the situations.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The growth rates are being estimated mostly through the linear or exponential functions. A number of research publications have used this procedure in various situations and estimated growth rates which is being used by planners or policy makers. However, the data may not be following these linear or expoenential models or may require fitting of higher degree polynomials or non-linear models. Further, these models lack the econometric consideration i.e. normality of residuals and randomness. As such, it is necessary to make a critical review of the existing methodologies used for estimation of growth rates and to propose appropriate alternatives. The present study is an attempt by way of putting forth the methodology for the computation of the growth rates based on these statistical criteria as well as econometric criteria. The proposed methodlogy is based on the econometric considerations satisfying the assumptions of the ordinary Least Squares Method about the random error term. The proposed procedure can be used to estimate accurate and precise growth rates in most of the situations. 192 pp. Englisch. N° de réf. du vendeur 9783659310140
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Arunachalam RajarathinamDr.A.Rajarathinam is a Professor and Head in the Department of Statistics at Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India. He previously taught at Anand Agricultural University, Anand, Guj. N° de réf. du vendeur 5147565
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. 192. N° de réf. du vendeur 26128821333
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 192 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. N° de réf. du vendeur 131733386
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 192. N° de réf. du vendeur 18128821343
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Trends and Growth Rates on Agricultural Production | Rajarathinam Arunachalam (u. a.) | Taschenbuch | 192 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659310140 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106122357
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growth rates are being estimated mostly through the linear or exponential functions. A number of research publications have used this procedure in various situations and estimated growth rates which is being used by planners or policy makers. However, the data may not be following these linear or expoenential models or may require fitting of higher degree polynomials or non-linear models. Further, these models lack the econometric consideration i.e. normality of residuals and randomness. As such, it is necessary to make a critical review of the existing methodologies used for estimation of growth rates and to propose appropriate alternatives. The present study is an attempt by way of putting forth the methodology for the computation of the growth rates based on these statistical criteria as well as econometric criteria. The proposed methodlogy is based on the econometric considerations satisfying the assumptions of the ordinary Least Squares Method about the random error term. The proposed procedure can be used to estimate accurate and precise growth rates in most of the situations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch. N° de réf. du vendeur 9783659310140
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growth rates are being estimated mostly through the linear or exponential functions. A number of research publications have used this procedure in various situations and estimated growth rates which is being used by planners or policy makers. However, the data may not be following these linear or expoenential models or may require fitting of higher degree polynomials or non-linear models. Further, these models lack the econometric consideration i.e. normality of residuals and randomness. As such, it is necessary to make a critical review of the existing methodologies used for estimation of growth rates and to propose appropriate alternatives. The present study is an attempt by way of putting forth the methodology for the computation of the growth rates based on these statistical criteria as well as econometric criteria. The proposed methodlogy is based on the econometric considerations satisfying the assumptions of the ordinary Least Squares Method about the random error term. The proposed procedure can be used to estimate accurate and precise growth rates in most of the situations. N° de réf. du vendeur 9783659310140
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