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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr.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, Gujarat, India in the area of Agricultural Statistics. He received the Ph.D. degree in Agricultural Statistics.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659310140
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659310140
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: 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. Bestandsnummer des Verkäufers 5147565
Anzahl: Mehr als 20 verfügbar
Anbieter: Books Puddle, Woodside, NY, USA
Zustand: New. pp. 192. Bestandsnummer des Verkäufers 26128821333
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: 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. Bestandsnummer des Verkäufers 131733386
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 192. Bestandsnummer des Verkäufers 18128821343
Anzahl: 4 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 192 pp. Englisch. Bestandsnummer des Verkäufers 9783659310140
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 106122357
Anzahl: 5 verfügbar