aye khin (12 resultados)

Condición: Very good. Jas, Jeroen; Lixenberg, Dana Ilustrador.

Condición: Good. Jas, Jeroen; Lixenberg, Dana Ilustrador. Please note: below is a general description of how we classify our condition types. If you would like a closer look or have any specific questions, please feel free to send us a message, and we will gladly check it for you. Condition descriptions: UsedlikeNew: Barely any signs of use, almost like new. UsedGood: May show some light signs of use, such as slight discoloration or a name written on the front endpaper, but generally no markings or notes in the text. UsedAcceptable: Book in acceptable condition. May show signs of use, such as some discoloration, reading creases in the spine, underlining, notes, slight dirt on edges, dog-eared pages, or a bent spine. New: Book is new. ZB 8-11 090624.

Condición: Very good. Jas, Jeroen; Lixenberg, Dana Ilustrador.

Condición: New. pp. 236.

Taschenbuch. Condición: Neu. Econometric Forecasting Models for Short Term Natural Rubber Prices | Economic Development of World Natural Rubber Industry Models Specifications, Simulation and Evaluation | Aye Aye Khin (u. a.) | Taschenbuch | 236 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846515464 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Soft cover. Condición: Very Good. 128 pages in Burmese : 24 cm.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study presents a number of short-term ex-post forecasts of single equation model, Multivariate Autoregressive Moving Average (MARMA) model, simultaneous supply-demand and price system equation model, and Autoregressive Integrated Moving Average (ARIMA) model, and ARCH-type models of natural rubber (NR) SMR20 (Standard Malaysia Rubber of grade 20) prices in the world NR market. The ARCH-type models (Autoregressive Conditional Heteroskedasticity) used include the GARCH (1,1) (Generalized ARCH) model, EGARCH (1,1) (The Exponential GARCH) model, PARCH (1,1) (The Power ARCH) and CGARCH (1,1) (The Component GARCH) model. The models were utilized using monthly data from January 1990 to December 2008 as estimation period, providing a total of 228 observations and data was used as an ex-post forecasts. The results revealed that the forecasting performance of the simultaneous supply-demand and price system equation model was more efficient than single equation model, MARMA model and ARIMA model, and ARCH-type models for ex-post forecast in estimating the price of SMR20 in the next 6 months or so. 236 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khin Aye AyeAye Aye Khin has successfully obtained her Ph.D Degree in Agribusiness and worked as a Post Doctoral Research Fellow at Universiti Putra Malaysia (UPM) in 2010. In 2011, she has joined as a Lecturer in Multimedia Universi.

Condición: New. Print on Demand pp. 236 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 236.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This study presents a number of short-term ex-post forecasts of single equation model, Multivariate Autoregressive Moving Average (MARMA) model, simultaneous supply-demand and price system equation model, and Autoregressive Integrated Moving Average (ARIMA) model, and ARCH-type models of natural rubber (NR) SMR20 (Standard Malaysia Rubber of grade 20) prices in the world NR market. The ARCH-type models (Autoregressive Conditional Heteroskedasticity) used include the GARCH (1,1) (Generalized ARCH) model, EGARCH (1,1) (The Exponential GARCH) model, PARCH (1,1) (The Power ARCH) and CGARCH (1,1) (The Component GARCH) model. The models were utilized using monthly data from January 1990 to December 2008 as estimation period, providing a total of 228 observations and data was used as an ex-post forecasts. The results revealed that the forecasting performance of the simultaneous supply-demand and price system equation model was more efficient than single equation model, MARMA model and ARIMA model, and ARCH-type models for ex-post forecast in estimating the price of SMR20 in the next 6 months or so.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.