Author:
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 214
Book Description
World Agricultural Supply and Demand Estimates
Author:
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 214
Book Description
Publisher:
ISBN:
Category : Agricultural productivity
Languages : en
Pages : 214
Book Description
The Making of National Economic Forecasts
Author: Lawrence Robert Klein
Publisher: Edward Elgar Publishing
ISBN: 1849802165
Category : Business & Economics
Languages : en
Pages : 400
Book Description
In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.
Publisher: Edward Elgar Publishing
ISBN: 1849802165
Category : Business & Economics
Languages : en
Pages : 400
Book Description
In this valuable volume, Nobel Prize-winner Klein gathers together a group of authors who focus on forecasting models for a number of economies. The variety of the models and the structural differences among them are especially interesting. . . Readers interested in forecasting methodologies will find much of value in this volume. Highly recommended. I. Walter, Choice This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently at least monthly but also weekly or bi-weekly depending upon the perceived needs of potential forecast users and also on the availability of updated material. The book focuses on forecasts in a diverse range of economies including the United States, China, India, Russia, Germany, Japan, South Korea, and Turkey. At a time of great economic uncertainty, this book makes an important contribution by showing how new information technology can be used to prepare national economic forecasts.
2007 Atlantic Hurricane Season
Author:
Publisher: PediaPress
ISBN:
Category :
Languages : en
Pages : 217
Book Description
Publisher: PediaPress
ISBN:
Category :
Languages : en
Pages : 217
Book Description
Market Forecasts for the Northwestern Federal District of Russia
Author: BIA
Publisher: Business Information Agency
ISBN: 1418745731
Category :
Languages : en
Pages : 356
Book Description
Publisher: Business Information Agency
ISBN: 1418745731
Category :
Languages : en
Pages : 356
Book Description
Journal of Housing Research
Author:
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 1430
Book Description
Publisher:
ISBN:
Category : Housing
Languages : en
Pages : 1430
Book Description
Economic Forecasts
Author: Ralf Brüggemann
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110510847
Category : Business & Economics
Languages : en
Pages : 176
Book Description
Forecasts guide decisions in all areas of economics and finance. Economic policy makers base their decisions on business cycle forecasts, investment decisions of firms are based on demand forecasts, and portfolio managers try to outperform the market based on financial market forecasts. Forecasts extract relevant information from the past and help to reduce the inherent uncertainty of the future. The topic of this special issue of the Journal of Economics and Statistics is the theory and practise of forecasting and forecast evaluation and an overview of the state of the art of forecasting.
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110510847
Category : Business & Economics
Languages : en
Pages : 176
Book Description
Forecasts guide decisions in all areas of economics and finance. Economic policy makers base their decisions on business cycle forecasts, investment decisions of firms are based on demand forecasts, and portfolio managers try to outperform the market based on financial market forecasts. Forecasts extract relevant information from the past and help to reduce the inherent uncertainty of the future. The topic of this special issue of the Journal of Economics and Statistics is the theory and practise of forecasting and forecast evaluation and an overview of the state of the art of forecasting.
Market Forecasts for the Volga Federal District of Russia
Author: BIA
Publisher: Business Information Agency
ISBN: 1418745774
Category :
Languages : en
Pages : 374
Book Description
Publisher: Business Information Agency
ISBN: 1418745774
Category :
Languages : en
Pages : 374
Book Description
Hydrological Forecasting with Radar and the Probability Distributed Hydrological Model (PDM)
Author: Gbotemi Abraham Adediran
Publisher: Universal-Publishers
ISBN: 1612334350
Category :
Languages : en
Pages : 112
Book Description
The efficiency of a probabilistic hydrological forecasting system with weather radar and the Probability distributed hydrological model (PDM) was evaluated at the Brue catchment; south-western England. The ability of the radar to measure gauged precipitation in 2007 (regarded as the ground truth) was evaluated using Normalized Bias (NB) and Normalized Error (NE) statistics as the objective function of evaluation. The radar overestimated precipitation measurements by average gauges with NB value of 0.41 and a considerably low NE of 0.68. Furthermore, the effectiveness of a Deterministic nowcasting system (DNS) to forecast radar measured precipitation at 132 forecast time series of 6hrs forecast lead time was assessed. The DNS overestimated the radar measured precipitation with a NB value of 87% and recorded an accumulated NE of 146%. Moreover, the efficiencies of 10 ensemble precipitation forecats generated from a Stochastic nowcasting system (SNS) over the singular deterministic forecasts from the DNS was evaluated at 3 major hydrological events. Some of the ensembles significantly performed better than the deterministic forecast and brilliantly captured the radar measured precipitation at most of the forecast time series. Furthermore, the efficiencies of these sources of precipitation measurement to simulate flows with the PDM at the Brue catchment were also assessed by integrating the radar-based forecasts with measurements from average gauges. The PDM performed satisfactorily well in simulating the flows of 17th January 2007 with an average Nash–Sutcliffe Efficiency Index (NSE) of 0.65 and the model was judged insensitive to the significantly high precipitation inputs for the hydrological event of 27th of May 2007. However, the PDM performed poorly in simulating flows for the historical storms of 20th of July 2007; with the model under estimating flows with bias value of over 250 cumecs for an event popular for its devastating flooding in the Southwest of England. The model inadequacies was however associated to poor radar precipitation measurements and forecasts on which flow simulation was based. This work therefore emphasis the need for developments in hydrological modeling as well as advancement in weather radar technology to effectively correct radar errors due to radar calibration, signal attenuation, clutter and anomalous propagation, vertical variation of reflectivity, range effects, Z-R relationships, variations of drop size distributions, vertical air motions, beam overshooting the shallow precipitation and sampling issues, that has been identified to affect radar measurements.
Publisher: Universal-Publishers
ISBN: 1612334350
Category :
Languages : en
Pages : 112
Book Description
The efficiency of a probabilistic hydrological forecasting system with weather radar and the Probability distributed hydrological model (PDM) was evaluated at the Brue catchment; south-western England. The ability of the radar to measure gauged precipitation in 2007 (regarded as the ground truth) was evaluated using Normalized Bias (NB) and Normalized Error (NE) statistics as the objective function of evaluation. The radar overestimated precipitation measurements by average gauges with NB value of 0.41 and a considerably low NE of 0.68. Furthermore, the effectiveness of a Deterministic nowcasting system (DNS) to forecast radar measured precipitation at 132 forecast time series of 6hrs forecast lead time was assessed. The DNS overestimated the radar measured precipitation with a NB value of 87% and recorded an accumulated NE of 146%. Moreover, the efficiencies of 10 ensemble precipitation forecats generated from a Stochastic nowcasting system (SNS) over the singular deterministic forecasts from the DNS was evaluated at 3 major hydrological events. Some of the ensembles significantly performed better than the deterministic forecast and brilliantly captured the radar measured precipitation at most of the forecast time series. Furthermore, the efficiencies of these sources of precipitation measurement to simulate flows with the PDM at the Brue catchment were also assessed by integrating the radar-based forecasts with measurements from average gauges. The PDM performed satisfactorily well in simulating the flows of 17th January 2007 with an average Nash–Sutcliffe Efficiency Index (NSE) of 0.65 and the model was judged insensitive to the significantly high precipitation inputs for the hydrological event of 27th of May 2007. However, the PDM performed poorly in simulating flows for the historical storms of 20th of July 2007; with the model under estimating flows with bias value of over 250 cumecs for an event popular for its devastating flooding in the Southwest of England. The model inadequacies was however associated to poor radar precipitation measurements and forecasts on which flow simulation was based. This work therefore emphasis the need for developments in hydrological modeling as well as advancement in weather radar technology to effectively correct radar errors due to radar calibration, signal attenuation, clutter and anomalous propagation, vertical variation of reflectivity, range effects, Z-R relationships, variations of drop size distributions, vertical air motions, beam overshooting the shallow precipitation and sampling issues, that has been identified to affect radar measurements.
Fire Your Stock Analyst!
Author: Harry Domash
Publisher: FT Press
ISBN: 0137040261
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The #1 Guide to Do-It-Yourself Stock Analysis–Now Fully Updated with Powerful New Shortcuts! “Harry’s book is among my most recommended readings because it provides a step-by-step process that enables any investor to analyze potential investment opportunities and ultimately become a much better investor.” – Charles E. Kirk, The Kirk Report “This is a thoughtful book that will stir the imagination and whet the appetite of anyone considering investing in stocks. It will serve as a foundation for lifelong education in how to improve your wealth.” – Victor Niederhoffer, Chief Speculator, Manchester Investments, and author of the best-selling Education of a Speculator “This book is sensible, balances risks with rewards, has a lot of real-world practical examples carefully worked out, and a lot of tangible parameters. This is the book I wish I had time to write.” – David Edwards, President, Heron Capital Management, Inc. “Fire Your Stock Analyst! grabbed my attention early and held it to the very end. This is a good book if you are interested in being your own stock guru or just getting started in common stock investment analysis.” – Nicholas D. Gerber, Portfolio Manager, Ameristock Funds “A refreshing antidote to run-of-the-mill investing ‘how-tos.’ The net result is an insightful and useful treatise on investing that works for both growth and value plays.” – Charles Mulford, Invesco Chair and Professor of Accounting, Georgia Institute of Technology, and coauthor of The Financial Numbers Game: Detecting Creative Accounting Practices “Fire Your Stock Analyst! offers honest and up-to-the minute advice and guidance on the investment-research process. Domash offers up a great combination of textbook knowledge backed by real-world examples.” – Richard H. Driehaus, Driehaus Capital Management, Inc. “Fire Your Stock Analyst! provides well-thought-out, sensible, step-by-step strategies for analyzing stocks, including when to sell. These analytical methods, used by pros though rarely explained to individual investors, will help you improve your results in the market right away.” – Jon D. Markman, Senior Investment Strategist and Portfolio Manager, Pinnacle Investment Advisors
Publisher: FT Press
ISBN: 0137040261
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The #1 Guide to Do-It-Yourself Stock Analysis–Now Fully Updated with Powerful New Shortcuts! “Harry’s book is among my most recommended readings because it provides a step-by-step process that enables any investor to analyze potential investment opportunities and ultimately become a much better investor.” – Charles E. Kirk, The Kirk Report “This is a thoughtful book that will stir the imagination and whet the appetite of anyone considering investing in stocks. It will serve as a foundation for lifelong education in how to improve your wealth.” – Victor Niederhoffer, Chief Speculator, Manchester Investments, and author of the best-selling Education of a Speculator “This book is sensible, balances risks with rewards, has a lot of real-world practical examples carefully worked out, and a lot of tangible parameters. This is the book I wish I had time to write.” – David Edwards, President, Heron Capital Management, Inc. “Fire Your Stock Analyst! grabbed my attention early and held it to the very end. This is a good book if you are interested in being your own stock guru or just getting started in common stock investment analysis.” – Nicholas D. Gerber, Portfolio Manager, Ameristock Funds “A refreshing antidote to run-of-the-mill investing ‘how-tos.’ The net result is an insightful and useful treatise on investing that works for both growth and value plays.” – Charles Mulford, Invesco Chair and Professor of Accounting, Georgia Institute of Technology, and coauthor of The Financial Numbers Game: Detecting Creative Accounting Practices “Fire Your Stock Analyst! offers honest and up-to-the minute advice and guidance on the investment-research process. Domash offers up a great combination of textbook knowledge backed by real-world examples.” – Richard H. Driehaus, Driehaus Capital Management, Inc. “Fire Your Stock Analyst! provides well-thought-out, sensible, step-by-step strategies for analyzing stocks, including when to sell. These analytical methods, used by pros though rarely explained to individual investors, will help you improve your results in the market right away.” – Jon D. Markman, Senior Investment Strategist and Portfolio Manager, Pinnacle Investment Advisors
Market Forecasts for the Central Federal District of Russia
Author: BIA
Publisher: Business Information Agency
ISBN: 1418745715
Category :
Languages : en
Pages : 366
Book Description
Publisher: Business Information Agency
ISBN: 1418745715
Category :
Languages : en
Pages : 366
Book Description