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Ensemble Modelling for Disease Forecasting

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

models with data-driven models for the purpose of hydrological flow forecasting. Models resulting from such integration are referred to as hybrid;

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Ensemble Forecasting Applied to Power Systems

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Modelling and Forecasting Financial Data

resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to;

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Applied Time Series Modelling and Forecasting

This book covers time series modeling and forecasting for econometrics and finance students. This new edition has been simplified for more;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

models with data-driven models for the purpose of hydrological flow forecasting. Models resulting from such integration are referred to as hybrid;

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Real Estate Modelling & Forecasting

employ sound techniques for modelling and forecasting the performance of real estate assets. Assuming no prior knowledge of econometrics, this;

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Rainfall Forecasting

include statistical downscaling for short term quantitative precipitation forecasting; empirical approaches in long-term rainfall forecasting; the;

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A Practical Guide To Forecasting Financial Market Volatility

Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment;

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Intelligent Optimization Modelling in Energy Forecasting

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Probabilistic Forecasting and Bayesian Data Assimilation

introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.;

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Probabilistic Forecasting and Bayesian Data Assimilation

introduction for graduate students in applied mathematics, computer science, engineering, geoscience and other emerging application areas.;

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Continuing Financial Modelling

This book is aimed at those who wish to advance their knowledge and expertise in financial modelling;...

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Time-Series Forecasting

literature: the computation of prediction intervals and the effect of model uncertainty on forecast accuracy. Although the search for a best;

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Mathematical Problems in Meteorological Modelling

, and will find stimulation and motivation for their future research work.;

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Forecasting Volatility in the Financial Markets

and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE;

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Econometric Modeling and Forecasting

Forecasting, to make it easy for the reader to understand the topic. The first part of the book i.e. Modelling, throws light on the various;

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Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The;

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Cost Modelling

Cost models underlie all the techniques used in construction cost and price forecasting, yet until r;...

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Tourism Demand Modelling and Forecasting

First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.;...

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Statistical Postprocessing of Ensemble Forecasts

introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for;

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Economic Forecasting

coverage of methods and applications in this fast-growing area and is intended for use in postgraduate and upper-level undergraduate courses. Part;

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Machine Learning Methods in the Environmental Sciences

appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password;

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Machine Learning Methods in the Environmental Sciences

appendix listing websites for downloading computer code and data sources. A resources website contains datasets for exercises, and password;

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Forecasting Catastrophic Events in Technology, Nature and Medicine

This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology;

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Hydrological Drought Forecasting in Africa at Different Spatial and Temporal Scales

modelling framework for hydrological drought forecasting in sub-Saharan Africa as a step towards an effective early warning system. The proposed;

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Hydrological Drought Forecasting in Africa at Different Spatial and Temporal Scales

modelling framework for hydrological drought forecasting in sub-Saharan Africa as a step towards an effective early warning system. The proposed;

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