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Empirical-statistical Downscaling

Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic;

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Statistical Downscaling of Climatic parameters

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Statistical Downscaling and Bias Correction for Climate Research

Statistical downscaling and bias correction are becoming standard tools in climate impact studies. This book provides a comprehensive;

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Statistical Downscaling for Hydrological and Environmental Applications

, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical;

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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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Downscaling Techniques for High-Resolution Climate Projections

information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled;

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Climate Change Scenarios for Hyderabad

AR4 - process. We applied a statistical downscaling to be able to evaluate that large number of model runs. Aggregation of results was done on;

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Empirical Macroeconomics and Statistical Uncertainty

This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but;

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Dynamic Data-Driven Environmental Systems Science

quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these;

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Probability Theory and Statistical Inference

Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification;

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Probability Theory and Statistical Inference

Doubt over the trustworthiness of published empirical results is not unwarranted and is often a result of statistical mis-specification;

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Empirical Likelihood Method in Survival Analysis

confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only;

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Empirical Likelihood Method in Survival Analysis

confidence band results. While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only;

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Candlestick Forecasting for Investments

to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book;

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Candlestick Forecasting for Investments

to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book;

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Statistical Process Monitoring and Optimization

Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical;

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Statistical Analysis of Empirical Data: Methods for Applied Sciences

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for;

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Statistical Analysis of Empirical Data

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for;

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Econometric Modeling

Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical;

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Empirical Process Techniques for Dependent Data

introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and;

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Introduction To Econophysics

series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical;

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Introduction to Econophysics

series. The authors also present a stochastic model that displays several of the statistical properties observed in empirical data. Statistical;

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Quantitative Ecology and Evolutionary Biology

This novel, interdisciplinary text achieves an integration of empirical data and theory with the aid of mathematical models and statistical;

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Empirical Translation Studies

cognitive factors. It contributes to the recent trend in empirical translation studies towards more methodological sophistication, including mixed;

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Statistics for Criminology and Criminal Justice

examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the;

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Mathematical Literacy on Statistical Measures

specification of the learning content of statistical measures, an empirical reconstruction of students' learning processes towards statistical measures;

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The SMS Blackwell Handbook of Organizational Capabilities

in the field. * Presents original new theory. * Features ground-breaking empirical studies. * Draws on a broad range of empirical methods;

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