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Statistical Downscaling and Bias Correction for Climate Research

guidelines for practitioners. It presents the main approaches including statistical downscaling, bias correction and weather generators, along with;

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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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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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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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Bioinformatics

approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;

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Bioinformatics

to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;

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Climate Change Scenarios for Hyderabad

emission scenarios (SRES B1 and A2) for the area of Hyderabad (India) for the 21st century. The evaluated model runs were produced within the IPCC;

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Statistical Downscaling of Climatic parameters

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Numerical Weather & Climate Prediction

This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and;

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Impact of Climate Change on Water Resources

, revision questions, exercise problems, and case studies, making it relevant for use as a textbook in graduate courses and professional development;

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Statistical Inference

and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models;

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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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Statistical Analysis In Climate Research

of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will;

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Water Tower of the Yellow River in a Changing Climate

-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;

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Water Tower of the Yellow River in a Changing Climate

-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;

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Applying Quantitative Bias Analysis to Epidemiologic Data

of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research;

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Bias and Causation

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a;

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Equity Home Bias in International Finance

This book provides a comprehensive and critical analysis of research outcomes on the equity home bias puzzle - that people overinvest;

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Equity Home Bias in International Finance

This book provides a comprehensive and critical analysis of research outcomes on the equity home bias puzzle - that people overinvest;

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Ellipse Fitting for Computer Vision

mathematical theories of statistical optimization underlying all ellipse fitting algorithms, including rigorous covariance and bias analyses and the;

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More Statistical and Methodological Myths and Urban Legends

basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research;

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More Statistical and Methodological Myths and Urban Legends

Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics;

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Ellipse Fitting for Computer Vision

mathematical theories of statistical optimization underlying all ellipse fitting algorithms, including rigorous covariance and bias analyses and the;

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Test Bias in Employment Selection Testing

for Human Resource (HR) professionals. Knowledge of test bias is a key component to effectively and legally performing this highly valued HR;

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Extreme Value Theory with Applications to Natural Hazards

number of steps: data selection and correction, non-stationary theory (to account for trends due to climate change), and selecting appropriate;

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Support Water-Management Decision-Making Under Climate Change Conditions

irrigation management. The Preliminary Assessment of the Impacts in Spain due to the Effects of Climate Change and the National Plan for Adaptation;

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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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