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guidelines for practitioners. It presents the main approaches including statistical downscaling, bias correction and weather generators, along with;
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, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical;
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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 (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic;
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approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;
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to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.;
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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;
Vergelijkbare producten zoals Climate Change Scenarios for Hyderabad
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This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and;
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, 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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and their impact on regression models Expanded material on hypothesis testing, method of moments, bias correction, and hierarchical models;
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quantification and statistical learning; methodologies for planning and control, sampling and adaptive observation, and efficient coupling of these;
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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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-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;
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-climatic changes, comparing three different statistical downscaling methods, assessing elevation dependency of expected changes in temperature, and;
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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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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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This book provides a comprehensive and critical analysis of research outcomes on the equity home bias puzzle - that people overinvest;
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This book provides a comprehensive and critical analysis of research outcomes on the equity home bias puzzle - that people overinvest;
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mathematical theories of statistical optimization underlying all ellipse fitting algorithms, including rigorous covariance and bias analyses and the;
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basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research;
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Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics;
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mathematical theories of statistical optimization underlying all ellipse fitting algorithms, including rigorous covariance and bias analyses and the;
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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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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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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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include statistical downscaling for short term quantitative precipitation forecasting; empirical approaches in long-term rainfall forecasting; the;
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