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Paperback. Zustand: New. Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss.Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments.The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings.The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.…

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Paperback. Zustand: New. Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that minimizes sums of squared residuals, median regression minimizes sums of absolute residuals; quantile regression simply replaces symmetric absolute loss by asymmetric linear loss.Since its introduction in the 1970's by Koenker and Bassett, quantile regression has been gradually extended to a wide variety of data analytic settings including time series, survival analysis, and longitudinal data. By focusing attention on local slices of the conditional distribution of response variables it is capable of providing a more complete, more nuanced view of heterogeneous covariate effects. Applications of quantile regression can now be found throughout the sciences, including astrophysics, chemistry, ecology, economics, finance, genomics, medicine, and meteorology. Software for quantile regression is now widely available in all the major statistical computing environments.The objective of this volume is to provide a comprehensive review of recent developments of quantile regression methodology illustrating its applicability in a wide range of scientific settings.The intended audience of the volume is researchers and graduate students across a diverse set of disciplines.…

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Hardback. Zustand: New. This book integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner . The first book that introduces the causes, processes and consequences of dam failures. Integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner. Emphasizes integrating theory and practice to better demonstrate the application of risk assessment and decision methodologies to real cases. Intends to formulate dam-breaching emergency management steps in a scientific structure.…

Gebunden. Zustand: New. This book integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner* The first book that introduces the causes, processes and consequences of dam failures* Integrates the physical processes of dam.

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Hardback. Zustand: New. This book integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner . The first book that introduces the causes, processes and consequences of dam failures. Integrates the physical processes of dam breaching and the mathematical aspects of risk assessment in a concise manner. Emphasizes integrating theory and practice to better demonstrate the application of risk assessment and decision methodologies to real cases. Intends to formulate dam-breaching emergency management steps in a scientific structure.…

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