Share
Handbook of Quantile Regression (Chapman & Hall
Roger Koenker (Editor), Victor Chernozhukov (Editor), Xuming He (Editor), Limin Peng (Editor) (Author)
·
Crc Pr Inc
· Paperback
Handbook of Quantile Regression (Chapman & Hall - Roger Koenker (Editor), Victor Chernozhukov (Editor), Xuming He (Editor), Limin Peng (Editor)
£ 43.19
£ 47.99
You save: £ 4.80
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Friday, July 12 and
Wednesday, July 17.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Handbook of Quantile Regression (Chapman & Hall"
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.
