02563cam a2200325 i 4500 19485625 BD-DhUL 20220417121213.0 170208s2018 flua b 001 0 eng 2017005283 9780367657574 (pbk) DLC eng DLC rda DLC BD-DhUL pcc QA278.2 .H3738 2018 519.536 HAN Handbook of quantile regression / edited by Roger Koenker ... [et al.] Boca Raton : CRC Press, 2018. xix, 463 p. : ill. ; 27 cm. GBP 42.99 Chapman & Hall/CRC handbooks of modern statistical methods. Includes bibliographical references and index. 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.-- Provided by Publisher. Regression analysis. Koenker, Roger. ed. Chernozhukov, Victor. ed. He, Xuming. ed. Peng, Limin. ed. ddc BK rl03 2017-02-08 rl03 2017-02-08 to Dewey xn11 2018-04-18 1 copy rec'd., to CIP ver. 255800 255800 0 0 ddc 0 519_536000000000000_HAN 0 NFIC 391238 DUSL DUSL GEN 2021-11-09 Purchased 519.536 HAN 520408 2022-04-10 1 2022-04-10 BK Statistics 0 0 ddc 0 519_536000000000000_HAN 0 NFIC 391242 DUSL DUSL GEN 2021-11-09 Purchased 519.536 HAN 520409 2022-04-10 2 2022-04-10 BK tr. to Statistics