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Published by Yunnan min zu chu ban she., 2002
ISBN 10: 7536721277 ISBN 13: 9787536721272
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Paperback. Condition: Very Good. Minor shelf wear, binding tight, pages clean and unmarked. Contains pictographs with translation in English and Chinese. The Dongba, Tomba or Tompa or Mo-so symbols are a system of pictographic glyphs used by the ²dtoımba of the Naxi people in southern China. In the Naxi language it is called ²ss ³dgyu 'wood records' or ²lv ³dgyu 'stone records'. "They were developed in approximately the seventh century.".
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Add to basketPaperback. Condition: 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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Add to basketPaperback. Condition: 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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Published by Chapman and Hall/CRC, 2020
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Roger Koenker, University of IllinoisVictor Chernozhukov, MITXuming He, University of Michigan Limin Peng, Emory UniversityQuantile regression constitutes an ensemble of statistica.
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Language: English
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642351883 ISBN 13: 9783642351884
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Principles, Modeling, Simulation, and Application|Is the culmination of 25 years of work on the multi-scale simulation of different multi-phase chemical processesHighlights transdisciplinarity and the issues from the perspective of complexity scie.