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Festschrift in honor of R. Dennis Cook : fifty years of contribution to statistical science / |
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ISBN/ISSN:
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9783030690083 价格： CNY920.75 |
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ISBN/ISSN:
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3030690083 |
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科图分类法:
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O212 |
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题名:
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Festschrift in honor of R. Dennis Cook [fifty years of contribution to statistical science ] |
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出版发行:
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Cham, Switzerland : Springer, [2021] |
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载体形态:
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xiii, 192 pages : illustrations (some color) ; 25 cm |
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内容提要:
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In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions to an array of statistical disciplines ranging from experimental design and population genetics, to statistical diagnostics and all areas of regression-related inference and analysis. Since the early 1990s, Prof. Cook has led the development of dimension reduction methodology in three distinct but related regression contexts: envelopes, sufficient dimension reduction (SDR), and regression graphics. In particular, he has made fundamental and pioneering contributions to SDR, inventing or co-inventing many popular dimension reduction methods, such as sliced average variance estimation, the minimum discrepancy approach, model-free variable selection, and sufficient dimension reduction subspaces. A prolific researcher and mentor, Prof. Cook is known for his ability to identify research problems in statistics that are both challenging and important, as well as his deep appreciation for the applied side of statistics. This collection of Prof. Cook's collaborators, colleagues, friends, and former students reflects the broad array of his contributions to the research and instructional arenas of statistics |
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主题词:
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Statistics. |
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主题词:
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Mathematical statistics. |
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主要责任者:
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Bura, Efstathia, |
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主要责任者:
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Li, Bing, |
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主要责任者:
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Cook, R. Dennis, |
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HEA| |03407cam a2200361 450 001| |022021011372 008| |210501s2021 sz a b 000 0 eng d 020| |▼a9783030690083▼qhardback :▼cCNY920.75 020| |▼a3030690083▼qhardback 020| |▼z9783030690090▼q(electronic bk.) 020| |▼z3030690091▼q(electronic bk.) 024|7 |▼a10.1007/978-3-030-69009-0▼2doi 040| |▼aYDX▼beng▼erda▼cYDX▼dGW5XE▼dE- | |BLCP▼dOCLCO▼dOCLCF▼dBJZK 050| 4|▼aQA276 072| 7|▼aPBT▼2bicssc 072| 7|▼aMAT029000▼2bisacsh 072| 7|▼aPBT▼2thema 082|04|▼a519.5▼223 090| |▼aO212▼b224768 245|00|▼aFestschrift in honor of R. D- | |ennis Cook :▼bfifty years of c- | |ontribution to statistical sci- | |ence /▼cEfstathia Bura, Bing L- | |i, editors. 260| |▼aCham, Switzerland :▼bSpringer,▼c[2021] 300| |▼axiii, 192 pages :▼billustrat- | |ions (some color) ;▼c25 cm 336| |▼atext▼btxt▼2rdacontent 337| |▼aunmediated▼bn▼2rdamedia 338| |▼avolume▼bnc▼2rdacarrier 504| |▼aIncludes bibliographical references. 505|0 |▼aUsing mutual information to - | |measure the predictive power o- | |f principal components / Andre- | |as Artemiou －－ A robust estima- | |tion approach for mean-shift a- | |nd variance-inflation outliers- | | / Luca Insolia, Francesca Chi- | |aromonte, and Marco Riani －－ E- | |stimating sufficient dimension- | | reduction spaces by invariant- | | linear operators / Bing Li －－- | | Testing model utility for sin- | |gle index models under high di- | |mension / Qian Lin, Zhigen Zha- | |o, and Jun S. Liu －－ Sliced in- | |verse regression for spatial d- | |ata / Christoph Muehlmann, Han- | |nu Oja, and Klaus Nordhausen －－ | |- Model-based inverse regressi- | |on and its applications / Tao - | |Wang and Lixing Zhu －－ Suffici- | |ent dimension folding with cat- | |egorical predictors / Yuanwen - | |Wang, Yuan Xue, Qingcong Yuan,- | | and Xiangrong Yin －－ Sufficie- | |nt dimension reduction through- | | independence and conditional - | |mean independence measures / Y- | |uexiao Dong －－ Cook\'s Fisher L- | |ectureship revisited for semi－－ | |supervised data reduction / Jae Keun Yoo 520| |▼aIn honor of professor and re- | |nowned statistician R. Dennis - | |Cook, this festschrift explore- | |s his influential contribution- | |s to an array of statistical d- | |isciplines ranging from experi- | |mental design and population g- | |enetics, to statistical diagno- | |stics and all areas of regress- | |ion-related inference and anal- | |ysis. Since the early 1990s, P- | |rof. Cook has led the developm- | |ent of dimension reduction met- | |hodology in three distinct but- | | related regression contexts: - | |envelopes, sufficient dimensio- | |n reduction (SDR), and regress- | |ion graphics. In particular, h- | |e has made fundamental and pio- | |neering contributions to SDR, - | |inventing or co-inventing many- | | popular dimension reduction m- | |ethods, such as sliced average- | | variance estimation, the mini- | |mum discrepancy approach, mode- | |l-free variable selection, and- | | sufficient dimension reductio- | |n subspaces. A prolific resear- | |cher and mentor, Prof. Cook is- | | known for his ability to iden- | |tify research problems in stat- | |istics that are both challengi- | |ng and important, as well as h- | |is deep appreciation for the a- | |pplied side of statistics. Thi- | |s collection of Prof. Cook\'s c- | |ollaborators, colleagues, frie- | |nds, and former students refle- | |cts the broad array of his con- | |tributions to the research and- | | instructional arenas of statistics 650| 0|▼aStatistics. 650| 0|▼aMathematical statistics. 700|1 |▼aBura, Efstathia,▼eeditor. 700|1 |▼aLi, Bing,▼eeditor. 700|1 |▼aCook, R. Dennis,▼ehonouree.