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Work of Raymond J. Carroll : the impact and influence of a statistician / Marie Davidian...[et al.].

Contributor(s): Davidian, Marie [editor] | Lin, Xihong [editor] | Morris, Jeffrey S [editor] | Stefanski, Leonard A [editor].
Material type: TextTextPublisher: Switzerland : Springer, 2014Description: xx, 579 p. : illustrations (some color) ; 24 cm.ISBN: 9783319058009.Subject(s): Carroll, Raymond J | Statisticians -- United States -- Biography | StatisticsDDC classification: 000SA.01
Contents:
1. Measurement error / by John P. Buonaccorsi and Aurore Delaigle -- 2. Transformation and weighting / by David Ruppert -- 3. Epidemiology / by Laurence Freedman, Mitchell H. Gail, and Dale L. Preston -- 4. Nonparametric and semiparametric regression for independent data / by Hua Liang -- 5. Nonparametric and semiparametric regression for dependent date / by Yehua Li and Naisyin Wang -- 6. Robustness / by Roger Koenker and Douglas Simpson -- 7. Other work / by George Casella -- Bibliography of Raymond J. Carroll.
Summary: This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement error, Transformation and weighting, Epidemiology, Nonparametric and semiparametric regression for independent data, Nonparametric and semiparametric regression for dependent data, Robustness, and Other work. The seven subject areas reviewed in this book were chosen by Dr. Carroll himself, as were the articles representing each area. The commentaries not only review Dr. Carroll's work, but are also filled with history and anecdotes. Dr. Carroll's impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in a number of subject matter areas. From the outset of his career, rather than taking the 'safe' route of pursuing incremental advances, Dr. Carroll has focused on tackling the most important challenges of our time. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
000SA.01 D249 (Browse shelf) Available 136214
Total holds: 0

Includes bibliography.

1. Measurement error / by John P. Buonaccorsi and Aurore Delaigle --
2. Transformation and weighting / by David Ruppert --
3. Epidemiology / by Laurence Freedman, Mitchell H. Gail, and Dale L. Preston --
4. Nonparametric and semiparametric regression for independent data / by Hua Liang --
5. Nonparametric and semiparametric regression for dependent date / by Yehua Li and Naisyin Wang --
6. Robustness / by Roger Koenker and Douglas Simpson --
7. Other work / by George Casella --
Bibliography of Raymond J. Carroll.

This volume contains Raymond J. Carroll's research and commentary on its impact by leading statisticians. Each of the seven main parts focuses on a key research area: Measurement error, Transformation and weighting, Epidemiology, Nonparametric and semiparametric regression for independent data, Nonparametric and semiparametric regression for dependent data, Robustness, and Other work. The seven subject areas reviewed in this book were chosen by Dr. Carroll himself, as were the articles representing each area. The commentaries not only review Dr. Carroll's work, but are also filled with history and anecdotes. Dr. Carroll's impact on statistics and numerous other fields of science is far-reaching. His vast catalog of work spans from fundamental contributions to statistical theory to innovative methodological development and new insights in a number of subject matter areas. From the outset of his career, rather than taking the 'safe' route of pursuing incremental advances, Dr. Carroll has focused on tackling the most important challenges of our time. In doing so, it is fair to say that he has defined a host of statistics areas, including weighting and transformation in regression, measurement error modeling, quantitative methods for nutritional epidemiology and non- and semiparametric regression.

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