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Statistical Data Analysis Based on the L1-Norm and Related Methods
Yadolah . Ed(S): Dodge
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Description for Statistical Data Analysis Based on the L1-Norm and Related Methods
Paperback. Editor(s): Dodge, Yadolah. Series: Statistics for Industry and Technology. Num Pages: 468 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 24. Weight in Grams: 891.
This volume contains a selection of invited papers, presented to the fourth In Statistical Analysis Based on the L1-Norm and Related ternational Conference on Methods, held in Neuchatel, Switzerland, from August 4-9, 2002. Organized jointly by the University of Illinois at Chicago (Gib Bassett), the Rutgers University (Regina Liu and Yehuda Vardi) and the University of Neuchatel (Yadolah Dodge), the conference brought together experts whose research deals with theory and ap plications involving the L1-Norm. The conference included invited and contributed talks as well as a tutorial on Quantile Regression. This volume includes 36 refereed invited papers under seven headings. ... Read more
This volume contains a selection of invited papers, presented to the fourth In Statistical Analysis Based on the L1-Norm and Related ternational Conference on Methods, held in Neuchatel, Switzerland, from August 4-9, 2002. Organized jointly by the University of Illinois at Chicago (Gib Bassett), the Rutgers University (Regina Liu and Yehuda Vardi) and the University of Neuchatel (Yadolah Dodge), the conference brought together experts whose research deals with theory and ap plications involving the L1-Norm. The conference included invited and contributed talks as well as a tutorial on Quantile Regression. This volume includes 36 refereed invited papers under seven headings. ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer Basel Switzerland
Number of pages
468
Condition
New
Series
Statistics for Industry and Technology
Number of Pages
456
Place of Publication
Basel, Switzerland
ISBN
9783034894722
SKU
V9783034894722
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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