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Statistical Data Analysis Based on the L1-Norm and Related Methods (Statistics for Industry and Technology)
 
 
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Statistical Data Analysis Based on the L1-Norm and Related Methods (Statistics for Industry and Technology) [Hardcover]

Yadolah Dodge (Editor)


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Book Description

Statistics for Industry and Technology September 17, 2002

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent a clear evidence to the importance of development of theory, methods and applications related to the statistical data analysis based on the L1-norm.


Product Details

  • Hardcover: 454 pages
  • Publisher: Birkhäuser Basel; 1 edition (September 17, 2002)
  • Language: English
  • ISBN-10: 3764369205
  • ISBN-13: 978-3764369200
  • Product Dimensions: 9.9 x 7 x 1.1 inches
  • Shipping Weight: 2.4 pounds
  • Amazon Best Sellers Rank: #3,596,561 in Books (See Top 100 in Books)

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
halfspace median, spatial quantiles, associated data depth, aviation inspection reports, locally dependent processes, relative risk curve, statistical depth functions, halfspace depth, dispersion orderings, equivariant signs, nonparametric quantile regression, silhouette width, negative definite kernel, median extension, rank covariance matrices, robust bootstrap, regression depth, vertical outliers, quantile regression models, plastic splines, sample breakdown point, two parametric models, univariate median, quartile function, truncated distance
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Statistical Data Analysis, Sao Paulo, Verlag Basel, Annals of Statistics, Mathematics Subject Classification, Department of Statistics, Expected Shortfall, Journal of the American Statistical Association, Loan Duration, Journal of Multivariate Analysis, Germany E-mail, Monte Carlo, Philip Kokic, Rutgers University, Tyler's Angles, A'erlag Basel, Checking Account Status, Classification Based, Computational Statistics, Harvard University, John Wiley, Lecture Notes, University of Konstanz, Belgium E-mail
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