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Foundations of statistical algorithms : with reference to R packages / Claus Weihs, Olaf Mersmann and Uwe Ligges.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC computational science and data analysis seriesPublication details: Boca Raton : CRC Press, c2014.Description: xxv, 473 p. : illustrations ; 24 cmISBN:
  • 9781439878859 (hardback)
Subject(s): DDC classification:
  • 000SA.055 23 W419
Contents:
1. Introduction-- 2. Computation-- 3. Verification-- 4. Iteration-- 5. Deduction of theoretical properties-- 6. Randomization-- 7. Repetition-- 8. Scalability and parallelization-- Bibliography-- Index.
Summary: "Reviewing the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms, this comprehensive textbook emphasizes recurring themes in all statistical algorithms including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, it touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. Broadly accessible, it offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website."--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.055 W419 (Browse shelf(Opens below)) Available 135464
Total holds: 0

Includes bibliographical references (pages 449-465) and index.

1. Introduction--
2. Computation--
3. Verification--
4. Iteration--
5. Deduction of theoretical properties--
6. Randomization--
7. Repetition--
8. Scalability and parallelization--

Bibliography--
Index.

"Reviewing the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms, this comprehensive textbook emphasizes recurring themes in all statistical algorithms including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, it touches on topics not usually covered in similar books, namely, systematic verification and the scaling of many established techniques to very large databases. Broadly accessible, it offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website."--

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