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Advances in Ranking and Selection, Multiple Comparisons, and Reliability

Bag om Advances in Ranking and Selection, Multiple Comparisons, and Reliability

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan¿s influence and impact on these areas. Thematically organized, the chapters cover a broad range of topics from: - Inference - Ranking and Selection - Multiple Comparisons and Tests - Agreement Assessment - Reliability - Biostatistics Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780817632328
  • Indbinding:
  • Hardback
  • Sideantal:
  • 460
  • Udgivet:
  • 15. december 2004
  • Størrelse:
  • 183x30x260 mm.
  • Vægt:
  • 1056 g.
  • 8-11 hverdage.
  • 6. december 2024
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Beskrivelse af Advances in Ranking and Selection, Multiple Comparisons, and Reliability

S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan¿s influence and impact on these areas.

Thematically organized, the chapters cover a broad range of topics from:
- Inference

- Ranking and Selection

- Multiple Comparisons and Tests

- Agreement Assessment

- Reliability

- Biostatistics

Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.

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