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NONPARAMETRIC TRUNCATED SEQUENTIAL CHANGE-POINT DETECTION

  • E. Gombay
Published/Copyright: January 1, 1995
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Statistics & Risk Modeling
From the journal Statistics & Risk Modeling Volume 13 Issue 1

Published Online: 1995-01
Published in Print: 1995-01

© 2014 Oldenbourg Wissenschaftsverlag GmbH, Rosenheimer Str. 145, 81671 München

Articles in the same Issue

  1. Index
  2. ON SELECTING THE SMOOTHING PARAMETER OF LEAST SQUARES REGRESSION ESTIMATES USING THE MINIMAX REGRET APPROACH
  3. PARTITIONING-ESTIMATES OF A REGRESSION FUNCTION UNDER RANDOM CENSORING
  4. ON THE LFC OF THE NATURAL CLASSIFICATION RULE UNDER A NEW LOSS FUNCTION
  5. SELECTING BEST NEGATIVE BINOMIAL POPULATION USING TWO DISTANCE MEASURES
  6. NONPARAMETRIC TRUNCATED SEQUENTIAL CHANGE-POINT DETECTION
  7. NEGLECTING OBSERVATIONS IN GAUSSIAN SEQUENCES OF STATISTICAL EXPERIMENTS
  8. Book Reviews
  9. INSTRUCTIONS TO AUTHORS
  10. Impressum
https://doi.org/10.1524/strm.1995.13.1.71

Articles in the same Issue

  1. Index
  2. ON SELECTING THE SMOOTHING PARAMETER OF LEAST SQUARES REGRESSION ESTIMATES USING THE MINIMAX REGRET APPROACH
  3. PARTITIONING-ESTIMATES OF A REGRESSION FUNCTION UNDER RANDOM CENSORING
  4. ON THE LFC OF THE NATURAL CLASSIFICATION RULE UNDER A NEW LOSS FUNCTION
  5. SELECTING BEST NEGATIVE BINOMIAL POPULATION USING TWO DISTANCE MEASURES
  6. NONPARAMETRIC TRUNCATED SEQUENTIAL CHANGE-POINT DETECTION
  7. NEGLECTING OBSERVATIONS IN GAUSSIAN SEQUENCES OF STATISTICAL EXPERIMENTS
  8. Book Reviews
  9. INSTRUCTIONS TO AUTHORS
  10. Impressum
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