Journal of Applied Statistics


ISSN: 0266-4763        年代:1999
当前卷期:Volume 26  issue 1     [ 查看所有卷期 ]

年代:1999
 
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1. A Markov chain model for longitudinal categorical data when there may be non-ignorable non-response
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  5-18

Saling Huang,   MortonB. Brown,  

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2. Optimal orthogonal block designs for a quadratic mixture model for three components
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  19-34

L. Y. Chan,  

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3. Exact joint forecast regions for vector autoregressive models
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  35-44

Wai-Sum Chan,  

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4. Non-parametric estimation with doubly censored data
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  45-58

Guadalupe Gomez,   M. Luz Calle,  

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5. Antedependence models in the analysis of multi-group high-dimensional data
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  59-67

W. J. Krzanowski,  

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6. Paired comparison models applied to the design of the Major League baseball play-offs
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  69-80

DonaldE. K. Martin,  

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7. Interval estimators for the population mean for skewed distributions with a small sample size
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  81-96

Glen Meeden,  

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8. Remarks on the 'Bayesian' method of moments
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  97-101

Seymour Geisser,  

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9. Recursive and en-bloc approaches to signal extraction
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  103-128

Peter Young,  

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10. Shewhart control charts for the scale parameter of a Weibull control variable with fixed and variable sampling intervals
  Journal of Applied Statistics,   Volume  26,   Issue  1,   1999,   Page  129-160

M. F. Ramalhoto,   M. Morais,  

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