A new approach to estimate the critical constant of selection procedures.
Chen, E.Jack, Li, Min (2010)
Advances in Decision Sciences
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Displaying similar documents to “Lower confidence bounds for the probabilities of correct selection.”
A new approach to estimate the critical constant of selection procedures.
A two-stage procedure on comparing several experimental treatments and a control -- the common and unknown variance case.
Zhang, John, Chen, Pinyuen, Fang, Yue (2005)
Journal of Applied Mathematics and Decision Sciences
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Spatial scan statistics adjusted for multiple clusters.
Zhang, Zhenkui, Assunção, Renato, Kulldorff, Martin (2010)
Journal of Probability and Statistics
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On determination of ETL – a distributional approach
Satyabrata Pal, Arunava Ghosh, Tapamay Dhar (2013)
Biometrical Letters
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Economic threshold level (ETL) is an important component in pest management and control. Usually, it is determined by the grower/technologist utilizing his experience on a crop; however, for cereals the values of these indices are available. Knowledge of ETL helps reduce crop loss (and ensure less pesticide application), and as a consequence, profit is increased. Also substantial knowledge is required on the dynamics of the pest population, in order to determine the density at which...
On the existence and uniqueness of the maximum likelihood estimators of normal and lognormal population parameters with grouped data.
Xia, Jin, Mi, Jie, Zhou, Yanyan (2009)
Journal of Probability and Statistics
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A note on confidence interval for the power of the one sample test.
Wong, A. (2010)
Journal of Probability and Statistics
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Comparing estimation methods for the FPLD.
Tarsitano, Agostino (2010)
Journal of Probability and Statistics
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Interpretation of pattern classification results, obtained from a test set
Edgard Nyssen (1998)
Kybernetika
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The present paper presents and discusses a methodology for interpreting the results, obtained from the application of a pattern classifier to an independent test set. It addresses the problem of testing the random classification null hypothesis in the multiclass case, by introducing an exact probability technique. The discussion of this technique includes the presentation of an interval estimation technique for the probability of correct classification, which is slightly more accurate...