Components of the Pearson-Fisher chi-squared statistic.
Rayner, G. D. (2002)
Journal of Applied Mathematics and Decision Sciences
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Rayner, G. D. (2002)
Journal of Applied Mathematics and Decision Sciences
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Mizuki Onozawa, Sho Takahashi, Takashi Seo (2013)
Discussiones Mathematicae Probability and Statistics
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In this paper, we consider profile analysis for the observations with two-step monotone missing data. There exist three interesting hypotheses - the parallelism hypothesis, level hypothesis, and flatness hypothesis - when comparing the profiles of some groups. The T²-type statistics and their asymptotic null distributions for the three hypotheses are given for two-sample profile analysis. We propose the approximate upper percentiles of these test statistics. When the data do not have...
George Roussas (1980)
Banach Center Publications
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Aneta Andrášiková, Eva Fišerová (2020)
Applications of Mathematics
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Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its main idea is based on evaluating the time until the occurrence of an event of interest. The effect of some particular covariates on survival time is usually described by the Cox proportional hazards model and the statistical significance of the impact of covariates is verified by the likelihood ratio test, the Wald test, or the score test. In addition to standard tests, appropriate higher-order...
K. Sarkadi (1980)
Banach Center Publications
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Carolan, Anthony M., Rayner, J.C.W. (2001)
Journal of Applied Mathematics and Decision Sciences
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R. Pincus (1980)
Banach Center Publications
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Wong, A. (2010)
Journal of Probability and Statistics
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M. L. MARTÍNEZ and E. M. PARRADO F. J. GIRÓN (1999)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Andrzej Kornacki (2013)
Biometrical Letters
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For the detection of outliers (observations which are seemingly different from the others) the method of testing hypotheses is most often used. This approach, however, depends on the level of significance adopted by the investigator. Moreover, it can lead to the undesirable effect of “masking” of the outliers. This paper presents an alternative method of outlier detection based on the Akaike information criterion. The theory presented is applied to analysis of the results of beet leaf...