Results 11 to 20 of about 3,413,153 (141)
Pitman B. Potter - Publications Record [Bibliography] [PDF]
Bibliography of Pitman B ...
Potter, Pitman B.
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The most efficient linear combination of the Sign and the Maesono tests for p-normal distributions
This paper deals with the Pitman most efficient Gr linear combination of the Sign and the Maesono tests for parent distributions belonging to the p-normal family of densities. The most efficient linear combinations G2 and G4 are obtained.
Giuseppe Burgio, Stefano Patrì
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On the combination of the sign and Maesono tests for simmetry and its efficiency
We propose a new test for the simmetry hypothesis which is a combination of the sign statistic and the Wr Maesono statistic. The latter generalizes the Wilcoxon statistic and coincides with it for r = 2. The proposed statistic belongs to the class of non-
Giuseppe Burgio, Yakov Yu. Nikitin
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Asymptotic relative Pitman efficiency in group models
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Chang, Ted, Tsai, Ming-Tien
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Performance Analysis of Gini Correlator for Detecting Known Signals in Impulsive Noise
Detection of known signals embedded in additive noise is a fundamental problem in signal processing. For normally distributed noise, it is well known that the popular matched filter detector (MFD) is optimal.
Changrun Chen +4 more
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The increase in urban population has required cities to rethink their strategies for minimising greenhouse gas impacts and adapting to climate change. While urban design and planning policy have been guided by principles such as walkability (to reduce ...
Silvia Tavares, Simon Swaffield
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A Generalized Pitman Efficiency for Nonparametric Tests
Asymptotic expressions up to terms of order $n^{-2}$ are given for the efficiency of the Wilcoxon two-sample test relative to the standard-normal test and $t$-test for nearby alternatives. The first term is the well-known Pitman efficiency; the remaining terms are corrections for finite sample sizes.
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Pitman Efficiencies of Kolmogorov-Smirnov Tests
A comparison, by means of Pitman asymptotic efficiency, is made between the Kolmogorov-Smirnov test and the locally most powerful rank and the locally asymptotically most powerful (Neyman) test for testing two-sided shifts in the two-sample problem under the assumption that the true distribution is different from the one assumed.
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A Generalization of the Sukhatme's Test for Two-Sample Scale Problem
In this paper, we present nonparametric tests for the two-sample scale problem. The proposed tests include as special case the B.V. Sukhatme, Ann. Math. Stat. 28 (1957), 188–194, and J.V. Deshpande, K. Kusum, Aust. J. Stat. 26 (1984), 16–24 tests.
Manish Goyal, Narinder Kumar
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