An algorithm for conducting hypotheses testing based on Neyman-Pearson Lemma. I. The case of continuous univariates

Parthasarathy S.; Sekar K.

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An algorithm for conducting hypotheses testing based on Neyman-Pearson Lemma. I. The case of continuous univariates

机译：一种基于Neyman-Pearson Lemma进行假设检验的算法。一，连续单变量的情况

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《Current science》 |1992年第11期|共页
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Parthasarathy S.; Sekar K.;
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中图分类自然科学总论;
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2. Generalized Neyman-Pearson optimality of empirical likelihood for testing parameter hypotheses [J] . Otsu T Annals of the Institute of Statistical Mathematics . 2009,第4期

机译：检验参数假设的经验似然的广义Neyman-Pearson最优性
3. How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing [J] . Bartz-Beielstein T Synthese: An International Journal for Epistemology, Methodology and Philosophy of Science . 2008,第3期

机译：Mayo对Neyman-Pearson测试理论的扩展如何使实验算法学受益
4. Objective quality assessment of speech enhancement algorithms using bootstrap-based multiple hypotheses tests [C] . Lu, Zhihua, Heidenreich, Philipp, Zoubir, Abdelhak M. IEEE International Conference on Acoustics Speech and Signal;ICASSP 2010 . 2010

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5. Comparison of two human detection algorithms that apply Bayesian and Neyman-Pearson test criteria using infrared images. [D] . Laryea, Henry. 2008

机译：比较两种使用红外图像应用贝叶斯和Neyman-Pearson测试标准的人体检测算法。
6. An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data [O] . Michael Lecocke, Kenneth Hess 2006

机译：基于单变量和遗传算法的微阵列数据二元分类特征选择的实证研究
7. Definição do tamanho amostral usando simulação Monte Carlo para o teste de normalidade baseado em assimetria e curtose: I. Abordagem univariada Definition of the sample size by using Monte Carlo simulation for the normality test based on skewness and kurtosis coefficients: I. Univariate approach [O] . Andréa Cristiane dos Santos, Daniel Furtado Ferreira 2003

机译：使用蒙特卡洛模拟进行基于不对称性和峰度的正态性检验的样本量定义：I.单变量方法使用蒙特卡洛模拟进行基于偏度和峰度系数的正态性检验的样本量定义：I.单变量方法
8. Multiple Use One-Sided Hypotheses Testing in Univariate Linear Calibration [R] . Krishnamoorthy, K., Kulkarni, Pandurang M., Mathew, Thomas 1996

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An algorithm for conducting hypotheses testing based on Neyman-Pearson Lemma. I. The case of continuous univariates

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