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Simultaneously quantifying<i>K</i><sub>1</sub>,<i>k</i><sub>2</sub>, and blood volume in myocardial imaging with overlapping volumes of interest: practical identifiability. [PDF]
Stentz DJ, Guerraty MA, Metzler SD.
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Saddlepoint approximations for linear rank tests with left-truncated, right-censored, and cross-sectional data under randomized block design. [PDF]
Kamal KS, Abd El-Raheem AEM, Ramadan MM.
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Self-Normalized Cramér Type Moderate Deviations for Pooled Estimation in Branching Processes in a Random Environment. [PDF]
Yao Q, Li M.
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Family-Wise Error Rate Control in Clinical Trials With Overlapping Populations. [PDF]
Luschei R, Brannath W.
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On the Accuracy of the Normal Approximation for Quantiles
It is well known that the sample $p$-quantile is asymptotically normally distributed. This paper presents an estimate for the accuracy of the normal approximation. The special intention of this paper is to obtain favorable bounds for moderate samples.
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An Approximate Distribution for the Normalized Cut
Journal of Mathematical Imaging and Vision, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Cosine Approximation to the Normal Distribution
Psychometrika, 1961A cosine function is suggested to approximate the normal distribution as a device for simplifying algebraic manipulations of the latter. Numerical evaluations remain straightforward and employ only the commonly available trigonometric tables. A method of visual curve fitting requiring only an oscilloscope is also described.
Raab, David H., Green, Edward H.
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