نتایج جستجو برای: s test histogram p
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Our proposed hyper kurtosis based histogram equalized DIC images enhances the contrast by preserving the brightness. The evolution and development of precancerous activity among tissues are studied through S-transform (ST). The significant variations of amplitude spectra can be observed due to increased medium roughness from normal tissue were observed in time-frequency domain. The randomness a...
Most gray images don’t always require an 8-bit representation for each pixel; in particular, a pixel of texture images may even be coded in no more than 5 bits (32 gray levels). Adequately enough it is probable that between 16 to 32 levels of gray could be a suitable threshold for most gray level texture image representation, before the image shows signs of false contouring or any notable rough...
The objective is to explore the value of preoperative magnetic resonance (MR) histogram analyses in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC).Fifty-one patients with histologically confirmed HCC who underwent diffusion-weighted and contrast-enhanced MR imaging were included. Histogram analyses were performed and mean, variance, skewness, kurtosis, 1th, 10th, 50th...
This vignette is designed to give a short overview about Pareto Distributions and Generalized Pareto Distributions (GPD). We will work with the SPC.we data of our quantmod vignette. Therefore we have to reproduce the SPC.we data in exactly the same way as described the quantmod vignette. In financial data analysis stock indices as the S&P 500 index are typically analyzed by using the returns of...
Contemporary datasets are becoming increasingly larger and more complex, while techniques to analyse them are becoming more and more inadequate. Thus, new methods are needed to handle these new types of data. This study introduces methods to cluster histogram-valued data. However, histogram-valued data are difficult to handle computationally because observations typically have a different numbe...
A new test of inheritance, S, is proposed, which uses information from affected as well as unaffected siblings in the fam­ ily. The siblings are analyzed in terms of similarities of haplotypes. The distribution of the proposed S­test is derived under the null hypothesis of random inheritance. Mean and variance are obtained for the distribution. The test is then applied to data sets publ...
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