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10-03-2021 · This option is only valid when disassembling a raw instruction binary (see option '--binary'), and is ignored when disassembling Dataflow analysis is normally enabled to perform branch stack analysis and annotate This product includes software developed by ...read more

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Since other SO answers link to this question it's worth noting that there is another option now in PyOxidizer.. It's a rust utility which works in some of the same ways as pyinstaller, however has some additional features detailed here, to summarize the key ones:. Single binary of all packages by default with the ability to do a zero-copy load of modules into memory, vs pyinstaller extracting ...read more

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29-10-2019 · When designing a study to develop a new prediction model with binary or time‐to‐event outcomes, researchers should ensure their sample size is adequate in terms of the number of participants (n) and outcome events (E) relative to the number of predictor parameters (p) considered for inclusion.We propose that the minimum values of n and E (and subsequently the minimum number of … ...read more

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Ordinary Least Squares regression provides linear models of continuous variables. However, much data of interest to statisticians and researchers are not continuous and so other methods must be used to create useful predictive models. The glm() command is designed to perform generalized linear models (regressions) on binary outcome data, count data, probability data, proportion data and many ...read more

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Forensic Software Analysis. Forensic software analysis focuses on comparing or reverse engineering software: reverse engineering malware is one of the most common examples. Investigators are often presented with a binary copy of a malicious program, and seek to deduce its behavior. Tools used for forensic software analysis include disassemblers ...read more

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### CUDA Binary Utilities :: CUDA Toolkit Documentation

Standard methods of performing factor analysis ( i.e., those based on a matrix of Pearson’s correlations) assume that the variables are continuous and follow a multivariate normal distribution. If the model includes variables that are dichotomous or ordinal a factor analysis can be performed using a polychoric correlation matrix. ...read more

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The results given are a residuals analysis, parameters of the models, the model equation, the standardized coefficients, Type I SS, Type III SS, and predictions are displayed. In addition several multiple comparison methods can optionally be performed: Bonferroni's and Dunn-Sidak corrected t test, Tukey's HSD test, Fisher's LSD test, Duncan's test, Newman-Keuls' (SNK) method and the REGWQ … ...read more

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