Search results
Results from the WOW.Com Content Network
[2] [3] [4] It has an integrated spreadsheet for data input and can import files in several formats (Excel, SPSS, CSV, ...). MedCalc includes basic parametric and non-parametric statistical procedures and graphs such as descriptive statistics , ANOVA , Mann–Whitney test , Wilcoxon test , χ 2 test , correlation , linear as well as non-linear ...
Logistic regression is a supervised machine learning algorithm widely used for binary classification tasks, such as identifying whether an email is spam or not and diagnosing diseases by assessing the presence or absence of specific conditions based on patient test results. This approach utilizes the logistic (or sigmoid) function to transform ...
Epi Info has been in development for over 20 years. The first version, Epi Info 1, was originally developed by Jeff Dean while he was in high school. [3] [4] It was an MS-DOS batch file on 5.25" floppy disks and released in 1985. [5]
Creator Development started First public release Latest stable version Stable release date Cost () License Notes ADMB: David Fournier, ADMB Project
In probability theory and statistics, the logistic distribution is a continuous probability distribution. Its cumulative distribution function is the logistic function, which appears in logistic regression and feedforward neural networks. It resembles the normal distribution in shape but has heavier tails (higher kurtosis).
Multinomial logistic regression is known by a variety of other names, including polytomous LR, [2] [3] multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum entropy model.
DAP can perform linear regression and can utilize regressions to build linear models. In addition to linear regression, DAP can also perform logistic regression analysis as well. There's a variety of other analysis that DAP can do as well including building loglinear models as well as Logit models for linear-by-linear association.
It can be applied with regression analysis to customer targeting and to assess effectiveness of promotional activities. [ 1 ] Used to assess the scope of customer acceptance of a new product , it attempts to determine the intensity or magnitude of customers' purchase intentions and translates that into a measure of actual buying behaviour.