Parametric tests make assumptions that aspects of the data follow some sort of theoretical probability distribution. Non-parametric tests or distribution free methods do not, and are used when the ...
Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...
This project explores a health insurance dataset to uncover trends in insurance charges and BMI distributions. The dataset contains information on individuals' demographic and health-related factors, ...
A non-parametric test for the bivariate c-sample problem is proposed. The test is an extension of a bivariate two-sample test given by Mardia (1967) and possesses various desirable properties. We ...
Value-at-risk (VaR) is one of the most common risk measures used in finance. The correct estimation of VaR is essential for any financial institution, in order to arrive at the accurate capital ...
The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 35, No. 2 (Jun., 2007), pp. 249-264 (16 pages) The authors propose a goodness-of-fit test for parametric regression models ...
KEYSIGHT TECHNOLOGIES P9002A parallel parametric test system provides high throughput and cost effective wafer test to accelerate time-to-market in R&D and lower cost-of-test in manufacturing. Device ...
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