Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 48, No. 4 (1999), pp. 507-516 (10 pages) We show how to use computer algebra for computing exact distributions of ...
The Annals of Statistics, Vol. 39, No. 1 (February 2011), pp. 232-260 (29 pages) The estimation of surface integrals on the boundary of an unknown body is a challenge for nonparametric methods in ...
This short course will provide an overview of non-parametric statistical techniques. The course will first describe what non-parametric statistics are, when they should be used, and their advantages ...
Nonparametric methods form an important core of statistical techniques and are typically used when data do not meet parametric assumptions. Understanding the foundation of these methods, as well as ...
Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods. Nonparametric techniques bypass ...
Thesis: On the problem of sequential discrimination. RESEARCH INTERESTS: general methodology, classification, categorical data, zero-inflated distributions, statistical consulting. COURSES TAUGHT: ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data. Having data is only half the battle. How do you know your data actually ...
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