Robust Statistical Methods
โ Scribed by William J. J. Rey
- Publisher
- Springer
- Year
- 1978
- Tongue
- English
- Leaves
- 133
- Series
- Lecture Notes in Mathematics 690
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
"Often referred to as distribution-free methods, nonparametric methods do not rely on assumptions that the data are drawn from a given probability distribution. With an emphasis on Wilcoxon rank methods that enable a unified approach to data analysis, this book presents a unique overview of robust n
<p>Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the app
Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robu