This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students.
| Specifications |
Descriptions |
| ISBN |
9780367194840 |
| Published Year |
2021 |
| Binding |
Hardback |
| Subject |
Statistics & Probability |
| Pages |
224 |
| Weight |
0.6 (In Kg) |
| Readership |
Statistics & Probability |
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