Introduction to robust estimation and hypothesis testing
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Amsterdam ; Boston :
Academic Press,
2012.
|
| Putanga: | 3rd ed. |
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite: Introduction to robust estimation and hypothesis testing
- Foundations of estimation theory /
- Multivariate density estimation : theory, practice, and visualization /
- Maximum likelihood estimation and inference with examples in R, SAS, and ADMB /
- Theory of point estimation
- Causality statistical perspectives and applications /
- Guesstimation 2.0 solving today's problems on the back of a napkin /