Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis
[Wiley Series in Probability and Statistics] Robust Statistics (Theory and Methods) || Linear Regression 2
✍ Scribed by Maronna, Ricardo A.; Martin, R. Douglas; Yohai, VÃctor J.
- Publisher
- John Wiley & Sons, Ltd
- Year
- 2006
- Tongue
- English
- Weight
- 630 KB
- Edition
- 1
- Category
- Article
- ISBN
- 0470010924
No coin nor oath required. For personal study only.
✦ Synopsis
LINEAR REGRESSION 2
Table 5.1 Mineral data: copper (Cu) and zinc (Zn) contents Obs. Cu Zn Obs. Cu Zn
📜 SIMILAR VOLUMES
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis
Robust Statistics Sets Out To Explain The Use Of Robust Methods And Their Theoretical Justification. It Provides An Up-to-date Overview Of The Theory And Practical Application Of Robust Statistical Methods In Regression, Multivariate Analysis, Generalized Linear Models And Time Series. Robust Statis