Methods Of Kernel Estimates Represent One Of The Most Effective Nonparametric Smoothing Techniques. These Methods Are Simple To Understand And They Possess Very Good Statistical Properties. This Book Provides A Concise And Comprehensive Overview Of Statistical Theory And In Addition, Emphasis Is Giv
Local Smoothing for Kernel Distribution Function Estimation
β Scribed by Dutta, Santanu
- Book ID
- 127060990
- Publisher
- Taylor and Francis Group
- Year
- 2014
- Tongue
- English
- Weight
- 183 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0361-0918
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Methods Of Kernel Estimates Represent One Of The Most Effective Nonparametric Smoothing Techniques. These Methods Are Simple To Understand And They Possess Very Good Statistical Properties. This Book Provides A Concise And Comprehensive Overview Of Statistical Theory And In Addition, Emphasis Is Giv
Methods Of Kernel Estimates Represent One Of The Most Effective Nonparametric Smoothing Techniques. These Methods Are Simple To Understand And They Possess Very Good Statistical Properties. This Book Provides A Concise And Comprehensive Overview Of Statistical Theory And In Addition, Emphasis Is Giv