Statistical Inference Based on Kernel Distribution Function Estimators

Häftad, Engelska, 2023

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This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency.

Produktinformation

Utgivningsdatum2023-06-01
Mått155 x 235 x 7 mm
Vikt172 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Statistics
Antal sidor96
FörlagSpringer Verlag, Singapore
ISBN9789819918614

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Matematisk statistik inom Naturvetenskap och teknik

Rizky Reza Fauzi: His major field is mathematical statistics, and he got Ph.D. in 2020. He has good skill of mathematics and published 4 papers. He will be one of the leading researchers in Indonesia.Yoshihiko Maesono: He published about 50 papers which study nonparametric inference. In the last 20 years, he has been studying kernel-type estimation and obtained new theoretical results, especially the methods based on kernel estimation of the distribution function.