Kniha ROBUST INFERENCE FOR LOCATION PARAMETERS Bei Feng

ROBUST INFERENCE FOR LOCATION PARAMETERS

ONE- AND TWO-SAMPLE PROBLEMS

Autor: Bei Feng
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
Estimating measures of location is a fundamental§statistical problem. The sample mean is not always...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
124
EAN
9783639008524
Enbook ID
06810934
Rozměry
150 x 220 x 7

Kompletní popis

Estimating measures of location is a fundamental§statistical problem. The sample mean is not always a §good choice to estimate location because it is§not resistant to the influence of outliers. To treat§this problem in a precise manner when nonnormality is§present, we may use robust location estimates. In§this work, we present a number of robust location§functionals and deter- mine their breakdown point and§influence function. We study robust location§estimates such as the sample trimmed mean, the sample§Winsorized mean and estimates based on symmetric§quantiles. Confidence interval estimation and§hypothesis testing are examined from a robust§perspective. Both the one-sample case and the§two-sample case are considered, the latter under two§situations : independence and dependence. A few§practical examples illustrate the study. Some R§programmes are presented in this book.

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