Kniha ROBUST INFERENCE FOR LOCATION PARAMETERS Bei Feng

ROBUST INFERENCE FOR LOCATION PARAMETERS

ONE- AND TWO-SAMPLE PROBLEMS

Autor: Bei Feng
Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: U vydavateľa na objednávku
Odosielame za 17-27 dní
58.19
Estimating measures of location is a fundamental§statistical problem. The sample mean is not always...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
124
EAN
9783639008524
Enbook ID
06810934
Rozmery
150 x 220 x 7

Kompletný 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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