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5 produkter
When Does Bootstrap Work?
Asymptotic Results and Simulations
Av Enno Mammen
Häftad, 1992
1314 kr
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In these notes some results are presented for the asymptotic behavior of the bootstrap procedure. Bootstrap is a procedure for estimating (approximating) the distribution of a statistic. It is based on resampling and simulations. It was been introduced in Efron (1979) and in the last decade it has …
When Does Bootstrap Work?
Asymptotic Results and Simulations
Av Enno Mammen
E-bok, 2012
1785 kr
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Foundations of Modern Statistics
Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019
Av Denis Belomestny, Cristina Butucea m. fl.
Inbunden, 2023
2125 kr
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This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), …
Foundations of Modern Statistics
Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019
Av Vladimir V. Ulyanov, Markus Rei m. fl.
E-bok, 2023
2517 kr
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This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), …
Foundations of Modern Statistics
Festschrift in Honor of Vladimir Spokoiny, Berlin, Germany, November 6–8, 2019, Moscow, Russia, November 30, 2019
Av Denis Belomestny, Cristina Butucea m. fl.
Häftad, 2024
1967 kr
Lägg i varukorg
This book contains contributions from the participants of the international conference “Foundations of Modern Statistics” which took place at Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin, during November 6–8, 2019, and at Higher School of Economics (HSE University), …
