Inbunden, Engelska, 2026

Asymptotic and Methodological Statistics

Festschrift in Honor of Marie Hušková

Av Daniel Hlubinka, Šárka Hudecová, Matúš Maciak, Michal Pešta

2157 kr

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Beskrivning

This book on asymptotic and methodological statistics celebrates the distinguished career of Marie Hušková and her foundational work in modern mathematical statistics. It brings together original research contributions from renowned statisticians, focusing on asymptotic theory, methodological innovations, and applications in statistical inference. The volume highlights cutting-edge developments in change-point analysis, goodness-of-fit testing and nonparametric statistics, reflecting the extensive impact Marie Hušková has had in shaping the direction of contemporary statistical science. It serves both as a tribute to her career and as a valuable resource for researchers and PhD students.

Produktinformation

Utgivningsdatum: 2026-05-05
Mått: 155 x 235 x 31 mm
Vikt: 823 g
Format: Inbunden
Språk: Engelska
Antal sidor: 444
Förlag: Springer Nature Switzerland AG
ISBN: 9783032071774

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Mer om författaren

Daniel Hlubinka is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His research interests include stochastic processes and functional data.Šárka Hudecová is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. Her research interests include time series analysis and multivariate statistics.Matúš Maciak is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His research interests include change point analysis and non-parametric statistics.Michal Pešta is an Associate Professor at the Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His research interests include resampling methods and statistical inference.

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