Asymptotic and Methodological Statistics: Festschrift in Honor of Marie Hušková - Hardcover

Hardcover

ISBN 10: 3032071771 ISBN 13: 9783032071774

Verlag: Springer, 2026

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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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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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 3032071771
• ISBN 13: 9783032071774
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 471
• Herausgeber: Hlubinka Daniel, Hudecová Šárka, Maciak Matúš, Pešta Michal
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland