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Theory of Nonparametric Tests
Taschenbuch von Thorsten Dickhaus
Sprache: Englisch

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Beschreibung
This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.
This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.
Über den Autor
Thorsten Dickhaus
obtained his Ph.D. in mathematics from the Heinrich Heine University, Düsseldorf, Germany in 2008. He held postdoc positions at the German Diabetes Center Düsseldorf and Berlin Institute of Technology. In 2010 he became a Junior Professor of Mathematical Statistics at the Humboldt University of Berlin, Germany. Since 2015 he has been a Full Professor of Mathematical Statistics at the University of Bremen, Germany.
Zusammenfassung

Provides a cohesive and self-contained introduction to nonparametric statistical testing

Includes exercises and solution tips

Offers a unified perspective on a variety of nonparametric test problems

Discusses concrete examples and computer implementations in addition to the mathematical theory

Inhaltsverzeichnis
Introduction and Examples.- Empirical Measure, Empirical Processes.- Goodness-of-fit Tests.- Rank Tests.- Asymptotics of Linear Resampling Statistics.- Bootstrap Methods for Linear Models.- Projection Tests.- Some Extensions.
Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: x
124 S.
2 s/w Illustr.
1 farbige Illustr.
124 p. 3 illus.
1 illus. in color.
ISBN-13: 9783030094621
ISBN-10: 3030094626
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Dickhaus, Thorsten
Auflage: Softcover reprint of the original 1st ed. 2018
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 235 x 155 x 8 mm
Von/Mit: Thorsten Dickhaus
Erscheinungsdatum: 12.01.2019
Gewicht: 0,224 kg
Artikel-ID: 115832817
Über den Autor
Thorsten Dickhaus
obtained his Ph.D. in mathematics from the Heinrich Heine University, Düsseldorf, Germany in 2008. He held postdoc positions at the German Diabetes Center Düsseldorf and Berlin Institute of Technology. In 2010 he became a Junior Professor of Mathematical Statistics at the Humboldt University of Berlin, Germany. Since 2015 he has been a Full Professor of Mathematical Statistics at the University of Bremen, Germany.
Zusammenfassung

Provides a cohesive and self-contained introduction to nonparametric statistical testing

Includes exercises and solution tips

Offers a unified perspective on a variety of nonparametric test problems

Discusses concrete examples and computer implementations in addition to the mathematical theory

Inhaltsverzeichnis
Introduction and Examples.- Empirical Measure, Empirical Processes.- Goodness-of-fit Tests.- Rank Tests.- Asymptotics of Linear Resampling Statistics.- Bootstrap Methods for Linear Models.- Projection Tests.- Some Extensions.
Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: x
124 S.
2 s/w Illustr.
1 farbige Illustr.
124 p. 3 illus.
1 illus. in color.
ISBN-13: 9783030094621
ISBN-10: 3030094626
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Dickhaus, Thorsten
Auflage: Softcover reprint of the original 1st ed. 2018
Hersteller: Springer International Publishing
Springer International Publishing AG
Maße: 235 x 155 x 8 mm
Von/Mit: Thorsten Dickhaus
Erscheinungsdatum: 12.01.2019
Gewicht: 0,224 kg
Artikel-ID: 115832817
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