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Veröffentlichungen von

Veröffentlichungen

Prof. Dr. rer. nat. Daniel Gaigall

Monografien

On selected problems in multivariate analysis

Gaigall, Daniel (2023)

- 17 Seiten

Zugriff:

https://doi.org/10.15488/14304

Vergleich von statistischen Tests im verbundenen und unabhängigen Stichprobenfall

Gaigall, Daniel (2016)

Hannover : Gottfried Wilhelm Leibniz Universität Hannover- 281 Seiten

Zugriff:

https://doi.org/10.15488/8678

Zeitschriftenartikel

Cramér-von-Mises tests for the distribution of the excess over a confidence level

Gaigall, Daniel ; Gerstenberg, Julian (2023)

In: Journal of Nonparametric Statistics. Taylor & Francis. (2023).

ISSN:

1048-5252 (Print) , 1029-0311 (Online)

Zugriff:

https://doi.org/10.1080/10485252.2023.2173958

Allocating and forecasting changes in risk

Gaigall, Daniel (2023)

In: Journal of risk. London : Infopro Digital Risk. 25 (2023), H. 3. Seite: 1 - 24

ISSN:

1755-2842 , 1465-1211

Zugriff:

https://doi.org/10.21314/JOR.2022.048

On the applicability of several tests to models with not identically distributed random effects

Gaigall, Daniel (2023)

In: Statistics : A Journal of Theoretical and Applied Statistics. London : Taylor & Francis. 57 (2023). - 14 Seiten

ISSN:

1029-4910 , 0323-3944

Zugriff:

https://doi.org/10.1080/02331888.2023.2193748

A goodness-of-fit test for the compound Poisson exponential model

Baringhaus, Ludwig ; Gaigall, Daniel (2022)

In: Journal of Multivariate Analysis. Amsterdam : Elsevier. 195 (2022), H. Article 105154.

ISSN:

0047-259X , 1095-7243

Zugriff:

https://doi.org/10.1016/j.jmva.2022.105154

Testing marginal homogeneity in Hilbert spaces with applications to stock market returns

Ditzhaus, Marc ; Gaigall, Daniel (2022)

In: Test. Springer. 2022 (2022), H. 31. Seite: 749 - 770

ISSN:

1863-8260

Zugriff:

https://doi.org/10.1007/s11749-022-00802-5

Empirical process of concomitants for partly categorial data and applications in statistics

Gaigall, Daniel ; Gerstenberg, Julian ; Trinh, Thi Thu Ha (2022)

In: Bernoulli. Den Haag, NL : International Statistical Institute. 28 (2022), H. 2. Seite: 803 - 829

ISSN:

1573-9759

Zugriff:

https://doi.org/10.3150/21-BEJ1367

Test for Changes in the Modeled Solvency Capital Requirement of an Internal Risk Model

Gaigall, Daniel (2021)

In: ASTIN Bulletin. Cambridge : Cambridge Univ. Press. 51 (2021), H. 3. Seite: 813 - 837

ISSN:

1783-1350

Zugriff:

https://doi.org/10.1017/asb.2021.20

Hoeffding-Blum-Kiefer-Rosenblatt independence test statistic on partly not identically distributed data

Gaigall, Daniel (2020)

In: Communications in Statistics - Theory and Methods. London : Taylor & Francis. 51 (2020), H. 12. Seite: 4006 - 4028

ISSN:

1532-415X

Zugriff:

https://doi.org/10.1080/03610926.2020.1805767

Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data

Gaigall, Daniel (2020)

In: Metrika. Springer. 2020 (2020), H. 83. Seite: 437 - 465

ISSN:

1435-926X

Zugriff:

https://doi.org/10.1007/s00184-019-00742-5

Rothman–Woodroofe symmetry test statistic revisited

Gaigall, Daniel (2020)

In: Computational Statistics & Data Analysis. Amsterdam : Elsevier. 2020 (2020), H. 142. Seite: Artikel 106837

ISSN:

0167-9473

Zugriff:

https://doi.org/10.1016/j.csda.2019.106837

On an asymptotic relative efficiency concept based on expected volumes of confidence regions

Baringhaus, Ludwig ; Gaigall, Daniel (2019)

In: Statistics - A Journal of Theoretical and Applied Statistic. London : Taylor & Francis. 53 (2019), H. 6. Seite: 1396 - 1436

ISSN:

1029-4910

Zugriff:

https://doi.org/10.1080/02331888.2019.1683560

On a new approach to the multi-sample goodness-of-fit problem

Gaigall, Daniel (2019)

In: Communications in Statistics - Simulation and Computation. London : Taylor & Francis. 53 (2019), H. 10. Seite: 2971 - 2989

ISSN:

1532-4141

Zugriff:

https://doi.org/10.1080/03610918.2019.1618472

Efficiency comparison of the Wilcoxon tests in paired and independent survey samples

Baringhaus, Ludwig ; Gaigall, Daniel (2018)

In: Metrika. Berlin : Springer. 2018 (2018), H. 81. Seite: 891 - 930

ISSN:

1435-926X

Zugriff:

https://doi.org/10.1007/s00184-018-0661-4

A consistent goodness-of-fit test for huge dimensional and functional data

Ditzhaus, Marc ; Gaigall, Daniel (2018)

In: Journal of Nonparametric Statistics. Abingdon : Taylor & Francis. 30 (2018), H. 4. Seite: 834 - 859

ISSN:

1029-0311

Zugriff:

https://doi.org/10.1080/10485252.2018.1486402

Statistical inference for L²-distances to uniformity

Baringhaus, Ludwig ; Gaigall, Daniel ; Thiele, Jan Philipp (2018)

In: Computational Statistics. Berlin : Springer. 2018 (2018), H. 33. Seite: 1863 - 1896

ISSN:

1613-9658

Zugriff:

https://doi.org/10.1007/s00180-018-0820-0

On Hotelling’s T² test in a special paired sample case

Baringhaus, Ludwig ; Gaigall, Daniel (2017)

In: Communications in Statistics - Theory and Methods. London : Taylor & Francis. 48 (2017), H. 2. Seite: 257 - 267

ISSN:

1532-415X

Zugriff:

https://doi.org/10.1080/03610926.2017.1408828

Hotelling’s T² tests in paired and independent survey samples: An efficiency comparison

Baringhaus, Ludwig ; Gaigall, Daniel (2017)

In: Journal of Multivariate Analysis. Amsterdam : Elsevier. 2017 (2017), H. 154. Seite: 177 - 198

ISSN:

0047-259X

Zugriff:

https://doi.org/10.1016/j.jmva.2016.11.004

On an independence test approach to the goodness-of-fit problem

Baringhaus, Ludwig ; Gaigall, Daniel (2015)

In: Journal of Multivariate Analysis. Amsterdam : Elsevier. 2015 (2015), H. 140. Seite: 193 - 208

ISSN:

0047-259X

Zugriff:

https://doi.org/10.1016/j.jmva.2015.05.013

Konferenzschriften

On Consistent Hypothesis Testing In General Hilbert Spaces

Gaigall, Daniel (2022)

In: Orléans, Kanada : Avestia Publishing 2022. Seite: Paper No. 157

Bemerkung:

Proceedings of the 4th International Conference on Statistics: Theory and Applications (ICSTA’22) Prague, Czech Republic – July 28- 30

Zugriff:

http://dx.doi.org/10.11159/icsta22.157