Source: http://www.helmut-finner.de/weblit1.html
Timestamp: 2019-04-23 06:41:58+00:00

Document:
Finner, H. & Gontscharuk, V. (2018).
in terms of local levels.
The Annals of Statistics 46, 3014-3037 (pdf).
Proofs and computation of global levels (pdf).
Animated graphics of local levels (pdf).
Lynch, G., Guo W., Sarkar, S.K. & Finner, H. (2017).
The control of the false discovery rate in fixed sequence multiple testing.
Electronic Journal of Statistics 11(2), 4649–4673.
Gontscharuk, V. & Finner, H. (2018).
On the asymptotics of a normal beta-transformed empirical process.
Journal of Statistical Planning and Inference 193, 103-108.
Finner, H., Roters, M. & Strassburger, K. (2017).
On the Simes test under dependence.
Gontscharuk, V. & Finner, H. (2017).
Asymptotics of goodness-of-fit tests based on minimum p-value statistics.
Communications in Statistics – Theory and Methods 46, 2332-2342.
Gontscharuk, V., Landwehr, S. & Finner, H. (2016).
Goodness of fit tests in terms of local levels with special emphasis on higher criticism tests.
Dickhaus, T. & Finner, H. (2016). Asymptotic density crossing points of self-normalized sums and normal.
and Computational Geometry (Eds.: Chen, K., Ravindran, A.).
Springer Proceedings in Mathematics & Statistics 124, 199-210.
Klüppelholz, B., Giani, G., Al-Hasani, H. & Michael Roden, M. for the German Diabetes Study Group (2016).
Specific metabolic profiles and their relationship to insulin resistance in recent-onset type 1 and type 2 diabetes.
The Journal of Clinical Endocrinology & Metabolism 101(5), 2130–2140.
Finner,H., Kern, P. & Scheer, M. (2015).
On some compound distributions with Borel summands.
Insurance: Mathematics and Economics 62, 234–244.
Gontscharuk, V., Landwehr, S. & Finner, H. (2015).
The intermediates take it all: Asymptotics of higher criticism statistics and a powerful alternative based on equal local levels.
Finner, H. & Gontscharuk, V. (2013).
Asymptotic FDR control under weak dependence: A counterexample.
Statistics and Probability Letters 83(8), 1888–1893.
Sarkar S.K., Guo W. & Finner H. (2012).
On adaptive procedures controlling the familywise error rate.
Journal of Statistical Planning and Inference 142, 65-78.
Finner, H., Gontscharuk, V. & Dickhaus, T. (2012).
False discovery rate control of step-up-down tests with special emphasis on the asymptotically optimal rejections curve.
Scandinavian Journal of Statistics 39, 382-397.
Finner, H. & Dickhaus, T. (2010).
Edgeworth expansions and rates of convergence for normalized sums: Chung's 1946 method revisited.
Statistics and Probability Letters 80(23-24), 1875-1880.
Finner, H., Strassburger, K. Heid, I. M., Herder, C., Rathmann, W., Giani, G., Dickhaus, T., Lichtner, P., Meitinger, T., Wichmann, H.-E., Illig, T. & Gieger, C. (2010).
How to link call rate and p-values for Hardy–Weinberg equilibrium as measures of genome-wide SNP data quality.
Finner, H. & Gontscharuk, V. (2009).
Controlling the familywise error rate with plug-in estimator for the proportion of true null hypotheses.
Journal of the Royal Statistical Society B 71(5), 1031–1048.
Finner, H., Dickhaus, T. & Roters, M. (2009).
On the false discovery rate and an asymptotically optimal rejection curve.
The Annals of Statistics 37, 596–618 (pdf).
Finner, H. & Straßburger, K. (2008).
Non-realized randomized P-values can be more conservative than derandomized P-values.
Authors’ Reply to Berger (2008).
Finner, H., Dickhaus, T. & Roters, M. (2008).
Asymptotic tail properties of Student’s t-distribution.
Communications in Statistics – Theory and Methods 37(2), 175-179.
Martin, S., Giani,G., Scherbaum, W. A., Wichmann, H.-E., Illig, T. (2008).
type 2 diabetes independently of BMI in the german KORA studies.
Hormone and Metabolic Research 40, 722-726. DOI: 10.1055/s-2008-1078730.
Finner, H., Dickhaus, T. & Roters, M. (2007).
Dependency and false discovery rate: Asymptotics.
Finner, H., Roters, M. & Dickhaus, T. (2007).
The American Statistician 61, 28 - 33.
Extended online version available (pdf).
Finner, H. & Strassburger, K. (2007).
Step-up related simultaneous confidence intervals for MCC and MCB.
Strassburger, K., Bretz, F. & Finner, H. (2007).
Ordered multiple comparisons with the best and their applications in dose-response studies.
Supplementary Web Material (refereed and copyrighted).
Finner, H. & Strassburger, K. (2006).
On delta-equivalence with the best in k-sample models.
Journal of the American Statistical Association 101, 737-746.
Finner, H., Giani, G. & Strassburger, K. (2006).
Partitioning principle and selection of good populations.
Journal of Statistical Planning and Inference 136, 2053-2069.
Sarkar, S. K., Sen, P. & Finner, H. (2004).
Improving two results in multiple testing.
In: Recent Developments in Multiple Comparisons Procedures. (Eds.: Benjamini, Y., Bretz, F., Sarkar, S.).
IMS Lecture Notes-Monograph Series 47, 89-99.
Finner, H. & Roters, M. (2002).
Multiple hypotheses testing and expected type I errors.
The Annals of Statistics 30, 220-238.
Finner, H. & Strassburger, K. (2002).
The partitioning principle: A powerful tool in multiple decision theory.
The Annals of Statistics 30, 1194 -1213.
Structural properties of UMPU-tests for 2x2-tables and some applications.
Journal of Statistical Planning and Inference 104, 103-120.
Finner, H. & Giani, G. (2001).
Least favorable parameter configurations for a step-down subset selection procedure.
Finner, H. & Roters, M. (2001).
On the false discovery rate and expected type I errors.
Asymptotic sharpness of product-type inequalities for maxima of random variables with applications in multiple comparisons.
Journal of Statistical Planning and Inference 98, 39-56.
On a matrix representation lemma useful in determining maximal invariance groups.
Journal of Multivariate Analysis 76, 153-157.
Finner, H. & Strassburger, K. (2001).
UMP(U)-tests for a binomial parameter: A paradox.
Finner, H. & Roters, M. (2000).
On the critical value behaviour of multiple decision procedures.
Scandinavian Journal of Statistics 27, 563-573.
Stepwise multiple test procedures and control of directional errors.
The Annals of Statistics 27, 274-289.
Finner, H. & Roters, M. (1999).
Asymptotic comparison of the critical values of step-down and step-up multiple comparison procedures.
Journal of Statistical Planning and Inference 79, 11-30.
Finner, H. & Roters, M. (1998).
The Annals of Statistics 26, 505-524.
Finner, H. & Roters, M. (1997).
Log-concavity and inequalities for Chi-square, F and Beta distributions with applications in multiple comparisons.
Finner, H. & Giani, G. (1996).
Duality between multiple testing and selecting.
Journal of Statistical Planning and Inference 54, 201-227.
Two-sided tests and one-sided confidence bounds.
The Annals of Statistics 22, 1502-1516.
Finner, H. & Roters, M. (1994).
On the limit behaviour of the joint distribution function of order statistics.
The Annals of the Institute of Statistical Mathematics 46, 343-349.
Finner, H. & Giani, G. (1994).
Closed subset selection procedures for selecting good populations.
Journal of Statistical Planning and Inference 38, 179-200.
On a monotonicity problem in step down multiple test procedures.
Journal of the American Statistical Association 88, 920-923.
Finner, H. & Roters, M. (1993).
Power considerations and LFC-results with respect to $Phi_t$-restrictions in k-variate location models.
Statistics & Decisions 11, 151-166.
On the behaviour of expectations and power functions in one-parameter exponential families.
Statistics & Decisions 11, 237-249.
Communications in Statistics - Theory and Methods 22(8), 2381-2396.
A generalization of Hölder's inequality and some probability inequalities.
The Annals of Probability 20, 1893-1901.
Giani, G. & Finner, H. (1991).
Some general results on least favourable parameter configurations with special reference to equivalence testing and the range statistic.
Journal of Statistical Planning and Inference 28, 33-47.
Some new inequalities for the range distribution; with application to the determination of optimum significance levels of multiple range tests.
Journal of the American Statistical Association 85, 191-194.
On the modified S-method and directional errors.
Communications in Statistics - Theory and Methods 19, 41-53.
Finner, H., Kunert, J. & Sonnemann, E. (1989).
(On the calculation of the effectiveness of an insecticide).
Nachrichtenblatt Deutscher Pflanzenschutzdienst 41, 145-149.
In: Bauer, P. et al. (Eds.): Multiple Hypothesenprüfung.
Multiple Tests und Fehler III. Art.
Sonnemann, E. & Finner, H. (1988).
Optimale Versuchsplanung in Blockmodellen mit einem Störfaktor.
Diplomarbeit, RWTH Aachen. Gutachter: Prof. O. Krafft.
Dissertation. Universität Trier, FB IV Mathematik.
Gutachter: Prof. E. Sonnemann, Prof. H. Riedwyl.
and Relationships to Other Multiple Decision Procedures.
Gutachter: Prof. S. Holm, Prof. W. Sendler, Prof. E. Sonnemann.
Sonnemann, E. (2008). General Solutions to Multiple Testing Problems.
“Sonnemann, E. (1982). Allgemeine Lösungen multipler Testprobleme.
EDV in Medizin und Biologie 13(4), 120–128”. Translated by Helmut Finner.
Preface to the Translation of Eckart Sonnemann's 1982 Paper on General Solutions to Multiple Testing Problems.
Eulogy to Eckart Sonnemann (1940-2007).
Finner, H., Roters, M. & Dickhaus, T. (2006).
"Finner, H., Roters, M. & Dickhaus, T. (2007). Characterizing density crossing points. The American Statistician 61, 28 - 33."
Available at www.helmut-finner.de/ Density Crossing Points.pdf.
Finner, H. & Roters, M. (1995).
with applications in multiple comparisons.
Universität Trier, FB IV Mathematik.
Finner, H., Hayter, A.J. & Roters, M. (1993).
On the joint distribution of order statistics with reference to step-up multiple test procedures.
Roters, M. & Finner, H. (1993).
Finner, H. & Roters, M. (1992).
LFC-results for tests in k-variate location models.
held at the University of Trier at September 9-11, 1991.
Giani, G. & Finner, H. (1990).
in der Medizin; Aachen, September 1989; Proceedings/G. Giani; R. Repges (Eds.).
Finner, H., Giani, G. & Dickhaus, T. (2005).
Neue multiple Verfahren zur Kontrolle der “False Discovery Rate”.
Giani, G. , Finner, H., Rathmann, W. & Rosenbauer, J. (2004).
Epidemiologie und Public Health des Diabetes mellitus in Deutschland: Forschung am Institut für Biometrie und Epidemiologie des Deutschen Diabetes-Zentrums.
In: Jahrbuch der Heinrich-Heine-Universität Düsseldorf 2004.
Finner, H., Giani, G. & Strassburger, K. (2003).
Abschlussbericht des gleichnamigen DFG-Forschungsvorhabens (Nov. 1998 - März. 2003).
Finner, H., Giani, G. & Strassburger, K. (1999).
Partitionsverfahren bei Many-One-Vergleichen zur Planung und Auswertung medizinischer Studien.
Abschlussbericht des gleichnamigen DFG-Forschungsvorhabens (Nov. 1997 - Nov. 1998).
Sonnemann, E., Finner, H. & Kunert, J. (1991).
Untersuchungen zur optimalen Stichprobengrösse bei Versuchen zur Wirksamkeit von Pflanzenschutzmitteln gegen Rebenperonospora,Oidium, Roten Brenner und Traubenbotrytis.
Institut für Pflanzenschutz im Weinbau der Biologischen Bundesanstalt in Bernkastel-Kues.
Sonnemann, E., Finner, H. & Kunert, J. (1987).
Überprüfung von Pflanzenschutzmitteln im Weinbau.
Sonnemann, E., Finner, H., Kunert, J., Jennen-Steinmetz, Ch. & Gasser, Th. (1986).
Erweiterte ausgearbeitete Kursunterlagen. Universität Trier.
Giani, G., Strassburger, K., Finner, H. & Seefeldt, F.
SEPARATE : SElecting, PARtitioning And TEsting -- A Program Package for Multiple Comparisons.

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