Article
Refine
Year of publication
- 2024 (1)
- 2023 (5)
- 2022 (8)
- 2021 (3)
- 2020 (7)
- 2019 (9)
- 2018 (4)
- 2017 (6)
- 2016 (3)
- 2015 (5)
- 2014 (3)
- 2013 (6)
- 2012 (1)
- 2011 (8)
- 2010 (10)
- 2009 (5)
- 2008 (11)
- 2007 (4)
- 2006 (7)
- 2005 (7)
- 2004 (16)
- 2003 (6)
- 2002 (12)
- 2001 (10)
- 2000 (13)
- 1999 (15)
- 1998 (16)
- 1997 (23)
- 1996 (22)
- 1995 (15)
- 1994 (14)
- 1993 (11)
- 1992 (8)
- 1991 (4)
- 1990 (3)
- 1989 (11)
- 1988 (9)
- 1987 (6)
- 1986 (7)
- 1985 (6)
- 1984 (4)
- 1983 (5)
- 1982 (1)
- 1981 (3)
- 1980 (3)
- 1979 (2)
- 1978 (1)
- 1977 (1)
- 1975 (1)
Institute
- Fachbereich Energietechnik (361) (remove)
Language
- English (361) (remove)
Document Type
- Article (361) (remove)
Keywords
- Earthquake (4)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Antibias (1)
- Artificial intelligence (1)
- Behaviour factor q (1)
- Biogas (1)
- Cardiovascular MRI (1)
- Circular bioeconomy (1)
- Civil engineering (1)
Calibration of the Polytec HC-15 and HC-70 Optical Particle Counters / Fißan, H. J. ; Helsper, C.
(1983)
Evaluation of Particle Size Distributions by Means of Particle Counters / Fißan, H. J. ; Helsper, C.
(1979)
We consider a binary multivariate regression model where the conditional expectation of a binary variable given a higher-dimensional input variable belongs to a parametric family. Based on this, we introduce a model-based bootstrap (MBB) for higher-dimensional input variables. This test can be used to check whether a sequence of independent and identically distributed observations belongs to such a parametric family. The approach is based on the empirical residual process introduced by Stute (Ann Statist 25:613–641, 1997). In contrast to Stute and Zhu’s approach (2002) Stute & Zhu (Scandinavian J Statist 29:535–545, 2002), a transformation is not required. Thus, any problems associated with non-parametric regression estimation are avoided. As a result, the MBB method is much easier for users to implement. To illustrate the power of the MBB based tests, a small simulation study is performed. Compared to the approach of Stute & Zhu (Scandinavian J Statist 29:535–545, 2002), the simulations indicate a slightly improved power of the MBB based method. Finally, both methods are applied to a real data set.