@book{DiktaScheer2021, author = {Dikta, Gerhard and Scheer, Marsel}, title = {Bootstrap Methods: With Applications in R}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-73480-0}, doi = {10.1007/978-3-030-73480-0}, pages = {XVI, 256 Seiten}, year = {2021}, abstract = {This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.}, language = {en} } @article{HeelDiktaBraekers2021, author = {Heel, Mareike van and Dikta, Gerhard and Braekers, Roel}, title = {Bootstrap based goodness‑of‑fit tests for binary multivariate regression models}, series = {Journal of the Korean Statistical Society}, volume = {51}, journal = {Journal of the Korean Statistical Society}, publisher = {Springer Nature}, address = {Singapur}, issn = {2005-2863 (Online)}, doi = {10.1007/s42952-021-00142-4}, pages = {28 Seiten}, year = {2021}, abstract = {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.}, language = {en} } @article{DiktaKvesicSchmidt2006, author = {Dikta, Gerhard and Kvesic, Marsel and Schmidt, Christian}, title = {Bootstrap Approximations in Model Checks for Binary Data}, series = {Journal of the American Statistical Association. 101 (2006), H. 474}, journal = {Journal of the American Statistical Association. 101 (2006), H. 474}, isbn = {0162-1459}, pages = {521 -- 530}, year = {2006}, language = {en} } @article{DiktaGhorai1990, author = {Dikta, Gerhard and Ghorai, J. K.}, title = {Bootstrap Approximation with Censored Data under the Proportional Hazard Model}, series = {Communications in Statistics: Theory and Methods. 19 (1990), H. 2}, journal = {Communications in Statistics: Theory and Methods. 19 (1990), H. 2}, isbn = {0361-0926}, pages = {573 -- 581}, year = {1990}, language = {en} } @article{Dikta1990, author = {Dikta, Gerhard}, title = {Bootstrap Approximation of Nearest Neighbor Regression Function Estimates}, series = {Journal of Multivariate Analysis. 32 (1990), H. 2}, journal = {Journal of Multivariate Analysis. 32 (1990), H. 2}, isbn = {0047-259X}, pages = {213 -- 229}, year = {1990}, language = {en} } @article{DigelMaggakisKelemenZerlinetal.2006, author = {Digel, Ilya and Maggakis-Kelemen, Christina and Zerlin, Kay and Linder, Peter}, title = {Body temperature-related structural transitions of monotremal and human hemoglobin}, series = {Biophysical Journal. 91 (2006), H. 8}, journal = {Biophysical Journal. 91 (2006), H. 8}, isbn = {1542-0086}, pages = {3014 -- 3021}, year = {2006}, language = {en} } @article{MuellerVeggianGonoLieder1977, author = {M{\"u}ller-Veggian, Mattea and Gono, Y. and Lieder, R. M.}, title = {Blocking-effect in the transitional nuclei ¹⁸⁹,¹⁹¹,¹⁹³ Au}, series = {Annual report 1976 / Institut f{\"u}r Kernphysik Kernforschungsanlage J{\"u}lich / Ed. board: A. F{\"a}ßler ...}, journal = {Annual report 1976 / Institut f{\"u}r Kernphysik Kernforschungsanlage J{\"u}lich / Ed. board: A. F{\"a}ßler ...}, publisher = {Kernforschungsanlage}, address = {J{\"u}lich}, pages = {33}, year = {1977}, language = {en} } @article{MuellerVeggianGonoLieder1976, author = {M{\"u}ller-Veggian, Mattea and Gono, Y. and Lieder, R. M.}, title = {Blocking effect in the transitional nuclei ¹⁸⁹,¹⁹¹,¹⁹³ Au}, series = {Physical review letters}, volume = {37}, journal = {Physical review letters}, number = {17}, publisher = {American Physical Society}, address = {Ridge, NY}, isbn = {1079-7114}, doi = {10.1103/PhysRevLett.37.1123}, pages = {1123 -- 1125}, year = {1976}, language = {en} } @incollection{OsterhageBialonskiStanieketal.2008, author = {Osterhage, Hannes and Bialonski, Stephan and Staniek, Matth{\"a}us and Schindler, Kaspar and Wagner, Tobias and Elger, Christian E. and Lehnertz, Klaus}, title = {Bivariate and multivariate time series analysis techniques and their potential impact for seizure prediction}, series = {Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications}, booktitle = {Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications}, publisher = {Wiley-VCH}, address = {Weinheim}, isbn = {978-3-527-62519-2}, doi = {10.1002/9783527625192.ch15}, pages = {189 -- 208}, year = {2008}, language = {en} } @article{AkimbekovDigelTastambeketal.2022, author = {Akimbekov, Nuraly S. and Digel, Ilya and Tastambek, Kuanysh T. and Marat, Adel K. and Turaliyeva, Moldir A. and Kaiyrmanova, Gulzhan K.}, title = {Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production}, series = {Biology}, volume = {11}, journal = {Biology}, number = {9}, publisher = {MDPI}, address = {Basel}, issn = {2079-7737}, doi = {10.3390/biology11091306}, pages = {47 Seiten}, year = {2022}, abstract = {It was generally believed that coal sources are not favorable as live-in habitats for microorganisms due to their recalcitrant chemical nature and negligible decomposition. However, accumulating evidence has revealed the presence of diverse microbial groups in coal environments and their significant metabolic role in coal biogeochemical dynamics and ecosystem functioning. The high oxygen content, organic fractions, and lignin-like structures of lower-rank coals may provide effective means for microbial attack, still representing a greatly unexplored frontier in microbiology. Coal degradation/conversion technology by native bacterial and fungal species has great potential in agricultural development, chemical industry production, and environmental rehabilitation. Furthermore, native microalgal species can offer a sustainable energy source and an excellent bioremediation strategy applicable to coal spill/seam waters. Additionally, the measures of the fate of the microbial community would serve as an indicator of restoration progress on post-coal-mining sites. This review puts forward a comprehensive vision of coal biodegradation and bioprocessing by microorganisms native to coal environments for determining their biotechnological potential and possible applications.}, language = {en} }