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TW.bib
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TW.bib
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@article{Quenouille1949,
author = {{Quenouille, M. H.}},
title = {Approximate Tests of Correlation in Time-Series},
journal = {Journal of the Royal Statistical Society B},
series={Methodological},
volume = {11},
number = {1},
pages = {68--84},
doi = {10.1111/j.2517-6161.1949.tb00023.x},
url = {https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.2517-6161.1949.tb00023.x},
year = {1949}
}
@article{Efron1979,
author = {{Efron, B.}},
title = {{Bootstrap Methods: Another Look at the Jackknife}},
volume = {7},
journal = {The Annals of Statistics},
number = {1},
publisher = {Institute of Mathematical Statistics},
pages = {1--26},
year = {1979},
doi = {10.1214/aos/1176344552},
URL = {https://doi.org/10.1214/aos/1176344552}
}
@article{Efron1981,
author = {{Efron, B.}},
title = {Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods},
journal = {Biometrika},
volume = {68},
number = {3},
pages = {589--599},
year = {1981},
month = {12},
abstract = {We discuss several nonparametric methods for attaching a standard error to a point estimate: the jackknife, the bootstrap, half-sampling, subsampling, balanced repeated replications, the infinitesimal jackknife, influence function techniques and the delta method. The last three methods are shown to be identical. All the methods derive from the same basic idea, which is also the idea underlying the common parametric methods. Extended numerical comparisons are made for the special case of the correlation coefficient.},
issn = {0006-3444},
doi = {10.1093/biomet/68.3.589},
url = {https://doi.org/10.1093/biomet/68.3.589}
}
@book{Efron1982,
author = {{Efron, B.}},
title = {The Jackknife, the Bootstrap and Other Resampling Plans},
publisher = {{SIAM, Society for Industrial and Applied Mathematics}},
year = {1982},
doi = {10.1137/1.9781611970319},
address = {Philadelphia},
series = {CBMS-NSF Regional Conference Series in Applied Mathematics, Monograph 38},
URL = {https://epubs.siam.org/doi/abs/10.1137/1.9781611970319}
}
@article{Metropolis1949,
author = {{Metropolis, N., & Ulam, S.}},
title = {The Monte Carlo Method},
journal = {Journal of the American Statistical Association},
volume = {44},
number = {247},
pages = {335--341},
year = {1949},
publisher = {Taylor & Francis},
doi = {10.1080/01621459.1949.10483310},
note ={PMID: 18139350},
URL={https://www.tandfonline.com/doi/abs/10.1080/01621459.1949.10483310},
abstract = {Abstract We shall present here the motivation and a general description of a method dealing with a class of problems in mathematical physics. The method is, essentially, a statistical approach to the study of differential equations, or more generally, of integro-differential equations that occur in various branches of the natural sciences.}
}
@article{Fisher1926,
author={{Fisher, R. A.}},
year={1926},
title={The arrangement of field experiments},
journal={Journal of the Ministry of Agriculture},
volume={33},
pages={503--515},
abstract={Author's note. From about 1923 onwards the Statistical Department at Rothamsted had been much concerned with the precision of field experiments in agriculture, and with modifications in their design, having the dual aim of increasing the precision and of providing a valid estimate of error. These two desiderata had been somewhat confused in the minds of the experimenters, and the present paper was the author's first attempt at setting out the rational principles on which he might proceed. The paper is a precursor to the book on the Design of Experiments published nine years later.},
issn={0368-3087},
url={https://doi.org/10.23637/rothamsted.8v61q}
}
@book{Fisher1935,
author={{Fisher, R. A.}},
year={1935},
title={The design of experiments},
edition={1},
publisher={Oliver & Boyd},
address={Edinburgh},
abstract={Different types of experimentation are considered with reference to their logical structure, to show that valid conclusions may be drawn from them without using the disputed theory of inductive inferences, i.e., of arguing from observation to explanatory theory. This is possible if a null hypothesis is explicitly formulated when the experiment is designed; this hypothesis can never be proved, but may be disproved with whatever probability one will accept as demonstrating a positive result. Chapters II, III, and IV illustrate simple applications of the principles involved in sensitiveness, significance, tests of wider hypotheses, validity, and estimation and elimination of error. More elaborate structures are treated in later chapters. Chapter titles are: (V) the Latin square; (VI) factorial design in experimentation; (VII) confounding; (VIII) special cases of partial confounding; (IX) increase of precision by concomitant measurements: statistical control; (X) generalization of null hypotheses: fiducial probability; (XI) measurement of amount of information in general.},
url={https://psycnet.apa.org/record/1939-04964-000}
}
@book{Fisher1966,
author={{Fisher, R. A.}},
year={1966},
title={The design of experiments},
edition={8},
publisher={Hafner},
address={Edinburgh},
abstract={Are scientific disciplines really different? This question often crystallizes into the old debate: Are Physics and Biology different? If Physics and Biology worked on highly different entities (objects), or if they had highly different methods, it would be straightforward to close the debate by a negative answer. However, if we cannot identify any differences, we should explore more deeply the status of the laws found in Physics and questioned in Biology. By slightly modifying the definition of what is a law, I argue here that both disciplines possess some laws exhibiting various “degrees of confirmation”. I finally propose explanations for why P and B give the illusion differing radically, although they both belong to the same continuum of a unified scientific domain.},
url={https://scirp.org/reference/referencespapers.aspx?referenceid=895747}
}
@book{Fisher1971,
author={{Fisher, R. A.}},
year={1971},
title={The design of experiments},
edition={9},
publisher={Hafner Press},
address={New York},
abstract={The Ninth Edition, 1971, is the same as the eighth, except for additions and clarifications (mostly in Chapter X), introduced from notes written for this purpose by Sir Ronald Fisher some time before his death.},
url={https://home.iitk.ac.in/~shalab/anova/DOE-RAF.pdf}
}
@article{Pitman1937a,
ISSN = {14666162},
URL = {http://www.jstor.org/stable/2984124},
author = {{Pitman, E. J. G.}},
journal = {Supplement to the Journal of the Royal Statistical Society},
number = {1},
pages = {119--130},
publisher = {[Wiley, Royal Statistical Society]},
title = {Significance Tests Which May be Applied to Samples From any Populations},
volume = {4},
year = {1937}
}
@article{Pitman1937b,
ISSN = {14666162},
URL = {http://www.jstor.org/stable/2983647},
author = {{Pitman, E. J. G.}},
journal = {Supplement to the Journal of the Royal Statistical Society},
number = {2},
pages = {225--232},
publisher = {[Wiley, Royal Statistical Society]},
title = {Significance Tests Which May be Applied to Samples from any Populations. II. The Correlation Coefficient Test},
volume = {4},
year = {1937}
}
@article{Pitman1938,
ISSN = {00063444},
URL = {http://www.jstor.org/stable/2332008},
author = {{Pitman, E. J. G.}},
journal = {Biometrika},
number = {3/4},
pages = {322--335},
publisher = {[Oxford University Press, Biometrika Trust]},
title = {Significance Tests which May be Applied to Samples from any Populations: III. The Analysis of Variance Test},
volume = {29},
year = {1938}
}
@book{Good2006,
author={{Good, P.}},
year={2006},
title={Resampling Methods},
edition={3},
publisher={{Birkhäuser}},
address={Basel},
abstract={This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.},
isbn={978-0817643867}, url={https://www.amazon.com/Resampling-Methods-Practical-Guide-Analysis/dp/0817643869}
}
@book{Edgington2007,
author={{Edgington, E. S., & Onghena, P.}},
year={2007},
title={Randomization Tests},
edition={4},
publisher={{Chapman and Hall/CRC}},
address={New York},
abstract={},
isbn={9780367577711},
url={https://doi.org/10.1201/9781420011814}
}
@incollection{Beasley2009,
author={{Beasley, W. H., & Rodgers, J. L.}},
year={2009},
title={Resampling methods},
editor={{Millsap, R. E., & Maydeu-Olivares, A.}},
booktitle={The Sage handbook of quantitative methods in psychology},
publisher={{Sage Publications Ltd.}},
address={Thousand Oaks, California},
pages={362--386},
url={https://psycnet.apa.org/doi/10.4135/9780857020994.n16}
}
@mastersthesis{SchrausserThesis,
author = {{Schrausser, D. G.}},
year = {1996},
month = {07},
language = {de},
title = {{Permutationstests: Theoretische und praktische Arbeitsweise von Permutationsverfahren beim unverbundenen 2 Stichprobenproblem}},
type = {Mag.rer.nat.},
school = {Naturwissenschaftliche Fakultät},
address = {Universität Graz},
doi = {10.13140/RG.2.2.24500.32640/1},
url = {https://zenodo.org/records/11529663}
}
@software{Schrausser7664141,
author ={{Schrausser, D. G.}},
title = {{Schrausser/ConsoleApp\_DistributionFunctions:
Console applicationes for distribution functions}},
month = dec,
year = 2024,
publisher = {Zenodo},
version = {v1.5.0},
doi = {10.5281/zenodo.7664141},
url = {https://doi.org/10.5281/zenodo.7664141}
}
@misc{Schrausser81800920,
url = {https://www.academia.edu/81800920},
author = {{Schrausser, D. G.}},
language = {de},
title = {{ThetaWin Overview}},
journal = {Software},
publisher = {Academia},
year = {2009}
}