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Books on the topic 'Test de permutation'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Czaplewski, Raymond L. Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. Fort Collins, Colo. (240 W. Prospect Rd., Fort Collins 80526): U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

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2

Bradbury, Ian Stuart. Permutation tests. Birmingham: University of Birmingham, 1987.

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3

Good, Phillip. Permutation Tests. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3235-1.

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4

Good, Phillip. Permutation Tests. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-2346-5.

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5

SALMASO, LUIGI, and Chiara Brombin. Permutation Tests in Shape Analysis. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8163-8.

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6

Permutation, parametric and bootstrap tests of hypotheses. 3rd ed. New York: Springer, 2005.

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7

Solari, Aldo, Luigi Salmaso, Fortunato Pesarin, and Dario Basso. Permutation Tests for Stochastic Ordering and ANOVA. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-85956-9.

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8

Pesarin, Fortunato. Permutation tests for complex data: Theory, applications, and software. Hoboken, N.J: Wiley, 2010.

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9

Pesarin, Fortunato. Permutation tests for complex data: Theory, applications, and software. Hoboken, N.J: Wiley, 2010.

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10

Good, Phillip I. Permutation tests: A practical guide to resampling methods for testing hypotheses. 3rd ed. New York: Springer, 2005.

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11

Permutation tests: A practical guide to resampling methods for testing hypotheses. New York: Springer-Verlag, 1994.

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12

O'Gorman, Thomas W. Adaptive tests of significance using permutations of residuals with R and SAS. Hoboken, NJ: Wiley, 2012.

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13

O'Gorman, Thomas W. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS®. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118218259.

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14

Czaplewski, R. L. Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. 1993.

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15

Expected value and variance of Moran's bivariate spatial autocorrelation statistic for a permutation test. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1993.

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16

Good, Phillip. Permutation Tests. Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1994.

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17

Brombin, Chiara, and LUIGI SALMASO. Permutation Tests in Shape Analysis. Springer, 2013.

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18

Brombin, Chiara, and LUIGI SALMASO. Permutation Tests in Shape Analysis. Springer, 2013.

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19

Good, Phillip I. I. Permutation, Parametric, and Bootstrap Tests of Hypotheses. Springer, 2010.

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20

Good, Phillip I. Permutation, Parametric, and Bootstrap Tests of Hypotheses. Springer, 2004.

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21

Pesarin, Fortunato. Multivariate Permutation Tests : With Applications in Biostatistics. Wiley, 2001.

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22

Permutation, Parametric and Bootstrap Tests of Hypotheses. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/b138696.

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23

Nonparametric Hypotheses Testing With R Rank Tests And Permutation Tests. John Wiley & Sons Inc, 2014.

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24

Pesarin, Fortunato, and Luigi Salmaso. Permutation Tests for Complex Data: Theory, Applications and Software. Wiley & Sons, Limited, John, 2010.

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25

Pesarin, Fortunato, and Luigi Salmaso. Permutation Tests for Complex Data: Theory, Applications and Software. Wiley & Sons, Incorporated, John, 2010.

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26

Pesarin, Fortunato, Luigi Salmaso, Philip Stark, and Kellie Ottoboni. Permutation Tests for Complex Data: Theory, Applications and Software 2E. Wiley & Sons, Limited, John, 2020.

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27

Dario, Basso, ed. Permutation tests for stochastic ordering and ANOVA: Theory and applications with R. London ; New York: Springer, 2009.

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28

Dario, Basso, ed. Permutation tests for stochastic ordering and ANOVA: Theory and applications with R. London ; New York: Springer, 2009.

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29

Moore, David S., George P. McCabe, William M. Duckworth, and Stanley L. Sclove. The Practice of Business Statistics Companion Chapter 18: Bootstrap Methods and Permutation Tests. W. H. Freeman, 2003.

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30

O'Gorman, Thomas W. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS. Wiley & Sons, Incorporated, John, 2012.

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31

Good, Phillip. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses (Springer Series in Statistics). Springer, 1997.

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32

Good, Phillip. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses (Springer Series in Statistics). 2nd ed. Springer, 2000.

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33

Jeffrey, Waincymer. Part IX Costs, Funding, and Ideas for Optimization, 28 Optimizing the use of Mediation in International Arbitration: A Cost–Benefit Analysis of ‘Two Hat’ Versus ‘Two People’ Models. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198783206.003.0029.

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Abstract:
This chapter considers the question of whether an arbitrator may also adopt a mediation function or whether the dual roles are antithetical. It tests that hypothesis by engaging in a cost-benefit analysis of differing scenarios when mediation is utilized in an arbitral context. The prime comparison is between parallel mediation with a separate neutral and the alternative of a dual-role neutral. The three key points are: there should be much more mediation occurring at the international level, regarding both potential and actual arbitral disputes; a commercially minded arbitrator concerned for the parties’ good faith should encourage mediation where appropriate, in particular, when an adjudicated outcome will not be in the interests of either, usually because the dispute is a small part of a long-term relationship that can risk that relationship no matter who wins; and, while informed party autonomy should always support a dual-role neutral, in most factual permutations, informed parties could be expected to prefer parallel mediation provided there is full cooperation between mediator and arbitrator. The chapter argues that the relative benefits of the use of dual-role neutrals would be greatly outweighed by the costs in fairness and efficiency, and the inevitable need for a sub-optimal design of either or both dispute processes. The benefits would also be separately outweighed by the risks of significant disruption to any ensuing arbitration if a dual-role neutral fails to achieve a settlement.
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