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Titlebook: Comparing Distributions; Olivier Thas Book 2010 Springer-Verlag New York 2010 data analysis.goodness-of-fit tests.graphical methods.nonpar

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樓主: MIFF
11#
發(fā)表于 2025-3-23 13:05:02 | 只看該作者
Jens Lowitzsch,Sophie Dunsch,Iraj Hashiesumes that the null hypothesis specifies some parameterised parametric distribution. On the other hand, most two-sample tests can be based on an asymptotic null distribution that can be derived from a central limit theorem, or from the application of the continuous mapping theorem and the weak conv
12#
發(fā)表于 2025-3-23 17:49:50 | 只看該作者
13#
發(fā)表于 2025-3-23 21:33:16 | 只看該作者
Social Policy and the Politics of Devolutionst statistic and the interplay between the null hypothesis and the distributional assumptions one is willing to make. In Section 9.2 this is illustrated for the two-sample problem in the discussion of the well-known Wilcoxon rank sum test. We study the Wilcoxon test from several points of view. From
14#
發(fā)表于 2025-3-23 22:56:05 | 只看該作者
15#
發(fā)表于 2025-3-24 03:50:20 | 只看該作者
Social Policy and the Politics of Devolutionto be compared. Such tests are generally known as .. The types of tests that are treated in this chapter are often of the same form of the EDF tests for the one-sample problem (Chapter 5). The Kolmogorov–Smirnov test is discussed in Section 11.1, and Section 11.2 concerns tests of the Anderson– Darl
16#
發(fā)表于 2025-3-24 10:24:21 | 只看該作者
Spanish Studies in the Philosophy of Science., as proposed by Rayner and Best (2001). The .of Section 12.2 can be looked at as a combination of the contingency table approach and the tests of the EDF type. Although both type of tests are basically EDF tests, we have chosen to present them in a separate chapter, because the manner in which the
17#
發(fā)表于 2025-3-24 13:18:11 | 只看該作者
18#
發(fā)表于 2025-3-24 16:56:39 | 只看該作者
https://doi.org/10.1057/9781403940216roblem, though its applicability is very broad and often informative. Because many of the techniques and ideas used in this chapter rely heavily on what has been discussed in the previous chapters, this chapter is quite concise. The construction of the test is very similar to the one-sample smooth test of Chapter 4.
19#
發(fā)表于 2025-3-24 19:50:55 | 只看該作者
Smooth Testsre the topic of Section 4.4, and in Section 4.5 we show how smooth tests may be viewed from within a semiparametric framework. Finally, in Section 4.7 we give a brief summary from a practical viewpoint
20#
發(fā)表于 2025-3-25 01:04:24 | 只看該作者
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