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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书目名称Comparing Distributions影响因子(影响力)




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书目名称Comparing Distributions网络公开度




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书目名称Comparing Distributions被引频次




书目名称Comparing Distributions被引频次学科排名




书目名称Comparing Distributions年度引用




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书目名称Comparing Distributions读者反馈




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978-1-4614-2449-9Springer-Verlag New York 2010

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Springer Series in Statisticshttp://image.papertrans.cn/c/image/231026.jpg

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Marine and Commercial Reform, 1713–1720he graphical exploration of the data. In Section 1.2 we give some graphical techniques which may be very useful in assessing the goodness-of-fit. In this section also most of the example datasets are introduced which are further used to illustrate methods in the remainder of the first part of the bo

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Spain’s American Trade, 1708–1713 distribution function (EDF) plays a central role in many GOF techniques. Instead of introducing and discussing the EDF in the section where it is used for the first time, we have chosen to isolate it and put it into this chapter. When in further chapters a method is described which relies heavily o

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Rosina Márquez Reiter,María Elena Placencia context. Although many of the graphs presented in the chapter are well known by most statisticians, we think it is still important to give some further details on those methods, particularly because some of the goodness-of-fit tests are very closely related to some of the graphs presented here. We

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Rosina Márquez Reiter,María Elena Placenciaved some optimality properties. Although smooth tests are considered as nonparametric tests, they are actually constructed by first considering a .-dimensional .in which the hypothesised distribution is embedded. These smooth alternatives are the subject of Section 4.1. The tests are given in Sectio

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https://doi.org/10.1007/978-3-319-03686-1e old tests, as the Kolmogorov-Smirnov test, but also in recent years new tests have still been added to this class. A discussion on the EDF and empirical processes has been given in Sections 2.1 and 2.2. Sections 5.1 and 5.2 are devoted to the Kolmogorov-Smirnov and the Cramér-von Mises type tests,

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Jens Lowitzsch,Sophie Dunsch,Iraj Hashire the distribution of the sample observations with a hypothesised distribution, we are now concerned with comparing the distributions of two or more populations from which we have observations at our disposal. As both classes of problems are about comparing distributions, many of the methods develo