作者: 青春期 時(shí)間: 2025-3-21 21:15 作者: GREG 時(shí)間: 2025-3-22 00:56
978-1-4614-2449-9Springer-Verlag New York 2010作者: 皮薩 時(shí)間: 2025-3-22 06:41
Springer Series in Statisticshttp://image.papertrans.cn/c/image/231026.jpg作者: 歡騰 時(shí)間: 2025-3-22 11:40
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作者: resuscitation 時(shí)間: 2025-3-22 13:57
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作者: resuscitation 時(shí)間: 2025-3-22 18:22
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 作者: Feedback 時(shí)間: 2025-3-22 22:27
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作者: Yourself 時(shí)間: 2025-3-23 02:36
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,作者: Angiogenesis 時(shí)間: 2025-3-23 05:35
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作者: 嘲弄 時(shí)間: 2025-3-23 13:05
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作者: 種類 時(shí)間: 2025-3-23 17:49 作者: Clinch 時(shí)間: 2025-3-23 21:33
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作者: ungainly 時(shí)間: 2025-3-23 22:56 作者: 百靈鳥 時(shí)間: 2025-3-24 03:50
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作者: 確定方向 時(shí)間: 2025-3-24 10:24
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作者: 改正 時(shí)間: 2025-3-24 13:18 作者: Desert 時(shí)間: 2025-3-24 16:56
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.作者: GRE 時(shí)間: 2025-3-24 19:50
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作者: achlorhydria 時(shí)間: 2025-3-25 01:04 作者: LUMEN 時(shí)間: 2025-3-25 03:52 作者: 無思維能力 時(shí)間: 2025-3-25 09:20
Book 2010istician who is involved in comparative studies....The book gives a self-contained theoretical treatment of a wide range of goodness-of-fit methods, including graphical methods, hypothesis tests, model selection and density estimation. It relies on parametric, semiparametric and nonparametric theory作者: 小卒 時(shí)間: 2025-3-25 13:55 作者: 傾聽 時(shí)間: 2025-3-25 19:45 作者: 檔案 時(shí)間: 2025-3-25 20:45 作者: nuclear-tests 時(shí)間: 2025-3-26 03:58
Smooth Testsved 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作者: 聽覺 時(shí)間: 2025-3-26 07:18
Methods Based on the Empirical Distribution Functione 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,作者: Virtues 時(shí)間: 2025-3-26 09:52
Introductionre 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作者: 正常 時(shí)間: 2025-3-26 16:10
Preliminaries (Building Blocks)esumes 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作者: dilute 時(shí)間: 2025-3-26 17:58 作者: 大罵 時(shí)間: 2025-3-26 22:13 作者: 炸壞 時(shí)間: 2025-3-27 02:15
Smooth Testsroblem, 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 t作者: 太空 時(shí)間: 2025-3-27 06:35
Methods Based on the Empirical Distribution Functionto 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作者: ADORE 時(shí)間: 2025-3-27 13:03 作者: Proponent 時(shí)間: 2025-3-27 17:20
https://doi.org/10.1007/978-3-319-03686-1 respectively. In Section 5.3 we generate the class of EDF tests so that also more recent tests based on the empirical quantile function or the empirical characteristic function fit into the framework. We show that many of these tests are closely related to the class of smooth tests. Practical guidelines are provided in Section 5.6.作者: AND 時(shí)間: 2025-3-27 18:12 作者: 暫停,間歇 時(shí)間: 2025-3-27 22:22 作者: 統(tǒng)治人類 時(shí)間: 2025-3-28 03:37
Spain’s American Trade, 1708–1713Hilbert spaces, parameter estimation, and nonparametric density estimation. Some of the topics are quite technical, but we have tried to focus on the rationale and intuition behind them, rather than providing all the technical details作者: Occipital-Lobe 時(shí)間: 2025-3-28 10:08
Rosina Márquez Reiter,María Elena Placenciaility plots (PP and QQ) and comparison distributions are the topics of Sections 3.2 and 3.3, respectively. Both types of plots are related to very important goodness-of-fit tests, and we therefore spend quite some space on these methods作者: EXALT 時(shí)間: 2025-3-28 13:32 作者: Statins 時(shí)間: 2025-3-28 17:12
Introduction still often applied. It also often serves as a cornerstone in the construction of other goodness-offit tests. We give an overview of the most important issues in applying the Pearson test in Section 1.3. Moreover, many of the more recent methods still rely on the intuition of this test.作者: 簡略 時(shí)間: 2025-3-28 19:37 作者: Regurgitation 時(shí)間: 2025-3-28 23:40
Graphical Toolsility plots (PP and QQ) and comparison distributions are the topics of Sections 3.2 and 3.3, respectively. Both types of plots are related to very important goodness-of-fit tests, and we therefore spend quite some space on these methods作者: infinite 時(shí)間: 2025-3-29 04:22 作者: 耕種 時(shí)間: 2025-3-29 09:46 作者: Neutropenia 時(shí)間: 2025-3-29 12:38
Social Policy and the Politics of DevolutionSection 9.3, in which we again consider the Wilcoxon test as an example. The same reasoning is applied in Section 9.5, where we discuss some of the nonparametric tests for detecting differences in scale. Section 9.6 focusses on the Kruskal–Wallis test for the .-sample problem, and we conclude this chapter with an introduction to adaptive tests.作者: conquer 時(shí)間: 2025-3-29 18:43
Some Important Two-Sample TestsSection 9.3, in which we again consider the Wilcoxon test as an example. The same reasoning is applied in Section 9.5, where we discuss some of the nonparametric tests for detecting differences in scale. Section 9.6 focusses on the Kruskal–Wallis test for the .-sample problem, and we conclude this chapter with an introduction to adaptive tests.作者: 飛行員 時(shí)間: 2025-3-29 22:38 作者: Conscientious 時(shí)間: 2025-3-30 00:44
Introductionped for the former can be easily adapted to the latter. We indeed show that many names of tests come back (e.g., the Kolmogorov–Smirnov and the Anderson–Darling tests). It also further implies that many of the building blocks of Chapter 2 are useful again.作者: 安定 時(shí)間: 2025-3-30 04:04
0172-7397 er includes only formal statistical hypothesis tests for the one-sample and the .K.-sample problems, this book presents a more .general. and .informative. treatment by also considering graphical and estimation methods. A procedure is said to be informative when it provides information on the reason 作者: cliche 時(shí)間: 2025-3-30 09:04
Social Policy and the Politics of Devolutionefining the population versions of these plots, as these are easier vehicles for explaining how differences between distributions can be interpreted and understood. These graphs are again closely related to the tests discussed in the next chapters.作者: llibretto 時(shí)間: 2025-3-30 14:14
Social Policy and the Politics of Devolutionor 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– Darling type. We conclude the chapter with some practical guidelines in Section 11.4. As in Chapter 5 we again prefer the use of empirical processes for studying the asymptotic properties of the tests.作者: 外面 時(shí)間: 2025-3-30 17:29
