懒鬼才会衰弱
发表于 2025-3-26 21:03:05
Multivariate Distributionsation on the relationship between the variables can be made available. Only basic statistical theory was used to derive tests of independence or of linear relationships. In this chapter we give an introduction to the basic probability tools useful in statistical multivariate analysis.
浅滩
发表于 2025-3-27 01:16:11
Theory of the Multinormalistribution, since it is often a good approximate distribution in many situations. Another reason for considering the multinormal distribution relies on the fact that it has many appealing properties: it is stable under linear transforms, zero correlation corresponds to independence, the marginals a
迷住
发表于 2025-3-27 09:02:26
Theory of Estimation generates the data. This is known as statistical inference: we infer from information contained in a sample properties of the population from which the observations are taken. In multivariate statistical inference, we do exactly the same. The basic ideas were introduced in Section 4.5 on sampling t
Expostulate
发表于 2025-3-27 13:29:15
Decomposition of Data Matrices by Factorsvariate or univariate devices used to reduce the dimensions of the observations. In the following three chapters, issues of reducing the dimension of a multivariate data set will be discussed. The perspectives will be different but the tools will be related.
代理人
发表于 2025-3-27 17:28:45
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和音
发表于 2025-3-27 20:51:20
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固执点好
发表于 2025-3-27 23:42:04
Cluster Analysissituations can arise. Given a data set containing measurements on individuals, in some cases we want to see if some natural groups or classes of individuals exist, and in other cases, we want to classify the individuals according to a set of existing groups. Cluster analysis develops tools and metho
清楚
发表于 2025-3-28 04:14:25
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名词
发表于 2025-3-28 10:10:40
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confederacy
发表于 2025-3-28 12:34:19
Multidimensional Scalingt Analysis are dominantly used tools. In many applied sciences data is recorded as ranked information. For example, in marketing, one may record “product A is better than product B”. High-dimensional observations therefore often have mixed data characteristics and contain relative information (w.r.t