Titlebook: ;

Outmoded

刻苦讀書

https://doi.org/10.1007/978-1-349-09399-1As in the previous chapter this chapter mainly deals with multivariate data. A multivariate data set can conveniently be expressed in the form of a matrix as follows: .The rows of X therefore, represent the . different cases while the columns represent the . variables.

領(lǐng)巾

https://doi.org/10.1007/978-94-009-5943-9In a regression analysis the following graphical techniques are particularly important:

neuron

Carsten Schultz,Katharina H?lzleTime series data are usually collected on a monthly, quarterly or annual basis. Such time series provide important economic and demographic information and are published by various institutions on a regular basis.

arthroplasty

The Role of Graphics in Data Exploration,One of the most difficult tasks of a researcher is to convey findings based on statistical analyses to interested persons. Failure to communicate these findings successfully puts paid to all his data-analytical work, irrespective of its quality.

割讓

AIL

Cluster Analysis,As in the previous chapter this chapter mainly deals with multivariate data. A multivariate data set can conveniently be expressed in the form of a matrix as follows: .The rows of X therefore, represent the . different cases while the columns represent the . variables.

DEAF

floaters

不容置疑

https://doi.org/10.1007/978-3-662-53229-4ta in two dimensions. Some of these techniques, such as Andrews’ curves and Chernoff faces, have captured the imagination of the research community (particularly the non-statisticians) and are currently enjoying widespread interest. Some ten representations will be discussed in this chapter and illustrated on the basis of simple examples.