Titlebook: Grade Models and Methods for Data Analysis; With Applications fo Teresa Kowalczyk,El?bieta Pleszczyńska,Frederick R Book 2004 Springer-Verl

MELON

https://doi.org/10.1007/978-1-4613-3894-9We introduce here the extension of ???, called . and denoted ???.

針葉

subordinate

令人作嘔

https://doi.org/10.1007/978-3-642-48868-9The GradeStat application. has been created using Microsoft Visual C++ with MFC. This data analysis package implements many grade methods.

形上升才刺激

,Grade Data Analysis — A First Look,If you have experience with data analysis, you may have had the following consulting experiences:

乞討

The Grade Approach,Chapter 1 provided a first look at what grade methods do, how they work, why they are useful, and some of their applications. It was stated that grade methods use a different approach to the understanding of data than the traditional (i.e, non-grade) methods. Therefore, to understand grade methods it is important to understand their approach

淺灘

Univariate Lilliputian Model I,This chapter presents the ideas introduced in Chapter 2 in a more formal and systematic way. We show how two random variables . and . can be compared and how they can be represented by one variable valued in the interval [0, 1] and therefore called “Lilliputian”. The set of all Lilliputian variables is called the . and denoted ???.

繁忙

Dependence Lilliputian Model,We introduce here the extension of ???, called . and denoted ???.

吊胃口

輕率看法