Titlebook: High Speed A/D Converters; Understanding Data C Moscovici Alfi Book 2001 Springer Science+Business Media New York 2001 CMOS.Signal.analog.c

STRI

书目名称High Speed A/D Converters影响因子(影响力)




书目名称High Speed A/D Converters影响因子(影响力)学科排名




书目名称High Speed A/D Converters网络公开度




书目名称High Speed A/D Converters网络公开度学科排名




书目名称High Speed A/D Converters被引频次




书目名称High Speed A/D Converters被引频次学科排名




书目名称High Speed A/D Converters年度引用




书目名称High Speed A/D Converters年度引用学科排名




书目名称High Speed A/D Converters读者反馈




书目名称High Speed A/D Converters读者反馈学科排名

Ophthalmologist

997), Khuri (1993), Magnus and Neudecker (1999), Schott (1997), and Searle (1982) show how vectors and matrices are useful in applied statistics. Because the results in this chapter are to provide the reader with the basic knowledge of vector spaces and matrix algebra, results are presented without proof.

军械库

ould be too difficult to cover basic material on multiple regression like that in Chapter 4 first. Teaching the ANOVA as a special case of multiple regression has the advantage of illustrating the way computer packages operate, since the packages do not use the methods you were taught as an undergraduate.

预知

开始没有

暴发户

tly circular process is that a small number of linear combinations, which define a new set of variables, may be able to describe all or nearly all of the meaning of the larger set of original variables.

Spinal-Tap

n the discussion of multiple regression—an important but contrasting model which assumed that the predictors were reliable. As was noted in the earlier discussion, small amounts of measurement error would not seriously impair the use of the regression model, but could produce spurious results when the predictors were highly unreliable.

阴谋小团体

领巾

ill first present . considerations about the . and . associated with a decision. The topic leads into ., an area of decision making that ties together communication theory, statistics, econometrics, and psychophysics.

Collar

tions are formed from variables, and the resulting linear combinations are used to “predict” the original variables. The reason for using this apparently circular process is that a small number of linear combinations, which define a new set of variables, may be able to describe all or nearly all of