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

書目名稱High Speed A/D Converters影響因子(影響力)




書目名稱High Speed A/D Converters影響因子(影響力)學(xué)科排名




書目名稱High Speed A/D Converters網(wǎng)絡(luò)公開度




書目名稱High Speed A/D Converters網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High Speed A/D Converters被引頻次




書目名稱High Speed A/D Converters被引頻次學(xué)科排名




書目名稱High Speed A/D Converters年度引用




書目名稱High Speed A/D Converters年度引用學(xué)科排名




書目名稱High Speed A/D Converters讀者反饋




書目名稱High Speed A/D Converters讀者反饋學(xué)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.

軍械庫

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.

預(yù)知

開始沒有

暴發(fā)戶

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.

陰謀小團(tuán)體

領(lǐng)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