Unfolded partial least-squares with residual quadrilinearization: A new multivariate algorithm for processing five-way data achieving the second-order advantage. Application to fourth-order excitation-emission-kinetic-pH fluorescence analytical data

标题
Unfolded partial least-squares with residual quadrilinearization: A new multivariate algorithm for processing five-way data achieving the second-order advantage. Application to fourth-order excitation-emission-kinetic-pH fluorescence analytical data
作者
关键词
-
出版物
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Volume 109, Issue 2, Pages 178-185
出版商
Elsevier BV
发表日期
2011-09-17
DOI
10.1016/j.chemolab.2011.09.002

向作者/读者发起求助以获取更多资源

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now