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pro vyhledávání: '"Dennis K.J. Lin"'
Autor:
Dennis K.J. Lin
Publikováno v:
The New England Journal of Statistics in Data Science. :31-34
Publikováno v:
Journal of Statistical Planning and Inference. 218:59-72
A main goal in computer experiments is to estimate the expected model output. This article proposes a new type of space-filling design, called a sliced symmetrical Latin hypercube, intended for solving this integration problem when multiple computer
Publikováno v:
Statistica Sinica.
Autor:
Nicholas Rios, Dennis K.J. Lin
Publikováno v:
Journal of Quality Technology. 54:517-526
Autor:
Dennis K.J. Lin, Runze Li
Publikováno v:
Journal of Data Science. 1:249-260
Supersaturated designs are very cost-effective with respect to the number of runs and as such are highly desirable in many preliminary studies in industrial experimentation. Variable selection plays an important role in analyzing data from the supers
Autor:
Dennis K.J. Lin, Vijay Wadhwa
Publikováno v:
Journal of Data Science. 6:219-229
Radio Frequency Identification (RFID) has taken center stage at retail and consumer products forum. RFID is not a new technology; it has been in use for many years. In this paper, we first review RFID technology and the components that form the backb
Autor:
Pannapa Changpetch, Dennis K.J. Lin
Publikováno v:
Journal of Data Science. 14:713-738
Publikováno v:
Journal of Data Science. :243-252
Publikováno v:
J Appl Stat
Profile data emerges when the quality of a product or process is characterized by a functional relationship among (input and output) variables. In this paper, we focus on the case where each profile has one response variable Y, one explanatory variab
Autor:
Ching Chi Yang, Dennis K.J. Lin
Publikováno v:
Quality Engineering. 33:240-251
Dimensional analysis transforms a dimensionally homogeneous model into its simplest form; the number of input variables can be reduced. Such a reduction is very helpful in statistical design and an...