Standard uncertainty estimation on polynomial regression models

Arvind Rajan; Ye Chow Kuang; Melanie Po-Leen Ooi; Serge Demidenko

doi:10.1109/SAS.2014.6798947

Standard uncertainty estimation on polynomial regression models

Arvind Rajan, Ye Chow Kuang, Melanie Po-Leen Ooi, Serge Demidenko

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

5 Citations (Scopus)

Original language	English
Title of host publication	2014 IEEE Sensors Applications Symposium (SAS 2014) Proceedings
Editors	Salvatore Baglio, Deniz Gurkan
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	207 - 212
Number of pages	6
ISBN (Print)	9781479921805
DOIs	https://doi.org/10.1109/SAS.2014.6798947
Publication status	Published - 2014
Event	IEEE Sensors Applications Symposium (SAS) 2014 - Queenstown, New Zealand Duration: 18 Feb 2014 → 20 Feb 2014

Conference

Conference	IEEE Sensors Applications Symposium (SAS) 2014
Abbreviated title	SAS 2014
Country/Territory	New Zealand
City	Queenstown
Period	18/02/14 → 20/02/14

Access to Document

10.1109/SAS.2014.6798947

Cite this

@inproceedings{21d04ae7522341448401990e9985d3f6,

title = "Standard uncertainty estimation on polynomial regression models",

author = "Arvind Rajan and Kuang, \{Ye Chow\} and Ooi, \{Melanie Po-Leen\} and Serge Demidenko",

year = "2014",

doi = "10.1109/SAS.2014.6798947",

language = "English",

isbn = "9781479921805",

pages = "207 -- 212",

editor = "Salvatore Baglio and Deniz Gurkan",

booktitle = "2014 IEEE Sensors Applications Symposium (SAS 2014) Proceedings",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Sensors Applications Symposium (SAS) 2014, SAS 2014 ; Conference date: 18-02-2014 Through 20-02-2014",

}

Rajan, A, Kuang, YC, Ooi, MP-L & Demidenko, S 2014, Standard uncertainty estimation on polynomial regression models. in S Baglio & D Gurkan (eds), 2014 IEEE Sensors Applications Symposium (SAS 2014) Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 207 - 212, IEEE Sensors Applications Symposium (SAS) 2014, Queenstown, New Zealand, 18/02/14. https://doi.org/10.1109/SAS.2014.6798947

Standard uncertainty estimation on polynomial regression models. / Rajan, Arvind; Kuang, Ye Chow; Ooi, Melanie Po-Leen et al.
2014 IEEE Sensors Applications Symposium (SAS 2014) Proceedings. ed. / Salvatore Baglio; Deniz Gurkan. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 207 - 212.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Standard uncertainty estimation on polynomial regression models

AU - Rajan, Arvind

AU - Kuang, Ye Chow

AU - Ooi, Melanie Po-Leen

AU - Demidenko, Serge

PY - 2014

Y1 - 2014

UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6798947

UR - https://www.scopus.com/pages/publications/84900023655

U2 - 10.1109/SAS.2014.6798947

DO - 10.1109/SAS.2014.6798947

M3 - Conference Paper

SN - 9781479921805

SP - 207

EP - 212

BT - 2014 IEEE Sensors Applications Symposium (SAS 2014) Proceedings

A2 - Baglio, Salvatore

A2 - Gurkan, Deniz

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE Sensors Applications Symposium (SAS) 2014

Y2 - 18 February 2014 through 20 February 2014

ER -

Standard uncertainty estimation on polynomial regression models

Conference

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