I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile

Milan Stehlik; Radka Sabolova; Vladimira Seckarova; L. Nunez Soza; Jozef Kiselak

doi:10.1016/j.chemolab.2022.104579

I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile

Milan Stehlik
, Radka Sabolova
, Vladimira Seckarova
, L. Nunez Soza
, Jozef Kiselak

Department of Data Acquisition and Data Quality

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	104579
Number of pages	24
Journal	Chemometrics and Intelligent Laboratory Systems
Volume	226
DOIs	https://doi.org/10.1016/j.chemolab.2022.104579
Publication status	Published - 15 Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Fields of science

101018 Statistics
101024 Probability theory
101026 Time series analysis
101029 Mathematical statistics
102009 Computer simulation
102035 Data science
509 Other Social Sciences

Access to Document

10.1016/j.chemolab.2022.104579

Cite this

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title = "I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile",

author = "Milan Stehlik and Radka Sabolova and Vladimira Seckarova and \{Nunez Soza\}, L. and Jozef Kiselak",

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day = "15",

doi = "10.1016/j.chemolab.2022.104579",

language = "English",

volume = "226",

journal = "Chemometrics and Intelligent Laboratory Systems",

issn = "1873-3239",

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TY - JOUR

T1 - I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile

AU - Stehlik, Milan

AU - Sabolova, Radka

AU - Seckarova, Vladimira

AU - Nunez Soza, L.

AU - Kiselak, Jozef

PY - 2022/7/15

Y1 - 2022/7/15

UR - https://www.scopus.com/pages/publications/85131402686

U2 - 10.1016/j.chemolab.2022.104579

DO - 10.1016/j.chemolab.2022.104579

M3 - Article

SN - 1873-3239

VL - 226

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

M1 - 104579

ER -

I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile

UN SDGs

Fields of science

Access to Document

Other files and links

Applications of Statistical Methods

Statistical Inference in Complex Situations

Cite this

I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile

UN SDGs

Fields of science

Access to Document

Other files and links

Projects

Applications of Statistical Methods

Statistical Inference in Complex Situations

Cite this