干旱区生态环境知识资源中心(Arid): Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data

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DOI	10.3390/axioms10030154
	Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data
	Fonseca, Anderson; Ferreira, Paulo Henrique; do Nascimento, Diego Carvalho; Fiaccone, Rosemeire; Ulloa-Correa, Christopher; Garcia-Pina, Ayon; Louzada, Francisco
通讯作者	Ferreira, PH (corresponding author), Univ Fed Bahia, Dept Stat, BR-40170110 Salvador, BA, Brazil.
来源期刊	AXIOMS
EISSN	2075-1680
出版年	2021
卷号	10 期号:3
英文摘要	Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of large numbers, and brings limitations towards truncated processes as open questions in this field. This work was motivated by the register of elements related to the water particles monitoring (relative humidity), an important source of moisture for the Copiapo watershed, and the Atacama region of Chile (the Atacama Desert), and presenting high asymmetry for rates and proportions data. This paper proposes a new control chart for interval data about rates and proportions (symbolic interval data) when they are not results of a Bernoulli process. The unit-Lindley distribution has many interesting properties, such as having only one parameter, from which we develop the unit-Lindley chart for both classical and symbolic data. The performance of the proposed control chart is analyzed using the average run length (ARL), median run length (MRL), and standard deviation of the run length (SDRL) metrics calculated through an extensive Monte Carlo simulation study. Results from the real data applications reveal the tool's potential to be adopted to estimate the control limits in a Statistical Process Control (SPC) framework.
英文关键词	Symbolic Data Analysis (SDA) in Statistical Process Control (SPC) rates and proportions data unit-Lindley distribution relative air humidity monitoring Monte Carlo simulation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000699214400001
WOS关键词	CONTROL CHART ; REGRESSION ; RESOURCE
WOS类目	Mathematics, Applied
WOS研究方向	Mathematics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362685
作者单位	[Fonseca, Anderson; Ferreira, Paulo Henrique; Fiaccone, Rosemeire] Univ Fed Bahia, Dept Stat, BR-40170110 Salvador, BA, Brazil; [do Nascimento, Diego Carvalho] Univ Atacama, Fac Ingn, Dept Matemat, Copiapo 1530000, Chile; [Ulloa-Correa, Christopher; Garcia-Pina, Ayon] Univ Atacama, Lab Invest Criosfera & Aguas, IDICTEC, Copiapo 1530000, Chile; [Louzada, Francisco] Univ Sao Paulo, Inst Math & Comp Sci, BR-13566590 Sao Carlos, Brazil
推荐引用方式 GB/T 7714	Fonseca, Anderson,Ferreira, Paulo Henrique,do Nascimento, Diego Carvalho,et al. Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data[J],2021,10(3).
APA	Fonseca, Anderson.,Ferreira, Paulo Henrique.,do Nascimento, Diego Carvalho.,Fiaccone, Rosemeire.,Ulloa-Correa, Christopher.,...&Louzada, Francisco.(2021).Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data.AXIOMS,10(3).
MLA	Fonseca, Anderson,et al."Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data".AXIOMS 10.3(2021).