Stepwise Multiple Regression Method to Forecast Fish Landing

Ghani, Intan Martina Md; Sabri, Ahmad

doi:10.1016/j.sbspro.2010.12.076

Cited by 101 publications

(60 citation statements)

References 1 publication

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“…The multiple linear regression is one of linear regression analyses that is used to set up the relationship between a single response variable (dependent variable) and two or more predictor variables (independent variables) [26]. Stepwise multiple linear regression was used in this work to determine which factors, interaction, and quadratic terms contribute significantly to explain the variability of the dependent variable.…”

Section: Stepwise Multiple Regressionmentioning

confidence: 99%

Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

Paíga

Silva

Delerue–Matos

2016

J. Am. Soc. Mass Spectrom.

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Abstract. The flow rates of drying and nebulizing gas, heat block and desolvation line temperatures and interface voltage are potential electrospray ionization parameters as they may enhance sensitivity of the mass spectrometer. The conditions that give higher sensitivity of 13 pharmaceuticals were explored. First, Plackett-Burman design was implemented to screen significant factors, and it was concluded that interface voltage and nebulizing gas flow were the only factors that influence the intensity signal for all pharmaceuticals. This fractionated factorial design was projected to set a full 2 2 factorial design with center points. The lack-of-fit test proved to be significant. Then, a central composite face-centered design was conducted. Finally, a stepwise multiple linear regression and subsequently an optimization problem solving were carried out. Two main drug clusters were found concerning the signal intensities of all runs of the augmented factorial design. pAminophenol, salicylic acid, and nimesulide constitute one cluster as a result of showing much higher sensitivity than the remaining drugs. The other cluster is more homogeneous with some sub-clusters comprising one pharmaceutical and its respective metabolite. It was observed that instrumental signal increased when both significant factors increased with maximum signal occurring when both codified factors are set at level +1. It was also found that, for most of the pharmaceuticals, interface voltage influences the intensity of the instrument more than the nebulizing gas flowrate. The only exceptions refer to nimesulide where the relative importance of the factors is reversed and still salicylic acid where both factors equally influence the instrumental signal.

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Section: Stepwise Multiple Regressionmentioning

confidence: 99%

Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

Paíga

Silva

Delerue–Matos

2016

J. Am. Soc. Mass Spectrom.

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“…The results of distributions should be between −1.0 and +1.0. If the distribution of the variable is not normal, transformation of the independent variable may be necessary (Ghani and Ahmad, 2010).…”

Section: Theoretical Considerationsmentioning

confidence: 99%

“…Regression analysis is used in a wide range of the scientific disciplines such as in medicine, biology, econometric, engineering and social sciences (Ghani and Ahmad, 2010). If there is a relationship between two or more variables, which is not explained by any rule, this relation generally falls under the scope of statistics.…”

Section: Introductionmentioning

confidence: 99%

Multiple regression analysis of performance parameters of a binary cycle geothermal power plant

Karadaş

Çelik

Serpen³

et al. 2015

Geothermics

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“…For selecting the appropriate independent variables for predicting the E A of compacts, forward stepwise regression method was used (Ghani & Ahmad, 2010;Guillen-Casla et al, 2011). Volume mean diameter D[4.3], moisture content and hardness were the independent variables selected for the stepwise forward regression analysis.…”

Section: 6mentioning

confidence: 99%

Analysing the effect of particle size on the disintegration of distiller's spent grain compacts while drying in superheated steam medium

Johnson

Paliwal

Cenkowski

2015

Biosystems Engineering

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Stepwise Multiple Regression Method to Forecast Fish Landing

Cited by 101 publications

References 1 publication

Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

Optimization of the Ion Source-Mass Spectrometry Parameters in Non-Steroidal Anti-Inflammatory and Analgesic Pharmaceuticals Analysis by a Design of Experiments Approach

Multiple regression analysis of performance parameters of a binary cycle geothermal power plant

Analysing the effect of particle size on the disintegration of distiller's spent grain compacts while drying in superheated steam medium

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