Sustainable Urban Forest using Multiple Regression Models

Abdullah, Noraini; Zainodin, H.J.; Ahmed, Amran

doi:10.3923/rjf.2012.1.15

Cited by 7 publications

(10 citation statements)

References 5 publications

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“…Tin Oxide (SnO 2 ) thin film is one of the transparent conductive oxide (TCOs) with 3.7eV of energy band gap [5]. It is an n-type semiconductor which is extensively used in large technological applicability such as electrodes in solar cells, flat-panel displays, defrosting windows and oven windows [2].…”

Section: Introductionmentioning

confidence: 99%

“…The technique can be carried out at low temperatures, whilst yielding the preferred orientation and uniform properties [8]. Annealing temperature is a crucial parameter to improve the structural, electrical and optical properties of the sputtered thin film [5].…”

Section: Introductionmentioning

confidence: 99%

“…The experimental work in [5] had deposited the tin oxide thin films using radio frequency sputtering technique. It is annealed at 373K, 473K, 573K and 673K.…”

Section: Introductionmentioning

confidence: 99%

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Multiple Regression Model on Optical Properties of Tin Oxide Thin Film

Yassin

Baco

Abdullah

2015

AMR

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Tin Oxide (SnO2) thin film is one of the important transparent conducting oxides (TCOs) due to its electrical and optical transparency in visible light spectrum. This study presents the best model in estimating optical properties of tin oxide thin film which is performed using the absorption coefficient of the film. The annealing temperature is at 473 K prepared by radio frequency sputtering technique. Twelve multiple regression (MR) models with interactions are generated from three independent variables (transmission spectra, energy band gap and the wavelength of light). They are developed from data sets of 50. The best model M8.0.0 is chosen from the 6 selected models based on the Eight Selection Criterion (8SC). Best model will have the majority criteria with the least value. Factors affect the absorption coefficient are found to be X1(transmission spectra), X2(energy band gap) and X1X2(interaction between transmission spectra and energy band gap).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiple Regression Model on Optical Properties of Tin Oxide Thin Film

Yassin

Baco

Abdullah

2015

AMR

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“…2. From the selected models, the best model of Phase 3 will be chosen with the minimum values based on the eight selection criteria (8SC) as shown by [8], [10]. The best model will then undergo through the goodness-of-fit tests in Phase 4, namely, the randomness test using the scatter plot, and the normality test on the standardized residuals.…”

Section: Study Areamentioning

confidence: 99%

“…According to [8]- [10], the number of possible models of Phase 1 is calculated as shown by the formula:…”

Section: Study Areamentioning

confidence: 99%

Palm Oil to Biodiesel: Determination Factors on Production and Export Volume

Abdullah¹,

Zainodin²,

Amir³

2015

JOCET

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Abstract-In this study, determination factors that affect the production volume of oil palm fruits and the export volume of biodiesel are identified using the multiple regression technique, and results using model transformation method are compared. For this purpose, two models are developed, namely, Model I is for the production volume of oil palm fruits, while Model II is for the export volume of biodiesel. Data variables are transformed using the ladder of power transformation method. There are five independent variables in Model I and four independent variables in Model II. The four phases in multiple regression model-building are carried out on both Model I and II respectively. Model I will use the model transformation method to change the data from non-normality to normality. The best model obtained for Model I by model transformation is M72.2.5. The main factor is the total workers employed during last pay period, and the interaction factors up to order two are: harvested area interact with yield per hectare, harvested area interact with local delivery average price, harvested area interact with total workers employed during last pay period, yield per hectare interact with local delivery average price, harvested area interact with local delivery average price interact with total workers employed during last pay period and yield per hectare interact with local delivery average price interact with total workers employed during last pay period. The MAPE value for best model on model transformation is 2.62%. Therefore, the best model using the model transformation method is said to be acceptable to forecast for the production volume. The best model M72.2.5 is then used to obtain Model II which is given by M2.0.0. The main factor is the export volume of biodiesel.

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Linking Personality Traits, Self-Efficacy and Burnout of Teachers in Public Schools: Does School Climate Play a Moderating Role?

Shakeel

Khan

et al. 2021

Public Organiz Rev

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Sustainable Urban Forest using Multiple Regression Models

Cited by 7 publications

References 5 publications

Multiple Regression Model on Optical Properties of Tin Oxide Thin Film

Multiple Regression Model on Optical Properties of Tin Oxide Thin Film

Palm Oil to Biodiesel: Determination Factors on Production and Export Volume

Linking Personality Traits, Self-Efficacy and Burnout of Teachers in Public Schools: Does School Climate Play a Moderating Role?

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