An Overview of Partial Least Squares

Pirouz, Dante

doi:10.2139/ssrn.1631359

Cited by 100 publications

(64 citation statements)

References 7 publications

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“…Third, it does not require normal distributions of data and error term. Pirouz (2006) suggests some advantages of PLS: (1) it can be used in the model with many dependent and independent variables, (2) it is a robust testing …”

Section: Discussionmentioning

confidence: 99%

The Implementation of Corporate Social Responsibility (CSR) in Central Java Earthquake: A Preliminary Study on Consumer Belief, Attitude, and Purchase Intention

Hendarto

2009

GADJAH MADA INT. J. BUS.

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In Indonesia, Law No. 40/2007 Using the cases of CSR during the earthquake in Jogjakarta, which was before the enactment of the Law, the objective of this paper is to investigate whether CSR leads to a decrease in competitiveness. In this paper, the objective is achieved by examining the models of beliefs, attitudes, and purchase intentions of consumers toward a company implementing CSR.On May 27, 2006, at approximately 05:59 a.m., an earthquake of 5.6 Richter scale damaged Yogyakarta and the surrounding areas. The results of the preliminary assessment on the damages and losses of an early morning earthquake in the provinces of DIY and Central Java revealed that the earthquake killed more than 5,716 people, injured 37,927 people, destroyed 240,396 houses, as well as resulted in disruption of local economic activities.

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Section: Discussionmentioning

confidence: 99%

The Implementation of Corporate Social Responsibility (CSR) in Central Java Earthquake: A Preliminary Study on Consumer Belief, Attitude, and Purchase Intention

Hendarto

2009

GADJAH MADA INT. J. BUS.

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“…The problems are two fold: first the solution will over-fit the data due to the excess of parameters and secondly, the method becomes unable to accurately discriminate those genes that control the trait from irrelevant genes. While hybrid methods have been introduced to ameliorate these problems [17][18][19], the application of the PLS method in QTL mapping is limited [20]. This paper presents a new hybrid method that overcomes both these limitations of PLS while retaining the advantages.…”

Section: Statistical Pls Methodsmentioning

confidence: 99%

Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach

et al. 2013

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The Quantitative Trait Loci (QTL) mapping problem aims to identify regions in the genome that are linked to phenotypic features of the developed organism that vary in degree. It is a principle step in determining targets for further genetic analysis and is key in decoding the role of specific genes that control quantitative traits within species. Applications include identifying genetic causes of disease, optimization of cross-breeding for desired traits and understanding trait diversity in populations. In this paper a new multi-objective evolutionary algorithm (MOEA) method is introduced and is shown to increase the accuracy of QTL mapping identification for both independent and epistatic loci interactions. The MOEA method optimizes over the space of possible partial least squares (PLS) regression QTL models and considers the conflicting objectives of model simplicity versus model accuracy. By optimizing for minimal model complexity, MOEA has the advantage of solving the over-fitting problem of conventional PLS models. The effectiveness of the method is confirmed by comparing the new method with Bayesian Interval Mapping approaches over a series of test cases where the optimal solutions are known. This approach can be applied to many problems that arise in analysis of genomic Algorithms 2013, 6 547 data sets where the number of features far exceeds the number of observations and where features can be highly correlated.

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“…Inkpen and Birkenshaw (1994) wrote that in their study, all relations were modeled simultaneously to avoid multi-colinearity, so that they used PLS; (3) it does not require normal distribution of the data and normal distribution of the error term. Pirouz (2006) wrote that some advantages of PLS, are: (a) that it can be used in the model with many dependent and independent variables; (b) that it is a robust testing for the missing data and noise data; (c) that it can be used for reflective and formative latent data; (d) that it can handle nominal, ordinal, and continuous scales. In brief, the difference (vis-à-vis) between variant-based and covariance-based is presented in Table 2.…”

Section: Trend Of Research Location and The Theory Usedmentioning

confidence: 99%

Corporate Social Responsibility and Marketing: a Literature Review of Ebsco Database 2008 - 2010

Hendarto¹

2017

EKUITAS

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An Overview of Partial Least Squares

Cited by 100 publications

References 7 publications

The Implementation of Corporate Social Responsibility (CSR) in Central Java Earthquake: A Preliminary Study on Consumer Belief, Attitude, and Purchase Intention

The Implementation of Corporate Social Responsibility (CSR) in Central Java Earthquake: A Preliminary Study on Consumer Belief, Attitude, and Purchase Intention

Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach

Corporate Social Responsibility and Marketing: a Literature Review of Ebsco Database 2008 - 2010

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