Forward Selection Procedure for Linear Model Building Using Spearmans Rank Correlation

Rahman, Siddiqur; Khan, Jafar A

doi:10.3329/dujs.v60i2.11481

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…From Bangabandhu's own words we came to know that Bangamata inspired him to write his memoirs (Rahman, 2012). Hossain Shaheed Suhrawardy, Sher-e-Bangla A.K Fazlul Haque, and Moulana Abdul Hamid Khan Bhashani did not write about their lives and struggles, so the nation lacks a detailed and accurate history.…”

Section: The Rise Of a Shadow Leadermentioning

confidence: 99%

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Haque,

Sultana,

Rahman

et al. 2023

Soc. Sci. Rev.

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The emancipation of Bangladesh occupies a significant place in world history. Both men and women of Bangladesh valiantly participated in the liberation struggle and consequently, in the nation-building process. However, throughout the long period, liberation has been constructed as an exclusively male endeavour that ignores the contribution made by women in the process of bringing the nation into being. As women played an active and significant role in the process of constructing this nation, the need is now to reconstruct the traditional ways of representation as well as to see the role of women's leadership in the emergence of Bangladesh with a special focus on the life of Bangamata Sheikh Fazilatunnesa Mujib. In this regard, accommodating qualitative research methodology, more specifically the feminist research approach, this paper aims to explore the leadership of Bangamata by adorning the ‘Behavioural Theory of Leadership’ along with ‘Transformational Leadership Theory’ that emphasizes the actions, not on mental or inner characteristics of a leader. These theories centre on how an individual's surroundings structure that person into a leader. This paper has depicted the leadership of Bangamata in the creation of Bangladesh and its political-economic journey onwards. Social Science Review, Vol. 40(1), Jun 2023 Page 1-20

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Section: The Rise Of a Shadow Leadermentioning

confidence: 99%

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Haque,

Sultana,

Rahman

et al. 2023

Soc. Sci. Rev.

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“…Genetic algorithms, as well as classical methods such as stepwise regression, fall in the last category, that of wrapper methods , which consist in selecting a subset of features based on their ability to predict well. Through the years, a number of different methods have been proposed, either in methodological papers like Rahman & Khan (2012) or through applications such as Onan (2015) and Onan & Korukoğlu (2017).…”

Section: Introductionmentioning

confidence: 99%

Objective model selection with parallel genetic algorithms using an eradication strategy

Plante

Larocque

Adès³

2023

Can J Statistics

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In supervised learning, feature selection methods identify the most relevant predictors to include in a model. For linear models, the inclusion or exclusion of each variable may be represented as a vector of bits playing the role of the genetic material that defines the model. Genetic algorithms reproduce the strategies of natural selection on a population of models to identify the best. We derive the distribution of the importance scores for parallel genetic algorithms under the null hypothesis that none of the features has predictive power. They, hence, provide an objective threshold for feature selection that does not require the visual inspection of a bubble plot. We also introduce the eradication strategy, akin to forward stepwise selection, where the genes of useful variables are sequentially forced into the models. The method is illustrated on real data, and simulation studies are run to describe its performance.

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“…Our strategy is to use the BE model to sequence the candidate predictors to form a list, with the best predictors at the top. BE has been described using sample correlations and proposed a robust version of BE (RBE) that is based on two approaches to robust bivariate correlation estimates: adjusted winsorized correlation and Spearman rank correlation 11,12,13 . These two types of correlations are robust only to bivariate outliers.…”

Section: Introductionmentioning

confidence: 99%

Robust Multiple Linear Backward EliminationRegression

Rahman,

Sharmin

2023

Dhaka Univ. J. Sci.

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For building a linear prediction model, robust Backward Elimination (RBE) algorithm, which is computationally useful and scalable to high-dimensional large datasets, is introduced in this investigation. Backward Elimination (BE) can be stated in terms of sample correlations and simple RBE can be obtained by swapping out these correlations with their corresponding robust counterparts. The robust correlation for winsorized data was employed based on the adjusted winsorized correlation as a robust bivariate correlation. In another study, the Spearman rank correlation was employed as a robust bivariate correlation. However, the RBE has some drawbacks in the presence of multivariate outliers. In this article, the usage of FastMCD (Fast minimum covariance determinant)-based correlation is proposed in BE to reduce the influence of outlying data points. We call this proposed method BEmcd. A comprehensive simulation study was conducted to evaluate the performance of BEmcd with that of RBE based on winsorized correlation and Spearman rank correlation. Simulations and an application of actual data demonstrate the outstanding performance of BEmcd. Dhaka Univ. J. Sci. 71(2): 134-141, 2023 (July)

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Forward Selection Procedure for Linear Model Building Using Spearmans Rank Correlation

Cited by 3 publications

References 8 publications

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Objective model selection with parallel genetic algorithms using an eradication strategy

Robust Multiple Linear Backward EliminationRegression

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Forward Selection Procedure for Linear Model Building Using Spearmans Rank Correlation

Cited by 3 publications

References 8 publications

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Women Leadership in the Emergence of Bangladesh: A Study on Bangamata Sheikh Fazilatunnesa Mujib

Objective model selection with parallel genetic algorithms using an eradication strategy

Robust Multiple Linear Backward EliminationRegression

Contact Info

Product

Resources

About

Forward Selection Procedure for Linear Model Building Using Spearmans Rank Correlation