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  1. 1

    Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

    Published 2015
    “…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
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    Journal Article
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    Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

    Published 2015
    “…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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    Thesis
  4. 4

    Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior by Abu Bakar, Nashirah, Rosbi, Sofian, Haji Hashim, Hydzulkifli, Che Arshad, Noraziah

    Published 2021
    “…The value of Cronbach’s alpha statistical test for measuring internal reliability is larger than 0.7 for all four variables. …”
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    Article
  5. 5

    Exploratory Survey on UUM Student’s Acceptance Towards the Founding of Waqf Institution For Education by Omar, Hydzulkifli Hashim, Abu Bakar, Azizi, Basary, Noor Faezah, Shuib, Mohd Sollehudin, Yusuff, Noraini

    Published 2018
    “…All the data are analysed using software of Statistical Package for Social Science (SPSS) by conducting statistical method namely, Independent Samples T-test, Analysis of Variance (ANOVA), Pearson Corellation and Multiple Linear Regression analysis to achieve the objectives of this research. …”
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    Article
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    Adoption of ZakaTech in the Time of COVID-19: Cross-Country and Gender Differences by Nashwan, Saeed Awadh, Ismaiel, Abdelhamid Elsayed A., Muneeza, Aishath, Isa, Mohamad Yazid

    Published 2023
    “…Findings – By analyzing both Saudi and Egyptian samples, the authors found that all UTAUT constructs are statistically significant, except for effort expectancy in Egypt. …”
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    Article
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    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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    Thesis
  11. 11

    Theoretical study of spermatozoa sorting by dielectrophoresis or magnetophoresis with supervised learning by Koh, James Boon Yong

    Published 2019
    “…By fitting the model to a tenth of the sample size required for statistical convergence, predicted results are precise and accurate to a handful of percentage points. …”
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    Thesis
  12. 12

    Neural and psychological correlates of stuttering by Demirel, B

    Published 2025
    “…Despite this relatively large sample size, we found no significant group differences at a strict statistical threshold (Z > 3.1). …”
    Thesis
  13. 13

    Investigating the EM performance of building materials for mid-band 5G in urban built environment: an exploratory study by Ng, Sean Jake Peng

    Published 2024
    “…From the analysis of the free-space transmission coefficients (|S21|) data, samples from the 2 wt% Fe2O3 treatment group demonstrated statistically significant mean improvements in microwave transparency (up to 2.28 dB) and 100% fractional bandwidth performance across the 3.40 to 3.60 GHz frequency range. …”
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    Thesis-Doctor of Philosophy
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    Effect of educational intervention on the intention to provide family-centered care among selected hospitals’ paediatric nurses in Tehran, Iran by Rostami, Forouzan

    Published 2015
    “…Descriptive and multivariate statistics (repeated measures ANOVA) were used for analysing the data. …”
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    Thesis
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    Reliability analysis and data driven modelling of railway component failure by Wang, Jinlong

    Published 2022
    “…The one-dimensional time-to-failure type data sets in the first three cases were modeled by Weibull distribution models to characterize the reliability. Such statistical models are under some distribution assumptions which may not be fully satisfied in practice, but the models can be fitted with limited data samples and their interpretabilities are high. …”
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    Thesis-Doctor of Philosophy
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    Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications by Johnson, Nicholas André G.

    Published 2024
    “…This thesis advances both the theory and application of sparse and low rank matrix optimization, focusing on problems that arise in statistics and machine learning. …”
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    Thesis
  18. 18

    Understanding lived experiences of bereaved parents of children with chronic life-threatening Illness : towards a culture-specific and meaning-oriented narrative E-writing interven... by Dutta, Oindrila

    Published 2020
    “…It is a misconception that death occurs only in later life. Statistics show that an estimated 6.3 million children under age 15 died in 2017, with the vast majority of deaths - 5.4 million - occurring in the first five years of life. …”
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    Thesis-Doctor of Philosophy