Welch t-test is the parametric test for comparing means between two independent groups without assuming equal population variances. This statistic robust testing mean equality when homogeneity assumption not satisfied, but always robust. When multiple problems such as distribution non-normal, variance heterogeneous and unequal size of occur simultaneously, Type I error will inflate. In this study, various conditions sample sizes, type distributions group variances were manipulated to...

Developing countries also faced extreme traffic congestion issues specifically in cities as part of the development process. Traffic urban areas not only affecting road resources and maintenance but accessibility infrastructure mobility for public transportation. However, new implementation had some weaknesses people raised their concerns feedback publicly. In West Klang Valley there were no comprehensive studies conducted previously, is a need to provide investigation on current reliability...

This paper investigates the correlation between normal births and jaundice-related at General Hospital Agbor Federal Medical Center Asaba for years 2013-2022. Utilizing Pearson analysis, research aimed to assess relationship these variables in semi-urban urban healthcare settings. Results indicate a moderate weak positive correlation, with numerical values revealing correlationcoefficient of 0.5234 0.3086 Asaba. Beyond establishing strength this unveils practical implications. A is observed...

It has been usually assumed that a sample data is normally distributed when the size at least 30. This general rule in using central limit theorem based on being greater or equal to Many literary works also normality study aims determine required satisfy assumption from three non-normal distributions, Poisson, Gamma and Exponential distributions. Computer simulations are carried out for Through study, it found Poisson distributions need less than 30, while needs more 30 achieve normality.

The sample mean classifier, such as the nearest classifier (NMC) and Bayes is not robust due to influence of outliers. Enhancing performance these methods may result in vital information loss weighting or data deletion. focus this study develop hybrid univariate classifiers that do rely on following transformation methods, least square approach (LSA) linear prediction (LPA), are applied estimate parameters interest achieve objectives study. LSA LPA estimates two groups classifiers. We...

In hypothesis testing, inference is made by comparing the computed test statistic and critical value which rely on a specified level of significance degrees freedom. This paper examines various study variables to assess whether there exists an interdependency between relationship intimacy these variables. The chi-square test, likelihood ratio adjusted standardised residual, proposed benchmark methods are applied determine acceptance or rejection null individual category contribution that...

Robust multivariate correlation techniques are proposed to determine the strength of association between two or more variables interest since existing susceptible outliers when data set contains random outliers. The performances were compared with conventional techniques. All under study applied on COVID-19 sets for Malaysia and Nigeria level which confirmed, discharged, death cases. These techniques’ evaluated based (R), coefficient determination (R^2), Adjusted R^2. showed R=0.99 methods...

The root growth algorithm has often been used to solve challenging optimization issues. It is one of the metaheuristic algorithms inspired by in plant behaviors. An article reviewed and analyzed bibliographic data on metaheuristics but not specific topic algorithm. Therefore, this presents a bibliometric analysis based reviews publication from Scopus database. Based search process done 14 February 2023 using keywords algorithm, managed gather 1836 articles 1976-2023. However, only focuses...

The COVID-19 pandemic has affected the lives of millions across globe and taken away hundreds thousands lives. spread due to negligence had caused confirmed cases in Malaysia. Malaysia Government enforced Movement Control Order as a measure prevent further outbreak disease. This study investigated current situation patients’ demographical connections findings show that attacked males more than females elderly sixty years above are mostly affected.

The robustness of some classical univariate classifiers is hampered if the data are contaminated. Overfitting another hiccup when sets uncontaminated with a considerable sample size. performance classification models can be easily biased by outliers’ problems, which constructed model tends to overfitted. Previous studies often used Bayes Classifier (BC) and Predictive (PC) address two groups problems. Unfortunately for substantial large sizes data, BC method overfits Optimal Probability...

Stock market prediction is vital in the financial world. Investors and people interested investing would be future value of stock before they invest it. By using method time series, this research gives a contribution to forecast modelling FTSE Bursa Malaysia KLCI (FBM KLCI) market. In research, forecasted identify trend future. The FBM closing prices data was utilized build Long Short-Term Memory (LSTM) models predict performance model has been evaluated root mean squared error (RMSE)...

This paper aimed to determine the efficiency of classifiers for high-dimensional classification methods. It also investigated whether an extreme minimum misclassification rate translates into robust efficiency. To ensure acceptable procedure, a benchmark evaluation threshold (BETH) was proposed as metric analyze comparative performance A simplified derived show different achieve objectives, existing probability correct (PCC) or accuracy reported in five articles used generate BETH value....

Analysis of Variance (ANOVA) is a well-known method to test the equality mean for two or more groups. ANOVA robust under normality assumption. Arithmetic used in computation test. Mean known be sensitive towards outlier and this problem will affect robustness power ANOVA. In study, modification was created using one type replace arithmetic namely trimmed mean. New approaches were obtained This study conducted based on simulation application real data. The performance modified then compared...

Nonparametric methods require only few assumptions to be made about the format of data, and they may therefore preferable when required for parametric are not valid. The Wilcoxon signed rank test applies matched pairs studies. For two tail test, it tests null hypothesis that there is no systematic difference within against alternatives assert a difference. based on statistic W, which smaller ranks sums. steps compute W consider positive negative differences omit all zero differences. In this...

Analysis of variance (ANOVA) is a common use parametric method to test the differences in means for more than two groups when populations are normally distributed. ANOVA highly inefficient under influence non- normal and heteroscedastic settings. When assumptions violated, researchers looking alternative such as Kruskal-Wallis nonparametric or robust method. This study focused on flexible method, S1 statistic comparing using median location estimator. was modified by substituting with...

The objective of this study is to investigate the performance two-sample pseudo-median based procedure in testing differences between groups. modification one-sample Wilcoxon using group values as central measure location. test was conducted on two groups setting with moderate sample sizes symmetric and asymmetric distributions. measured evaluated terms Type I error power rates obtained via Monte Carlo methods. were then compared alternative parametric nonparametric procedures namely Welch’s...

Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Nur Amira Zakaria, Suhaida Abdullah, Nor Aishah Ahad, Norhayati Yusof, Sharipah Soaad Syed Yahaya; The performance of robust correlation coefficient under contaminated bivariate data. AIP Conf. Proc. 25 October 2016; 1782 (1): 050017. https://doi.org/10.1063/1.4966107 Download citation file: Ris (Zotero)...

This paper investigates whether neonate gender determines the mode of maternal delivery. The Pearson correlation technique and t -statistic were applied to ascertain is a determinant rate delivery based on was also investigated. study relied secondary data from general hospital in Nigeria. consists 6,491 live births 2010 2017. analysis showed that 74.9% accounted for normal while 25.1% surgical births. 47.5% males 52.5% females 47.8% 52.2% delivered via mode. 47.6% 52.4% period under review....

This study investigates the behavioural switch and relationship of people (associates) towards a transiting chief executive officer (CEO). During tenure new CEO, rate patronage different categories seeking political economic relevance increases over time but as CEO’s wanes, pattern decreases. The sycophant curve model (SCM) was proposed to determine change at onset transitioning CEO CEO. Pearson correlation coefficient (PCC) also investigated. results revealed that during any associate...

In high dimensional small sample (HDSS) classification problems, the issue of relevant and irrelevant data, curse singularity, dimensionality persist. The presence variables has generated different problems in domain such as computational time, misclassification rate, performance evaluation criteria. covariance-dependent methods Fisher linear method (FLCM) are redundant such, independent rule (ICR) was coined to solve these problems. Yet, training validation ICR learned model depends on data...