Search Results - "non-parametric statistics"
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MAT264 – Non-parametric Statistics
Published 2022“…First Semester Examination 2021/2022 Academic Session February 2022 MAT264 – Non-parametric Statistics Duration : 2 hours 45 minutes…”
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The Healthy Ageing Unit: A comparative controlled intervention
Published 2005“…Results analysed using appropriate parametric and non-parametric statistics revealed that the Healthy Ageing Unit had a positive impact on the set of apnori determined patient outcomes. …”
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Factors analysis and construct validity of the public-private partnership (PPP) in managing arts, cultural and tourism sector
Published 2017“…The data gathered were analyzed through correlation and Non- parametric statistics analysis. The final outcome of the survey based on the dimensions constructed in the framework will be implemented in the real PPP collaboration projects…”
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Bridging the Arts, Tourism, and Cultural Sector through Public-Private Partnership Collaborations
Published 2015“…The data gathered were analyzed through correlation and Non-parametric statistics analysis. Thus, a new partnership model of Art, Tourism and Culture will be constructed to be used a guideline in the PPP collaboration projects.…”
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Effectiveness of problem-based learning-teaching algebra among form four students
Published 2011“…Data obtained from the performance test were analyzed using the non-parametric statistics (Mann-Whitney U Test) as the shape of the data distribution of population was not normal. …”
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Sikap pelajar terhadap online learning :|bsatu kajian kes di UNIMAS
Published 2002“…The data collected was analysed using descriptive statistics and inferential non-parametric statistics. Percentages were used to determine the distribution of gender while categories ofstudents , attitude were measured through score. …”
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The influence of academic and social factors on degree attainment in BSc Sport and Exercise Science
Published 2022“…The quantitative aspect of the research comprises statistical analysis of a five-year cohort of students who enrolled onto the course between 2011/12 and 2015/16 and used predominantly non-parametric statistics of categorical data. Multinomial logistic regression is used to model the relationship between the academic and social factors investigated (predictors) and degree outcomes. …”
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Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia
Published 2019“…The predicted river water levels from the four modified SVR models namely; the Ori-SVR (using original observed rainfall) model, the VMD-SVR (using VMD method) model, the B-SVR (using Boosting method) model, and the B-VMD-SVR (using Boosting-VMD method) model, were assessed against the observed river water levels, using non-parametric statistics (Model prediction errors’ range, standard deviation and confidence interval range) and parametric statistics (Bias, Root-Mean-Square Error, Mean Absolute Percentage Error, Nash-Sutcliffe Efficiency Coefficient and Mean Absolute Error) where appropriate, to assess the three data pre-processing techniques in enhancing the SVR model. …”
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Size effect, financial characteristics and insolvency profiles among the SMEs in Malaysia / Maran Marimuthu and Indraah Kolandaisamy
Published 2011“…A total sample of 229 businesses is considered consisting of small (57), medium (111) and large (61) SMEs. Non-parametric statistical techniques are used for empirical testing. …”
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Uncertainity in degradation rates for organic micro pollutants during full - scale sewage sludge composting
Published 2016“…This was done based on recently presented pollutant concentration data, measured under full-scale composting conditions using two different sampling methods for a range of organic pollutants commonly found in sewage sludge. Non-parametric statistical procedures were used to estimate CV values for K1 and C35/C0 for individual pollutants. …”
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Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. From the evaluation, the new version of dendrite cell algorithm was statistically proven to have improvement with a significant difference compared to its previous versions in all performance metrics.…”
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Factors that influence the use of e-procurement in manufacturing SMEs at Northern Region
Published 2014“…In this study, researchers used SPSS 20 to analyze the data and using non-parametric statistics to measure the influence and strength of the relationship between the independent variables.…”
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Foreign ownership, efficiency and solvency: analysis of takaful firms in the GCC region
Published 2015“…Subsequent investigation is conducted using non-parametric statistical measure (Mann Whitney U rank statistics) and latent growth curve modeling to determine the statistically significant differences between the two. …”
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Discrimination power of long-term heart rate variability measures for Chronic Heart Failure detection
Published 2011“…To assess the discrimination power of HRV measures, we adopted an exhaustive search of all possible combinations of HRV measures and we developed classifiers based on Classification and Regression Tree (CART) method, which is a non-parametric statistical technique. We found that the best combination of features is: Total spectral power of all NN intervals up to 0.4 Hz (TOTPWR), square Root of the Mean of the Sum of the Squares of Differences between adjacent NN intervals (RMSSD) and Standard Deviation of the Averages of NN intervals in all 5-minute segments of a 24-hour recording (SDANN). …”
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