A revisit to Bai–Saranadasa's two-sample test

This study aims to prove whether transformational leadership training is effective for building anti-corruption attitudes of villages in Kebonharjo village, subdistrict Samigaluh Kulonprogo. This research is an experimental research with one group pre and posttest design.Subject design is 17 people from village of 21 candidates registered. Measuring tool used in this research is the scale of anti-corruption perception made by the researcher referring to the 9 anti-corruption values with the value of reliability coefficient of 0.871. The module used as an intervention made by the researcher refers to the transformational leadership dimension (Bass, 1990). The data collected is analyzed by statistical analysis of different test Paired Sample Test. Initial data collection results obtained sign value of 0.770 which means> 0.05 or no significant difference between anti-corruption perception score between before and after training. After a period of less than 1 (one) month then conducted again the measurement of follow-up of the study subjects in the measurement again using the scale of anti-corruption perception. The results of the second data collection were analysed with Paired Samples Test and obtained the value of 0.623 sign meaning p> 0.05 or no significant difference between post test data with follow-up data so that the hypothesis of this study was rejected.

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Form development sample test matrix

10.2172/15013105 ◽

1999 ◽

Author(s):

B B Ebbinghaus

Keyword(s):

Test Matrix ◽

Sample Test ◽

Form Development

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A Hypothesis Test for the Goodness-of-Fit of the Marginal Distribution of a Time Series with Application to Stablecoin Data

Engineering Proceedings ◽

10.3390/engproc2021005010 ◽

2021 ◽

Vol 5 (1) ◽

pp. 10

Author(s):

Mark Levene

Keyword(s):

Time Series ◽

Goodness Of Fit ◽

Marginal Distribution ◽

Hypothesis Test ◽

Data Sets ◽

Test Statistic ◽

Sample Test ◽

Kolmogorov Smirnov ◽

Heavy Tailed ◽

Jensen Shannon Divergence

A bootstrap-based hypothesis test of the goodness-of-fit for the marginal distribution of a time series is presented. Two metrics, the empirical survival Jensen–Shannon divergence (ESJS) and the Kolmogorov–Smirnov two-sample test statistic (KS2), are compared on four data sets—three stablecoin time series and a Bitcoin time series. We demonstrate that, after applying first-order differencing, all the data sets fit heavy-tailed α-stable distributions with 1<α<2 at the 95% confidence level. Moreover, ESJS is more powerful than KS2 on these data sets, since the widths of the derived confidence intervals for KS2 are, proportionately, much larger than those of ESJS.

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Analysis of Factors Giving the Opportunity for Implementation of Innovations on the Example of Manufacturing Enterprises in the Silesian Province

Sustainability ◽

10.3390/su11205850 ◽

2019 ◽

Vol 11 (20) ◽

pp. 5850 ◽

Cited By ~ 3

Author(s):

Henryk Wojtaszek ◽

Ireneusz Miciuła

Keyword(s):

Competitive Advantage ◽

Descriptive Statistics ◽

Survey Questionnaire ◽

Manufacturing Companies ◽

Incentive Systems ◽

Independence Test ◽

Chi Square ◽

Manufacturing Enterprises ◽

Sample Test ◽

Implementation Of Innovations

This paper analyzes the actions that improve innovativeness in production enterprises in the Silesian province. Innovation is one of the elements that allows to achieve a competitive advantage. It is justified to research various factors that are important in improving innovativeness. The research includes selected production enterprises in the Silesian province, adopting the descriptive statistics measures and statistic tests: random sample test, chi-square independence test and the non-parametric Kruskal-Wallis test based on a survey questionnaire. Some of the most important factors determining the possibilities of innovation by manufacturing companies were detected contacts with other enterprises, R&D centers and counseling institutions, competitive position of the company, and creating appropriate incentive systems.

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Comparison and Application of Metrics That Define the Components Modularity in Complex Products

Volume 4: 20th International Conference on Design Theory and Methodology; Second International Conference on Micro- and Nanosystems ◽

10.1115/detc2008-49140 ◽

2008 ◽

Cited By ~ 5

Author(s):

Qi D. Van Eikema Hommes

Keyword(s):

Social Network ◽

Centrality Measures ◽

Software Systems ◽

Network Centrality ◽

Good Pair ◽

Centrality Metrics ◽

The Social ◽

Social Network Centrality ◽

Sample Test

As the content and variety of technology increases in automobiles, the complexity of the system increases as well. Decomposing systems into modules is one of the ways to manage and reduce system complexity. This paper surveys and compares a number of state-of-art components modularity metrics, using 8 sample test systems. The metrics include Whitney Index (WI), Change Cost (CC), Singular value Modularity Index (SMI), Visibility-Dependency (VD) plot, and social network centrality measures (degree, distance, bridging). The investigation reveals that WI and CC form a good pair of metrics that can be used to assess component modularity of a system. The social network centrality metrics are useful in identifying areas of architecture improvements for a system. These metrics were further applied to two actual vehicle embedded software systems. The first system is going through an architecture transformation. The metrics from the old system revealed the need for the improvements. The second system was recently architected, and the metrics values showed the quality of the architecture as well as areas for further improvements.

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Reliability evaluation of key hydraulic components for actuators of FAST based on small sample test

International Journal of Precision Engineering and Manufacturing ◽

10.1007/s12541-017-0185-2 ◽

2017 ◽

Vol 18 (11) ◽

pp. 1561-1566 ◽

Cited By ~ 3

Author(s):

Ming Zhu ◽

Jingyi Zhao ◽

Qiming Wang

Keyword(s):

Reliability Evaluation ◽

Small Sample ◽

Sample Test

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Transmission Network Expansion Planning with Security Constraints and Uncertainty in Load Specifications

International Journal of Emerging Electric Power Systems ◽

10.2202/1553-779x.1921 ◽

2008 ◽

Vol 9 (4) ◽

Cited By ~ 4

Author(s):

Ashu Verma ◽

Pradeep R. Bijwe ◽

Bijaya Ketan Panigrahi

Keyword(s):

Power Flow ◽

Planning Problem ◽

Transmission Network ◽

Network Expansion ◽

Security Issues ◽

Expansion Planning ◽

Dc Power ◽

Sample Test ◽

Binary Genetic Algorithm ◽

Long Range Planning

Transmission network expansion planning is a very critical problem due to not only the huge investment cost involved, but also the associated security issues. Any long range planning problem is confronted with the challenge of non-statistical uncertainty in the data. Although large number of papers have been published in this area, the efforts to tackle the above mentioned security and uncertainty issues have been relatively very few, due to the formidable complexity involved. This paper tries to bridge this gap by proposing a technique to tackle these problems. Boundary DC power flow is used to ascertain the worst power flows on the lines. A simple basic binary Genetic algorithm is used to solve the optimization problem as an illustration. Results for two sample test systems have been obtained to demonstrate the potential of the proposed method.

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