Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap

2010 ◽  
pp. 309-314 ◽  
Author(s):  
Yusuke Komatsu ◽  
Shohei Shimizu ◽  
Hidetoshi Shimodaira
Keyword(s):  
Statistical Reliability

scholarly journals Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3307
Author(s):  
Nirbhay Mathur ◽  
Vijanth Sagayan Asirvadam ◽  
Azrina Abd Aziz
Keyword(s):  
Weibull Distribution ◽  
Reliability Assessment ◽  
Mechanical Damage ◽  
Control Valve ◽  
Reliability Models ◽  
Statistical Reliability ◽  
Processing Plants ◽  
Simulated Process ◽  
Pneumatic Control Valves ◽  
Log Normal

A reliability assessment is an important tool used for processing plants, since the facility consists of many loops and instruments attached and operated based on other availability; thus, a statistical model is needed to visualize the reliability of its operation. The paper focuses on the reliability assessment and prediction based on the existing statistical models, such as normal, log-normal, exponential, and Weibull distribution. This paper evaluates and visualizes the statistical reliability models optimized using MLE and considers the failure mode caused during a simulated process control operation. We simulated the failure of the control valve caused by stiction running with various flow rates using a pilot plant, which depicted the Weibull distribution as the best model to estimate the simulated process failure.

scholarly journals Leymann Inventory of Psychological Terror Scale: Development and Validation for Portuguese Accounting Professionals

Economies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 94
Author(s):  
Rui Silva ◽  
Margarida Simões ◽  
Ana Paula Monteiro ◽  
António Dias
Keyword(s):  
Structural Equation ◽  
Equation Model ◽  
Quantitative Methodology ◽  
Scale Development And Validation ◽  
Statistical Reliability ◽  
Accounting Professionals ◽  
Final Sample ◽  
Development And Validation ◽  
First Time ◽  
Descriptive Statistical Analysis

This research aims to adapt the Leymann Inventory of Psychological Terror and its use on Portuguese Accounting Professionals. Leymann scale was applied in a final sample of 478 accountants aged between 28 and 68, of which 47.5% were men and 52.5% women. We used a quantitative methodology by applying a questionnaire survey whose results were, in the following research phase, analyzed using the statistical packages SPSS 26 and AMOS 27. We used SPSS 26 for the Descriptive Statistical Analysis and AMOS 27 to estimate the structural equation model that validated the scale. After the scale had been adapted and changed, it was validated in psychometric terms to be applied to and used in studies involving this type of professionals. The Accountants Leymann Inventory of Psychological Terror that resulted from adapting the original model was tested using structural equation modelling. Thus, the new scale produced significant results similar to those of the original scale, which means that it is valid and can be applied to other contexts. The validity and statistical reliability of the new scale made it possible to measure mobbing problems among accounting professionals reliably and robustly. The present research is an important contribution to the literature. Although it has been applied in several contexts, it is the first time it is being developed, adapted, and validated for accounting professionals who work in this area of management.

scholarly journals Reliability Limits Of The Modified Thomas Test For Assessing Rectus Femoris Muscle Flexibility About The Knee Joint

2008 ◽  
Vol 43 (5) ◽  
pp. 470-476 ◽  
Author(s):  
Jason D. Peeler ◽  
Judy E. Anderson
Keyword(s):  
Knee Joint ◽  
Intraclass Correlation ◽  
Rectus Femoris ◽  
Scoring Systems ◽  
Nonparametric Tests ◽  
Method Error ◽  
Statistical Reliability ◽  
Active Population ◽  
Rectus Femoris Muscle ◽  
Femoris Muscle

Abstract Context: The modified Thomas test is commonly used in the clinical setting to assess flexibility about the thigh region. Objective: To evaluate the clinical reliability of the modified Thomas test for evaluating the flexibility of the rectus femoris muscle about the knee joint. Design: Descriptive laboratory study using a test-retest design. Setting: Institution-based clinical orthopaedic setting. Patients Or Other Participants: Fifty-seven individuals between the ages of 18 and 45 years with no history of trauma participated. Of those, 54 completed the study. Intervention(s): Three Board-certified athletic therapists with an average of 12.67 years of sport medicine expertise assessed rectus femoris flexibility using pass/fail and goniometer scoring systems. A retest session was completed 7 to 10 days later. Main Outcome Measure(s): Parametric and nonparametric tests were used to compare participants' test-retest results. Results: Chance-corrected κ values (intrarater x¯  =  0.40, 95% confidence interval [CI]  =  0.30, 0.54; interrater x¯  =  0.33, 95% CI  =  0.23, 0.41) indicated generally poor levels of reliability for pass/fail scoring. Intraclass correlation coefficient (ICC) values (intrarater x¯  =  0.67, 95% CI  =  0.55, 0.76; interrater x¯  =  0.50, 95% CI  =  0.40, 0.60) indicated fair to moderate levels of reliability for goniometer data. Measurement error values (standard error of measurement  =  7°, method error  =  6°, and coefficient of variation  =  13%) and Bland-Altman plots (with 95% limits of agreement) further demonstrated the degree of intrarater variance for each examiner when conducting the test. Conclusions: These results call into question the statistical reliability of the modified Thomas test and provide clinicians with important information regarding its reliability limits when used to clinically assess flexibility of the rectus femoris muscle about the knee joint in a physically active population. More research is needed to ascertain the variables that may confound the statistical reliability of this orthopaedic technique.

scholarly journals Statistical Reliability of 10 Years of Cyber Security User Studies

2021 ◽  
pp. 171-190
Author(s):  
Thomas Groß
Keyword(s):  
Publication Bias ◽  
Cyber Security ◽  
Power Distribution ◽  
Statistical Power ◽  
Total Sample ◽  
User Studies ◽  
Effect Sizes ◽  
Standard Errors ◽  
Statistical Reliability ◽  
Statistical Inferences

AbstractBackground. In recent years, cyber security user studies have been appraised in meta-research, mostly focusing on the completeness of their statistical inferences and the fidelity of their statistical reporting. However, estimates of the field’s distribution of statistical power and its publication bias have not received much attention.Aim. In this study, we aim to estimate the effect sizes and their standard errors present as well as the implications on statistical power and publication bias.Method. We built upon a published systematic literature review of 146 user studies in cyber security (2006–2016). We took into account 431 statistical inferences including t-, $$\chi ^2$$ χ 2 -, r-, one-way F-tests, and Z-tests. In addition, we coded the corresponding total sample sizes, group sizes and test families. Given these data, we established the observed effect sizes and evaluated the overall publication bias. We further computed the statistical power vis-à-vis of parametrized population thresholds to gain unbiased estimates of the power distribution.Results. We obtained a distribution of effect sizes and their conversion into comparable log odds ratios together with their standard errors. We, further, gained funnel-plot estimates of the publication bias present in the sample as well as insights into the power distribution and its consequences.Conclusions. Through the lenses of power and publication bias, we shed light on the statistical reliability of the studies in the field. The upshot of this introspection is practical recommendations on conducting and evaluating studies to advance the field.

Sign in / Sign up

Export Citation Format

Share Document