Bootstrap Confidence Intervals for Noise Indicators

Stępień, Bartłomiej

doi:10.3813/aaa.918955

Cited by 17 publications

(6 citation statements)

References 18 publications

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“…Numerous explanations have been put forth to explain the observed abrupt cut off. For example, Stepien (2006) proposed that the limit was due to the decrease in the efficiency of angular momentum loss with decreasing mass on the main sequence. In such cases the current age of the systems comprising the binary population produces the limit.…”

Section: Introductionmentioning

confidence: 99%

Ultra-Short Period Binaries From the Catalina Surveys

Drake

Djorgovski

García-Álvarez

et al. 2014

ApJ

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We investigate the properties of 367 ultra-short period binary candidates selected from 31,000 sources recently identified from Catalina Surveys data. Based on light curve morphology, along with WISE, SDSS and GALEX multi-colour photometry, we identify two distinct groups of binaries with periods below the 0.22 day contact binary minimum. In contrast to most recent work, we spectroscopically confirm the existence of M-dwarf+M-dwarf contact binary systems. By measuring the radial velocity variations for five of the shortest-period systems, we find examples of rare cool-white dwarf+M-dwarf binaries. Only a few such systems are currently known. Unlike warmer white dwarf systems, their UV flux and their optical colours and spectra are dominated by the M-dwarf companion. We contrast our discoveries with previous photometrically-selected ultra-short period contact binary candidates, and highlight the ongoing need for confirmation using spectra and associated radial velocity measurements. Overall, our analysis increases the number of ultra-short period contact binary candidates by more than an order of magnitude.

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Section: Introductionmentioning

confidence: 99%

Ultra-Short Period Binaries From the Catalina Surveys

Drake

Djorgovski

García-Álvarez

et al. 2014

ApJ

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“…There is no doubt that estimate of this parameter will be subject to uncertainty and an estimated result is complete only when it is accompanied by a statement of the associated uncertainty. The uncertainty of human noise exposure can be evaluated based on non-classical approach (Batko, Pawlik, 2012b;Stępień, 2016).…”

Section: Discussionmentioning

confidence: 99%

Recognition of the 24-hour Noise Exposure of a Human

Korbiel¹,

Stępień²,

Batko³

et al. 2017

Archives of Acoustics

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The civilisation progress has caused noise to become one of essential pathogenic and life comfort decreasing factors. There are several legal regulations aimed at controlling the noise influence on humans. Assessment of the twenty-four-hour influence of noises in various environments constitutes an essential problem. The answer can be supplied by 24-hour monitoring of the sound pressure. This paper is an attempt to learn the real loading of humans by noises. A personal noise indicator was used in measurements. The human 24-hour activity was divided into cycles allowing to model noise hazards. The collected data, even though they did not signal exceeding of individual standards, in the 24-hour period indicated the essential noise influence. These results indicate the need of investigations to recognise the 24-hour noise load of a human, with taking into account various forms of their activity and the need of rest.

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“…There are various methods for computing CI for the mean. In this study, three Bootstrap methods, standard normal (NORM), percentile (PER) and Bootstrap t-method (STUD), are analysed with a 95% CI probability (Betta et al 2006;Stepien 2016;Liguori et al 2017).…”

Section: Non-parametric Methodsmentioning

confidence: 99%

Comparative statistical analysis of simulated ice management effectiveness

Price

Yulmetova

Khalil

2019

Saf. Extreme Environ.

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Ice management is critical for safe and efficient operations in ice-covered waters; thus, it is important to understand the impact of the operator's experience in effective ice management performance. This study evaluated the confidence intervals of the mean and probability distributions of two different sample groups, novice cadets and experienced seafarers, to evaluate if there was a difference in effective ice management depending on the operator's level of experience. The ice management effectiveness, in this study, is represented by the "clearing-to-distance ratio" that is the ratio between the area of cleared ice (km 2 ) and the distance travelled by an ice management vessel (km) to maintain that cleared area. The data analysed in this study was obtained from a recent study conducted by Memorial University's "Safety at Sea" research group. With the distribution fitting analysis providing inconclusive results regarding the normality of the data, the confidence intervals of the dataset means were obtained using both parametric approaches, such as t-test, Cox's method, and Johnson t-approach, and non-parametric methods, namely Jackknife and Bootstrap methods, to examine if the assumption of normality was valid. The comparison of the obtained confidence interval results demonstrates that the mean efficiency of the cadets is more consistent, while it is more varied among seafarers. The noticeable difference in ice management performance between the cadet and seafarer sample groups is revealed, thus, proving that crew experience positively influences ice management effectiveness.Keywords Risk management of offshore operations . Confidence interval . Johnson t-approach . Cox's method . Bootstrap . Jackknife Safety in Extreme Environments (2020) 2:79-91 https://doi.

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Bootstrap Confidence Intervals for Noise Indicators

Cited by 17 publications

References 18 publications

Ultra-Short Period Binaries From the Catalina Surveys

Ultra-Short Period Binaries From the Catalina Surveys

Recognition of the 24-hour Noise Exposure of a Human

Comparative statistical analysis of simulated ice management effectiveness

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