The Annual Maximum Wind Speed at Pisa Airport in Italy

Chiou, Paul; Miao, Weiwen; Ho, Tzyy‐Chang

doi:10.7763/ijesd.2012.v3.227

Cited by 3 publications

(10 citation statements)

References 13 publications

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“…X je maksimum posmatranog procesa sastavljenog od n vremenskih jedinica [9]. Maksimalni godišnji protok predstavlja se obično Gumbelovom raspodelom [1].…”

Section: Funkcije Raspodele Ekstremnih Vrednostiunclassified

“…The cdf of the GEV distribution is given by [5], [6] [9], (12) gde α predstavlja parametar razmere, ε je lokacijski parametar, a k je parametar oblika. Treba imati na umu da za k < 0, GEV raspodela predstavlja EV2 raspodelu i ona je definisana samo za x > (ε + α/k); za k > 0, ovaj model postaje EV3 raspodela, i ona je definisana samo za x < (ε + α/k); slučaj da je k = 0 odgovara Gumbelovoj raspodeli jednačina (1) s parametrom razmere α i parametrom lokacije [7].…”

Section: General Extreme Value Distributionunclassified

“…Nije primenljiv na diskretne varijable. Test statistika, kod dvostranog testa, jeste maksimalna apsolutna vrednost razlike (što je obično vertikalno rastojanje) između empirijske i hipotetičke funkcije raspodele [8], [9].…”

Section: Test Statističkih Hipoteza Kolmogorov-smirnovaunclassified

“…The test statistic, in a two-sided test, is the maximum absolute difference (that is, usuallythe vertical distance) between the empirical and hypothetical cdfs. [8], [9].…”

Section: Kolmogorov-smirnov Goodness Of Fit Testmentioning

confidence: 99%

“…Then X is the maximum of the observed process over n time units [9] . The annual maximum streamflows is often represented by the Gumbel distribution [1].…”

Section: Extreme Value Distributionsmentioning

confidence: 99%

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Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina

Kovacevic¹,

Marković²,

Babić³

2014

Gra mat konstru

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UVODGrađevinski inženjeri često se bave prirodnim rizicima. Ekstremni događaji, kao što su poplave, uragani, zemljotresi, mogu odneti mnogo ljudskih života i izazvati štete od više milijardi dolara.Paradoksalno, takođe je potrebno znati posledice i neuobičajeno niskih protoka, koji mogu da rezultuju visokim koncentracijama zagađivača. I pored toga, inženjeri moraju da projektuju građevinske konstrukcije tako da mogu da izdrže ekstremne poplave, jake vetrove, a konstrukcije na moru da izdrže neuobičajeno visoke talase. Opstanak datog sistema zavisiće od sposobnosti da izdrže ove ekstremne uslove kojima su izloženi, a koji nisu uobičajene vrednosti [7]. Ciljevi ovoga rada jesu (i) modeliranje godišnjeg maksimalnog protoka na reci Rasini, na jugu centralne Srbije, sa Gumbelovom, Frešetovom i GEV raspodelom,(ii) upotreba Kolmogorov-Smirnov testa i AndersonDarling testa prilikom testiranja i upoređivanja empirijskih i teorijskih funkcija raspodele koje predviđaju ove tri raspodele, (iii) nalaženje potrebnih projektnih vrednosti za dati povratni period.

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“…X je maksimum posmatranog procesa sastavljenog od n vremenskih jedinica [9]. Maksimalni godišnji protok predstavlja se obično Gumbelovom raspodelom [1].…”

Section: Funkcije Raspodele Ekstremnih Vrednostiunclassified

Section: General Extreme Value Distributionunclassified

Section: Test Statističkih Hipoteza Kolmogorov-smirnovaunclassified

“…The test statistic, in a two-sided test, is the maximum absolute difference (that is, usuallythe vertical distance) between the empirical and hypothetical cdfs. [8], [9].…”

Section: Kolmogorov-smirnov Goodness Of Fit Testmentioning

confidence: 99%

“…Then X is the maximum of the observed process over n time units [9] . The annual maximum streamflows is often represented by the Gumbel distribution [1].…”

Section: Extreme Value Distributionsmentioning

confidence: 99%

See 3 more Smart Citations

Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina

Kovacevic¹,

Marković²,

Babić³

2014

Gra mat konstru

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The variability and trends of monthly maximum wind speed over Iran

Ghaedi¹

2019

Időjárás

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⎯ The maximum wind speed trends over Iran were analyzed based on the data recorded at 49 synoptic stations in Iran, including at least 40 years of data. The regions with maximum winds in Iran are most often seen in the Zagros Mountain. The nonparametric Mann-Kendall test at 95 % level of significance was used to survey whether there is a trend for the maximum wind speed data. Sen's slope estimator was also used to determine the magnitude of the trends. The results reveal that the rate of positive trend is much higher than the negative trend and, in some months, it reaches more than 57% throughout the territory of Iran. Line slope is positive in 86.7% of the country's area. The increasing wind speed can have significant negative impacts on installations and structures, erosion, human health, evapotranspiration, and wind energy.

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Perceptive Biases in Construction Mediation: Evidence and Application of Artificial Intelligence

Cao,

Cheung,

2023

Buildings

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In light of advancements in big data analysis and artificial intelligence (AI), there are emerging opportunities to harness these technologies to address perceptive biases. This study examines the potential perceptive biases that may arise when construction mediation is quasi-imposed on the disputing parties. This can happen when mediation attempts are stipulated in the construction contract or court-directed. It is argued that, under such circumstances, a negative perception might arise over whether a bona fide mediation can be realised. Concerns include the fairness and timeliness of the process, as well as the practice of opportunistic mediating behaviours. With data collected from practising construction mediation practitioners in Hong Kong, the constructs of Perceptions of Bona Fide Mediation, Quasi-Imposition, and Positive Mediation Outcomes were first developed. Applying partial least square structural equation modelling to the relationship frameworks of the constructs, it was found that quasi-imposition is not as damaging as envisaged as far as having a bona fide mediation and attaining positive mediation outcomes are concerned. Moreover, a negative perception of the fairness and timeliness of the quasi-imposed mediation would jeopardise the integrity of a bona fide mediation. In this regard, utilizing NLP and machine learning algorithms offers a pioneering AI-driven approach to informing mediating parties, as well as reminding mediators to uphold the fairness and timeliness of the process for the purposes of reaching positive mediation outcomes.

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The Annual Maximum Wind Speed at Pisa Airport in Italy

Cited by 3 publications

References 13 publications

Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina

Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina

The variability and trends of monthly maximum wind speed over Iran

Perceptive Biases in Construction Mediation: Evidence and Application of Artificial Intelligence

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