Gaois

Cóip statach de shonraí a easpórtáiltear ó IATE ó am go chéile atá sa chnuasach seo. Níor cheart glacadh leis gurb ionann i gcónaí an t-eolas a thugtar faoi iontráil anseo agus a bhfuil sa leagan reatha den iontráil ar IATE. Is féidir an leagan reatha sin a cheadú ach cliceáil ar an nasc atá ar thaobh na láimhe deise ag barr gach iontrála. Breis eolais »

2 thoradh

  1. EDUCATION AND COMMUNICATIONS|information technology and data processing
    stóinseacht Tagairt Faomhadh an téarma seo mar chuid de Thionscadal Lex
    ga
    Comhthéacs 'Spreagtar na Ballstáit chun comhordú, malartú agus comhoibriú níos mó lena chéile chun a gcumais straitéiseacha, oibríochtúla, taighde agus forbartha a mhéadú i réimse na cibearshlándála, go háirithe trí chur chun feidhme na treorach maidir le slándáil líonra agus faisnéise, dá dtagraítear i dTreoir (AE) 2016/1148 ó Pharlaimint na hEorpa agus ón gComhairle (27), chun slándáil agus stóinseacht a gcuid riaracháin phoiblí agus a seirbhísí poiblí a neartú. Spreagtar na Ballstáit chun cur le slándáil na n-idirbheart agus chun leibhéal leordhóthanach muiníne a áirithiú sna modhanna leictreonacha trí úsáid a bhaint as creat eIDAS agus go háirithe leibhéil dearbhaithe leordhóthanacha.' Tagairt "Rialachán (AE) 2018/1724 maidir le pointe rochtana aonair digiteach a bhunú chun rochtain ar fhaisnéis, nósanna imeachta agus seirbhísí cúnaimh agus réitigh fadhbanna a sholáthar agus lena leasaítear Rialachán (AE) Uimh. 1024/2012, CELEX:32018R1724/GA"
    Robustheit
    de
    Sainmhíniú Qualitätsmerkmal einer Sofware (Aspekt der Zuverlässigkeit) die gewährleistet wird, wenn möglichst viele, funktional falsche Eingaben zu Fehlermeldungen führen(1);Grad in dem ein Produkt eine wohlverständliche Reaktion bei nicht vorgesehener Verwendung erbringt und seine Funktionsfähigkeit bewahrt(2) Tagairt :HMD 105,82,5;:Balzert,1984,S.13
    robustness
    en
    Sainmhíniú ability of a computer system to cope with errors during execution and cope with erroneous input Tagairt "'Robustness (computer science)'. Wikipedia, https://en.wikipedia.org/wiki/Robustness_(computer_science) [12.12.2017]"
    robustesse
    fr
    Sainmhíniú mesure dans laquelle un logiciel peut continuer à être exploité correctement malgré l'introduction d'entrées non valables Tagairt CEI:IEEE
  2. ECONOMICS|economic analysis|statistics · SOCIAL QUESTIONS|health|pharmaceutical industry
    stóinseacht Tagairt Faomhadh an téarma seo mar chuid de Thionscadal Lex
    ga
    Robustheit
    de
    Sainmhíniú Unempfindlichkeit gegenüber Anwendungsvoraussetzungen Tagairt "Gabler Wirtschaftslexikon, Online-Ausgabe, s. v. ""robuste Statistik"", http://wirtschaftslexikon.gabler.de/Definition/robuste-statistik.html (3.7.2012)"
    robustness
    en
    Sainmhíniú sensitivity of the overall conclusions to various limitations of the data, assumptions, and analytic approaches to data analysis Tagairt "European Medicines Agency. 'ICH Topic E 9 Statistical Principles for Clinical Trials. Step 5. NOTE FOR GUIDANCE ON STATISTICAL PRINCIPLES FOR CLINICAL TRIALS' (13.4.2022) (CPMP/ICH/363/96)"
    Nóta "1) Many test procedures involving probability levels depend for their exactitude on assumptions concerning the generating mechanism, e.g.that the parent variation is normal (Gaussian). If the inferences are little affected by departure from those assumptions, e.g. if the significance points of a test vary little if the population departs quite substantially from the normality the test on the inferences are said to be robust. In a rather more general sense, a statistical procedure is described as robust if it is not very sensitive to departure from the assumptions on which it depends.2) In a clinical trial setting, robustness implies that the treatment effect and primary conclusions of the trial are not substantially affected when analyses are carried out based on alternative assumptions or analytic approaches. The interpretation of statistical measures of uncertainty of the treatment effect and treatment comparisons should involve consideration of the potential contribution of bias to the p-value, confidence interval, or inference."
    solidité | robustesse
    fr