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Author(s):  
Simona Guerzoni ◽  
Carlo Baraldi ◽  
Umberto Pensato ◽  
Valentina Favoni ◽  
Flavia Lo Castro ◽  
...  

2022 ◽  
pp. 100065
Author(s):  
Elisa Burdino ◽  
Francesco Cerutti ◽  
Maria Grazia Milia ◽  
Tiziano Allice ◽  
Gabriella Gregori ◽  
...  
Keyword(s):  

2022 ◽  
Vol Volume 15 ◽  
pp. 79-88
Author(s):  
Luis A Pérez de Llano ◽  
Borja G Cosío ◽  
Ignacio Lobato Astiárraga ◽  
Gregorio Soto Campos ◽  
Miguel Ángel Tejedor Alonso ◽  
...  

2022 ◽  
pp. 171-189
Author(s):  
Arpita Chatterjee ◽  
Santu Ghosh

This chapter provides a brief review of the existing resampling methods for RSS and its implementation to construct a bootstrap confidence interval for the mean parameter. The authors present a brief comparison of these existing methods in terms of their flexibility and consistency. To construct the bootstrap confidence interval, three methods are adopted, namely, bootstrap percentile method, bias-corrected and accelerated method, and method based on monotone transformation along with normal approximation. Usually, for the second method, the accelerated constant is computed by employing the jackknife method. The authors discuss an analytical expression for the accelerated constant, which results in reducing the computational burden of this bias-corrected and accelerated bootstrap method. The usefulness of the proposed methods is further illustrated by analyzing real-life data on shrubs.


2021 ◽  
Vol 13 (3) ◽  
pp. 116-120
Author(s):  
Murat Bektaş ◽  
Çiğdem Çetin ◽  
Çağrı Burak Uğurlu ◽  
Fatih Kemik ◽  
Ahmet Can Çiftçi ◽  
...  

Author(s):  
Yulia Razmetaeva

The article is devoted to the problem of concluding a new social contract in the digitalage, taking into account the its peculiarities and the complex challenges in the field of business andhuman rights. The issues of the need to renegotiate such an agreement, the composition of the partiesand its basic conditions are considered. It is emphasized that the almost uncontrolled activities andgrowing power of companies are not the only, but one of the most important reasons for revisingthe contract.The article argues that the features of the digital age that affect the reasons for the conclusionand content of a new social contract are as follows: a significant part of all activities of entities takesplace in cyberspace or has an online component; digital tools are extremely common in both publicand private life; data become key to any economic, social, political activity; the amount of data ishuge, and the speed of their spread is incredibly high; the development of societies is uneven, andit is exacerbated by the digital divide; the power of business structures is growing, including theirability to modify the behavior of users of digital tools.The main threats to the existing social contract are a significant imbalance between the rights andobligations of the parties, the ineffectiveness of instruments to control its observance, the asymmetryof power, and the formation of a regulatory framework by companies against their role in the privatesector. Attempts to include business in the treaty, leaving human rights and justice at the center,including legitimacy and the negotiation of conditions with equal participation of individuals, civilsociety, companies and governments, are considered.The reasons for the potential loss of power of the existing social contract in the digital age are given,including the examples exacerbated by the COVID-19 pandemic. The article emphasizes the need toreconcile the responsibilities of participants, as well as to take into account the consequences of the


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Mathil K. Thamer ◽  
Raoudha Zine

We have studied one of the most common distributions, namely, Lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems. We studied this distribution with three parameters because of its high flexibility in modelling life data. The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and Cramér-von Mises. Simulation experiments were performed with different sample sizes and different parameter values. The different methods were compared on the generated data by mean square error and mean absolute error. In addition, we compared the methods for real data, which represent COVID-19 data in Iraq/Anbar Province.


Cureus ◽  
2021 ◽  
Author(s):  
Hasan Hashem ◽  
Momen Zeineddin ◽  
Rayan Bater ◽  
Nisreen Amayiri ◽  
Wiam Al-Qasem ◽  
...  

Author(s):  
Annelotte G.C. Broekhoven ◽  
Marta Fiocco ◽  
Dave Sprengers ◽  
R. Bart Takkenberg ◽  
Suzanne van Meer ◽  
...  

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