1,722,221 research outputs found

    Transmuted Cosine Topp-Leone G Family Of Distributions: Properties And Applications

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    A new trigonometric generalized family of distribution, the "Transmuted Cosine Topp-Leone G Family" is proposed in this study. Established on the foundations of, this family combines the adaptability of the Topp-Leone distribution with the periodicity of the cosine function and transmutation theory to produce a flexible framework that may be used to represent a wide range of real-life phenomena. We derive some of the statistical properties of the introduced family such as; survival and hazard functions, and moment and moment-generating function. Moreover, the model parameters are estimated using the Maximum Likelihood method, and a Monte Carlo simulation was performed to ascertain the behavior and the consistency of the estimates. Lastly, we demonstrate the applicability of the family on the two-lifetime datasets

    The The Topp Leone-G Power Series Class of Distributions with Applications: Top-Leone-G Power Series Class of Distributions

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    We present a new class of distributions called the Topp-Leone-G Power Series (TL-GPS) class of distributions. This model is obtained by compounding the Topp-Leone-G distribution with the power series distribution. Statistical prop- erties of the TL-GPS class of distributions are obtained. Maximum likelihood estimates for the proposed model were obtained. A simulation study is carried out for the special case of Topp-Leone Log-Logistic Poisson distribution to assess the performance of the maximum likelihood estimates. Finally, we apply Topp-Leone-log-logistic Poisson distribution to real data sets to illustrate the usefulness and applicability of the proposed class of distributions

    A Method to Detect Subsurface Targets by Under-sampled Multifrequency Data

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    Imaging buried objects embedded within electrically large investigation domains can require a large amount of measurement points. Thus, the need to reduce the number of spatial measurement points arises. Here, a method for detecting and localising shallowly buried scattering targets from under-sampled multifrequency far-zone data is proposed and checked by numerical examples

    Il rapporto tra pensionabilità e disoccupazione alla prova della pandemia da Covid-19

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    Il saggio indaga l'utilizzo della pensione come ammortizzatore sociale, soprattutto in relazione ai ccdd. scivoli pensionistici, alla luce del blocco dei licenziamenti connesso alla pandemia da Covid-19

    How to study the benevolent over-helping. A methodological proposal to better understand an underexplored psycho- social phenomenon

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    The article advances a methodological proposal aimed at studying the benevolent over-helping, a relevant but under-studied socio-psychological phenomenon. The first part briefly reviews studies on helping relations. Only at the end of the Seventies researchers shifted their attention from the analysis of helping behaviours to receivers' psychology. Those innovative studies showed how help may become a threatening and sometimes detrimental event for receivers, both from a social and a psychological point of view. Starting from this theoretical shift, a new field of study on implicit ambivalences of helping relations developed. According to this new theoretical framework, the second part of the article proposes a detailed new methodology, aimed at observing the understudied phenomenon of benevolent over-helping. During a simulation game, an interactive situation is set, where a relevant adult (e.g. their teachers or parents) sides the child when solving three different problems, growing more and more complex. Researchers may therefore observe both the helping strategies acted by the adult and the child's reactions. This methodology allows us to catch emotional, social and communicative signals expressed by the adult as well by the child. Furthermore, it makes it possible to organize a video-feedback phase addressed to adults. Before the debriefing, adults may consider with researchers the unexpected and sometimes negative effects of their actions, originally meant for benevolent intentions. In order to evaluate the utility of this procedure, some examples of results are finally discussed

    I criteri di scelta nelle eccedenze di personale: dall’anzianità alla (prossima) pensionabilità

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    Il saggio indaga i rapporti fra eccedenze di personale e scivoli pensionistici alla luce del divieto di discriminazione per età

    The Exponentiated Generalized Topp Leone-G Family of Distributions: Properties and Applications

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    In this paper, we propose a new class of continuous distributions called the exponentiated generalized Topp Leone-G family that extends the Topp Leone-G family introduced by Al-Shomrani et al. (2016). We derive explicit expressions for certain mathematical properties of the new family such as; ordinary and incomplete moments, generating functions, reliability analysis, Lorenz and Bonferroni curves, Rényi entropy, stress strength model, moment of residual and reversed residual life, order statistics, extreme values and characterizations. We discuss the maximum likelihood estimates and the observed information matrix for the model parameters. Two real data sets are used to illustrate the flexibility of the new family

    The odd Weibull-Topp-Leone-G power series family of distributions: model, properties, and applications

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    A new generalization of the odd Weibull-Topp-Leone-G family of distributions called the odd Weibull-Topp-Leone-G power series family of distributions is developed. Statistical properties of the new distribution were derived. We also derive the maximum likelihood estimates of the proposed model. Some special cases for the new family of distributions were also considered. We conducted a simulation study to evaluate the consistency of the maximum likelihood estimates. Two real data examples were also considered to demonstrate the usefulness of the newly proposed family of distributions

    The Gompertz-Topp Leone-G Family of Distributions with Applications

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    We introduce a new family of distributions, referred to as the Gompertz-Topp-Leone-G (Gom-TL-G) distribution. The new family of distributions can be expressed as an infinite linear combination of the Exp-G distributions. It can handle extremely tailed data and has both monotonic and non-monotonic hazard rate functions. A simulation study is used to assess the estimation method. Some real data examples are analyzed for illustrative purposes
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