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Stochastic comparisons between the extreme claim amounts from two heterogeneous portfolios in the case of transmuted-G model

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      <subfield code="a">Stochastic comparisons between the extreme claim amounts from two heterogeneous portfolios in the case of transmuted-G model</subfield>
      <subfield code="c">Hossein Nadeb, Hamzeh Torabi, Ali Dolati</subfield>
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      <subfield code="a">Annual premium is the amount paid by the policyholder as the cost of the insurance cover being purchased. Indeed, it is the primary cost to the policyholder for assigning the risk to the insurer and depends on the type of insurance. Determination of the annual premium is an important problem in insurance analysis. For this purpose, the smallest and the largest claim amounts provide useful information. An attractive problem for the actuaries is expressing preferences between random future gains or losses, (Barmalzan, Najafabadi, and Balakrishnan 2017). For this purpose, stochastic orderings are very helpful. Stochastic orderings have been extensively used in areas such as management science, financial economics, insurance, actuarial science, operation research, reliability theory, queuing theory, and survival analysis. For more details on stochastic orderings we refer to Müller and Stoyan (2002), Shaked and Shanthikumar (2007), and Li and Li (2013). The transmuted-G (TG) model, which was introduced by Mirhossaini and Dolati (2008) and Shaw and Buckley (2009), is an attractive model for constructing new flexible distributions. </subfield>
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      <subfield code="g">01/09/2020 Tomo 24 Número 3 - 2020 , p. 475-487</subfield>
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