The Application Of Statistical Techniques To Insulation Aging Test

1983 ◽  
pp. 67-85
Author(s):  
Hussein Ahmad

Kertas kerja int membentangkan cara-eara untuk mendapatkan maklumat hayat dan daya ketahanan sesuatu penebat. Maklumat dan data-data yang diperolehi masih lagi dalam keraguan atau belum boleh dibuar ketetapan disebabkan oleh perselisihan perangkaan pada keputusan ujian, justeru itu keputusan daripada ujian-ujian dinilai dengan menggunakan kaedah-kaedah perangkaan. Kaedah-kaedah ini ialah grafik dan kebolehjadian maksima. Dibentangkan juga di sini perbandingan di antara kedua-dua kaedah tersebut. Bahan penebat padat yang digunakan untuk ujikaji ini adalah polychloroprene (P.V.C) dan polypropylene. In this paper, methods for obtaining the information on the life and endurance of the insulating materials are presented. The information obtained is compounded by uncertainties due to statistical variance of the test results, hence the results of the tests are therefore evaluated by statistical techniques. These methods are known as graphical and Maximum Likelihood methods. Comparison between the two methods are presented here. The solid insulating materials subjected to test are polychloroprene (P.V.C.) and polypropylene.

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Alain Hecq ◽  
Li Sun

AbstractWe propose a model selection criterion to detect purely causal from purely noncausal models in the framework of quantile autoregressions (QAR). We also present asymptotics for the i.i.d. case with regularly varying distributed innovations in QAR. This new modelling perspective is appealing for investigating the presence of bubbles in economic and financial time series, and is an alternative to approximate maximum likelihood methods. We illustrate our analysis using hyperinflation episodes of Latin American countries.


Econometrica ◽  
1984 ◽  
Vol 52 (3) ◽  
pp. 681 ◽  
Author(s):  
C. Gourieroux ◽  
A. Monfort ◽  
A. Trognon

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