scholarly journals Dispersive ordering and monotone failure rate distributions

1985 ◽  
Vol 17 (2) ◽  
pp. 472-474 ◽  
Author(s):  
J. Bartoszewicz

Recently many authors (e.g. Shaked (1982), Deshpande and Kochar (1983), Sathe (1984)) have established relations between the dispersive ordering and some other partial orderings of distributions. This note presents connections which the dispersive ordering has with monotone failure rate distributions.

1985 ◽  
Vol 17 (02) ◽  
pp. 472-474 ◽  
Author(s):  
J. Bartoszewicz

Recently many authors (e.g. Shaked (1982), Deshpande and Kochar (1983), Sathe (1984)) have established relations between the dispersive ordering and some other partial orderings of distributions. This note presents connections which the dispersive ordering has with monotone failure rate distributions.


2002 ◽  
Vol 16 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Dilip Roy

Barlow and Proschan presented some interesting connections between univariate classifications of life distributions and partial orderings where equivalent definitions for increasing failure rate (IFR), increasing failure rate average (IFRA), and new better than used (NBU) classes were given in terms of convex, star-shaped, and superadditive orderings. Some related results are given by Ross and Shaked and Shanthikumar. The introduction of a multivariate generalization of partial orderings is the object of the present article. Based on that concept of multivariate partial orderings, we also propose multivariate classifications of life distributions and present a study on more IFR-ness.


1998 ◽  
Vol 35 (1) ◽  
pp. 221-228 ◽  
Author(s):  
J. M. Fernandez-Ponce ◽  
S. C. Kochar ◽  
J. Muñoz-Perez

In this paper we introduce a quantile dispersion measure. We use it to characterize different classes of ageing distributions. Based on the quantile dispersion measure, we propose a new partial ordering for comparing the spread or dispersion in two probability distributions. This new partial ordering is weaker than the well known dispersive ordering and it retains most of its interesting properties.


1986 ◽  
Vol 18 (4) ◽  
pp. 1019-1022 ◽  
Author(s):  
A. N. Ahmed ◽  
A. Alzaid ◽  
J. Bartoszewicz ◽  
S. C. Kochar

Recently many authors have established connections between dispersive ordering and some other partial orderings of distributions. This paper presents the connection which superadditive ordering has with dispersive ordering.


1986 ◽  
Vol 18 (04) ◽  
pp. 1019-1022 ◽  
Author(s):  
A. N. Ahmed ◽  
A. Alzaid ◽  
J. Bartoszewicz ◽  
S. C. Kochar

Recently many authors have established connections between dispersive ordering and some other partial orderings of distributions. This paper presents the connection which superadditive ordering has with dispersive ordering.


1998 ◽  
Vol 35 (01) ◽  
pp. 221-228 ◽  
Author(s):  
J. M. Fernandez-Ponce ◽  
S. C. Kochar ◽  
J. Muñoz-Perez

In this paper we introduce a quantile dispersion measure. We use it to characterize different classes of ageing distributions. Based on the quantile dispersion measure, we propose a new partial ordering for comparing the spread or dispersion in two probability distributions. This new partial ordering is weaker than the well known dispersive ordering and it retains most of its interesting properties.


2012 ◽  
Vol 18 (69) ◽  
pp. 237
Author(s):  
فاتن فاروق البدري ◽  
علا علي فرج

تهدف دراسة التوزيعات الإحصائية إلى الحصول على التوصيفات الأفضل لمجموعة المتغيرات والظواهر والتي كل منها يمكن أن يسلك سلوك واحد من هذه التوزيعات. وتعد دراسة عمليات التقدير لمعلمات هذه  التوزيعات من الأمور المهمة والتي لا غنى عنها في دراسة سلوك هذه المتغيرات ونتيجة لذلك جاء هذا البحث محاولة للوصول إلى أفضل طريقة تقدير معلمات توزيع هو واحد من أهم التوزيعات الإحصائية وهو التوزيع الخطي العام لمعدلات الفشل، (Generalized Linear Failure Rate Distribution) وذلك من خلال دراسة الجوانب النظرية بالاعتماد على طرق الاستدلال الإحصائي مثل طريقة الإمكان الأعظم وطريقة المربعات الصغرى وبالإضافة إلى الطريقة المختلطة(طريقة مقترحة) . وتضمن البحث إجراء المقارنات بين طرائق التقدير الثلاثة لمعلمات التوزيع الخطي العام لمعدلات الفشل (GLFRD)، بالاعتماد على مقياسين إحصائيين مهمين هما متوسط مربعات الخطأ (MSE)، ومتوسط الخطأ النسبي المطلق (MAPE)، للحصول على طريقة التقدير الأفضل.


2012 ◽  
Vol 3 (8) ◽  
pp. 1-6
Author(s):  
Dr. G.Ramesh Dr. G.Ramesh ◽  
◽  
Dr. B.K.N.Muthugobal Dr. B.K.N.Muthugobal
Keyword(s):  

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