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RELATIONS OF DAGUM DISTRIBUTION BASED ON DUAL GENERALIZED ORDER STATISTICS

  • KUMAR, DEVENDRA
    • Journal of applied mathematics & informatics
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    • v.35 no.5_6
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    • pp.477-493
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    • 2017
  • The dual generalized order statistics is a unified model which contains the well known decreasingly ordered random variables like order statistics and lower record values. With this definition we give simple expressions for single and product moments of dual generalized order statistics from Dagum distribution. The results for order statistics and lower records are deduced from the relations derived and some computational works are also carried out. Further, a characterizing result of this distribution on using the conditional moment of the dual generalized order statistics is discussed. These recurrence relations enable computation of the means, variances and covariances of all order statistics for all sample sizes in a simple and efficient manner. By using these relations, we tabulate the means, variances, skewness and kurtosis of order statistics and record values of the Dagum distribution.

Order Picking Performance : Strategies, Issues, and Measures (오더피킹 성능 : 전략, 이슈, 측도)

  • Park, Byung-Chun
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.4
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    • pp.271-278
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    • 2011
  • This paper is to review and organize performance strategies, issues, and measures for the efficient operation of order picking function. Order picking is the process of retrieving items from storage to meet a specific customer order, which is known to be the most labor-intensive and costly function among all the warehouse functions. This function is also important in that it has a critical impact on downstream customer service. For understanding the background of order picking and related performance issues, we will briefly introduce warehousing functions. Then we will introduce material handling within a warehouse and order picking strategies. Lastly, we will discuss about performance issues and measures in the domain of order picking operations. Productive and quality measures will be reviewed in more detail.

Changes of Gagye Hair Style Reflected on Gache Prohibition Order in Chosun Dynasty

  • Yim, Lynn;Kim, Eun-Jung
    • International Journal of Human Ecology
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    • v.7 no.1
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    • pp.67-76
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    • 2006
  • This study delves into the Gache Prohibition Order during the Chosun Dynasty and researches the changes of the Gagye style caused by Gache Prohibition Order comparing both the pre-prohibition order and post-prohibition order and analyzing its related remains, old documents, and other researches about the Gache Prohibition order. The Gache Prohibition order during the Chosun Dynasty had contributed to the changes of the Gagye styles such as Sseu-gye, Hwan-gye, and Eoneun hair styles. Dae-su and Eo-yu-mi Gache in Sseu-gye style had been rarely used while Hwa-gwan and Jok-du-ri were often used in the Sseu-gye style. In the Hwan-gye style, Hwan-gye of Geo-du-mi was replaced with wood. Form and bulk in Eoneun hair had been minimized and changed into new types of The Gache Prohibition order of the Chosun Dynasty had affected the Gagye style in the following ways: First, in the aspect of style, the Gagye style was used to decrease volume. Second, the Practical science of the Chosun Dynasty had affected clothing in terms of actuality, convenience, simplicity, and openness. Third, the Gache Prohibition Order affected the Gagye style as well as the re-understanding of the beauty of clothing.

Evaluation of full-order method for extreme wind effect estimation considering directionality

  • Luo, Ying;Huang, Guoqing;Han, Yan;Cai, C.S.
    • Wind and Structures
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    • v.32 no.3
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    • pp.193-204
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    • 2021
  • The estimation of the extreme wind load (effect) under a mean recurrence interval (MRI) is an important task in the wind-resistant design for the structure. It can be predicted by either first-order method or full-order method, depending on the accuracy and complexity requirement. Although the first-order method with the consideration of wind directionality has been proposed, less work has been done on the full-order method, especially with the wind directionality. In this study, the full-order method considering the wind directionality is proposed based on multivariate joint probability distribution. Meanwhile, considering two wind directions, the difference of the corresponding results based on the first-order method and full-order method is analyzed. Finally, based on the measured wind speed data, the discrepancy between these two methods is investigated. Results show that the difference between two approaches is not obvious under larger MRIs while the underestimation caused by the first-order method can be larger than 15% under smaller MRIs. Overall, the first-order method is sufficient to estimate the extreme wind load (effect).

Protein Disorder/Order Region Classification Using EPs-TFP Mining Method (EPs-TFP 마이닝 기법을 이용한 단백질 Disorder/Order 지역 분류)

  • Lee, Heon Gyu;Shin, Yong Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.6
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    • pp.59-72
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    • 2012
  • Since a protein displays its specific functions when disorder region of protein sequence transits to order region with provoking a biological reaction, the separation of disorder region and order region from the sequence data is urgently necessary for predicting three dimensional structure and characteristics of the protein. To classify the disorder and order region efficiently, this paper proposes a classification/prediction method using sequence data while acquiring a non-biased result on a specific characteristics of protein and improving the classification speed. The emerging patterns based EPs-TFP methods utilizes only the essential emerging pattern in which the redundant emerging patterns are removed. This classification method finds the sequence patterns of disorder region, such sequence patterns are frequently shown in disorder region but relatively not frequently in the order region. We expand P-tree and T-tree conceptualized TFP method into a classification/prediction method in order to improve the performance of the proposed algorithm. We used Disprot 4.9 and CASP 7 data to evaluate EPs-TFP technique, the results of order/disorder classification show sensitivity 73.6, specificity 69.51 and accuracy 74.2.

SECOND ORDER DUALITY IN VECTOR OPTIMIZATION OVER CONES

  • Suneja, S.K.;Sharma, Sunila;Vani, Vani
    • Journal of applied mathematics & informatics
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    • v.26 no.1_2
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    • pp.251-261
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    • 2008
  • In this paper second order cone convex, second order cone pseudoconvex, second order strongly cone pseudoconvex and second order cone quasiconvex functions are introduced and their interrelations are discussed. Further a MondWeir Type second order dual is associated with the Vector Minimization Problem and the weak and strong duality theorems are established under these new generalized convexity assumptions.

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Moments of Order Statistics from Doubly Truncated Linear-Exponential Distribution

  • Saran, Jagdish;Pushkarna, Narinder
    • Journal of the Korean Statistical Society
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    • v.28 no.3
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    • pp.279-296
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    • 1999
  • In this paper we establish some recurrence relations for both single and product moments of order statistics from a doubly truncated linear- exponential distribution with increasing hazard rate. These recurrence relations would enable one to compute all the higher order moments of order statistics for all sample sizes from those of the lower order in a simple recursive way. In addition, percentage points of order statistics are also discussed. These generalize the corresponding results for the linear- exponential distribution with increasing hazard rate derived by Balakrishnan and Malik(1986)

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On Distribution of Order Statistics from Kumaraswamy Distribution

  • Garg, Mridula
    • Kyungpook Mathematical Journal
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    • v.48 no.3
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    • pp.411-417
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    • 2008
  • In the present paper we derive the distribution of single order statistics, joint distribution of two order statistics and the distribution of product and quotient of two order statistics when the independent random variables are from continuous Kumaraswamy distribution. In particular the distribution of product and quotient of extreme order statistics and consecutive order statistics have also been obtained. The method used is based on Mellin transform and its inverse.

FUZZY PARTIAL ORDER RELATIONS AND FUZZY LATTICES

  • Chon, Inheung
    • Korean Journal of Mathematics
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    • v.17 no.4
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    • pp.361-374
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    • 2009
  • We characterize a fuzzy partial order relation using its level set, find sufficient conditions for the image of a fuzzy partial order relation to be a fuzzy partial order relation, and find sufficient conditions for the inverse image of a fuzzy partial order relation to be a fuzzy partial order relation. Also we define a fuzzy lattice as fuzzy relations, characterize a fuzzy lattice using its level set, show that a fuzzy totally ordered set is a distributive fuzzy lattice, and show that the direct product of two fuzzy lattices is a fuzzy lattice.

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