• Title/Summary/Keyword: Uniform Consistency

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UNIFORM ASYMPTOTICS IN THE EMPIRICAL MEAN RESIDUAL LIFE PROCESS

  • Bae, Jong-Sic;Kim, Sung-Yeun
    • Journal of the Korean Mathematical Society
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    • v.43 no.2
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    • pp.225-239
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    • 2006
  • In [5], Csorgo and Zitikis exposed the strong $uniform-over-[0,\;{\infty}]$ consistency, and weak $uniform-over-[0,\;{\infty}]$ approximation of the empirical mean residual life process by employing weight functions. We carry on the uniform asymptotic behaviors of the empirical mean residual life process over the whole positive half line by representing the process as an integral form. We compare our results with those of Yang [15], Hall and Wellner [8], and Csorgo and Zitikis [5].

A Study on the Uniform Electronic Transactions Act (미국의 통일전자거래법(UETA)에 관한 고찰)

  • 전순환
    • The Journal of Information Technology
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    • v.5 no.1
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    • pp.173-190
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    • 2002
  • In the face of this bewildering array of approaches to the problem, in 1997, the National Conference of Commissioners on Uniform State Laws (NCCUSL) undertook to produce a new uniform law that would bring some order and consistency to state legislation in this area. The NCCUSL drafting committee worked on a highly expedited drafting schedule, and a completed draft of UETA was finalized and approved ill July 1999.15.

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Asymptotics in Transformed ARMA Models

  • Yeo, In-Kwon
    • Communications for Statistical Applications and Methods
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    • v.18 no.1
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    • pp.71-77
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    • 2011
  • In this paper, asymptotic results are investigated when a parametric transformation is applied to ARMA models. The conditions are determined to ensure the strong consistency and the asymptotic normality of maximum likelihood estimators and the correct coverage probability of the forecast interval obtained by the transformation and backtransformation approach.

Linking Omnichannel Integration Quality and Customer Loyalty in Vietnamese Banks

  • Thu Trang PHAM
    • Journal of Distribution Science
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    • v.22 no.6
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    • pp.95-106
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    • 2024
  • Purpose: This study investigates the complex dynamics of consumer behavior in Vietnamese banking omnichannel environments, focusing on the roles of service consistency, service transparency, flow, perceived privacy risk, and loyalty intention. Research design, data and methodology: Using a sample of 422 Vietnamese bank customers, data analysis revealed significant relationships among the variables under investigation. Results: Firstly, service consistency was found to positively influence flow experiences and negatively impact perceived privacy risk, highlighting the importance of uniform service quality across channels in enhancing consumer engagement while mitigating privacy concerns. Similarly, service transparency was positively associated with flow experiences and negatively associated with perceived privacy risk, underscoring the importance of transparent information dissemination in fostering immersive consumer experiences while alleviating privacy apprehensions. Furthermore, both flow experiences and perceived privacy risk significantly influenced loyalty intentions, indicating the pivotal roles of engaging experiences and data security in driving consumer loyalty. Additionally, mediated relationships were observed, demonstrating the interplay between service consistency, service transparency, flow, perceived privacy risk, and loyalty intention in shaping consumer behavior in omnichannel contexts. Conclusions: These findings provide valuable insights for retailers and marketers seeking to optimize consumer experiences and cultivate loyalty in omnichannel environments by prioritizing consistency, transparency, and data privacy protection.

An Efficient Learning Rule of Simple PR systems

  • Alan M. N. Fu;Hong Yan;Lim, Gi Y .
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.731-739
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    • 1998
  • The probabilistic relaxation(PR) scheme based on the conditional probability and probability space partition has the important property that when its compatibility coefficient matrix (CCM) has uniform components it can classify m-dimensional probabilistic distribution vectors into different classes. When consistency or inconsistency measures have been defined, the properties of PRs are completely determined by the compatibility coefficients among labels of labeled objects and influence weight among labeled objects. In this paper we study the properties of PR in which both compatibility coefficients and influence weights are uniform, and then a learning rule for such PR system is derived. Experiments have been performed to verify the effectiveness of the learning rule.

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WET END MANAGEMENT BASED ON ON-LINE MEASUREMENTS AND CONTROL SOLUTIONS

  • Timo Rantala;Martti Artama;Jukka Nokelainen;Taina Sopenlehto
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 1999.11b
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    • pp.130-139
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    • 1999
  • In order to manage the wet end chemistry on paper machines, our goal is to control sub-processes through which we can influence the entire wet end operations with maximum effect. The most important sub-processes are: consistency, ash, and chemistry. The management of these three main groups is based on on-line maesurements and automatic control. This paper presents a new wet end management platform, a new analyzer. This new analyzer utilizes a modular structure and modem software. It is part of a new paper machine concept. The controls of this concept are feedback and feedforward solutions that control retention, consistencies, ash, and charge, resulting in a more stable wet end (30...80%), more uniform paper, and better rnnability.

Small Sample Study of Kernel Hazard Ratio Estimator

  • Choi, Myong-Hui
    • Journal of the Korean Data and Information Science Society
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    • v.5 no.2
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    • pp.59-74
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    • 1994
  • The hazard ratio may be useful as a descriptive measure to compare the hazard experience of a treatment group with that of a control group. In this paper, we propose a kernel estimator of hazard ratio with censored survival data. The uniform consistency and asymptotic normality of the proposed estimator are proved by using counting process approach. In order to assess the performance of the proposed estimator, we compare the kernel estimator with Cox estimator and the generalized rank estimators of hazard ratio in terms of MSE by Monte Carlo simulation.

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A Simple Estimator of Mean Residual Life Function under Random Censoring

  • Jeong, Dong-Myung;Song, Myung-Unn;Song, Jae-Kee
    • Journal of the Korean Data and Information Science Society
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    • v.8 no.2
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    • pp.225-230
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    • 1997
  • We, in this paper, propose an estimator of mean residual life function by using the residual survival function under random censoring and prove the uniform consistency and weak convergence result of this estimator. Also an example is illustrated by the real data.

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