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HEWMA Control Chart Using Auxiliary Information
Iranian Journal of Science and Technology, Transactions A: Science, 2018A type of hybrid exponential weighted moving average (HEWMA) control chart is presented by using two-parametric ratio estimator to strengthen the performance of control chart for detecting shift in process mean at phase-II. Auxiliary information is incorporated by assuming the bivariate normal distribution for study variable Y and auxiliary variable X.
Muhammad Noor-ul-Amin +2 more
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Sensitive Survey Questions with Auxiliary Information
Sociological Methods & Research, 2017Scholars increasingly rely on indirect questioning techniques to reduce social desirability bias and item nonresponse for sensitive survey questions. The major drawback of these approaches, however, is their inefficiency relative to direct questioning.
Winston Chou +2 more
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Discovering auxiliary information for incremental computation
Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96, 1996This paper presents program analyses and transformations that discover a general class of auxiliary information for any incremental computation problem. Combining these techniques with previous techniques for caching intermediate results, we obtain a systematic approach that transforms nonincremental programs into efficient incremental programs that ...
Yanhong A. Liu +2 more
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Improving Recommendation Performance with Auxiliary Information
2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing, 2019In this article, to utilize available Auxiliary information (AI) for accurate recommendation, we propose a hybrid multitask learning based recommendation approach referred to as IRAI. In contrast to previous researches, IRAI tries to leverage available auxiliary information for representation vector learning for users and items respectively. In theory,
Wang Zhou +3 more
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USE AUXILIARY INFORMATION IN SAMPLING THEORY
2023To better estimate the mean of a limited population when using stratified random sampling, We presented a novel class of estimators that use both the average of the samples and the position of an additional variable. Both the proposed and the current estimators' bias and MSE are calculated.
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Including auxiliary information in fuzzy clustering
Proceedings of North American Fuzzy Information Processing, 2002Fuzzy clustering is an effective prerequisite exploratory data analysis (EDA) tool to aid in the design of pattern recognition classifiers. Often, signal-to-noise (SNR) information is available with each data sample. The fuzzy C-Means (FCM) and the fuzzy C-Medians (FCMED) clustering algorithms are extended to include this auxiliary information.
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Robust Watermark Using the Auxiliary Information
2006 International Conference on Communications, Circuits and Systems, 2006A novel digital image watermarking scheme is proposed, which is based on Walsh spread spectrum for watermark embedding in DWT domain. Our main contributions are below: 1) texture regions have been chosen to embed the watermark information and a simple texture region detection method is presented; 2) the auxiliary information is introduced to locate the
Guo Lihua, Zhang Yuanjian
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Distribution estimation with smoothed auxiliary information
Acta Mathematicae Applicatae Sinica, English Series, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Xu, Ishfaq, Ahmad
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Bootstrapping Empirical Distributions under Auxiliary Information
2000Being the nonparametric maximum likelihood estimator, the classical empirical distribution function is the estimator of choice for a completely unknown distribution function. As shown by Qin and Lawless (1994), in the presence of some auxiliary information the nonparametric maximum likelihood estimator is a modified empirical distribution function.
Erich Haeusler, Christiane Plies
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Robust designs based on auxiliary information
Journal of Information and Optimization Sciences, 1997Abstract In this article auxiliary information is used to develop designs that provide protection, in some sense, against outliers. It is found that to estimate the vector of unknown regression coefficients the designs which minimize the determinant of the covariance matrix of the mixed regression estimator are robust against outliers.
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