• Kyungpook Mathematical Journal
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• 제56권2호
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• pp.357-366
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• 2016

In this paper, deferred statistical convergence is defined by using deferred $Ces{\grave{a}}ro$ mean instead of $Ces{\grave{a}}ro$ mean in the definition of statistical convergence. The obtained method is compared with strong deferred $Ces{\grave{a}}ro$ mean and statistical convergence under some certain assumptions. Also, some inclusion theorems and examples are given.

• 응용통계연구
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• 제34권4호
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• pp.575-578
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• 2021

통계학 용어의 국문화에 관련하여 1980년대 이래 한국통계학회의 활동을 돌아보고 2000년 이래 대두된 새 용어들을 제안한다. 기계학습과 관련된 통계학 용어가 속히 정립되어야 하고 전통적 용어들에 대하여도 지속적인 업데이트가 필요하다.

• Korean Journal of Mathematics
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• 제31권3호
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• pp.349-361
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• 2023

In this article, we construct lacunary ∆^m-statistical convergence for triple sequences within the context of intuitionistic fuzzy n-normed spaces (IFnNS). For lacunary ∆^m-statistical convergence of triple sequence in IFnNS, we demonstrate numerous results. For this innovative notion of convergence, we further built lacunary ∆^m-statistical Cauchy sequences and offered the Cauchy convergence criterion.

• Journal of applied mathematics & informatics
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• 제41권3호
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• pp.541-552
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• 2023

In 2005, Patterson studied lacunary statistical convergence of double sequences of real numbers and, in 2009, Mursaleen introduced notion of lacunary statistical convergence of single sequences in intuitionistic fuzzy normed space. The current work intends to investigate the lacunary statistical convergence of double sequences and some significant conclusions on the algebra of the lacunary statistical limit of double sequences in intuitionistic fuzzy normed space. In addition, we have studied some examples to support the definitions.

• 기본간호학회지
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• 제22권4호
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• pp.452-457
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• 2015

Purpose: In nursing research, studies using statistical methods are required and have increased. In this study, some statistical methods using in nursing study are summarized and appropriate usage is proposed. Methods: Twenty-five original articles from the Journal of Korean Academy of Fundamentals Nursing were reviewed. Statistical methods used in the Journal of Fundamentals Nursing were classified and common errors were presented. Results: Seventy-six statistical analysis were performed in the 25 studies. Among the articles, 28 cases contained errors. Most errors occurred in linear regression analysis and nonparametric analysis. Conclusion: When the use of statistical method is applied inappropriately, the result bring out a serious error. In order to ensure reliability and validity of study, researchers should recognize clear application and usage of statistical methods.

• 대한교통학회지
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• 제7권1호
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• pp.43-55
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• 1989

This study is to review the road traffics and its process by the type of business in annual Statistical Yearbook of Transportation published under the supervision of Ministry of Transport, and the main purpose of this study is to find out an recommendations for the result of the review. For this purpose, this study surveyed and analyzed actual results and its output process in Statistical Yearbook by vehicle and business types. The local survey is performed for the nationwide 23 cities to produce passenger (ton) number and passenger (ton)-㎞ number by vehicle and business types. The result of the local survey is compared with the road traffics in Statistical Yearbook of Transpotation. The result of the survey analysis reveals that road traffic in Statistical Yearbook is produced formally and there is remarkable differences between road traffic in Statistical Yearbook and local survey output. Conclusively, statistical output process of road traffics must be improved to solve th se problems mentioned above in respect to system and technic. Also it is recommended to publish its own road traffic statistics (tentatively named Statistical Yearbook of Road Transportation) just like Statistical Yearbook of Railroad for user's expediency and practicality.

• Nuclear Medicine and Molecular Imaging
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• 제42권2호
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• pp.118-126
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• 2008

Statistical image reconstruction methods have played an important role in emission computed tomography (ECT) since they accurately model the statistical noise associated with gamma-ray projection data. Although the use of statistical methods in clinical practice in early days was of a difficult problem due to high per-iteration costs and large numbers of iterations, with the development of fast algorithms and dramatically improved speed of computers, it is now inevitably becoming more practical. Some statistical methods are indeed commonly available from nuclear medicine equipment suppliers. In this paper, we first describe a mathematical background for statistical reconstruction methods, which includes assumptions underlying the Poisson statistical model, maximum likelihood and maximum a posteriori approaches, and prior models in the context of a Bayesian framework. We then review a recent progress in developing fast iterative algorithms.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.371-381
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• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• 한국수학사학회지
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• 제30권5호
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• pp.305-323
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• 2017

Statistics was not recognized until the early 20th century as an independent science, and statistical education research came to an international milestone in the late 1940s. The purpose of this study is to investigate the historical development of statistics education research, focusing on the activities of the International Statistical Institute (ISI) and the International Association for Statistical Education (IASE). Statistics education in Korea is considered with regard to the history of international research on statistics education in this study. It implies for the direction of statistical education research to domestic mathematics education researchers and statistical researchers related to statistical education research.

• Communications for Statistical Applications and Methods
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• 제26권5호
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• pp.507-517
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• 2019

Statistical matching is a method of combining multiple sources of data that are extracted or surveyed from the same population. It can be used in situation when variables of interest are not jointly observed. It is a low-cost way to expect high-effects in terms of being able to create synthetic data using existing sources. In this paper, we propose the several statistical micro matching methods using a multinomial logistic regression model when all variables of interest are categorical or categorized ones, which is common in sample survey. Under conditional independence assumption (CIA), a mixed statistical matching method, which is useful when auxiliary information is not available, is proposed. We also propose a statistical matching method with auxiliary information that reduces the bias of the conventional matching methods suggested under CIA. Through a simulation study, proposed micro matching methods and conventional ones are compared. Simulation study shows that suggested matching methods outperform the existing ones especially when CIA does not hold.