• Title/Summary/Keyword: statistical

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On the characteristics of statistical expert system and a strategy to choose development tools (통계전문가시스템의 특성과 개발도구의 선택)

  • 허문열
    • The Korean Journal of Applied Statistics
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    • v.4 no.1
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    • pp.85-92
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    • 1991
  • This paper describes the trend and inherent problems of the current statistical packages, and statistical expert system is suggested as an alternative to the conventional statistical packages. The paper then describes the components and characteristics of statistical expert system, and suggests a strategy to choose development tools to build a system.

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On Deferred Statistical Convergence of Sequences

  • Kucukaslan, Mehme;Yilmazturk, Mujde
    • Kyungpook Mathematical Journal
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    • v.56 no.2
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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.

ON LACUNARY ∆m-STATISTICAL CONVERGENCE OF TRIPLE SEQUENCE IN INTUITIONISTIC FUZZY N-NORMED SPACE

  • Asif Hussain Jan;Tanweer Jalal
    • Korean Journal of Mathematics
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    • v.31 no.3
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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.

ON ALGEBRA OF LACUNARY STATISTICAL LIMIT OF DOUBLE SEQUENCES IN INTUITIONISTIC FUZZY NORMED SPACE

  • SHAILENDRA PANDIT;AYAZ AHMAD
    • Journal of applied mathematics & informatics
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    • v.41 no.3
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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.

Type of Statistical Methods and Errors in the Journal of Korean Academy of Fundamentals of Nursing (기본간호학회지 게재 논문의 통계학적 방법 유형과 오류)

  • Choi, Eunhee
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.22 no.4
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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.

공로수송통계의 문제점과 개선방안에 관한 연구

  • 이한준
    • Journal of Korean Society of Transportation
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    • v.7 no.1
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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.

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Statistical Methods for Tomographic Image Reconstruction in Nuclear Medicine (핵의학 단층영상 재구성을 위한 통계학적 방법)

  • Lee, Soo-Jin
    • Nuclear Medicine and Molecular Imaging
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    • v.42 no.2
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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.

Improved Statistical Language Model for Context-sensitive Spelling Error Candidates (문맥의존 철자오류 후보 생성을 위한 통계적 언어모형 개선)

  • Lee, Jung-Hun;Kim, Minho;Kwon, Hyuk-Chul
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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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.

History of the Research on Statistics Education, and Statistics Education in Korea (통계교육 연구의 역사와 한국의 통계교육)

  • Tak, Byungjoo;Lee, Kyeong-Hwa
    • Journal for History of Mathematics
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    • v.30 no.5
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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.