• 제목/요약/키워드: Statistical samples

검색결과 1,674건 처리시간 0.032초

A Study on the Least Squared Estimator of Autoregressive Models when Consecutive Missing Observations Exist

  • Ryu, Gui-Yeol
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.59-74
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    • 1996
  • The properties of the residuals are investigated when K-consecutive observations are interpolated. The central limit theorem is also proved for the LSE for autoregressive parameters when $\kappa4--consecutive observations are contaminated. The performance of the interpolated LSE in small samples is investigated by simulation. And the interpolated with the Yule-Walker type estimator.

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Some Nonparametric Tests for Change-points with Epidemic Alternatives

  • Kim, Kyung-Moo
    • Communications for Statistical Applications and Methods
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    • 제4권2호
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    • pp.427-434
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    • 1997
  • The purpose of this paper is to discuss distribution-free tests of hypothesis that the random samples are identically distributed against the epidemic alternative. But most tests that have been considered are depended only on specific null distribution. Two nonparametric tests are considered and compared with a likelihood ratio test by the empirical powers.

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On Fixed Width Confidence Bounds for the Difference of the Means of Two Linear Processes

  • Lee, Sang-Yeol
    • Journal of the Korean Statistical Society
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    • 제25권4호
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    • pp.603-611
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    • 1996
  • In this article we consider a sequential procedure for the fixed width interval estimation of the means of two mutually independent linear processes. It is shown that the proposed stopping rule is asymptotically efficient as in iid samples (cf. Robbins, Simons and Starr(l967)).

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Jackknife Estimates for Parameter Changes in the Weibull Distribution

  • Jungsoo;Changsoo
    • Communications for Statistical Applications and Methods
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    • 제7권1호
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    • pp.199-210
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    • 2000
  • We shall propose several estimators for the shape and scale parameters I the Weibull distribution based upon the complete or truncated samples when both parameters are functions of a known exposure level and study properties for proposed several estimators

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R and S Arrays Approach for Transfer Function-Noise Model Identificaton

  • Kim, Hea-Jung
    • Journal of the Korean Statistical Society
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    • 제19권1호
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    • pp.1-14
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    • 1990
  • This paper proposes an approach to the identification of trnasfer function models. A strategy for the identification of the model structure is based on R and S arrays constructed by the impulse response function of the model. Theoretical patterns of the arrays associated with the model are investigated, and the practical implementation method of the suggested approach is also discussed. Finally two published samples are employed to demonstrate the practicability of the approach.

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중·고등학생들의 비형식적 통계적 추리의 수준 연구 (Study on the Levels of Informal Statistical Inference of the Middle and High School Students)

  • 이정연;이경화
    • 대한수학교육학회지:학교수학
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    • 제19권3호
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    • pp.533-551
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    • 2017
  • 통계교육 연구자들은 형식적 추리 방법을 지도하기에 앞서 비형식적 추리를 지도할 것을 강조하며 통계적 추리의 발달 과정에 주목하고 있다. 본 연구는 표본 비교하기 과제와 모집단의 그래프 추측하기 과제를 해결하는 과정에서 나타나는 중 고등학생들의 비형식적 통계적 추리의 수준과 각 수준별 특징을 분석하였다. 연구 결과, 표본 비교하기 과제에서는 개인적인 의견에 기초하여 타당하지 않은 추리를 하는 수준, 자료에 대한 국소적 관점을 가진 수준, 자료에 대한 전체적 관점으로 전환되는 수준, 분포의 다각적인 측면에 주목하는 수준, 통계적 개념들을 통합하여 추리하는 수준이 확인되었다. 모집단의 그래프 추측하기 과제에서는 개인적인 의견에 기초하여 타당하지 않은 추리를 하는 수준, 표본대표성에만 주목하고 표집변이성을 고려하지 않는 수준, 표본대표성과 표집변이성을 모두 고려하며 분포의 한 측면에 주목하여 부분적으로 타당한 추리를 하는 수준, 분포의 다각적 측면에 주목하는 수준, 통계적 개념들을 통합하여 추리하는 수준이 확인되었다.

Rapid Screening of Phospholipid Biomarker Candidates from Prostate Cancer Urine Samples by Multiple Reaction Monitoring of UPLC-ESI-MS/MS and Statistical Approaches

  • Lim, Sangsoo;Bang, Dae Young;Rha, Koon Ho;Moon, Myeong Hee
    • Bulletin of the Korean Chemical Society
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    • 제35권4호
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    • pp.1133-1138
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    • 2014
  • Ultrahigh performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI- MS/MS) provides a high-speed method to screen a large number of samples for small molecules with specific properties. In this study, UPLC-ESI-MS/MS with multiple reaction monitoring (MRM) was employed to screen urinary phospholipid (PL) content for biomarkers of prostate cancer. From lists of urinary PLs structurally identified using nanoflow LC-ESI-MS/MS, 52 PL species were selected for quantitative analysis in urine samples between 22 cancer-free urologic patients as controls and 45 prostate cancer patients. Statistical treatment of data by receiver operating characteristic (ROC) analysis yielded 14 PL species that differed significantly in relative concentrations (area under curve (AUC) > 0.8) between the two groups. Among PLs present at higher levels in prostate cancer urine, phosphatidylcholines (PCs) and phosphatidylinositols (PIs) constituted the major head group PLs (3 PCs and 7 PIs). For technical reasons, PL species of low abundance may be underrepresented in data from UPLC-ESI-MS/MS performed in MRM mode. However, the proposed method enables the rapid screening of large numbers of plasma or urine samples in the search for biomarkers of human disease.

Influence of an Observation on the t-statistic

  • Kim, Hong-Gie;Kim, Kyung-Hee
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.453-462
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    • 2005
  • We derive the influence function on t statistic and find its feature; the influence function on t statistic has two forms depending on the value of ${\mu}_0$. Sample influence functions are used to verify the validity of the derived influence function. We use random samples from normal distribution to show the validity of the function. The simulation study proves that the obtained influence function is very accurate to in estimating changes in t statistic when an observation is added or deleted.

GC-MS 기반 대사체학 기술을 응용한 참당귀의 산지비교분석 (Comparative Analysis of Cultivation Region of Angelica gigas Using a GC-MS-Based Metabolomics Approach)

  • 강귀보;임재윤
    • 한국약용작물학회지
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    • 제24권2호
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    • pp.93-100
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    • 2016
  • Background: A set of logical criteria that can accurately identify and verify the cultivation region of raw materials is a critical tool for the scientific management of traditional herbal medicine. Methods and Results: Volatile compounds were obtained from 19 and 32 samples of Angelica gigas Nakai cultivated in Korea and China, respectively, by using steam distillation extraction. The metabolites were identified using GC/MS by querying against the NIST reference library. Data binning was performed to normalize the number of variables used in statistical analysis. Multivariate statistical analyses, such as Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) were performed using the SIMCA-P software. Significant variables with a Variable Importance in the Projection (VIP) score higher than 1.0 as obtained through OPLS-DA and those that resulted in p-values less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Among the 19 variables extracted, styrene, ${\alpha}$-pinene, and ${\beta}$-terpinene were selected as markers to indicate the origin of A. gigas. Conclusions: The statistical model developed was suitable for determination of the geographical origin of A. gigas. The cultivation regions of six Korean and eight Chinese A. gigas. samples were predicted using the established OPLS-DA model and it was confirmed that 13 of the 14 samples were accurately classified.