• 제목/요약/키워드: binomial method

검색결과 173건 처리시간 0.028초

A Coding Method for Mathematical Problems in the TIMSS 1999 Video Study and its Applications

  • Yuan, Zhiqiang
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제14권2호
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    • pp.123-141
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    • 2010
  • This study introduced a coding method for mathematical problems in the TIMSS 1999 Video Study, which used sixteen indicators to analyze mathematical problems in a lesson. Based on this framework for coding, the researcher analyzed three lesson videos on Binomial Theorem taught respectively by three Chinese teachers, and got some features of mathematical problems in these three lessons.

Tests for homogeneity of proportions in clustered binomial data

  • Jeong, Kwang Mo
    • Communications for Statistical Applications and Methods
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    • 제23권5호
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    • pp.433-444
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    • 2016
  • When we observe binary responses in a cluster (such as rat lab-subjects), they are usually correlated to each other. In clustered binomial counts, the independence assumption is violated and we encounter an extra-variation. In the presence of extra-variation, the ordinary statistical analyses of binomial data are inappropriate to apply. In testing the homogeneity of proportions between several treatment groups, the classical Pearson chi-squared test has a severe flaw in the control of Type I error rates. We focus on modifying the chi-squared statistic by incorporating variance inflation factors. We suggest a method to adjust data in terms of dispersion estimate based on a quasi-likelihood model. We explain the testing procedure via an illustrative example as well as compare the performance of a modified chi-squared test with competitive statistics through a Monte Carlo study.

Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis

  • Lee Seung-Won;Hong Seong-Eui;Lee Kyoo-Yeol;Choi Do-Il;Chung Hae-Young;Hur Cheol-Goo
    • Genomics & Informatics
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    • 제4권2호
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    • pp.87-93
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    • 2006
  • With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database

민감한 이항특성에 대한 신뢰구간 : 직접질문법과 간접질문법 (Confidence Interval for Sensitive Binomial Attribute : Direct Question Method and Indirect Question Method)

  • 류제복
    • 응용통계연구
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    • 제28권1호
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    • pp.75-82
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    • 2015
  • 본 연구에서는 민감한 이항특성에 대한 신뢰구간 추정에 직접질문법과 간접질문법을 사용한다. 간접질문법으로 응답자들의 응답부담을 줄여주기 위해서 확률장치를 사용하는 Warner (1965)의 확률화응답기법(RRT)을 고려한다. 두 방법에 의한 신뢰구간을 비교하기 위해서 평가기준으로 평균포함확률(MCP), 평균제곱오차의 제곱근(RMSE), 그리고 평균기대폭(MEW)을 사용한다. 수치적 비교 결과 RRT의 MCP가 명목수준()을 크게 초과하여 보수적이고 MEW도 매우 크다. 따라서 이들을 보완해 주어야 실제적으로 간접질문법의 유용성을 높일 수 있다.

Bayesian Estimation of Three-parameter Bathtub Shaped Lifetime Distribution Based on Progressive Type-II Censoring with Binomial Removal

  • Chung, Younshik
    • Journal of the Korean Data Analysis Society
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    • 제20권6호
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    • pp.2747-2757
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    • 2018
  • We consider the MLE (maximum likelihood estimate) and Bayesian estimates of three-parameter bathtub-shaped lifetime distribution based on the progressive type II censoring with binomial removal. Jung, Chung (2018) proposed the three-parameter bathtub-shaped distribution which is the extension of the two-parameter bathtub-shaped distribution given by Zhang (2004). Jung, Chung (2018) investigated its properties and estimations. The maximum likelihood estimates are computed using Newton-Raphson algorithm. Also, Bayesian estimates are obtained under the balanced loss function using MCMC (Markov chain Monte Carlo) method. In particular, BSEL (balanced squared error loss) function is considered as a special form of balanced loss function given by Zellner (1994). For comparing theirs MLEs with the corresponding Bayes estimates, some simulations are performed. It shows that Bayes estimates is better than MLEs in terms of risks. Finally, concluding remarks are mentioned.

Least squares decoding in binomial frequency division multiplexing

  • Myungsup Kim;Jiwon Jung;Ki-Man Kim
    • ETRI Journal
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    • 제45권2호
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    • pp.277-290
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    • 2023
  • This paper proposes a method that can reduce the complexity of a system matrix by analyzing the characteristics of a pseudoinverse matrix to receive a binomial frequency division multiplexing (BFDM) signal and decode it using the least squares (LS) method. The system matrix of BFDM can be expressed as a band matrix, and as this matrix contains many zeros, its amount of calculation when generating a transmission signal is quite small. The LS solution can be obtained by multiplying the received signal by the pseudoinverse matrix of the system matrix. The singular value decomposition of the system matrix indicates that the pseudoinverse matrix is a band matrix. The signal-to-interference ratio is obtained from their eigenvalues. Meanwhile, entries that do not contribute to signal generation are erased to enhance calculation efficiency. We decode the received signal using the pseudoinverse matrix and the removed pseudoinverse matrix to obtain the bit error rate performance and to analyze the difference.

Bayesian Multiple Comparison of Binomial Populations based on Fractional Bayes Factor

  • Kim, Dal-Ho;Kang, Sang-Gil;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.233-244
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    • 2006
  • In this paper, we develop the Bayesian multiple comparisons procedure for the binomial distribution. We suggest the Bayesian procedure based on fractional Bayes factor when noninformative priors are applied for the parameters. An example is illustrated for the proposed method. For this example, the suggested method is straightforward for specifying distributionally and to implement computationally, with output readily adapted for required comparison. Also, some simulation was performed.

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개별여행비용법을 이용한 바다 유어 낚시의 소비자 잉여추정 (Estimating Consumer Surplus for Recreational Sea Fishing using Individual Travel Cost Method)

  • 표희동;박철형;정진호
    • Ocean and Polar Research
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    • 제30권2호
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    • pp.141-148
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    • 2008
  • This paper aims at estimating consumer surplus for recreational sea fishing in Tongyeong coastal area using individual travel cost method. A Poisson model (PM), a negative binomial model (NBM), a truncated Poisson model (TPM), and a truncated negative binomial model (TNBM) are applied for individual travel cost method in order to account characteristics of count data (non-negative discrete data.) The survey was conducted for 462 inshore anglers using personal interview method in Tongyeong during July and October 2007. Respondents were asked about how often they do fishing, travel costs, catch, income, and so on. Because of over-dispersion problem in PM and TPM, NBM and TNBM were considered to be more appropriate statistically. All parameters estimated are statistically significant and theoretically valid. As the results based on TNBM, consumer surplus per trip was estimated to be 183,486 won, total consumer surplus per person and per year 3,399,658 won, and the marginal effect of consumer surplus on % changes in catch rate is 185,372 won.

가산자료모형을 이용한 서해 태안군 유어객의 편익추정 (Estimating the Economic Value of Recreation Sea Fishing in the Yellow Sea: An Application of Count Data Model)

  • 최종두
    • 자원ㆍ환경경제연구
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    • 제23권2호
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    • pp.331-347
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    • 2014
  • 본 연구는 서해에 위치한 태안군을 방문하는 유어객의 방문 편익을 분석하기 위하여 개별여행비용법과 가산자료모형을 이용하여 수요모형을 추정하고 경제적 가치를 측정하였다. 여행객방문속성을 감안하여 분석모형으로 포아송모형(Poisson Model, PM), 음이항모형(Negative Binomial, NB), 절단된 포아송모형(Truncated Poisson Model, TPM), 절단된 음이항모형(Truncated Negative Binomial, TNB)을 분석에 이용하였다. 분석결과 추정계수들은 통계적으로 유의하게 나타났으며, 경제이론에도 부합되는 결과를 도출하였다. 과산포(overdispersion)현상은 발견되지 않았으며, 모형적합도검정을 통하여 절단된 포아송모형이 적정모형으로 선정되었다. 또한, 서해 태안군 해역내 유어활동의 경제적가치를 추정하기 위하여 유어객의 연평균 출조횟수와 최적모형으로 선정된 절단된포아송모형(TPM)으로 분석한 결과 1인 1회 출조당 경제적 가치는 254,453원이며, 1인당 연간 총 경제적 가치는 1,536,896원으로 도출되었다.

이변량 음이항 모형에서 붓스트랩 방법을 이용한 과대산포에 대한 검정 (Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method)

  • 전명식;정병철
    • 응용통계연구
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    • 제21권2호
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    • pp.341-353
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    • 2008
  • 본 연구에서는 이변량 음이항 분포에서 과대산포와 "내재적 상"의 존재유무에 대한 가설검정 문제를 다루었다. 과대산포에 대한 스코어 검정의 표준정규분포 근사는 명목 유의수준을 과소추정한 반면 "내재적 상"에 대한 스코어 검정은 명목유의수준을 과대 추정하고 있음을 보였다. 본 연구에서는 이와 같은 스코어 검정의 표준정규분포 근사의 문제점을 해결하기 위하여 붓스트랩 방법을 제안하였다. 스코어 검정에 대한 붓스트랩 방법은 두 검정에서 명목유의수준을 제대로 유지하고 검정력도 높게 나타나 스코어 검정의 표준정규분포 근사에 존재하는 문제를 해결하는 효율적인 대안으로 판단된다.