• 제목/요약/키워드: Score-statistic

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지역사회건강조사원들의 직무 만족도 관련 요인 및 특성 (Characteristics and factors affecting the job satisfaction of community health survey interviewers)

  • 박성빈;김영택;이정미;이영훈;오경재
    • 농촌의학ㆍ지역보건
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    • 제40권1호
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    • pp.1-8
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    • 2015
  • 이 연구는 지역사회건강조사 조사원들을 대상으로 직무만족과 관련 요인 및 특성을 파악하여 향후 조사원 직무만족도 향상을 위한 개선안을 제시하기 위해 수행되었다. 자료는 일개 권역에서 지역사회건강조사를 수행한 조사원 70명을 대상으로 2011년 10월 20일부터 10월 31일까지 직접 기입방법을 통해 일반적 특성 및 직무만족 관련 내용에 대해 수집하였다. 일반적 특성에 따른 직무만족요인에 따른 단변량 분석 결과 40세 미만이 40세 이상보다 정서적 요인 관련 만족도 점수가 상대적으로 높았고, 통계 조사 참여횟수가 5회 이하에서 6회 이상보다 사회적 또는 정서적 요인 만족도 점수가 높았다. 또한 참여대학에 따라 전체 직무만족도 점수는 서로 차이를 나타내었다. 일반적 특성에 대한 요인별 회귀분석 결과 연령이 높을수록 정서적 요인 관련 만족도 점수와 직무수행 요인 관련 만족도 점수는 낮았고, 조사업무 수행형태가 단독수행인 경우 2인 이상 조사를 수행하는 경우보다 직무만 족도 점수가 높았다. 전반적으로 낮은 지역사회건강조사원의 직무만족도를 높이기 위해서는 조사원의 연령과 통계조사 참여경험 요인 등을 감안하여 직무교육 및 관리가 이루어져야 할 것이며, 직무수행 환경과 조사수행과정상의 애로사항을 확인하고 이를 해결해 줄 수 있는 방안이 모색되어야 할 것으로 사료된다.

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.

Sodium Carboxymethylcellulose를 이용한 개의 자궁 유착 방지 (Prevention of Uterine Adhesion by Sodium Carboxymethylcellulose in Dogs)

  • 강윤호;정종태;연성찬
    • 한국임상수의학회지
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    • 제17권2호
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    • pp.381-387
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    • 2000
  • Efficacy of a 1% solution of sodium carboxymethylcellulose (SCMC) infu7ed into the peritoneal cavity of dogs was evaluated for prevention of intraperitoneal adhesion, resulting from operations of the reproductive tract. Saline-treated deles (n = 5) were controls that underwent ventral midline celiotomy, and adhesions were cleated by incision and scraping about 5 cm segment of each uterine horn. Saline (7 ml/kg of body weight) was then infused into the peritoneal cavity. Others (n = 5) were treaded similarly to the saline-treated dogs. except that 1% SCMC :solution (7mH/kg of body weight) was infused into the peritoneal cavity. This group was studied to determine whether SCHC would prevent the adhesions in the peritoneal cavity, especially in the uterine horn model. Abdominal adhesions were evaluated and an adhesion severity score was assigned to each dog on the basis of severity of adhesions. At the time of necropsy. the mean adhesion score in the saline treated group was $2.65{\pm}0.22.$ In contrast, adhesion formation in the SCMC treated group was less ($mean score =1.70{\pm}0.26$). Statistic71 analysis was performed using the grouped t-test and paired t-test. A significanlty lower adhesion score was observed in dogs given SCMC than in the saline treated group (P<0.01). In summary, SCMC significantly reduced adhesion formation in the dog uterine horn model. The results of this study suggest that application of 1% SCMC solution, following various reproductive pelvic surgery, will present the adhesions.

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Tests for Mean Change with the Modified Cusum Statistics

  • Kim, Jae-Hee;Kim, Na-Yeon
    • Journal of the Korean Data and Information Science Society
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    • 제14권2호
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    • pp.187-199
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    • 2003
  • We deal with the problem of testing a sequence of independent normal random variables with constant, known or unknown, variance for no change in mean versus alternatives with a single change-point. Various tests based on the likelihood ratio and recursive residuals, score statistics and cusums are studied. Proposed tests are modified version of Buckley's cusum statistics. A comparison study of various change-point test statistics is done by Monte Carlo simulation with S-plus software.

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A Nonparametric Method for Nonlinear Regression Parameters

  • Kim, Hae-Kyung
    • Journal of the Korean Statistical Society
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    • 제18권1호
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    • pp.46-61
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    • 1989
  • This paper is concerned with the development of a nonparametric procedure for the statistical inference about the nonlinear regression parameters. A confidence region and a hypothesis testing procedure based on a class of signed linear rank statistics are proposed and the asymptotic distributions of the test statistic both under the null hypothesis and under a sequence of local alternatives are investigated. Some desirable asymptotic properties including the asymptotic relative efficiency are discussed for various score functions.

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k-Sample Rank Procedures for Ordered Location-Scale Alternatives

  • Park, Hee-Moon
    • 품질경영학회지
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    • 제22권2호
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    • pp.166-176
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    • 1994
  • Some rank score tests are proposed for testing the equality of all sampling distribution functions against ordered location-scale alternatives in k-sample problem. Under the null hypothesis and a contiguous sequence of ordered location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the proposed tests based on the Hettmansperger-Norton type statistic are more powerful than others for the general ordered location-scale alternatives. However, the Shiraishi's tests based on the sum of two Bartholomew's rank analogue statistics are robust.

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Signed Linear Rank Statistics for Autoregressive Processes

  • Kim, Hae-Kyung;Kim, Il-Kyu
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.198-212
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    • 1995
  • This study provides a nonparametric procedure for the statistical inference of the parameters in stationary autoregressive processes. A confidence region and a hypothesis testing procedure based on a class of signed linear rank statistics are proposed and the asymptotic distributions of the test statistic both underthe null hypothesis and under a sequence of local alternatives are investigated. Some desirable asymptotic properties including the asymptotic relative efficiency are discussed for various score functions.

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Binary Forecast of Heavy Snow Using Statistical Models

  • Sohn, Keon-Tae
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.369-378
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    • 2006
  • This Study focuses on the binary forecast of occurrence of heavy snow in Honam area based on the MOS(model output statistic) method. For our study daily amount of snow cover at 17 stations during the cold season (November to March) in 2001 to 2005 and Corresponding 45 RDAPS outputs are used. Logistic regression model and neural networks are applied to predict the probability of occurrence of Heavy snow. Based on the distribution of estimated probabilities, optimal thresholds are determined via true shill score. According to the results of comparison the logistic regression model is recommended.

BAYESIAN HIERARCHICAL MODEL WITH SKEWED ELLIPTICAL DISTRIBUTION

  • Chung, Youn-Shik;Dipak K. Dey;Yang, Tae-Young;Jang, Jung-Hoon
    • Journal of the Korean Statistical Society
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    • 제32권4호
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    • pp.425-448
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    • 2003
  • Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. We consider hierarchical models including selection models under a skewed heavy tailed error distribution proposed originally by Chen et al. (1999) and Branco and Dey (2001). These rich classes of models combine the information of independent studies, allowing investigation of variability both between and within studies, and incorporate weight function. Here, the testing for the skewness parameter is discussed. The score test statistic for such a test can be shown to be expressed as the posterior expectations. Also, we consider the detail computational scheme under skewed normal and skewed Student-t distribution using MCMC method. Finally, we introduce one example from Johnson (1993)'s real data and apply our proposed methodology. We investigate sensitivity of our results under different skewed errors and under different prior distributions.

A Covariate-adjusted Logrank Test for Paired Survival Data

  • Jeong, Gyu-Jin
    • Communications for Statistical Applications and Methods
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    • 제9권2호
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    • pp.533-542
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    • 2002
  • In this paper, a covariate adjusted logrank test is considered for censored paired data under the Cox proportional hazard model. The proposed score test resembles the adjusted logrank test of Tsiatis, Rosner and Tritchler (1985), which is derived from the partial likelihood. The dependence structure for paired data is accommodated into the test statistic by using' sum of square type' variance estimators. Several weight functions are also considered, which produce a class of covariate adjusted weighted logrank tests. Asymptotic normality of the proposed test is established and simulation studies with moderate sample size show the proposed test works well, particularly when there are dependence structure between treatment and covariates.