• Journal of the Korean Statistical Society
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• v.29 no.1
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• pp.123-135
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• 2000

This paper addresses the Bayesian hypotheses testing for the comparison of exponential population under type II censoring. In Bayesian testing problem, conventional Bayes factors can not typically accommodate the use of noninformative priors which are improper and are defined only up to arbitrary constants. To overcome such problem, we use the recently proposed hypotheses testing criterion called the intrinsic Bayes factor. We derive the arithmetic, expected and median intrinsic Bayes factors for our problem. The Monte Carlo simulation is used for calculating intrinsic Bayes factors which are compared with P-values of the classical test.

• 한국데이터정보과학회:학술대회논문집
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• 2003.10a
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• pp.39-47
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• 2003

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So, it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor by Berger and Pericchi (1996) and the fractional Bayes factor by O'Hagan (1995) have been used to overcome this problems. This paper suggests intrinsic priors for testing the equality of two lognormal means, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factors. Using proposed intrinsic priors, we demonstrate our results with a simulated dataset.

• Journal of the Korean Data and Information Science Society
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• v.14 no.3
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• pp.661-671
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• 2003

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So, it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor by Berger and Pericchi (1996) and the fractional Bayes factor by O'Hagan (1995) have been used to overcome this problems. This paper suggests intrinsic priors for testing the equality of two lognormal means, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factors. Using proposed intrinsic priors, we demonstrate our results with real example and a simulated dataset.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.1119-1128
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• 2005

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor and the fractional Bayes factor have been used to overcome this problem. In this paper, we suggest a Bayesian hypothesis testing based on the intrinsic Bayes factor and the fractional Bayes factor for the comparison of two lognormal variances. Using the proposed two Bayes factors, we demonstrate our results with some examples.

• Journal of the Korean Statistical Society
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• v.29 no.4
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• pp.443-454
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• 2000

In Bayesian model selection or testing problems of different dimensions, the conventional Bayes factors with improper noninformative priors are not well defined. The intrinsic Bayes factor and the fractional Bayes factor are used to overcome such problems by using a data-splitting idea and fraction, respectively. This article addresses a Bayesian testing for the comparison of two normal means with unknown variance. We derive proper intrinsic priors, whose Bayes factors are asymptotically equivalent to the corresponding fractional Bayes factor. We demonstrate our results with two examples.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.297-312
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• 2009

This study examined the intrinsic and extrinsic motivational factors affecting the intention to contribute knowledge to online communities. It examined enjoyment, knowledge self-efficacy, and commitment as the intrinsic motivational factors, and anticipated reciprocity, image, and subjective norm as the extrinsic motivational factors. The results showed that intrinsic motivational factors, enjoyment and knowledge self-efficacy were found to have significant influences on attitudes towards knowledge contribution to online communities, but commitment was not. Of the extrinsic motivational factors, anticipated reciprocity was found to have a significant influence on attitudes toward knowledge contribution to online communities, but image and subjective norm were not.

• The Journal of Industrial Distribution & Business
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• v.14 no.7
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• pp.19-26
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• 2023

Purpose: This study explores the intrinsic and extrinsic stress factors that affect employees' job satisfaction. The study reviews the literature on three intrinsic and three extrinsic stress factors that influence the job satisfaction level of employees, establishing the various research findings on the factors and finding the relevant links that such findings have to current research. Research design, data and methodology: The present researcher collected the relevant prior studies via literature content approach that was used by numerous previous works. The researcher transcribed the data gathered from the participants. The next analyst would code the different features of data systematically across the entire set of data, thereby collecting the relevant data for each of the codes. Results: The investigation suggests six stress factors to be connected to job satisfaction, such as Hours of Work Employee Job Satisfaction, Communication and Employee job Satisfaction, Leadership Style Employee Job Satisfaction, Competition Employee Job Satisfaction, Career Development Opportunities Employee Job Satisfaction, Strikes and employee Job Satisfaction Conclusions: This research concludes that organizations with proper communication channels will certainly influence their employees positively and hence give them job satisfaction. Overall, this qualitative research has found that intrinsic and extrinsic factors influence the job satisfaction level of employees in a workplace.

• The Journal of Korean Physical Therapy
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• v.15 no.2
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• pp.157-167
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• 2003

Falls are a leading cause of injury, disability and death among people older than 65. Even without injury, falls cause a loss of confidence that results in reduced physical activity, increased dependency and social withdrawal. Fall prevention in the eldery people is a multifaced task that includes both the identification of risk factors and their modification strategies. Fall risk factors have been identified as both intrinsic and extrinsic. Intrinsic factors are those related to the physical and cognitive function of the person. Extrinsic factors are those which are included in the environmental hazards of everyday life. Combinations of interventions aimed at modifying both intrinsic and extrinsic risk factors can result in significant fall prevention in the geriatric population. This article selectively reviews the literature reporting exercise intervention to improve strength, balance and mobility.

• Communications for Statistical Applications and Methods
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• v.7 no.2
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• pp.549-562
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• 2000

Default Bayes factors are computed to test the equality of one Poisson population mean and the equality of two independent Possion population means. As default priors are assumed Jeffreys priors, noninformative improper priors, and default Bayes factors such as three intrinsic Bayes factors of Berger and Pericchi(1996, 1998), the arithmetic, the median, and the geometric intrinsic Bayes factor, and the factional Bayes factor of O'Hagan(1995) are computed. The testing results by each default Bayes factor are compared with those by the classical method in the simulation study.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10101-10106
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• 2015

The purpose of this study was to identify factors of intrinsic motivation that affect regular breast cancer screening and contribute to development of a program for strategies to improve effective breast cancer screening. Subjects were residing in South Korea Gangwon-Province and were female over 40 and under 69 years of age. For the investigation, the Intrinsic Motivation Inventory (IMI) was modified to the situation of cancer screening and was used to survey 905 inhabitants. Multinominal logistic regression analyses were conducted for regular breast cancer screening (RS), one-time breast cancer screening (OS) and non-breast cancer screening (NS). For statistical analysis, IBM SPSS 20.0 was utilized. The determinant factors between RS and NS were "perceived effort and choice" and "stress and strain" - internal motivations related to regular breast cancer screening. Also, determinant factors between RS and OS are "age" and "perceived effort and choice" for internal motivation related to cancer screening. To increase regular screening, strategies that address individual perceived effort and choice are recommended.