• Title/Summary/Keyword: 표본가중평균

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The Effect of Corporate Governance on Weighted Average Cost of Capital and Tax Avoidance (기업지배구조가 가중평균자본비용과 조세회피간의 관련성에 미치는 영향)

  • Lee, Hwa Ryeong;Kim, Jin Seop
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.543-548
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    • 2017
  • This paper examines the effects of strong corporate governance for listed companies in accessing capital markets from the point of view of the weighted average cost of capital. Results found that corporate governance had a significant negative(-) relation to the weighted average cost of capital. This finding is consistent with previous research and implies that the higher shareholder ownership and foreign ownership have confidence in the financial information of the company, and therefore, risk is reduced for investors. This results in lower expected rates of return and companies will pay a lower cost of capital. Second, tax evasion had a positive effect(+) on the weighted average cost of capital. The low quality of corporate accounting information is expected to increase tax avoidance. Accordingly, this results in increased risk. If the required rate of return is high in its impact,it leads to increased capital costs. In addition, corporate governance and tax avoidance factors showed a negative affect (-) on the weighted average cost of capital. Corporate governance plays an important role in tax avoidance and the weighted average cost of capital, and strong corporate governance reducesthe impact on tax avoidance. In addition, the weighted average cost of capital in capital markets showed the reducing effect.

Iterative Bispectrum Estimation and Signal Recovery Based On Weighted Regularization (가중 정규화에 기반한 반복적 바이스펙트럼 추정과 신호복원)

  • Lim, Won-Bae;Hur, Bong-Soo;Lee, Hak-Moo;Kang, Moon-Gi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.3
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    • pp.98-109
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    • 2000
  • While the bispectrum has desirable properties in itself and therefore has a lot of potential to be applied to signal and Image restoration. few real-world application results have appeared in literature The major problem with this IS the difficulty In realizing the expectation operator of the true bispectrum, due to the lack of realizations. In this paper, the true bispectrum is defined as the expectation of the sample bispectrum, which IS the Fourier representation of the triple correlation given one realization The characteristics of the sample bispectrum are analyzed and a way to obtain an estimate of the true bispectrum without stochastic expectation, using the generalized theory of weighted regularization is shown. The bispectrum estimated by the proposed algorithm is experimentally demonstrated to be useful for signal recovery under blurred noisy condition.

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Percentile-based design of exponentially weighted moving average charts (지수가중이동평균 관리도의 백분위수 기반 설계)

  • Jiyun Ku;Jaeheon Lee
    • The Korean Journal of Applied Statistics
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    • v.37 no.2
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    • pp.177-189
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    • 2024
  • The run length is defined as the number of samples or subgroups taken before the control chart statistic exceeds the control limits. Because the distribution of run length is typically asymmetric and has a large variability, it may not be appropriate to use ARL (average run length) alone to design control charts and evaluate performance. In this paper, we introduce the concept of percentile (PL)-based design of control charts, and propose the procedure for PL-based design of EWMA (exponentially weighted moving average) charts. For the PL-based design of EWMA, we present a fitted function for the control chart coefficient, given specific percentile parameters. Additionally, we perform simulations to compare the proposed design with the ARL-based design. The simulation results show that the proposed design yields improvements in monitoring in-control processes while maintaining the ability to detect out-of-control performance.

A sample design for the survey on goodwill in retail properties (상가권리금 현황조사를 위한 표본설계 연구)

  • Kim, Dal Ho;Woo, Namkyo;Jo, Junwoo
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.6
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    • pp.1443-1452
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    • 2016
  • In this paper, we study a sample design for survey on goodwill in retail properties to provide a protecting policy for small traders and tenants, to use basic data for a dispute case related to goodwill. Since goodwill in retail properties is occurred by individual rent company, we use the census on establishments from the Statistics Korea as population. First of all, we consider preferentially seven metropolitan cities in which there are more than half of population. Total sample size is decided as 8,000. We allocate the sample size for markets as stratum in each city using proportional formula and the sample size for industrial classifications in each market using root proportional formula. Also we compute survey weights and calculate estimators, standard errors and interval of estimators for each characteristic such as type of establishments and market in seven metropolitan cities.

A Study on the Assessment of Right-tail Prediction Ability of Extreme Distributions using Simulation Experiment (모의 실험을 이용한 Right-tail quantiles의 극치 분포형 비교 평가에 관한 연구)

  • Jung, Jinseok;Kim, Taereem;Song, Hyun-Keun;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.158-158
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    • 2016
  • 본 연구에서는 극치 분포의 오른쪽 꼬리 부분 예측 시 안정적인 확률수문량 산정하는 확률분포형과 매개변수 추정 방법을 평가하기 위해 Monte Carlo 모의를 수행하였다. 수문자료의 빈도해석에 적합한 것으로 알려진 generalized extreme value (GEV), Gumbel (GUM), generalized logistic (GLO), gamma3 (GAM3), normal (NOR), log-normal3 (LN3) 총 6개의 확률분포형을 바탕으로 오른쪽 꼬리 부분의 확률수문량 추정 성능을 모의 실험을 통해 평가하고자 한다. 30년 이상 자료를 보유한 기상청 지점의 지속기간별 연최대값 자료를 분석한 결과를 바탕으로 모분포를 GEV분포로 선정하였으며 평균이 1.0, 표준편차 0.5, 왜곡도 계수는 0.5, 1.0, 2.0, 3.0, 4.0이 되도록 가정하였다. 또한 자료 길이에 따른 성능 평가를 위해 표본 크기 20, 50, 100, 150, 200개에 대해 분석을 수행하였다. 위와 같은 가정으로 총 25종류(왜곡도계수 5개 ${\times}$ 표본 크기 5개)의 발생된 모분포에 6가지의 확률분포형과 3가지의 매개변수 추정방법(모멘트법, 최우도법, 확률가중모멘트법)을 조합한 18가지의 모델을 비교 분석해보았다. 평가방법으로는 평균 제곱근 오차(Root Mean Square Error, RMSE), 편의(bias), 평균 상대오차(Mean Relative Difference, MRD), 평균 절대 상대오차(Mean Absolute Relative Difference, MARD)를 사용하여 적용 모델의 성능을 비교 분석하였다.

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A Study on Objective Functions for the Multi-purpose Dam Operation Plan in Korea (국내 다목적댐 운영계획에 적합한 목적함수에 관한 연구)

  • Eum, Hyung-Il;Kim, Young-Oh;Yun, Ji-Hyun;Ko, Ick-Hwan
    • Journal of Korea Water Resources Association
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    • v.38 no.9 s.158
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    • pp.737-746
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    • 2005
  • Optimization is a process that searches an optimal solution to obtain maximum or minimum value of an objective function. Many researchers have focused on effective search algorithms for the optimum but few researches were interested in establishing the objective function. This study compares two approaches for the objective function: one allows a tradeoff among the objectives and the other does not allow a tradeoff by assigning weights for the absolute priority between the objectives. An optimization model using sampling stochastic dynamic programming was applied to these two objective functions and the resulting optimal policies were compared. As a result, the objective function with no tradeoff provides a decision making process that matches practical reservoir operations than that with a tradeoff allowed. Therefore, it is more reasonable to establish the objective function with no a tradeoff among the objectives for multi-purpose dam operation plan in Korea.

Calculating Sample Variance for the Combined Data (두 자료들의 평균과 분산을 이용한 혼합자료의 분산 계산)

  • Shin, Mi-Young;Cho, Tae-Kyoung
    • The Korean Journal of Applied Statistics
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    • v.21 no.1
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    • pp.177-182
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    • 2008
  • There are times when we need more sample to achieve a more accurate estimator. Since these two sets of sample have the information about the same population, it is necessary to treat both as a single combined data. In this paper we present the unpooled sample variance for the combined data when we just know a sample mean and variance for the each data set without the raw data. It is shown that the pooled variance $s^2_p$ is always greater than the exact variance $s^2_t$ when ${\bar{x}}_n\;=\;{\bar{y}}_m$. And the difference of means for two data, ${\bar{x}}_n-{\bar{y}}_m}$, is larger, the difference of $s^2_p$ and $s^2_t$ is larger.

Approximate Variance of Least Square Estimators for Regression Coefficient under Inclusion Probability Proportional to Size Sampling (포함확률비례추출에서 회귀계수 최소제곱추정량의 근사분산)

  • Kim, Kyu-Seong
    • Communications for Statistical Applications and Methods
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    • v.19 no.1
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    • pp.23-32
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    • 2012
  • This paper deals with the bias and variance of regression coefficient estimators in a finite population. We derive approximate formulas for the bias, variance and mean square error of two estimators when we select a fixed-size inclusion probability proportional to the size sample and then estimate regression coefficients by the ordinary least square estimator as well as the weighted least square estimator based on the selected sample data. Necessary and sufficient conditions for the comparison of the two estimators in terms of variance and mean square error are suggested. In addition, a simple example is introduced to numerically compare the variance and mean square error of the two estimators.

SO2 규제가 미국 석탄발전산업에 미치는 영향 - 일반비용함수를 통한 재고찰 -

  • Lee, Myeong-Heon
    • Environmental and Resource Economics Review
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    • v.4 no.2
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    • pp.267-289
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    • 1995
  • 석탄에 대한 아황산가스 규제가 발전산업에 미치는 제반 효과들을 측정하기 위해서는 생산요소의 왜곡된 분배로 인한 생산비용의 증가 또한 고려하여 암묵요소가격을 이용한 일반비용함수를 추정해야 한다. 아황산가스 규제를 포함한 여러 형태의 규제하에서 생산요소간의 한계기술대체율이 시장가격율과 일치하지 않음으로써 기업들의 생산비용최소화는 이루어지지 않기 때문이다. 1975년부터 1990년까지의 표본기간동안 아황산가스 규제로 인하여 미국 석탄발전소들의 생산비용이 평균적으로 6.1% 증가되었고 아황산가스를 추가적으로 1톤 저감하는데 드는 한계비용을 배출량몫 가중평균치로 측정하면 규제를 받은 기업들은 평균적으로 매년 539달러를 소비하였다. 생산요소인 자본과 노동 그리고 저유황석탄의 수요량은 평균적으로 5.8%, 5.2%, 그리고 29.6% 각각 증가된 반면 고유황석탄 수요량은 0.7% 감소되었으며 규제를 받은 기업들의 연 생산성은 평균적으로 1.52% 감소되었다.

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Forming Weighting Adjustment Cells for Unit-Nonresponse in Sample Surveys (표본조사에서 무응답 가중치 조정층 구성방법에 따른 효과)

  • Kim, Young-Won;Nam, Si-Ju
    • Communications for Statistical Applications and Methods
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    • v.16 no.1
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    • pp.103-113
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    • 2009
  • Weighting is a common form of unit nonresponse adjustment in sample surveys where entire questionnaires are missing due to noncontact or refusal to participate. A common approach computes the response weight as the inverse of the response rate within adjustment cells based on covariate information. In this paper, we consider the efficiency and robustness of nonresponse weight adjustment bated on the response propensity and predictive mean. In the simulation study based on 2000 Fishry Census in Korea, the root mean squared errors for assessing the various ways of forming nonresponse adjustment cell s are investigated. The simulation result suggest that the most important feature of variables for inclusion in weighting adjustment is that they are predictive of survey outcomes. Though useful, prediction of the propensity to response is a secondary. Also the result suggest that adjustment cells based on joint classification by the response propensity and predictor of the outcomes is productive.