• Title/Summary/Keyword: non-linear regression

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Bias corrected non-response estimation using nonparametric function estimation of super population model (선형 응답률 모형에서 초모집단 모형의 비모수적 함수 추정을 이용한 무응답 편향 보정 추정)

  • Sim, Joo-Yong;Shin, Key-Il
    • The Korean Journal of Applied Statistics
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    • v.34 no.6
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    • pp.923-936
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    • 2021
  • A large number of non-responses are occurring in the sample survey, and various methods have been developed to deal with them appropriately. In particular, the bias caused by non-ignorable non-response greatly reduces the accuracy of estimation and makes non-response processing difficult. Recently, Chung and Shin (2017, 2020) proposed an estimator that improves the accuracy of estimation using parametric super-population model and response rate model. In this study, we suggested a bias corrected non-response mean estimator using a nonparametric function generalizing the form of a parametric super-population model. We confirmed the superiority of the proposed estimator through simulation studies.

A Study on Modeling and Forecasting of Mobile Phone Sales Trends (이동통신 단말기 판매 추이에 대한 모형 및 수요예측에 관한 연구)

  • Kim, Min-Jeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.157-165
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    • 2016
  • Among high-tech products, the mobile phone has experienced a rapid rate of innovation and a shortening of its product life cycle. The shortened product life cycle poses major challenges to those involved in the creation of forecasting methods fundamental to strategic management and planning systems. This study examined whether the best model applies to the entire diffusion life span of a mobile phone. Mobile phone sales data from a specific mobile service provider in Korea from March of 2013 to August of 2014 were analyzed to compare the performance of two S-shaped diffusion models and two non-linear regression models, the Gompertz, logistic, Michaelis-Menten, and logarithmic models. The experimental results indicated that the logistic model outperforms the other three models over the fitted region of the diffusion. For forecasting, the logistic model outperformed the Gompertz model for the period prior to diffusion saturation, whereas the Gompertz model was superior after saturation approaches. This analysis may help those estimate the potential mobile phone market size and perform inventory and order management of mobile phones.

Assessment of External and Internal Corrosion Growth Rate for Metallic Water Pipes (상수도 금속관의 외면과 내면 부식속도 평가에 관한 연구)

  • Bae, Chulho;Kim, Juhwan;Kim, Jeonghyun;Hong, Seongho
    • Journal of the Korean GEO-environmental Society
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    • v.9 no.1
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    • pp.17-25
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    • 2008
  • In this study, external and internal pit growth rate model and external non-linear regression corrosion model were proposed by measuring pit depths and evaluating various soil factors known to contribute to the corrosion for metallic water pipes. Average pit depths of external and internal for metallic water pipes were measured 1.38 mm and 2.13 mm, and internal pit growth rate also fasted twice than external pit growth rate. This means the corrosion potential of water quality was higher than soil. The corelation between external corrosion rate and each soil corrosion factor was low. However, proposed external non-linear regression corrosion model considering all soil corrosion factors showed a little higher correlation ($R^2=0.46$) than conventional model.

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Analysis of the Influence of Electrical Discharge Machining Parameters on Surface Roughness of CK45

  • Abedi, Esmail;Daneshmand, Saeed;Karimi, Iman;Neyestanak, A. A. Lotfi
    • Journal of Electrochemical Science and Technology
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    • v.6 no.4
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    • pp.131-138
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    • 2015
  • Electrical discharge machining is an unconventional machining process in which successive sparks applied to machine the electrically conductive materials. Any changes in electrical discharge machining parameters lead to the pieces with distinct surface roughness. The electrical discharge machining process is well applied for high hardness materials or when it is difficult to use traditional techniques to do material removing. Furthermore, this method is widely applied in industries such as aerospace, automobile, molding, and tool making. CK45 is one of the important steels in industrial and electrical discharge machining can be considered as a proper way for its machining because of high hardness of CK45 after thermal operation of the electrical discharge machining process. Optimization of surface roughness as an output parameters as well as electrical discharge machining parameters including current, voltage and frequency for electrical discharge machining of CK45 has been studied using copper tools and kerosene as the dielectric. For such a purpose and to achieve the precise statistical analysis of the experiment results design of experiment was applied while non linear regression method was chosen to assess the response of surface roughness. Then, the results were analyzed by means of ANOVA method and machining parameters with more effects on the desired outputs were determined. Finally, mathematical model obtained for surface roughness.

Estimation of Effective Population Size in the Sapsaree: A Korean Native Dog (Canis familiaris)

  • Alam, M.;Han, K.I.;Lee, D.H.;Ha, J.H.;Kim, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.8
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    • pp.1063-1072
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    • 2012
  • Effective population size ($N_e$) is an important measure to understand population structure and genetic variability in animal species. The objective of this study was to estimate $N_e$ in Sapsaree dogs using the information of rate of inbreeding and genomic data that were obtained from pedigree and the Illumina CanineSNP20 (20K) and CanineHD (170K) beadchips, respectively. Three SNP panels, i.e. Sap134 (20K), Sap60 (170K), and Sap183 (the combined panel from the 20K and 170K), were used to genotype 134, 60, and 183 animal samples, respectively. The $N_e$ estimates based on inbreeding rate ranged from 16 to 51 about five to 13 generations ago. With the use of SNP genotypes, two methods were applied for $N_e$ estimation, i.e. pair-wise $r^2$ values using a simple expectation of distance and $r^2$ values under a non-linear regression with respective distances assuming a finite population size. The average pair-wise $N_e$ estimates across generations using the pairs of SNPs that were located within 5 Mb in the Sap134, Sap60, and Sap183 panels, were 1,486, 1,025 and 1,293, respectively. Under the non-linear regression method, the average $N_e$ estimates were 1,601, 528, and 1,129 for the respective panels. Also, the point estimates of past $N_e$ at 5, 20, and 50 generations ago ranged between 64 to 75, 245 to 286, and 573 to 646, respectively, indicating a significant $N_e$ reduction in the last several generations. These results suggest a strong necessity for minimizing inbreeding through the application of genomic selection or other breeding strategies to increase $N_e$, so as to maintain genetic variation and to avoid future bottlenecks in the Sapsaree population.

Study upon the rheological properties and optimiztion of tofu bean products (두부콩들의 물성학적 기능성 비교 및 최적화에 관한 연구)

  • Yoon, Won B.;Hahm, Young T.;Kim, Byung Y.
    • Applied Biological Chemistry
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    • v.40 no.3
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    • pp.225-231
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    • 1997
  • Optimization theory was applied to a native and two imported soybeans. Failure stress and stress relaxation curve was measured with rheometer, and color was measured by colorimeter. The effects of each soybean upon the tofu texture were expressed through a non-linear canonical regression model and trace plot. Compared to the other imported soybeans, native soybean produced a higher strength in tofu texture, and showed the positive increase in viscoelastic properties such as instantaneous stress, equilibrium stress and relaxation time, whereas it had no effect on whiteness from reference blend, represented that native soy-bean showed the individual strength upon the selected rheological texture properties. Higher soaking ability in native soybean was selected as a new response for the optimization mixture process, and it contributed positively to the rheological properties of tofu. New soaking process control system during processing and desirability for the mathematical model should be applied for a better mixture design in varieties of soybeans.

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Diagnostic Performance for Detection of Hezicobacter Pyzori Infection in Gastric Biopsy Specimens with No Gold Test: Non-linear Regression Approach (위 조직 생검 시료의 Helicobacter pylori 균 검출에 사용되는 진단검사의 특성을 추정하기 위한 비선형 모형의 응용)

  • Pak, Son-Il;Kim, Doo
    • Journal of Veterinary Clinics
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    • v.20 no.1
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    • pp.7-11
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    • 2003
  • The selection of a test as a reference with no perfect sensitivity and specificity may lead to bias, yielding distortion of the diagnostic performance. This means it is inappropriate to use imperfect diagnostic tests as a reference method to identify infected patients in clinical environments. In this study, diagnostic performance of rapid urease test, polymerase chain reaction (PCR), and histology of gastric biopsy specimens for diagnosing Helicobacter pylori infection separately and in combination was estimated by using non-linear regression. Based on this approach, the sensitivity, specificity and likelihood ration positive and negative values for each test were as follows: urease test 99.9%, 99.9%, 99.9%, 99.6%, respectively; PCR 88.6%, 99.9%, 99.9%, 70.5%, respectively; histology 78.3%, 97%, 78.3%, 97%, respectively. Predictive values for positive and negative changes with varying Combination of three diagnostic tests employed in the study gives no substantial benefit for practitioners to screen infected patients, and urease test or PCR represents an appropriate single test in clinical environments.

Analysis of Androgen Receptor Gene by Capillary Gel Eelectrophoresis (모세관 젤 전기영동을 이용한 안드로젠 수용체 유전자 분석)

  • Kim, Yong-Seong;Baek, Seung-Gwon;Gang, Chung-Mu;Gang, Dae-Cheon;Lee, Su-Man;Choe, Byeong-Ok;Jeong, Gi-Hwa;Choe, Gyu-Seong
    • Journal of the Korean Chemical Society
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    • v.50 no.1
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    • pp.37-45
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    • 2006
  • gel electrophoresis (CGE) with poly(ethylene oxide) has been applied to the measurement of CAG repeat number in Androgen receptor (AR) gene related to male infertility. Non-linear regression analysis was performed using the standard X174 RF/Hae III, 100bp step ladder DNA in order to investigate the exact number of CAG repeat. For 79 Korean infertile males and 89 controls, CAG repeats at exon 1 in AR gene was compared and analyzed by CGE. It turned out that CAG repeat numbers were 24.972.6 range, 17-29) for the infertile male, and 23.992.4 range, 18-29) for the control, respectively. P value (0.018) was less then 0.05, meaning that the result was statistically meaningful.

Optimization of Data Recovery using Non-Linear Equalizer in Cellular Mobile Channel (셀룰라 이동통신 채널에서 비선형 등화기를 이용한 최적의 데이터 복원)

  • Choi, Sang-Ho;Ho, Kwang-Chun;Kim, Yung-Kwon
    • Journal of IKEEE
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    • v.5 no.1 s.8
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    • pp.1-7
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    • 2001
  • In this paper, we have investigated the CDMA(Code Division Multiple Access) Cellular System with non-linear equalizer in reverse link channel. In general, due to unknown characteristics of channel in the wireless communication, the distribution of the observables cannot be specified by a finite set of parameters; instead, we partitioned the m-dimensional sample space Into a finite number of disjointed regions by using quantiles and a vector quantizer based on training samples. The algorithm proposed is based on a piecewise approximation to regression function based on quantiles and conditional partition moments which are estimated by Robbins Monro Stochastic Approximation (RMSA) algorithm. The resulting equalizers and detectors are robust in the sense that they are insensitive to variations in noise distributions. The main idea is that the robust equalizers and robust partition detectors yield better performance in equiprobably partitioned subspace of observations than the conventional equalizer in unpartitioned observation space under any condition. And also, we apply this idea to the CDMA system and analyze the BER performance.

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An Estimation of the Average Waiting Cost of Vessels Calling Container Terminals in Northern Vietnam (북베트남 컨테이너 터미널에 기항하는 선박의 평균대기비용 추정)

  • Nguyen, Minh-Duc;Kim, Sung-june
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.1
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    • pp.27-33
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    • 2019
  • Several studies have been completed on the topic of container terminals in Northern Vietnam. Few of them, however, deal with competition in terms of costs related to vessel waiting time or cargo handling. This paper estimates the average waiting cost per TEU for all the container terminals in Northern Vietnam. After average waiting time was first estimated by applying queuing theory, uncertainty theory was applied to estimated vessel daily cost. A simulation was performed to create a series of data representing waiting cost per TEU in relation to the rate of volume handled/capacity of each terminal. Non-linear regression based on this series was used to present a function for the relationship between the average waiting cost of each terminal and the rate of volume handled /capacity.