DSpace collection: 會議論文

Threshold Regression for Interval-censored Failure Time with a Cure Rate Analysis: thregI Package

Thu, 19 Mar 2026 04:06:10 GMT

title: Threshold Regression for Interval-censored Failure Time with a Cure Rate Analysis: thregI Package

國際收支、國內生產毛額與消費者物價指數關聯性分析-以台灣與日本為例

Thu, 12 Mar 2026 04:06:06 GMT

title: 國際收支、國內生產毛額與消費者物價指數關聯性分析-以台灣與日本為例

台灣人力資本對經濟成長率的影響-以金融保險業為例

Thu, 12 Mar 2026 04:06:02 GMT

title: 台灣人力資本對經濟成長率的影響-以金融保險業為例 abstract: 藉由經濟成長理論與時間序列法作為主軸，探討金融保險業的經濟成長率、受雇人口及台灣的經濟成長率之間的關係，並觀察畢業生雇用人數在33年來的趨勢變化。首先針對金融保險業之現況進行觀察，並收集其變數，接著運用單根檢定法、最適落後期數選取進行數據之處理，最後運用因果關係檢定法檢測出結果。針對所需探討的兩個問題：人力資本對金融保險業經濟成長的影響及金融保險業的經濟成長變化對我國經濟成長的影響，個別呈現出對應結果，人力資本對金融保險業經濟成長率的影響呈現結果為無相關；金融保險業的經濟成長率對我國經濟成長率的影響呈現單向影響關係。

The Relationship Between Taiwan-Vietnam Bilateral Trade and Taiwan’s Macroeconomic Factors

Thu, 12 Mar 2026 04:05:58 GMT

title: The Relationship Between Taiwan-Vietnam Bilateral Trade and Taiwan’s Macroeconomic Factors

Functional Data Classification Using Subspace Projection

Thu, 23 Oct 2025 04:07:26 GMT

title: Functional Data Classification Using Subspace Projection

Enhancing sustainable finance literacy through team-based experiential learning: Bridging theory and practice.

Fri, 19 Sep 2025 04:08:13 GMT

title: Enhancing sustainable finance literacy through team-based experiential learning: Bridging theory and practice.

Supervised classification of functional data using subspace projection: An application to electrocardiogram data

Tue, 16 Sep 2025 04:09:15 GMT

title: Supervised classification of functional data using subspace projection: An application to electrocardiogram data

Performance-based carbon emission abatement allocation.

Thu, 20 Mar 2025 04:06:00 GMT

title: Performance-based carbon emission abatement allocation.

Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Thu, 20 Mar 2025 04:05:56 GMT

title: Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Thu, 20 Mar 2025 04:05:52 GMT

title: Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Mon, 23 Dec 2024 04:05:56 GMT

title: Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Mon, 16 Dec 2024 04:05:49 GMT

title: Empirical-Likelihood-Based Model Selection Criteria for Missing Longitudinal Data

Development of a cross-ethnic polygenic risk scoring method: Taking the Taiwan Biobank and the UK Biobank as examples

Fri, 13 Sep 2024 04:05:20 GMT

title: Development of a cross-ethnic polygenic risk scoring method: Taking the Taiwan Biobank and the UK Biobank as examples

利用相似度指標於有無地圖上偵測物種關聯性

Tue, 08 Aug 2023 04:05:35 GMT

title: 利用相似度指標於有無地圖上偵測物種關聯性

Generalized linear model with functional covariate and its derivatives

Tue, 08 Aug 2023 04:05:32 GMT

title: Generalized linear model with functional covariate and its derivatives

Optimal inventory policy with trade credit and demand depends on product freshness, expiration date and advertisement

Fri, 28 Apr 2023 10:11:26 GMT

title: Optimal inventory policy with trade credit and demand depends on product freshness, expiration date and advertisement

Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution

Fri, 28 Apr 2023 10:11:19 GMT

title: Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution abstract: An analytical bias-corrected maximum likelihood estimation procedure and a bootstrap bias-corrected maximum likelihood estimation procedure are proposed for the inverse Gaussian distribution (IGD) to obtain more reliable maximum likelihood estimates (MLEs) of the model parameters and the generalized process capability index (PCI) proposed by Maiti et al. (2010) when the sample size is small. An approximate confidence interval (ACI) of the generalized PCI is obtained for the IGD via using the delta method and the obtained reliable MLEs of the model parameters. Monte Carlo simulations were conducted to evaluate the performance of two proposed estimation methods. Simulation results show that two proposed bias-correction methods outperform the typical maximum likelihood estimation method when the sample size is small in terms of the relative bias and relative mean squared error. © 2022 International Society of Science and Applied Technologies

Generalized linear model with functional covariate and its derivatives

Thu, 09 Jun 2022 04:11:20 GMT

title: Generalized linear model with functional covariate and its derivatives abstract: A generalized functional linear regression model is proposed by considering a functional covariate and its derivatives as functional predictors. The unobserved derivatives of a random function may carry useful information and need to be estimated. We apply the notion of functional principal component analysis to modeling functional predictors. The proposed regression model is parameterized in various ways to investigate the effect of each functional predictor. The performance of the proposed method is demonstrated through a traffic data example.

Geographically weighted hurdle models for zero-inflated count data

Thu, 20 Jan 2022 04:12:51 GMT

title: Geographically weighted hurdle models for zero-inflated count data

馬斯克為何大賣Tesla股票?

Thu, 20 Jan 2022 04:12:48 GMT

title: 馬斯克為何大賣Tesla股票?

基於不正確登錄之雙零件供應商型一區間設限資料之可靠度推論

Wed, 22 Dec 2021 04:11:01 GMT

title: 基於不正確登錄之雙零件供應商型一區間設限資料之可靠度推論 abstract: 本研究討論當一產品的零件由雙供應商提供，使用型一區間設限方案來登錄資料,但資料登錄不正確下，如何進行產品的可靠度推論，研究中將討論如何使用剖面最大概似估計法及貝氏估計法來得到推論的結果，並以一組 VGA 轉接器的實際案例說明本方法的應用。

基於不正確登錄之雙零件供應商型一區間設限資料之可靠度推論

Wed, 22 Dec 2021 04:10:58 GMT

title: 基於不正確登錄之雙零件供應商型一區間設限資料之可靠度推論 abstract: 本研究討論當一產品的零件由雙供應商提供，使用型一區間設限方案來登錄資料，但資料登錄不正確下，如何進行產品的可靠度推論，研究中將討論如何使用剖面最大概似估計法及貝氏估計法來得到推論的結果，並以一組 VGA 轉接器的實際案例說明本方法的應用。

Prediction Interval of Future Waiting Times of the Two- Parameter Exponential Distribution under Multiply Type II Censoring

Fri, 24 Sep 2021 04:16:44 GMT

title: Prediction Interval of Future Waiting Times of the Two- Parameter Exponential Distribution under Multiply Type II Censoring abstract: We use the general weighted moments estimator (GWME) of the scale parameter of the two-parameter exponential distribution based on a multiply type II censored sample to construct the pivotal quantities for the use of the prediction intervals of future waiting times. This estimator has been shown to have better performance than the other fourteen estimators in terms of mean square error. At last, one real life example is given to illustrate the prediction intervals based on GWMEs.

Hierarchical Bayesian modeling estimation method for inferring the population proportion of having a sensitive nature

Fri, 24 Sep 2021 04:16:41 GMT

title: Hierarchical Bayesian modeling estimation method for inferring the population proportion of having a sensitive nature

Analysis of the estimation of process capability index of non-normal process data using the lognormal distributions

Thu, 06 May 2021 04:12:10 GMT

title: Analysis of the estimation of process capability index of non-normal process data using the lognormal distributions

Geographically Weighted Regression Analysis for Multivariate Response

Fri, 19 Mar 2021 04:11:26 GMT

title: Geographically Weighted Regression Analysis for Multivariate Response abstract: Geographically weighted regression (GWR) has been a popular tool widely applied in various disciplines to explore spatial nonstationarity for georeferenced data. Such technique, however, typically restricts the analysis on a single outcome variable to reveal its spatial nonstationary pattern explaining with a set of explanatory variables. When it comes to model multiple interrelated response variables, GWR fails to provide sufficient information of the data as it only allows the separate modeling for each response variable. This study attempts to address the gap by introducing a geographically weighted multivariate multiple regression (GWMMR) technique capable to explore spatial nonstationarity but also to account correlations across multivariate responses. We present the model specification of the proposed method and construct the associated statistical inferences. Certain related modeling issues which include the test of spatial nonstationarity and a semiparametric version of the GWMMR are also discussed. For an empirical illustration, the new technique is applied to the stop-and-frisk data published by the New York Police Department. The analysis results and prediction performance are then compared with those obtained by other existing analytical tools. The results demonstrate the usefulness of the GWMMR in that it can examine the differences possibly overlooked in univariate analysis and understand the multiple outcomes as a system rather than isolated investigations.

On the Use of Geographically Weighted Count Models

Fri, 19 Mar 2021 04:11:23 GMT

title: On the Use of Geographically Weighted Count Models abstract: The past years have experienced growth in the methodological development that intend to explore spatial nonsationarity for spatially count data based on the technique of geographically weighted regression. Several geographically weighted count models have been introduced in literature to deal with the challenges of analyzing the count data without/with overdispersion and/or excessive zeros. However, researchers have lagged to provide a comparative assessment across all the proposed methods. In this study, we argue that spatial analysts should pay sufficient attention to analytical model comparisons since different geographically weighted count models may generate competing accounts of the same data set. Here we first review the existing techniques and introduce geographically weighted zero-inflated negative binomial model as a methodological complement. Several qualitative measures and graphical tools are then suggested to compare among various GW count models. We also illustrate their utility using an example from a study of Taiwan dengue data. The results demonstrate the importance of model comparisons in investigating spatial nonstationarity for spatial count data analyses.

半參數空間模型於所得分配不均資料之應用

Fri, 19 Mar 2021 04:11:21 GMT

title: 半參數空間模型於所得分配不均資料之應用 abstract: 本研究提出一個非平穩半參數空間模型(non-stationary semi-parametric spatial model)來描述所得分配不均於空間上的相依性。該模型為數個基底函數(basis function)及平穩過程(stationary process)的線性組合，由於此模型有大量參數需要估計，我們使用 Tibshirani(1996)提出的最小絕對壓縮與篩選運算法(least absolute shrinkage and selection operator, lasso)進行參數估計，該方法可以同時估計參數及作變數選取。本研究將估計結果繪製成空間分佈圖，透過空間分佈圖來描述歐洲地區所得分配不均資料在空間上的分佈情形。根據研究結果顯示，波羅地海三小國：愛沙尼亞(Estonia)、拉脫維亞(Latvia)及立陶宛(Lithuania)的變異程度較大；所得分配不均於愛沙尼亞(Estonia)和瑞典(Sweden)附近有較高的相依性，在德國(Germany)、英國(UK)及西班牙(Spain)附近相依性較低。

An Empirical Study of Corporate-Sponsored Foundation and Tax Avoidance

Wed, 25 Nov 2020 04:10:43 GMT

title: An Empirical Study of Corporate-Sponsored Foundation and Tax Avoidance

The more contagion effect on equity markets: The evidence of DCC-GARCH mode

Wed, 25 Nov 2020 04:10:41 GMT

title: The more contagion effect on equity markets: The evidence of DCC-GARCH mode

An extension of multi-location newsboy problem with lost sale depends on holding time

Fri, 20 Nov 2020 04:10:37 GMT

title: An extension of multi-location newsboy problem with lost sale depends on holding time

A Case Study of Elementary Statistics

Fri, 20 Nov 2020 04:10:35 GMT

title: A Case Study of Elementary Statistics

Export and Economic Growth: the analysis of Asean 10 countries

Fri, 20 Nov 2020 04:10:33 GMT

title: Export and Economic Growth: the analysis of Asean 10 countries

半參數空間模型於所得分配不均資料之應用

Wed, 21 Oct 2020 04:10:28 GMT

title: 半參數空間模型於所得分配不均資料之應用 abstract: 本研究提出一個非平穩半參數空間模型(non-stationary semi-parametric spatial model)來描述所得分配不均於空間上的相依性。該模型為數個基底函數(basis function)及平穩過程(stationary process)的線性組合，由於此模型有大量參數需要估計，我們使用 Tibshirani (1996)提出的最小絕對壓縮與篩選運算法(least absolute shrinkage and selection operator, lasso)進行參數估計，該方法可以同時估計參數及作變數選取。本研究將估計結果繪製成空間分佈圖，透過空間分佈圖來描述歐洲地區所得分配不均資料在空間上的分佈情形。根據研究結果顯示，波羅地海三小國：愛沙尼亞(Estonia)、拉脫維亞(Latvia)及立陶宛(Lithuania)的變異程度較大；所得分配不均於愛沙尼亞(Estonia)和瑞典(Sweden)附近有較高的相依性，在德國(Germany)、英國(UK)及西班牙(Spain)附近相依性較低。

破解遺傳率缺失之謎

Thu, 17 Sep 2020 04:12:54 GMT

title: 破解遺傳率缺失之謎

Exploring the feasibility of data augmentation while using smaller biobank data sets

Thu, 17 Sep 2020 04:12:53 GMT

title: Exploring the feasibility of data augmentation while using smaller biobank data sets abstract: Empowered by new computing technology and low genotyping cost, large biobank projects like UK Biobank (UKB) have had fruitful results in the advancement of biomedical sciences. However, there are several smaller biobanks sampling from different ethnic groups and the statistical power to detect any association from these datasets is lower. Data augmentation by synthesizing unobserved samples show promising results in the application of machine learning algorithms. Here, we hypothesized that augmentation of small biobank data can increase statistical power and detect reliable association signals. A two-step strategy was adopted. First, control samples were filtered using Partition Around Medoids Algorithm, using the entire phenome to divide controls into clusters according to comorbidity. To reduce the heterogeneity, only samples not in the same cluster for the phenotype of interest were used as controls. Second, cases and controls were stratified by age and gender. By applying Synthetic Minority Oversampling Technique on each stratum, artificial cases and controls were generated. In this study, we chose to use asthma as the phenotype. Dataset from Caucasians in UKB (UKB-C, NCtotal=204,893, NC-case=31,303) and a random sample were selected (UKB-CS, NCS-total=24,000, NCScase=3,612). Fourteen linkage disequilibrium peaks (p≤10-8) from UKB-C GWAS were used as targets for comparison. Only HLA region was replicated using UKB-CS. Our strategy was then applied to UKBCS. The real-to-artificial sample ratio (RAR) ranged from 4 (4 real and one artificial sample) to 1. Compared to targets from UKB-Cdata, 4 peaks were replicated when RAR=4, 5 when RAR=3, 6 when RAR=2 and 11 when RAR = 1. HLA region was prominent for every RAR. When RAR=2, false positive peaks seemed modest; almost half of the signals could be replicated when roughly 1/9 of the UKB-C samples were used. The above procedure was applied to data from Taiwan Biobank (TWB, NT-total=23,942, NT-case=2069). Without augmentation, only HLA region was significant. When RAR=2 for TWB and UKB-CS, GWAS results showed a similar trend. In addition to HLA region, only two other regions were replicated for TWB. Population heterogeneity may contribute to this discrepancy. Our results showed that data augmentation is promising, however caution needs to be taken with respect to input data quality and possible stratification, etc. More testing of augmentation algorithms should be done to further evaluate for performance.

Phase II Monitoring of Autocorrelated General Linear Profiles

Thu, 17 Sep 2020 04:12:50 GMT

title: Phase II Monitoring of Autocorrelated General Linear Profiles

Retailer's optimal ordering policy under customer relationship management and product life cycle

Thu, 24 Oct 2019 04:10:45 GMT

title: Retailer's optimal ordering policy under customer relationship management and product life cycle

Inference on the potential lifetimes of products from damage data

Thu, 24 Oct 2019 04:10:40 GMT

title: Inference on the potential lifetimes of products from damage data

Parameter estimation for Burr type XII distribution with differential evolution approach based on progressively type I interval-censored samples

Thu, 24 Oct 2019 04:10:36 GMT

title: Parameter estimation for Burr type XII distribution with differential evolution approach based on progressively type I interval-censored samples