TY - RPRT T1 - Using a Q Matrix to Assess Students' Latent Skills in an Online Course Y1 - 2018 A1 - Hsieh,Ping-Hung A1 - Chang,Xiaohui A1 - Olstad,Andrew KW - Business Analytics KW - Supply Chain UR - https://ecampus.oregonstate.edu/research/publications/white-papers/ U2 - d U4 - 162722347008 ID - 162722347008 ER - TY - HEAR T1 - Early Detection of Placement for Success in an Online Quantitative Class Y1 - 2016 A1 - Hsieh,Ping-Hung A1 - Chang,Xiaohui A1 - Olstad,Andrew KW - Business Analytics KW - Supply Chain JA - Joint Statistical Meetings CY - Chicago, IL U2 - c U4 - 144709447680 ID - 144709447680 ER - TY - JOUR T1 - Map? or List?based Recommender Agents? Does the Map Metaphor Fulfill its Promise? JF - Information Visualization Y1 - 2016 A1 - Reitsma,Reindert A1 - Hsieh,Ping-Hung A1 - Diekema,Anne A1 - Robson,Robby A1 - Zarsky,Malinda KW - BIS KW - Supply Chain AB - We present a spatialization of digital library content based on item similarity and an experiment which compares the performance of this spatialization relative to a simple list-based display. Items in the library are K-12 science and engineering learning resources. Spatialization and visualization are accomplished through 2D interactive Sammon mapping of pairwise item similarity scores based on the joint occurrence of word bigrams. The 65 science teachers participating in the experiment were asked to search the library for curricular items they would consider using in conducting one or more teaching assignments. Results indicate that whereas the spatializations adequately capture the salient features of the library’s content and teachers actively use them, item retrieval rates, task-completion time and perceived utility do not significantly differ from the semantically poorer but easier to comprehend and navigate list-based representations. These results put into question the usefulness of the rapidly increasing supply of information spatializations. VL - 16 UR - http://journals.sagepub.com/doi/abs/10.1177/1473871616669193 U2 - a U4 - 127142455296 ID - 127142455296 ER - TY - JOUR T1 - Decision Support for Unrelated Parallel-Machine Scheduling with Discrete Controllable Processing Times JF - Applied Soft Computing Y1 - 2015 A1 - Hsieh,Ping-Hung A1 - Yang,Suh-Jenq A1 - Yang,Dar-Li KW - Supply Chain VL - 30 U2 - a U4 - 105764984832 ID - 105764984832 ER - TY - CONF T1 - Estimation and Visualization of Digital Library Content Similarities T2 - Intern. Conf. on Inf. Systems (ICIS) 2015 Y1 - 2015 A1 - Reitsma,Reindert A1 - Hsieh,Ping-Hung A1 - Robson,Robby KW - BIS KW - Supply Chain AB - We report on a process for similarity estimation and two-dimensional mapping of lesson materials stored in a Web-based K12 Science, Technology, Engineering and Mathematics (STEM) digital library. The process starts with automated removal of all information which should not be included in the similarity estimations followed by automated indexing. Similarity estimation itself is conducted through a natural language processing algorithm which heavily relies on bigrams. The resulting similarities are then used to compute a Sammon-map; i.e., a projection in n dimensions, the item-to-item distances of which best reflect the input similarities. In this paper we concentrate on specification and validation of this process. The similarity results show almost 100% precision-by-rank in the top three to five ranks. Sammon mapping in two dimensions corresponds well with the digital library‘s table of content. JA - Intern. Conf. on Inf. Systems (ICIS) 2015 U2 - b U4 - 105616928768 ID - 105616928768 ER - TY - JOUR T1 - Process Control for the Vector Autoregressive Model JF - Quality and Reliability Engineering International Y1 - 2014 A1 - Cheng,Tsung-Chi A1 - Hsieh,Ping-Hung A1 - Yang,S.-F. KW - Supply Chain VL - 30 CP - 1 U2 - a U4 - 69374689280 ID - 69374689280 ER - TY - JOUR T1 - A Nonparametric Assessment of Model Adequacy Based on Kullback-Leibler Divergence JF - Statistics and Computing Y1 - 2013 A1 - Hsieh,Ping-Hung KW - Supply Chain VL - 23 CP - 2 U2 - a U4 - 2722312193 ID - 2722312193 ER - TY - JOUR T1 - Tales from the Tail: Robust Estimation of Moments of Environmental Data with One-Sided Detection Limits JF - Computational Statistics and Data Analysis Y1 - 2012 A1 - Hsieh,Ping-Hung KW - Supply Chain VL - 56 CP - 12 U2 - a U4 - 2722297857 ID - 2722297857 ER - TY - HEAR T1 - On the Hotelling T2 Control Chart for Vector Autoregressive Process Y1 - 2011 A1 - Hsieh,Ping-Hung A1 - Cheng,Tsung-Chi KW - Supply Chain JA - IEEE International Conference on Quality and Reliability CY - Bangkok, Thailand U2 - c U4 - 49989306368 ID - 49989306368 ER - TY - CONF T1 - On the Hotelling's T^2 Control Chart for Vector Autoregressive Process T2 - IEEE International Conference on Quality and Reliability Y1 - 2011 A1 - Hsieh,Ping-Hung A1 - Cheng,Tsung-Chi A1 - Yang,S.-F. KW - Supply Chain JA - IEEE International Conference on Quality and Reliability CY - Bangkok, Thailand U2 - b U4 - 49989294080 ID - 49989294080 ER - TY - JOUR T1 - A censored stochastic volatility approach to the estimation of price limit moves JF - Journal of Empirical Finance Y1 - 2009 A1 - Hsieh,Ping-Hung A1 - Yang,Jimmy KW - Finance KW - Supply Chain AB - A censored stochastic volatility model is developed to reconstruct a return series censored by price limits, one popular form of market stabilization mechanisms. When price limits are reached, the observed prices are truncated and the equilibrium prices are unobservable, which makes further financial analyses difficult. The model offers theoretically sound estimates of censored returns and is demonstrated via simulations to outperform existing approaches with respect to the estimates of model parameters, unconditional means, and standard deviations. The algorithm is applied to model stock and futures returns and results are consistent with the simulation outcomes.

VL - 16 CP - 2 U2 - a U4 - 2658519041 ID - 2658519041 ER - TY - JOUR T1 - Extreme Value Analysis for Partitioned Insurance Loss JF - Variance: advancing the science of risk Y1 - 2009 A1 - Henry III,John B. A1 - Hsieh,Ping-Hung KW - Supply Chain AB - The heavy-tailed nature of insurance claims requires that special attention be put into the analysis of the tail behavior of a loss distribution. It has been demonstrated that the distribution of large claims of several lines of insurance have Pareto-type tails. As a result, estimating the tail index, which is a measure of the heavy-tailedness of a distribution, has received a great deal of attention. Although numerous tail index estimators have been proposed in the literature, many of them require detailed knowledge of individual losses and are thus inappropriate for insurance data in partitioned form. In this study we bridge this gap by developing a tail index estimator suitable for partitioned loss data. This estimator is robust in the sense that no particular global density is assumed for the loss distribution. Instead we focus only on fitting the model in the tail of the distribution where it is believed that the Pareto-type form holds. Strengths and weaknesses of the proposed estimator are explored through simulation and an application of the estimator to real world partitioned insurance data is given. VL - 3 CP - 2 U2 - a U4 - 22474360833 ID - 22474360833 ER - TY - JOUR T1 - The magnet effect of price limits: a logit approach JF - Journal of Empirical Finance Y1 - 2009 A1 - Hsieh,Ping-Hung A1 - Kim,Yong H A1 - Yang,Jimmy KW - Finance KW - Supply Chain AB - We investigate the magnet effect of price limits using transaction data from the Taiwan Stock Exchange. A logit model incorporates explanatory variables from microstructure literature and reveals that the conditional probability of a price increase (decrease) increases significantly when the price approaches the upper (lower) price limit, in support of the magnet effect. Our approach recognizes when the magnet effect starts to emerge and identifies possible determinants of magnet effect. The probability of information-based trading has a significant impact on the magnet effect for lower price limits.

VL - 16 CP - 5 U2 - a U4 - 2658545665 ID - 2658545665 ER - TY - HEAR T1 - On Optimal Stopping Rules of Mixtures of Regression Lines Y1 - 2009 A1 - Hsieh,Ping-Hung KW - Supply Chain JA - National Joint Staitstical Meetings CY - Washington, DC U2 - c U4 - 22475462657 ID - 22475462657 ER - TY - HEAR T1 - The Magnet Effect of Price Limits: Evidence from Transactions Data Y1 - 2007 A1 - Hsieh,Ping-Hung A1 - Kim,Yong H. A1 - Yang,Jimmy KW - Finance KW - Supply Chain JA - Asian Finance Association Meeting CY - Hong Kong U2 - c U4 - 8582131713 ID - 8582131713 ER - TY - JOUR T1 - On Social Dynamics Factors in Multi-stakeholder Decision Making in the Early State of Product Development JF - Journal of Design Research Y1 - 2007 A1 - Ge,Ping A1 - Hsieh,Ping-Hung KW - Supply Chain AB - When design decisions are made by a group of diverse stakeholders, the decision making process is affected by both technical and social dynamic factors and the design results are consequently a product of the joint influences. Though it is important, the role of social dynamic factors in design process is currently not well understood. In this work, our study is focused on a prioritising problem concerning understanding customer needs at the early stage, in particular, identifying Quality Requirements and their relative importance. We introduced one among many social dynamic factors, i.e. trust and investigated its role in the early stage design decision making of product development. Derived from the definition and principle forms of general trust, the trust concept used in the prioritising problem for our study is specified. The existing measurement scales used in social science are modified for measuring the trust in terms of trustworthiness. VL - 6 CP - 1/2 U2 - a U4 - 2722242561 ID - 2722242561 ER - TY - JOUR T1 - Using an Updating Urn-scheme for Prioritzing Quality Requirements in the Early Stage of Collaboration Design JF - Journal of Design Research Y1 - 2007 A1 - Hsieh,Ping-Hung A1 - Ge,Ping A1 - Meier,Stefan KW - Supply Chain VL - 6 CP - 4 U2 - a U4 - 646821888 ID - 646821888 ER - TY - JOUR T1 - Gauging the Effects of Dependences on Control in Industrial Distribution Channels: Response Surface Approach JF - International Journal of Research in Marketing Y1 - 2006 A1 - Kim,Steve A1 - Hsieh,Ping-Hung KW - Marketing KW - Supply Chain VL - 23 U2 - a U4 - 646807552 ID - 646807552 ER - TY - HEAR T1 - The Magnet Effect of Price Limits: Evidence from Transactions Data Y1 - 2006 A1 - Hsieh,Ping-Hung A1 - Kim,Yong H. A1 - Yang,Jimmy KW - Finance KW - Supply Chain JA - National Joint Statistical Meetings CY - Seattle, Washington U2 - c U4 - 2722437121 ID - 2722437121 ER - TY - HEAR T1 - The magnet effect of price limits: evidence from transactions data Y1 - 2006 A1 - Yang,Jimmy A1 - Hsieh,Ping-Hung A1 - Kim,Yong H. KW - Finance KW - Supply Chain JA - Financial Management Association meeting CY - Salt Lake City, Utah U2 - c U4 - 649934848 ID - 649934848 ER - TY - HEAR T1 - Tail Index Estimation for Partitioned Insurance Losses Y1 - 2005 A1 - Hsieh,Ping-Hung A1 - Henry III,John B. KW - Supply Chain JA - National Joint Statistical Meetings CY - Minneapolis, Minnesota U2 - c U4 - 2722408449 ID - 2722408449 ER - TY - JOUR T1 - A Data-Analytic Method for Forecasting Next Record Catastrophe Loss JF - Journal of Risk and Insurance Y1 - 2004 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - We develop in this article a data-analytic method to forecast the severity of next record insured loss to property caused by natural catastrophic events. The method requires and employs the knowledge of an expert and accounts for uncertainty in parameter estimation. Both considerations are essential for the task at hand because the available data are typically scarce in extreme value analysis. In addition, we consider three-parameter Gamma priors for the parameter in the model and thus provide simple analytical solutions to several key elements of interest, such as the predictive moments of record value. As a result, the model enables practitioners to gain insights into the behavior of such predictive moments without concerning themselves with the computational issues that are often associated with a complex Bayesian analysis. A data set consisting of catastrophe losses occurring in the United States between 1990 and 1999 is analyzed, and the forecasts of next record loss are made under various prior assumptions. We demonstrate that the proposed method provides more reliable and theoretically sound forecasts, whereas the conditional mean approach, which does not account for either prior information or uncertainty in parameter estimation, may provide inadmissible forecasts. VL - 71 CP - 2 U2 - a U4 - 646819840 ID - 646819840 ER - TY - HEAR T1 - On Examining Asymmetric Behavior of Price Limit Moves Y1 - 2004 A1 - Hsieh,Ping-Hung A1 - Yang,J. Jimmy KW - Supply Chain JA - National Joint Statistical Meetings CY - Toronto, Canada U2 - c U4 - 646834176 ID - 646834176 ER - TY - HEAR T1 - Tales from the Tails: Two of My Current Studies on Observations Residing in the Tails of a Distribution Y1 - 2004 A1 - Hsieh,Ping-Hung KW - Supply Chain JA - Seminar Series CY - Corvallis, 91 U2 - c U4 - 2722385921 ID - 2722385921 ER - TY - JOUR T1 - Interdependence and its Consequence in Distributor-Supplier Relationships: A Distributor Perspective Through Response Surface Approach JF - Journal of Marketing Research Y1 - 2003 A1 - Kim,Steve A1 - Hsieh,Ping-Hung KW - Marketing KW - Supply Chain AB - Interdependence and its consequences in marketing channels have received substantial research attention, but two issues remain unresolved. First, the validity of the extant methods to measure interdependence has not been verified, and those methods have not been contrasted. Second, the impact of interdependence on an outcome variable is difficult to analyze and its potential to provide managerial insight hampered. To address those gaps, the authors first review prior approaches. The review of prior approaches raises key methodological and theoretical issues in measuring interdependence and analyzing its impacts, including the additivity of distributor and supplier dependences for measurement of interdependence and the nonlinear functional forms of dependences for the impact of interdependence.The authors use the response surface approach (RSA) and derive three managerial insights that can be garnered from its use: interdependence for the highest (lowest) level of an outcome, directions for change in interdependence, and change in outcome when receding from the ideal combination. They apply RSA to the relationship between interdependence and three outcome variables—distributor commitment, bilateral communication, and supplier control—in industrial distributor”supplier relationships and contrast it with previous methods. The empirical study results suggest that (a) distributors perceive differential effects of supplier dependence and distributor dependence on outcome variables and (b) highest magnitude and lowest asymmetry of interdependence do not lead to the highest distributor commitment or supplier control. From a distributor's standpoint, highest commitment and supplier control occur when distributor dependence is high and supplier dependence is modest. The following implications emerge: Distributor dependence and supplier dependence must be decoupled and treated separately. Distributor dependence can be encouraged and nurtured, while supplier dependence needs to be kept moderate. A supplier's too little or too great dependence on a distributor will deteriorate channel outcomes, at least from a distributor's point of view. VL - XL CP - 1 U2 - a U4 - 646811648 ID - 646811648 ER - TY - JOUR T1 - The Return on R&D Versus Capital Expenditures in the Pharmaceutical and Chemistry Industies JF - IEEE Transactions on Engineering Management Y1 - 2003 A1 - Hsieh,Ping-Hung A1 - Mishra,C. S. A1 - Gobeli,Dave KW - Strategy & Entrepreneurship KW - Supply Chain AB - The impact of research and development (R&D) on firm performance is generally agreed to be positive, but the nature and extent of this impact share little agreement in the previous research. Using an improved, time series, cross-sectional regression model that accounts for both contemporaneous and firm-specific serial correlation, as well as the feedback between firm profitability and investments, our study compares the rate of return from a dollar investment on R&D to a dollar investment on fixed assets in pharmaceutical and chemical industries. We find positive associations of R&D intensity and all variables of firm performance (net margin, operating margin, sales growth, and market value). We find that an investment in R&D earns an operating margin return much higher than the industry cost of capital. We also find that the effect of an investment in R&D on the firm's market value is about twice as much the effect of an investment in fixed assets. These findings have implications for corporate investment strategies, indicating that additional R&D investment is more likely to provide a firm with a unique and sustainable competitive advantage. VL - 50 CP - 2 U2 - a U4 - 646096896 ID - 646096896 ER - TY - HEAR T1 - Tales from the Tail: Robust Moment Estimation for Singly Censored Environmental Data Y1 - 2003 A1 - Hsieh,Ping-Hung A1 - Cheng,Tsung-Chi KW - Supply Chain JA - National Joint Statistical Meetings CY - San Francisco, California U2 - c U4 - 646828032 ID - 646828032 ER - TY - JOUR T1 - An Exploratory First Step in Teletraffic Data Modeling: Evaluation of Long-run Performance of Parameter Estimators JF - Computational Statistics and Data Analysis Y1 - 2002 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - Examination of the tail behavior of a distribution F that generates teletraffic measurements is an important first step toward building a network model that explains the link between heavy tails and long-range dependence exhibited in such data. When knowledge of the tail behavior of F is vague, the family of the generalized Pareto distributions (GPDs) can be used to approximate the tail probability of F, and the value of its shape parameter characterizes the tail behavior. To detect tail behavior of F between two host computers on a network, the estimation procedure must be carried out over all possible combinations of host computers, and thus, the performance of the estimator under repeated use becomes the primary concern. In this article, we evaluate the long-run performance of several existing estimation procedures and propose a Bayes estimator to overcome some of the shortcomings. The conditions in which the procedures perform well in the long run are reported, and a simple rule of thumb for choosing an appropriate estimator for the task of repeated estimation is recommended. VL - 40 CP - 2 U2 - a U4 - 646813696 ID - 646813696 ER - TY - HEAR T1 - Forecasting Next Record Catastrophic Property Losses Using Extreme Value Theory Y1 - 2002 A1 - Hsieh,Ping-Hung KW - Supply Chain JA - Taipei International Statistical Symposium and Bernoulli Society EAPR Conference CY - Taipei, Taiwan U2 - c U4 - 646830080 ID - 646830080 ER - TY - JOUR T1 - On Bayesian Predictive Moments of Next Record Value Using Three-parameter Gamma Priors JF - Communications in Statistics - Theory & Methods Y1 - 2001 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - A forecasting model of next record value proposed by Hill [1] assumes the underlying distribution F(x) is of an algebraic functional form with a shape parameter a for large x. That is, 1 - F(x) ?Cx-a, for large x. In this article, we extend his model by incorporating a three-parameter Gamma prior of a to derive analytical solutions of the predictive distribution and moments of X given that X is a new record value. These closed-form formulas can be represented as ratios of moments of Gamma distributions. We apply the proposed model to a real-life data set that consists of the insured property losses of 33 catastrophes caused by tropical storms in the United States in 1995. The example illustrates the importance of incorporating prior experience and accounting for uncertainty in parameter estimation when forecasting record values. Both considerations are the main ingredients in the development of the proposed model. VL - 30 CP - 4 U2 - a U4 - 646817792 ID - 646817792 ER - TY - HEAR T1 - Discrepancy Assessment of Model Fitness Against Nonparametric Alternatives Y1 - 2001 A1 - Hsieh,Ping-Hung KW - Supply Chain JA - National Joint Statistical Meetings CY - Atlanta, Georgia U2 - c U4 - 646825984 ID - 646825984 ER - TY - JOUR T1 - Modeling the Frequency and Severity of Extreme Exchange Rate Returns JF - Journal of Forecasting Y1 - 2001 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - Risk managers are often concerned about tail probabilities of asset return distributions, in particular the frequency and severity of extreme returns. In this article, we propose a model that integrates extreme value theory and point processes to model the frequency and severity of exchange rate returns. The proposed model is applied to daily spot exchange rate series and the parameters of interest, such as the tail index, the mean size and rate of occurrence of extreme returns, are estimated using maximum likelihood estimation. We study the impact of recent currency crises on the frequency and severity of the series and find that, during 1995-9, the frequency of extreme daily Japanese yen-US dollar spot exchange rate returns increases twofold, and the time duration of high volatility persists longer for the Japanese yen series than for the Swiss franc and Danish krone series. Copyright © 2001 John Wiley & Sons, Ltd. VL - 20 CP - 7 U2 - a U4 - 646815744 ID - 646815744 ER - TY - JOUR T1 - Robustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties JF - Risk Analysis Y1 - 2001 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - In this study, the tail probability of a class of distributions commonly used in assessing the severity of insurance losses was examined. Without specifying any particular distribution, the use of an algebraic functional form Cx to approximate the tail behavior of the distributions in the class was demonstrated. Norwegian fire insurance data were examined, and the algebraic functional form was applied to derive the expected loss of a reinsurance treaty that covers all losses exceeding a retention limit. It was shown that (1) the expected loss is insensitive to the parameter á for a high retention limit (e.g., a catastrophe treaty), and (2) with a low retention limit (e.g., a largest claim treaty), a reliable estimate of the parameter á and a sound judgment on the maximum potential loss of the treaty could provide useful and defensible summary statistics for pricing the treaty. Thus, when dealing with the losses of certain reinsurance treaties, it was concluded that knowledge of a specific probability distribution is not critical, and the summary statistics derived from the model are robust with respect to a large class of loss distributions. VL - 21 CP - 2 U2 - a U4 - 646809600 ID - 646809600 ER - TY - HEAR T1 - The Returns to R&D and Capital Expenditures in the Pharmaceuticals and Chemicals Industry Y1 - 2000 A1 - Hsieh,Ping-Hung A1 - Mishra,Chandra S. A1 - Gobeli,David H. KW - Supply Chain JA - Financial Management Association International Annual Meeting CY - Seattle, Washington U2 - c U4 - 646832128 ID - 646832128 ER - TY - HEAR T1 - Robustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties Y1 - 1999 A1 - Hsieh,Ping-Hung KW - Supply Chain JA - National Joint Statistical Meetings CY - Baltimore, Maryland U2 - c U4 - 646836224 ID - 646836224 ER - TY - JOUR T1 - Robustness of Tail Index Estimation JF - Journal of Computational and Graphical Statistics Y1 - 1999 A1 - Hsieh,Ping-Hung KW - Supply Chain AB - The implementation of the Hill estimator, which estimates the heaviness of the tail of a distribution, requires a choice of the number of extreme observations in the tails, $r$, from a sample of size $n$, where $2 \leq r+1 \leq n$. This article is concerned with a robust procedure of choosing an optimal $r$. Thus, an estimation procedure, $\delta_s$, based on the idea of spacing statistics, $H^{(r)}$, is developed. The proposed decision rule for choosing $r$ under the squared error loss is found to be a simple function of the sample size. The proposed rule is then illustrated across a wide range of data, including insurance claims, currency exchange rate returns, and city size. VL - 8 CP - 2 U2 - a U4 - 646823936 ID - 646823936 ER -