%0 Report
%D 2018
%T Using a Q Matrix to Assess Students' Latent Skills in an Online Course
%A Hsieh,Ping-Hung
%A Chang,Xiaohui
%A Olstad,Andrew
%K Business Analytics
%K MBA
%K Supply Chain
%8 2018
%G eng
%U https://ecampus.oregonstate.edu/research/publications/white-papers/
%2 d
%4 162722347008
%$ 162722347008
%0 Generic
%D 2016
%T Early Detection of Placement for Success in an Online Quantitative Class
%A Hsieh,Ping-Hung
%A Chang,Xiaohui
%A Olstad,Andrew
%K Business Analytics
%K MBA
%K Supply Chain
%B Joint Statistical Meetings
%C Chicago, IL
%8 2016
%G eng
%2 c
%4 144709447680
%$ 144709447680
%0 Journal Article
%J Information Visualization
%D 2016
%T Map‑ or List‑based Recommender Agents? Does the Map Metaphor Fulfill its Promise?
%A Reitsma,Reindert
%A Hsieh,Ping-Hung
%A Diekema,Anne
%A Robson,Robby
%A Zarsky,Malinda
%K BIS
%K MBA
%K Supply Chain
%X 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.
%B Information Visualization
%V 16
%P 291-308
%8 2016
%G eng
%U http://journals.sagepub.com/doi/abs/10.1177/1473871616669193
%2 a
%4 127142455296
%$ 127142455296
%0 Journal Article
%J Applied Soft Computing
%D 2015
%T Decision Support for Unrelated Parallel-Machine Scheduling with Discrete Controllable Processing Times
%A Hsieh,Ping-Hung
%A Yang,Suh-Jenq
%A Yang,Dar-Li
%K MBA
%K Supply Chain
%B Applied Soft Computing
%V 30
%P 475-483
%8 2015
%G eng
%2 a
%4 105764984832
%$ 105764984832
%0 Conference Paper
%B Intern. Conf. on Inf. Systems (ICIS) 2015
%D 2015
%T Estimation and Visualization of Digital Library Content Similarities
%A Reitsma,Reindert
%A Hsieh,Ping-Hung
%A Robson,Robby
%K BIS
%K MBA
%K Supply Chain
%X 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.
%B Intern. Conf. on Inf. Systems (ICIS) 2015
%8 2015
%G eng
%2 b
%4 105616928768
%$ 105616928768
%0 Journal Article
%J Quality and Reliability Engineering International
%D 2014
%T Process Control for the Vector Autoregressive Model
%A Cheng,Tsung-Chi
%A Hsieh,Ping-Hung
%A Yang,S.-F.
%K MBA
%K Supply Chain
%B Quality and Reliability Engineering International
%V 30
%P 57-81
%8 2014
%G eng
%N 1
%2 a
%4 69374689280
%$ 69374689280
%0 Journal Article
%J Statistics and Computing
%D 2013
%T A Nonparametric Assessment of Model Adequacy Based on Kullback-Leibler Divergence
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B Statistics and Computing
%V 23
%P 149 - 162
%8 2013
%G eng
%N 2
%2 a
%4 2722312193
%$ 2722312193
%0 Journal Article
%J Computational Statistics and Data Analysis
%D 2012
%T Tales from the Tail: Robust Estimation of Moments of Environmental Data with One-Sided Detection Limits
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B Computational Statistics and Data Analysis
%V 56
%P 4266 - 4277
%8 2012
%G eng
%N 12
%2 a
%4 2722297857
%$ 2722297857
%0 Generic
%D 2011
%T On the Hotelling T2 Control Chart for Vector Autoregressive Process
%A Hsieh,Ping-Hung
%A Cheng,Tsung-Chi
%K MBA
%K Supply Chain
%B IEEE International Conference on Quality and Reliability
%C Bangkok, Thailand
%8 2011
%G eng
%2 c
%4 49989306368
%$ 49989306368
%0 Journal Article
%J Journal of Empirical Finance
%D 2009
%T A censored stochastic volatility approach to the estimation of price limit moves
%A Hsieh,Ping-Hung
%A Yang,Jimmy
%K Doctoral Program
%K Finance
%K MBA
%K Supply Chain
%X 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.
%B Journal of Empirical Finance
%V 16
%P 337-351
%8 2009
%G eng
%N 2
%2 a
%4 2658519041
%$ 2658519041
%0 Journal Article
%J Variance: advancing the science of risk
%D 2009
%T Extreme Value Analysis for Partitioned Insurance Loss
%A Henry III,John B.
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Variance: advancing the science of risk
%V 3
%P 214 - 238
%8 2009
%G eng
%N 2
%2 a
%4 22474360833
%$ 22474360833
%0 Journal Article
%J Journal of Empirical Finance
%D 2009
%T The magnet effect of price limits: a logit approach
%A Hsieh,Ping-Hung
%A Kim,Yong H
%A Yang,Jimmy
%K Doctoral Program
%K Finance
%K MBA
%K Supply Chain
%X 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.
%B Journal of Empirical Finance
%V 16
%P 830-837
%8 2009
%G eng
%N 5
%2 a
%4 2658545665
%$ 2658545665
%0 Generic
%D 2009
%T On Optimal Stopping Rules of Mixtures of Regression Lines
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B National Joint Staitstical Meetings
%C Washington, DC
%8 2009
%G eng
%2 c
%4 22475462657
%$ 22475462657
%0 Generic
%D 2007
%T The Magnet Effect of Price Limits: Evidence from Transactions Data
%A Hsieh,Ping-Hung
%A Kim,Yong H.
%A Yang,Jimmy
%K Doctoral Program
%K Finance
%K MBA
%K Supply Chain
%B Asian Finance Association Meeting
%C Hong Kong
%8 2007
%G eng
%2 c
%4 8582131713
%$ 8582131713
%0 Journal Article
%J Journal of Design Research
%D 2007
%T On Social Dynamics Factors in Multi-stakeholder Decision Making in the Early State of Product Development
%A Ge,Ping
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Journal of Design Research
%V 6
%P 100 - 121
%8 2007
%G eng
%N 1/2
%2 a
%4 2722242561
%$ 2722242561
%0 Journal Article
%J Journal of Design Research
%D 2007
%T Using an Updating Urn-scheme for Prioritzing Quality Requirements in the Early Stage of Collaboration Design
%A Hsieh,Ping-Hung
%A Ge,Ping
%A Meier,Stefan
%K MBA
%K Supply Chain
%B Journal of Design Research
%V 6
%P 444 - 461
%8 2007
%G eng
%N 4
%2 a
%4 646821888
%$ 646821888
%0 Journal Article
%J International Journal of Research in Marketing
%D 2006
%T Gauging the Effects of Dependences on Control in Industrial Distribution Channels: Response Surface Approach
%A Kim,Steve
%A Hsieh,Ping-Hung
%K Marketing
%K MBA
%K Supply Chain
%B International Journal of Research in Marketing
%V 23
%P 12 - 29
%8 2006
%G eng
%2 a
%4 646807552
%$ 646807552
%0 Generic
%D 2006
%T The magnet effect of price limits: evidence from transactions data
%A Yang,Jimmy
%A Hsieh,Ping-Hung
%A Kim,Yong H.
%K Doctoral Program
%K Finance
%K MBA
%K Supply Chain
%B Financial Management Association meeting
%C Salt Lake City, Utah
%8 2006
%G eng
%2 c
%4 649934848
%$ 649934848
%0 Generic
%D 2006
%T The Magnet Effect of Price Limits: Evidence from Transactions Data
%A Hsieh,Ping-Hung
%A Kim,Yong H.
%A Yang,Jimmy
%K Doctoral Program
%K Finance
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C Seattle, Washington
%8 2006
%G eng
%2 c
%4 2722437121
%$ 2722437121
%0 Generic
%D 2005
%T Tail Index Estimation for Partitioned Insurance Losses
%A Hsieh,Ping-Hung
%A Henry III,John B.
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C Minneapolis, Minnesota
%8 2005
%G eng
%2 c
%4 2722408449
%$ 2722408449
%0 Journal Article
%J Journal of Risk and Insurance
%D 2004
%T A Data-Analytic Method for Forecasting Next Record Catastrophe Loss
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Journal of Risk and Insurance
%V 71
%P 309-322
%8 2004
%G eng
%N 2
%2 a
%4 646819840
%$ 646819840
%0 Generic
%D 2004
%T On Examining Asymmetric Behavior of Price Limit Moves
%A Hsieh,Ping-Hung
%A Yang,J. Jimmy
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C Toronto, Canada
%8 2004
%G eng
%2 c
%4 646834176
%$ 646834176
%0 Generic
%D 2004
%T Tales from the Tails: Two of My Current Studies on Observations Residing in the Tails of a Distribution
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B Seminar Series
%C Corvallis, Oregon
%8 2004
%G eng
%2 c
%4 2722385921
%$ 2722385921
%0 Journal Article
%J Journal of Marketing Research
%D 2003
%T Interdependence and its Consequence in Distributor-Supplier Relationships: A Distributor Perspective Through Response Surface Approach
%A Kim,Steve
%A Hsieh,Ping-Hung
%K Marketing
%K MBA
%K Supply Chain
%X 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 variablesdistributor commitment, bilateral communication, and supplier controlin 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.
%B Journal of Marketing Research
%V XL
%P 101 - 112
%8 2003
%G eng
%N 1
%2 a
%4 646811648
%$ 646811648
%0 Journal Article
%J IEEE Transactions on Engineering Management
%D 2003
%T The Return on R&D Versus Capital Expenditures in the Pharmaceutical and Chemistry Industies
%A Hsieh,Ping-Hung
%A Mishra,C. S.
%A Gobeli,Dave
%K MBA
%K Strategy & Entrepreneurship
%K Supply Chain
%X 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.
%B IEEE Transactions on Engineering Management
%V 50
%P 141 -150
%8 2003
%G eng
%N 2
%2 a
%4 646096896
%$ 646096896
%0 Generic
%D 2003
%T Tales from the Tail: Robust Moment Estimation for Singly Censored Environmental Data
%A Hsieh,Ping-Hung
%A Cheng,Tsung-Chi
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C San Francisco, California
%8 2003
%G eng
%2 c
%4 646828032
%$ 646828032
%0 Journal Article
%J Computational Statistics and Data Analysis
%D 2002
%T An Exploratory First Step in Teletraffic Data Modeling: Evaluation of Long-run Performance of Parameter Estimators
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Computational Statistics and Data Analysis
%V 40
%P 263-283
%8 2002
%G eng
%N 2
%2 a
%4 646813696
%$ 646813696
%0 Generic
%D 2002
%T Forecasting Next Record Catastrophic Property Losses Using Extreme Value Theory
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B Taipei International Statistical Symposium and Bernoulli Society EAPR Conference
%C Taipei, Taiwan
%8 2002
%G eng
%2 c
%4 646830080
%$ 646830080
%0 Journal Article
%J Communications in Statistics - Theory & Methods
%D 2001
%T On Bayesian Predictive Moments of Next Record Value Using Three-parameter Gamma Priors
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Communications in Statistics - Theory & Methods
%V 30
%P 729-738
%8 2001
%G eng
%N 4
%2 a
%4 646817792
%$ 646817792
%0 Generic
%D 2001
%T Discrepancy Assessment of Model Fitness Against Nonparametric Alternatives
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C Atlanta, Georgia
%8 2001
%G eng
%2 c
%4 646825984
%$ 646825984
%0 Journal Article
%J Journal of Forecasting
%D 2001
%T Modeling the Frequency and Severity of Extreme Exchange Rate Returns
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Journal of Forecasting
%V 20
%P 485-499
%8 2001
%G eng
%N 7
%2 a
%4 646815744
%$ 646815744
%0 Journal Article
%J Risk Analysis
%D 2001
%T Robustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Risk Analysis
%V 21
%P 225-234
%8 2001
%G eng
%N 2
%2 a
%4 646809600
%$ 646809600
%0 Generic
%D 2000
%T The Returns to R&D and Capital Expenditures in the Pharmaceuticals and Chemicals Industry
%A Hsieh,Ping-Hung
%A Mishra,Chandra S.
%A Gobeli,David H.
%K MBA
%K Supply Chain
%B Financial Management Association International Annual Meeting
%C Seattle, Washington
%8 2000
%G eng
%2 c
%4 646832128
%$ 646832128
%0 Generic
%D 1999
%T Robustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%B National Joint Statistical Meetings
%C Baltimore, Maryland
%8 1999
%G eng
%2 c
%4 646836224
%$ 646836224
%0 Journal Article
%J Journal of Computational and Graphical Statistics
%D 1999
%T Robustness of Tail Index Estimation
%A Hsieh,Ping-Hung
%K MBA
%K Supply Chain
%X 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.
%B Journal of Computational and Graphical Statistics
%V 8
%P 318-332
%8 1999
%G eng
%N 2
%2 a
%4 646823936
%$ 646823936