00511nas a2200145 4500008004100000245007500041210006900116260000900185653002300194653001700217100002100234700001900255700001900274856007200293 2018 eng d00aUsing a Q Matrix to Assess Students' Latent Skills in an Online Course0 aUsing a Q Matrix to Assess Students Latent Skills in an Online C c201810aBusiness Analytics10aSupply Chain1 aHsieh, Ping-Hung1 aChang, Xiaohui1 aOlstad, Andrew uhttps://ecampus.oregonstate.edu/research/publications/white-papers/00558nas a2200145 4500008004100000245007700041210006900118260002200187653002300209653001700232100002100249700001900270700001900289856010400308 2016 eng d00aEarly Detection of Placement for Success in an Online Quantitative Class0 aEarly Detection of Placement for Success in an Online Quantitati aChicago, ILc201610aBusiness Analytics10aSupply Chain1 aHsieh, Ping-Hung1 aChang, Xiaohui1 aOlstad, Andrew u/biblio/early-detection-placement-success-online-quantitative-class01693nas a2200205 4500008004100000245008600041210006900127260000900196300001200205490000700217520107400224653000801298653001701306100002201323700002101345700001801366700001801384700002001402856006501422 2016 eng d00aMap? or List?based Recommender Agents? Does the Map Metaphor Fulfill its Promise?0 aMap or Listbased Recommender Agents Does the Map Metaphor Fulfil c2016 a291-3080 v163 aWe 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.10aBIS10aSupply Chain1 aReitsma, Reindert1 aHsieh, Ping-Hung1 aDiekema, Anne1 aRobson, Robby1 aZarsky, Malinda uhttp://journals.sagepub.com/doi/abs/10.1177/147387161666919300615nas a2200157 4500008004100000245010700041210006900148260000900217300001200226490000700238653001700245100002100262700001900283700001700302856013800319 2015 eng d00aDecision Support for Unrelated Parallel-Machine Scheduling with Discrete Controllable Processing Times0 aDecision Support for Unrelated ParallelMachine Scheduling with D c2015 a475-4830 v3010aSupply Chain1 aHsieh, Ping-Hung1 aYang, Suh-Jenq1 aYang, Dar-Li u/biblio/decision-support-unrelated-parallel-machine-scheduling-discrete-controllable-processing-times01461nas a2200157 4500008004100000245007300041210006900114260000900183520091500192653000801107653001701115100002201132700002101154700001801175856011001193 2015 eng d00aEstimation and Visualization of Digital Library Content Similarities0 aEstimation and Visualization of Digital Library Content Similari c20153 aWe 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.10aBIS10aSupply Chain1 aReitsma, Reindert1 aHsieh, Ping-Hung1 aRobson, Robby u/biblio/estimation-and-visualization-digital-library-content-similarities00502nas a2200157 4500008004100000245005600041210005600097260000900153300001000162490000700172653001700179100002100196700002100217700001600238856009000254 2014 eng d00aProcess Control for the Vector Autoregressive Model0 aProcess Control for the Vector Autoregressive Model c2014 a57-810 v3010aSupply Chain1 aCheng, Tsung-Chi1 aHsieh, Ping-Hung1 aYang, S.-F. u/biblio/process-control-vector-autoregressive-model-000518nas a2200133 4500008004100000245008600041210006900127260000900196300001400205490000700219653001700226100002100243856012000264 2013 eng d00aA Nonparametric Assessment of Model Adequacy Based on Kullback-Leibler Divergence0 aNonparametric Assessment of Model Adequacy Based on KullbackLeib c2013 a149 - 1620 v2310aSupply Chain1 aHsieh, Ping-Hung u/biblio/nonparametric-assessment-model-adequacy-based-kullback-leibler-divergence-000551nas a2200133 4500008004100000245010800041210006900149260000900218300001600227490000700243653001700250100002100267856012900288 2012 eng d00aTales from the Tail: Robust Estimation of Moments of Environmental Data with One-Sided Detection Limits0 aTales from the Tail Robust Estimation of Moments of Environmenta c2012 a4266 - 42770 v5610aSupply Chain1 aHsieh, Ping-Hung u/biblio/tales-tail-robust-estimation-moments-environmental-data-one-sided-detection-limits-000490nas a2200121 4500008004100000245007200041210006500113260002800178653001700206100002100223700002100244856010300265 2011 eng d00aOn the Hotelling T2 Control Chart for Vector Autoregressive Process0 aHotelling T2 Control Chart for Vector Autoregressive Process aBangkok, Thailandc201110aSupply Chain1 aHsieh, Ping-Hung1 aCheng, Tsung-Chi u/biblio/hotelling-t2-control-chart-vector-autoregressive-process-000523nas a2200133 4500008004100000245007500041210006600116260002800182653001700210100002100227700002100248700001600269856010400285 2011 eng d00aOn the Hotelling's T^2 Control Chart for Vector Autoregressive Process0 aHotellings T2 Control Chart for Vector Autoregressive Process aBangkok, Thailandc201110aSupply Chain1 aHsieh, Ping-Hung1 aCheng, Tsung-Chi1 aYang, S.-F. u/biblio/hotellings-t2-control-chart-vector-autoregressive-process-001259nas a2200169 4500008004100000245008500041210006900126260000900195300001200204490000700216520068500223653001200908653001700920100002100937700001600958856011500974 2009 eng d00aA censored stochastic volatility approach to the estimation of price limit moves0 acensored stochastic volatility approach to the estimation of pri c2009 a337-3510 v163 aA 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.

10aFinance10aSupply Chain1 aHsieh, Ping-Hung1 aYang, Jimmy u/biblio/censored-stochastic-volatility-approach-estimation-price-limit-moves-001632nas a2200157 4500008004100000245005800041210005800099260000900157300001400166490000600180520113000186653001701316100002401333700002101357856009601378 2009 eng d00aExtreme Value Analysis for Partitioned Insurance Loss0 aExtreme Value Analysis for Partitioned Insurance Loss c2009 a214 - 2380 v33 aThe 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.10aSupply Chain1 aIII, John, B. Henry1 aHsieh, Ping-Hung u/biblio/extreme-value-analysis-partitioned-insurance-loss-001149nas a2200181 4500008004100000245005600041210005100097260000900148300001200157490000700169520062000176653001200796653001700808100002100825700001700846700001600863856008800879 2009 eng d00aThe magnet effect of price limits: a logit approach0 amagnet effect of price limits a logit approach c2009 a830-8370 v163 aWe 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.

10aFinance10aSupply Chain1 aHsieh, Ping-Hung1 aKim, Yong, H1 aYang, Jimmy u/biblio/magnet-effect-price-limits-logit-approach-000430nas a2200109 4500008004100000245006200041210005900103260002500162653001700187100002100204856009500225 2009 eng d00aOn Optimal Stopping Rules of Mixtures of Regression Lines0 aOptimal Stopping Rules of Mixtures of Regression Lines aWashington, DCc200910aSupply Chain1 aHsieh, Ping-Hung u/biblio/optimal-stopping-rules-mixtures-regression-lines-000528nas a2200145 4500008004100000245007100041210006600112260002000178653001200198653001700210100002100227700001800248700001600266856010000282 2007 eng d00aThe Magnet Effect of Price Limits: Evidence from Transactions Data0 aMagnet Effect of Price Limits Evidence from Transactions Data aHong Kongc200710aFinance10aSupply Chain1 aHsieh, Ping-Hung1 aKim, Yong, H.1 aYang, Jimmy u/biblio/magnet-effect-price-limits-evidence-transactions-data-201558nas a2200157 4500008004100000245011000041210006900151260000900220300001400229490000600243520096400249653001701213100001301230700002101243856013601264 2007 eng d00aOn Social Dynamics Factors in Multi-stakeholder Decision Making in the Early State of Product Development0 aSocial Dynamics Factors in Multistakeholder Decision Making in t c2007 a100 - 1210 v63 aWhen 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.10aSupply Chain1 aGe, Ping1 aHsieh, Ping-Hung u/biblio/social-dynamics-factors-multi-stakeholder-decision-making-early-state-product-development-000617nas a2200157 4500008004100000245011300041210006900154260000900223300001400232490000600246653001700252100002100269700001300290700001800303856013800321 2007 eng d00aUsing an Updating Urn-scheme for Prioritzing Quality Requirements in the Early Stage of Collaboration Design0 aUsing an Updating Urnscheme for Prioritzing Quality Requirements c2007 a444 - 4610 v610aSupply Chain1 aHsieh, Ping-Hung1 aGe, Ping1 aMeier, Stefan u/biblio/using-updating-urn-scheme-prioritzing-quality-requirements-early-stage-collaboration-design-000608nas a2200157 4500008004100000245011300041210006900154260000900223300001200232490000700244653001400251653001700265100001500282700002100297856013200318 2006 eng d00aGauging the Effects of Dependences on Control in Industrial Distribution Channels: Response Surface Approach0 aGauging the Effects of Dependences on Control in Industrial Dist c2006 a12 - 290 v2310aMarketing10aSupply Chain1 aKim, Steve1 aHsieh, Ping-Hung u/biblio/gauging-effects-dependences-control-industrial-distribution-channels-response-surface-000538nas a2200145 4500008004100000245007100041210006600112260003000178653001200208653001700220100002100237700001800258700001600276856010000292 2006 eng d00aThe Magnet Effect of Price Limits: Evidence from Transactions Data0 aMagnet Effect of Price Limits Evidence from Transactions Data aSeattle, Washingtonc200610aFinance10aSupply Chain1 aHsieh, Ping-Hung1 aKim, Yong, H.1 aYang, Jimmy u/biblio/magnet-effect-price-limits-evidence-transactions-data-400539nas a2200145 4500008004100000245007100041210006600112260003100178653001200209653001700221100001600238700002100254700001800275856010000293 2006 eng d00aThe magnet effect of price limits: evidence from transactions data0 amagnet effect of price limits evidence from transactions data aSalt Lake City, Utahc200610aFinance10aSupply Chain1 aYang, Jimmy1 aHsieh, Ping-Hung1 aKim, Yong, H. u/biblio/magnet-effect-price-limits-evidence-transactions-data-300473nas a2200121 4500008004100000245005900041210005900100260003300159653001700192100002100209700002400230856009700254 2005 eng d00aTail Index Estimation for Partitioned Insurance Losses0 aTail Index Estimation for Partitioned Insurance Losses aMinneapolis, Minnesotac200510aSupply Chain1 aHsieh, Ping-Hung1 aIII, John, B. Henry u/biblio/tail-index-estimation-partitioned-insurance-losses-001800nas a2200145 4500008004100000245007200041210006900113260000900182300001200191490000700203520129800210653001701508100002101525856010801546 2004 eng d00aA Data-Analytic Method for Forecasting Next Record Catastrophe Loss0 aDataAnalytic Method for Forecasting Next Record Catastrophe Loss c2004 a309-3220 v713 aWe 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/data-analytic-method-forecasting-next-record-catastrophe-loss-000450nas a2200121 4500008004100000245005800041210005500099260002600154653001700180100002100197700001600218856009400234 2004 eng d00aOn Examining Asymmetric Behavior of Price Limit Moves0 aExamining Asymmetric Behavior of Price Limit Moves aToronto, Canadac200410aSupply Chain1 aHsieh, Ping-Hung1 aYang, Jimmy u/biblio/examining-asymmetric-behavior-price-limit-moves-000516nas a2200109 4500008004100000245010800041210006900149260002800218653001700246100002100263856012200284 2004 eng d00aTales from the Tails: Two of My Current Studies on Observations Residing in the Tails of a Distribution0 aTales from the Tails Two of My Current Studies on Observations R aCorvallis, 鶹ýc200410aSupply Chain1 aHsieh, Ping-Hung u/biblio/tales-tails-two-my-current-studies-observations-residing-tails-distribution-002820nas a2200169 4500008004100000245013900041210006900180260000900249300001400258490000700272520217500279653001402454653001702468100001502485700002102500856012902521 2003 eng d00aInterdependence and its Consequence in Distributor-Supplier Relationships: A Distributor Perspective Through Response Surface Approach0 aInterdependence and its Consequence in DistributorSupplier Relat c2003 a101 - 1120 vXL3 aInterdependence 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. 10aMarketing10aSupply Chain1 aKim, Steve1 aHsieh, Ping-Hung u/biblio/interdependence-and-its-consequence-distributor-supplier-relationships-distributor-001812nas a2200181 4500008004100000245009600041210006900137260000900206300001300215490000700228520116600235653003201401653001701433100002101450700001901471700001701490856012301507 2003 eng d00aThe Return on R&D Versus Capital Expenditures in the Pharmaceutical and Chemistry Industies0 aReturn on RD Versus Capital Expenditures in the Pharmaceutical a c2003 a141 -1500 v503 aThe 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.10aStrategy & Entrepreneurship10aSupply Chain1 aHsieh, Ping-Hung1 aMishra, C., S.1 aGobeli, Dave u/biblio/return-rd-versus-capital-expenditures-pharmaceutical-and-chemistry-industies-000533nas a2200121 4500008004100000245008900041210006900130260003600199653001700235100002100252700002100273856011700294 2003 eng d00aTales from the Tail: Robust Moment Estimation for Singly Censored Environmental Data0 aTales from the Tail Robust Moment Estimation for Singly Censored aSan Francisco, Californiac200310aSupply Chain1 aHsieh, Ping-Hung1 aCheng, Tsung-Chi u/biblio/tales-tail-robust-moment-estimation-singly-censored-environmental-data-001679nas a2200145 4500008004100000245011900041210006900160260000900229300001200238490000700250520110100257653001701358100002101375856013701396 2002 eng d00aAn Exploratory First Step in Teletraffic Data Modeling: Evaluation of Long-run Performance of Parameter Estimators0 aExploratory First Step in Teletraffic Data Modeling Evaluation o c2002 a263-2830 v403 aExamination 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/exploratory-first-step-teletraffic-data-modeling-evaluation-long-run-performance-parameter-000493nas a2200109 4500008004100000245008400041210006900125260002500194653001700219100002100236856012600257 2002 eng d00aForecasting Next Record Catastrophic Property Losses Using Extreme Value Theory0 aForecasting Next Record Catastrophic Property Losses Using Extre aTaipei, Taiwanc200210aSupply Chain1 aHsieh, Ping-Hung u/biblio/forecasting-next-record-catastrophic-property-losses-using-extreme-value-theory-001472nas a2200145 4500008004100000245009100041210006900132260000900201300001200210490000700222520093200229653001701161100002101178856012701199 2001 eng d00aOn Bayesian Predictive Moments of Next Record Value Using Three-parameter Gamma Priors0 aBayesian Predictive Moments of Next Record Value Using Threepara c2001 a729-7380 v303 aA 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/bayesian-predictive-moments-next-record-value-using-three-parameter-gamma-priors-000482nas a2200109 4500008004100000245007900041210006900120260002700189653001700216100002100233856011800254 2001 eng d00aDiscrepancy Assessment of Model Fitness Against Nonparametric Alternatives0 aDiscrepancy Assessment of Model Fitness Against Nonparametric Al aAtlanta, Georgiac200110aSupply Chain1 aHsieh, Ping-Hung u/biblio/discrepancy-assessment-model-fitness-against-nonparametric-alternatives-001439nas a2200145 4500008004100000245007300041210006900114260000900183300001200192490000700204520093600211653001701147100002101164856010801185 2001 eng d00aModeling the Frequency and Severity of Extreme Exchange Rate Returns0 aModeling the Frequency and Severity of Extreme Exchange Rate Ret c2001 a485-4990 v203 aRisk 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/modeling-frequency-and-severity-extreme-exchange-rate-returns-001720nas a2200145 4500008004100000245010200041210006900143260000900212300001200221490000700233520116600240653001701406100002101423856013001444 2001 eng d00aRobustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties0 aRobustness of Conditional Moments An Application to Premium Calc c2001 a225-2340 v213 aIn 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/robustness-conditional-moments-application-premium-calculation-reinsurance-treaties-100573nas a2200133 4500008004100000245009400041210006900135260003000204653001700234100002100251700002400272700002200296856012100318 2000 eng d00aThe Returns to R&D and Capital Expenditures in the Pharmaceuticals and Chemicals Industry0 aReturns to RD and Capital Expenditures in the Pharmaceuticals an aSeattle, Washingtonc200010aSupply Chain1 aHsieh, Ping-Hung1 aMishra, Chandra, S.1 aGobeli, David, H. u/biblio/returns-rd-and-capital-expenditures-pharmaceuticals-and-chemicals-industry-000520nas a2200109 4500008004100000245010200041210006900143260003000212653001700242100002100259856013000280 1999 eng d00aRobustness of Conditional Moments: An Application to Premium Calculation for Reinsurance Treaties0 aRobustness of Conditional Moments An Application to Premium Calc aBaltimore, Marylandc199910aSupply Chain1 aHsieh, Ping-Hung u/biblio/robustness-conditional-moments-application-premium-calculation-reinsurance-treaties-201102nas a2200145 4500008004100000245004000041210004000081260000900121300001200130490000600142520069100148653001700839100002100856856007900877 1999 eng d00aRobustness of Tail Index Estimation0 aRobustness of Tail Index Estimation c1999 a318-3320 v83 aThe 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.10aSupply Chain1 aHsieh, Ping-Hung u/biblio/robustness-tail-index-estimation-0