12,459 research outputs found
Spatial Chow-Lin Methods for Data Completion in Econometric Flow Models
No full textFlow data across regions can be modeled by spatial econometric models, see LeSage and Pace (2009). Recently, regional studies became interested in the aggregation and disaggregation of flow models, because trade data cannot be obtained at a disaggregated level but data are published on an aggregate level. Furthermore, missing data in disaggregated flow models occur quite often since detailed measurements are often not possible at all observation points in time and space. In this paper we develop classical and Bayesian methods to complete flow data. The Chow and Lin (1971) method was developed for completing disaggregated incomplete time series data. We will extend this method in a general framework to spatially correlated flow data using the cross-sectional Chow-Lin method of Polasek et al. (2009). The missing disaggregated data can be obtained either by feasible GLS prediction or by a Bayesian (posterior) predictive density.Missing values in spatial econometrics, MCMC, non-spatial Chow-Lin (CL) and spatial Chow-Lin (SCL) methods, spatial internal flow (SIF) models, origin and destination (OD) data
SPATIAL CHOW-LIN METHODS: BAYESIAN AND ML FORECAST COMPARISONS
No full textCompleting data that are collected in disaggregated and heterogeneous spatial units is a quite frequent problem in spatial analyses of regional data. Chow and Lin (1971) (CL) were the rst to develop a uni ed framework for the three problems (interpolation, extrapolation and distribution) of predicting disaggregated times series by so-called indicator series. This paper develops a spatial CL procedure for disaggregating cross-sectional spatial data and compares the Maximum Likelihood and Bayesian spatial CL forecasts with the naive pro rata error distribution. We outline the error covariance structure in a spatial context, derive the BLUE for the ML estimator and the Bayesian estimation procedure by MCMC. Finally we
apply the procedure to European regional GDP data and discuss the disaggregation assumptions. For the evaluation of the spatial Chow-Lin procedure we assume that only NUTS 1 GDP is known and predict it at NUTS 2 by using employment and spatial information available at NUTS 2. The spatial neighborhood is de ned by the inverse travel time by car in minutes. Finally, we present the forecast accuracy criteria comparing the predicted values with the actual observations.
REVIEW: Andrew Strathern, Pamela J. Stewart, Laurence M. Carucci, Lin Poyer, Richard Feinberg, and Cluny Macpherson, Oceania: An Introduction to the Cultures and Identities of Pacific Islanders.
No full textAndrew Strathern, Pamela J. Stewart, Laurence M. Carucci, Lin Poyer, Richard Feinberg, and Cluny Macpherson, Oceania: An Introduction to the Cultures and Identities of Pacific Islanders. Durham, N.C.: Carolina Academic Press, 2002. Pp. 280. US$30 paper.
Reviewed by Judy Flores, Micronesian Area Research Center, University of Guam; Gef Pa\u27go Chamorro Cultural Village, Inarajan, Gua
A fuzzy approach for sequencing interrelated activities in a DSM
No full textProduction and manufacturing systems often involve a myriad of interrelated activities. How these activities are organised and scheduled has a significant effect on the success of a system. Recently, the Design Structure Matrix (DSM) has been regarded as an effective tool for modelling and scheduling interrelated activities. Based on fuzzy set theory, this study explicitly addresses the uncertain activity dependencies in our formulation and develops a mathematical model for sequencing interrelated activities in a DSM. Because of the complexity of the model, a new approach, which embeds an exact algorithm within a framework of a local search heuristic, is presented for solving large problem instances. Testing results demonstrate that relatively good solutions can be easily obtained by our approach, thereby providing managers with an effective tool for scheduling a large number of interrelated activities with uncertain dependencies. © 2012 Copyright Taylor and Francis Group, LLC.Abdelsalam HME, 2006, IEEE T ENG MANAGE, V53, P69, DOI 10.1109-TEM.2005.861805; Ahmadi R, 2001, EUR J OPER RES, V130, P539, DOI 10.1016-S0377-2217(99)00412-9; Banerjee A, 2007, IIE TRANS, V39, P453, DOI 10.1080-07408170601180510; Browning TR, 2001, IEEE T ENG MANAGE, V48, P292, DOI 10.1109-17.946528; Chen CH, 2004, INT J PROD RES, V42, P4623, DOI 10.1080-00207540410001721727; Chen SJ, 2003, COMPUT IND ENG, V44, P435, DOI 10.1016-S0360-8352(02)00230-9; Debels D, 2007, OPER RES, V55, P457, DOI 10.1287-opre.1060.0358; Dubois D., 2000, FUNDAMENTALS FUZZY S; Dubois D, 2003, EUR J OPER RES, V147, P231, DOI 10.1016-S0377-2217(02)00558-1; EPPINGER SD, 1994, RES ENG DES, V6, P1, DOI 10.1007-BF01588087; Eppinger SD, 2001, HARVARD BUS REV, V79, P149; Fortemps P, 1996, FUZZY SET SYST, V82, P319, DOI 10.1016-0165-0114(95)00273-1; Guschinskaya O, 2008, EUR J OPER RES, V189, P902, DOI 10.1016-j.ejor.2006.03.072; Karniel A, 2009, IEEE T ENG MANAGE, V56, P636, DOI 10.1109-TEM.2009.2032032; Karniel A, 2005, COMPUT AIDED DESIGN, V37, P399, DOI 10.1016-j.cad.2004.06.015; KUSIAK A, 1993, INT J PROD RES, V31, P753, DOI 10.1080-00207549308956755; Lancaster J, 2008, INT J PROD RES, V46, P5043, DOI 10.1080-00207540701324176; Li D., 2006, NONLINEAR INTEGER PR; Lin J, 2009, EUR J OPER RES, V196, P1158, DOI 10.1016-j.ejor.2008.05.030; Lin J, 2010, EUR J OPER RES, V201, P737, DOI 10.1016-j.ejor.2009.03.040; Lin J, 2008, EUR J OPER RES, V185, P378, DOI 10.1016-j.ejor.2006.12.022; Luh DB, 2009, CONCURRENT ENG-RES A, V17, P43, DOI 10.1177-1063293X09102249; McCulley C, 1996, STRUCT OPTIMIZATION, V12, P186, DOI 10.1007-BF01196956; Meier C, 2007, J MECH DESIGN, V129, P566, DOI 10.1115-1.2717224; Palpant M, 2004, ANN OPER RES, V131, P237, DOI 10.1023-B:ANOR.0000039521.26237.62; Qian YJ, 2011, IEEE T ENG MANAGE, V58, P688, DOI 10.1109-TEM.2011.2107558; Rowles C. M., 1999, THESIS MIT; Shaja AS, 2010, RES ENG DES, V21, P173, DOI 10.1007-s00163-009-0082-5; Smith RP, 1997, MANAGE SCI, V43, P1104, DOI 10.1287-mnsc.43.8.1104; Smith RP, 1998, CONCURRENT ENG-RES A, V6, P15, DOI 10.1177-1063293X9800600103; Steward D. V., 1981, IEEE T ENG MANAGE, V49, P428; Tang DB, 2010, ADV ENG INFORM, V24, P159, DOI 10.1016-j.aei.2009.08.005; Tang DB, 2000, COMPUT IND ENG, V38, P479, DOI 10.1016-S0360-8352(00)00059-0; Tang DB, 2009, CONCURRENT ENG-RES A, V17, P129, DOI 10.1177-1063293X09105348; YAGER RR, 1981, INFORM SCIENCES, V24, P143, DOI 10.1016-0020-0255(81)90017-7; Yassine A, 2003, CONCURRENT ENG-RES A, V11, P165, DOI 10.1177-106329303034503; Zimmermann H.-J., 1996, FUZZY SET THEORY ITS32
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Supplemental Material, Gimeno_#1_Appendix_A_Supplementary_FINAL - Protocol for <i>N</i>-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1
No full textSupplemental Material, Gimeno_#1_Appendix_A_Supplementary_FINAL for Protocol for N-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1 by Hortensia Gimeno, Helene J. Polatajko, Victoria Cornelius, Jean-Pierre Lin, and Richard G. Brown in Canadian Journal of Occupational Therapy</p
Supplemental Material, Gimeno_#1_Appendix_C_Supplementary_FINAL_FINAL - Protocol for <i>N</i>-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1
No full textSupplemental Material, Gimeno_#1_Appendix_C_Supplementary_FINAL_FINAL for Protocol for N-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1 by Hortensia Gimeno, Helene J. Polatajko, Victoria Cornelius, Jean-Pierre Lin, and Richard G. Brown in Canadian Journal of Occupational Therapy</p
Supplemental Material, Gimeno_#1_Appendix_B_FINAL_FINAL - Protocol for <i>N</i>-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1
No full textSupplemental Material, Gimeno_#1_Appendix_B_FINAL_FINAL for Protocol for N-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1 by Hortensia Gimeno, Helene J. Polatajko, Victoria Cornelius, Jean-Pierre Lin, and Richard G. Brown in Canadian Journal of Occupational Therapy</p
Supplemental Material, Gimeno_#2_Appendix_A_FINAL - Protocol for <i>N</i>-of-1 trials with replications across therapists for childhood-onset dystonia rehabilitation: Study 2
No full textSupplemental Material, Gimeno_#2_Appendix_A_FINAL for Protocol for N-of-1 trials with replications across therapists for childhood-onset dystonia rehabilitation: Study 2 by Hortensia Gimeno, Helene J. Polatajko, Victoria Cornelius, Jean-Pierre Lin, and Richard G. Brown in Canadian Journal of Occupational Therapy</p
- …
