414 research outputs found
The Buff and Blue: Vol. 45 (Oct 8, 1936 - May 25, 1937)
Vol. 45 - Oct 8, 1936 - May 25, 1937The Buff and Blue is a deaf and hard-of-hearing student publication of Gallaudet University. The Editor is Hubert J. Sellner.
Some issues are missing: No. 5, 10 & 13.Submitted by Seung Hahn ([email protected]) on 2012-08-16T15:02:41Z
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Previous issue date: 1936-10-0
Spatial Chow-Lin Methods for Data Completion in Econometric Flow Models
Flow 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
Oboe trios
1. Prière / A-G Vogt -- 2. Easy exercises for three oboes / J. Sellner.--3. Petit caprice for three oboes / J.F.F. Halévy -- 4. Easy exercises for three oboes / J. Sellner -- 5. Trio de hautbois / A-G. Vogt -- 6. Allegro di molto from Trio I / G. Aber -- 7. Non tanto presto from Trio II / G. Aber
Does Globalization Affect Regional Growth? Evidence for NUTS-2 Regions in EU-27
We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct on a NUTS-2 level a complete regional data for exports, imports and FDI inward stocks, which serve as indicators for the influence of globalization, integration and technology transfers on European regions. The results suggest that most regions have significantly benefited from globalization measured by increasing trade openness and FDI. In a non-linear growth convergence model the growth elasticities for globalization and technology transfers decrease with increasing GDP per capita. Furthermore, the estimated elasticity for FDI decreases when the model includes a higher human capital premium for CEE countries and a small significant growth enhancing effect accrues from the structural funds expenditures in the EU.Regional globalization measures, EU integration (structural funds), Regional growth convergence models, Foreign direct investment (FDI)
Does Globalization a ffect Regional Growth? Evidence for NUTS-2 Regions in EU-27
We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct on a NUTS-2 level a complete regional data for exports, imports and FDI inward stocks, which serve as indicators for the influence of globalization, integration and technology transfers on European regions. The results suggest that most regions have significantly benefited from globalization measured by increasing trade openness and FDI. In a non-linear growth convergence model the growth elasticities for globalization and technology transfers decrease with increasing GDP per capita. Furthermore, the estimated elasticity for FDI decreases when the model includes a higher human capital premium for CEE countries and a small significant growth enhancing eff ect accrues from the structural funds expenditures in the EU.
The Importance of Thorough Research Before Volunteering With Vulnerable Populations
abstract: Refugees are a vulnerable population that are forced to conform to a life that is totally and completely different from what they are used to. Not only is the food and clothing different, but also the concepts such as handwashing, applying deodorant, and having health insurance. Although refugees are given multiple resources, most, unfortunately, do not know how to utilize them. This is why the Refugee Education and Clinic Team was founded in the Fall of 2017. The Refugee Education and Clinic Team (REACT) is a collaboration between the Mayo Clinic Alix School of Medicine and Arizona State University. REACT’s mission is to mitigate healthcare disparities. Mitigating the healthcare disparities that refugees can be as simple as holding a handwashing workshop. Educating is as crucial as providing health care. That excruciating tooth pain can be preventable with a dental hygiene workshop. Families will benefit from learning about pregnancy prevention. The stomach pain that many of the elders experience most likely will be from the gas caused by the food being consumed. Going to the communities and offering an hour of educating about health has and will positively impact refugee families. Ensuring that topics that will actually benefit these families is essential. Research is vital to inquire what health topics need to be taught and what services will be included in REACT’s scope of practice. The research conducted will be the Community Health Needs Assessment, which is a 9-page survey regarding health. My thesis will discuss this process and refugees. My thesis director is Dr. Lara Ferry and my second committee member is Dr. Erin Sellner
Correction:Idelalisib exposure before allogeneic stem cell transplantation in patients with follicular lymphoma: an EBMT survey
The article “Idelalisib exposure before allogeneic stem cell transplantation in patients with follicular lymphoma: an EBMT survey”, written by Leopold Sellner, Johannes Schetelig, Linda Koster, Goda Choi, Didier Blaise, Dietrich Beelen, Fabrizio Carnevale Schianca, Jakob Passweg, Urs Schanz, Emmanuel Gyan, Federica Sora, Nicolaus Kröger, Gerald. G. Wulf, Gwendolyn Van Gorkom, Jiri Mayer, Corentin Orvain, Jean Henri Bourhis, Pavel Jindra, Victoria Potter, Francesco Zallio, Elisabeth Vandenberghe, Stephen Robinson, Patrick J. Hayden, Ibrahim Yakoub-Agha, Silvia Montoto, Peter Dreger, on behalf of the European Society for Blood and Marrow Transplantation Lymphoma and Chronic Malignancies Working Parties, was originally published Online First without Open Access. After publication in volume 55, issue 12, page 2335–2338, the author decided to opt for Open Choice and to make the article an Open Access publication.</p
Hubert J. Sellner : B.S., 1937
Minnesota School for the Deaf ; Married Jean Paterson ; Moved to Californiahttps://ida.gallaudet.edu/alumni-cards/3293/thumbnail.jp
SPATIAL CHOW-LIN METHODS: BAYESIAN AND ML FORECAST COMPARISONS
Completing 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.
Hubert J. Sellner : B.S., 1937
Minnesota School for the Deaf ; Married Jean Paterson ; Moved to CaliforniaMade available in DSpace on 2012-10-26T14:34:15Z (GMT). No. of bitstreams: 4
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