Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

Explore some of this space-related Open Access research.

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Number of items: 7.

Chan, Joshua C.C. and Koop, Gary (2014) Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables. Computational Statistics and Data Analysis, 76. pp. 186-193. ISSN 0167-9473

Gefang, Deborah and Koop, Gary and Potter, Simon M. (2012) The dynamics of UK and US inflation expectations. Computational Statistics and Data Analysis, 56 (11). 3120–3133. ISSN 0167-9473

Gradowska, PL and Cooke, RM (2012) Least squares type estimation for Cox regression model and specification error. Computational Statistics and Data Analysis, 56 (7). pp. 2288-2302.

Hanea, AM and Kurowicka, Dorota and Cooke, Roger M and Ababei, DA (2010) Mining and visualising ordinal data with non-parametric continuous BBNs. Computational Statistics and Data Analysis, 54 (3). pp. 668-687.

Renshaw, E. and Mateu, J. and Saura, F. (2007) Disentangling mark/point interaction in marked-point processes. Computational Statistics and Data Analysis, 51 (6). pp. 3123-3144. ISSN 0167-9473

Ip, W. and Wong, H. and Pan, J. and Li, D.F. (2006) The asymptotic convexity of the negative likelihood function of GARCH models. Computational Statistics and Data Analysis, 50 (2). pp. 311-331. ISSN 0167-9473

Renshaw, E. and Sarkka, A. (2001) Gibbs point processes for studying the development of spatial-temporal stochastic processes. Computational Statistics and Data Analysis, 36 (1). pp. 85-105. ISSN 0167-9473

This list was generated on Thu Dec 9 14:02:19 2021 GMT.