Items where Subject is "H Social Sciences > HA Statistics"

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Number of items at this level: 44.


Andersson, Neil (2013). Uncertainties in gender violence epidemiology. (Unpublished Doctoral thesis, City University London)


Broom, M., Borries, C. & Koenig, A. (2004). Infanticide and infant defence by males--modelling the conditions in primate multi-male groups. Journal of Theoretical Biology, 231(2), pp. 261-270. doi: 10.1016/j.jtbi.2004.07.001

Broom, M., Cannings, C. & Vickers, G. T. (2000). Evolution in Knockout Contests: the Variable Strategy Case. Selection, 1, pp. 5-21.

Broom, M., Crowe, M. L., Fitzgerald, M. R. & Rychtar, J. (2010). The stochastic modelling of kleptoparasitism using a Markov process. Journal of Theoretical Biology, 264(2), pp. 266-272. doi: 10.1016/j.jtbi.2010.01.012

Broom, M., Hadjichrysanthou, C. & Rychtar, J. (2010). Evolutionary games on graphs and the speed of the evolutionary process. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2117), pp. 1327-1346. doi: 10.1098/rspa.2009.0487

Broom, M., Hadjichrysanthou, C., Rychtar, J. & Stadler, B. T. (2010). Two results on evolutionary processes on general non-directed graphs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2121), pp. 2795-2798. doi: 10.1098/rspa.2010.0067

Broom, M. & Ruxton, G. D. (2004). A framework for modelling and analysing conspecific brood parasitism. Journal of Mathematical Biology, 48(5), pp. 529-544. doi: 10.1007/s00285-003-0244-4

Broom, M. & Rychtar, J. (2011). Kleptoparasitic melees--modelling food stealing featuring contests with multiple individuals.. Bulletin of Mathematical Biology, 73(3), doi: 10.1007/s11538-010-9546-z

Broom, M. & Rychtar, J. (2008). An analysis of the fixation probability of a mutant on special classes of non-directed graphs. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 464(2098), pp. 2609-2627. doi: 10.1098/rspa.2008.0058

Broom, M., Rychtar, J. & Stadler, B. (2009). Evolutionary Dynamics on Small-Order Graphs. Journal of Interdisciplinary Mathematics, 12, pp. 129-140.

Broom, M., Rychtar, J. & Sykes, C. (2008). The Evolution of Kleptoparasitism under Adaptive Dynamics Without Restriction. Journal of Interdisciplinary Mathematics, 11(4), pp. 479-494.

Broom, M., Speed, M. P. & Ruxton, G. D. (2005). Evolutionarily stable investment in secondary defences. Functional Ecology, 19(5), pp. 836-843. doi: 10.1111/j.1365-2435.2005.01030.x


Cairns, A., Blake, D., Dowd, K. & Kessler, A. (2016). Phantoms Never Die: Living with Unreliable Population Data. Journal of the Royal Statistical Society, Series A (Statistics in Society), 179(4), pp. 975-1005. doi: 10.1111/rssa.12159

Ciulla, F., Mocanu, D., Baronchelli, A., Gonçalves, B., Perra, N. & Vespignani, A. (2012). Beating the news using social media: the case study of American Idol. EPJ Data Science, 1(8), doi: 10.1140/epjds8

Cooper, C., Levay, P., Lorenc, T. & Craig, G. M. (2014). A population search filter for hard-to-reach populations increased search efficiency for a systematic review. Journal of Clinical Epidemiology, 67(5), pp. 554-559. doi: 10.1016/j.jclinepi.2013.12.006

Corte, P. D., Sarno, L. & Thornton, D. (2008). The Expectation Hypothesis of the Term Structure of Very Short-Term Rates: Statistical Tests and Economic Value. Journal of Financial Economics, 89(1), pp. 158-174. doi: 10.1016/j.jfineco.2007.08.002


Dagg, R.A. (1999). Optimal inspection and maintenance for stochastically deteriorating systems. (Unpublished Doctoral thesis, City University London)

Dash, J., Lankester, T., Hubbard, S. & Curran, P. J. (2008). Signal-to-noise ratio for MTCI and NDVI time series data. Proceedings of the 2nd MERIS/(A)ATSR User Workshop,

Datta-Nemdharry, P., Dattani, N. & Macfarlane, A. J. (2012). Linking maternity data for Wales, 2005-07: methods and data quality. Health Statistics Quarterly, 54, pp. 1-24.

Dattani, N., Datta-Nemdharry, P. & Macfarlane, A. J. (2012). Linking maternity data for England 2007: methods and data quality. Health Statistics Quarterly, 53, pp. 4-21.


Fitzgerald, R., Widdop, S., Gray, M. & Collins, D. (2011). Identifying sources of error in cross-national questionnaires: Application of an error source typology to cognitive interview data. Journal of Official Statistics, 27(4), pp. 569-599.

Fujiki, M.H. (1994). Pension fund valuation. (Unpublished Doctoral thesis, City University London)


Gandrud, C. (2015). simPH: An R package for illustrating estimates from cox proportional hazard models including for interactive and nonlinear effects. Journal of Statistical Software, 65(3), doi: 10.18637/jss.v065.i03


Harper, G. & Mayhew, L. (2012). Applications of Population Counts Based on Administrative Data at Local Level. Applied Spatial Analysis and Policy, 5(3), pp. 183-209. doi: 10.1007/s12061-011-9062-z

Harper, G. & Mayhew, L. (2012). Using Administrative Data to Count Local Populations. Applied Spatial Analysis and Policy, 5(2), pp. 97-122. doi: 10.1007/s12061-011-9063-y

Harper, G. & Mayhew, L. (2015). Using Administrative Data to Count and Classify Households with Local Applications. Applied Spatial Analysis and Policy, doi: 10.1007/s12061-015-9162-2

Harrison, M. D. & Broom, M. (2009). A game-theoretic model of interspecific brood parasitism with sequential decisions. Journal of Theoretical Biology, 256(4), pp. 504-517. doi: 10.1016/j.jtbi.2008.08.033

Hatzopoulos, P. & Haberman, S. (2013). Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data. Insurance: Mathematics and Economics, 52(2), pp. 320-337. doi: 10.1016/j.insmatheco.2012.12.009


Kaiksow, W.A. (1999). Labour supply problems and solutions: econometric model for the State of Bahrain. (Unpublished Doctoral thesis, City University London)


Li, F., Rahulamathavan, Y., Conti, M. & Rajarajan, M. (2015). Robust access control framework for mobile cloud computing network. Computer Communications, 68(Sept), pp. 61-72. doi: 10.1016/j.comcom.2015.07.005

Loreto, V., Baronchelli, A., Mukherjee, A., Puglisi, A. & Tria, F. (2011). Statistical physics of language dynamics. Journal of Statistical Mechanics: Theory and Experiment, 2011(4), P04006. doi: 10.1088/1742-5468/2011/04/P04006

Low, N., Butt, S., Ellis, P. & Davis Smith, J. (2007). Helping out: a national survey of volunteering and charitable giving. London: Cabinet Office.

Luciano, E., Spreeuw, J. & Vigna, E. (2008). Modelling stochastic mortality for dependent lives. Insurance: Mathematics and Economics, 43(2), pp. 234-244. doi: 10.1016/j.insmatheco.2008.06.005


MacFarlane, A., Dorkenoo, E. & Morison, L. (2007). A statistical study to estimate the prevalence of female genital mutilation in England and Wales. Summary Report. London: Foundation for Women's Health, Research and Development (FORWARD).

Munir, H., Mammen, E., Martinez-Miranda, M. D. & Nielsen, J. P. (2016). In-Sample Forecasting with Local Linear Survival Densities. Biometrika,


Nielsen, J. P., Agbeko, T., Miranda, M. D. M. & Verrall, R. J. (2014). Validating the double chain ladder stochastic claims reserving model. Variance: advancing the science of risk, 8(2), pp. 138-160.


O'Connor, R.B. (1996). The applicability of statistical techniques to credit portfolios with specific reference to the use of risk theory in banking. (Unpublished Doctoral thesis, City University London)


Popov, P. T. (2013). Bayesian reliability assessment of legacy safety-critical systems upgraded with fault-tolerant off-the-shelf software. Reliability Engineering & System Safety, 117(Sept), pp. 98-113. doi: 10.1016/j.ress.2013.03.017


Ruxton, G. D., Fraser, C. & Broom, M. (2005). An evolutionarily stable joining policy for group foragers. Behavioral Ecology, 16(5), pp. 856-864. doi: 10.1093/beheco/ari063


Slingsby, A., Dykes, J. & Wood, J. (2011). Exploring Uncertainty in Geodemographics with Interactive Graphics. IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2545-2554. doi: 10.1109/TVCG.2011.197

Slingsby, A., Dykes, J., Wood, J., Foote, M. & Blom, M. (2008). The Visual Exploration of Insurance Data in Google Earth. Paper presented at the GISRUK08, 2 - 4 Apr 2008, Manchester Metropolitan University, Manchester, UK.


Tsanakas, A., Beck, M. B. & Thompson, M. (2016). Taming Uncertainty: The Limits to Quantification. Astin Bulletin: The Journal of the ASTIN and AFIR Sections of the International Actuarial Association, 46(1), pp. 1-7.


Verrall, R. J. (1989). Stochastic Models for Triangular Tables with Applications to Cohort Data and Claims Reserving. (Unpublished Doctoral thesis, City University London)


Yates, G. E. & Broom, M. (2007). Stochastic models of kleptoparasitism. Journal of Theoretical Biology, 248(3), pp. 480-489. doi: 10.1016/j.jtbi.2007.05.007

This list was generated on Sat Feb 25 06:04:19 2017 UTC.