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

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Number of items at this level: 44.

A

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 (Unpublished Doctoral thesis, City University London)

B

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

C

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

D

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.

F

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)

G

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

H

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

K

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 (Unpublished Doctoral thesis, City University London)

L

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

M

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,

N

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

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)

P

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

R

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

S

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.

T

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.

V

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 (Unpublished Doctoral thesis, City University London)

Y

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.