1. I.T. Jolliffe The Dice coefficient. A neglected verification measure for deterministic forecasts of binary events Met. Apps. 23:89-90, 2016



2. I.T.Jolliffe, J. Cadima Principal component analysis: a review and recent developments. Phil. Trans. Roy. Soc. A - Math. Phys. Eng. Sci. 374: Issue 2065, Article 20150202, 2016



3. I. T. Jolliffe Untitled letter. Weather 71:285, 2016

1. K. Willett, C. Williams, I. Jolliffe, R. Lund, L. V. Alexander, S. Bronnimann, L. A. Vincent, S. Easterbrook, V. A. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir & P. W. Thorne A framework for benchmarking of homogenisation algorithm performance on the global scale Geosci. Instrum. Method. Data Syst. 3:187-200, 2014



2. I. T. Jolliffe & D. B. Stephenson Comments on "H. L. Wagner's unbiased hit rate and the assessment of categorical forecasting accuracy" Wea. Forecasting 29:763-764, 2014

1. I. T. Jolliffe & D.B Stephenson, editors. Forecast Verification. A practitioner's guide in atmospheric science, Second edition. Wiley, Chichester, 2012. Chinese translation 2016.



2. D. G. Enki, N. T. Trendafilov & I. T. Jolliffe A clustering approach to interpretable principal components J. Appl. Statistics 40:583-599, 2012

1. S. Unkel, N. T. Trendafilov, A. Hannachi & I. T. Jolliffe Independent component analysis for three-way data with an application from atmospheric science J. Agric. Biol. Environ. Statistics 16:319-338, 2011



2. I. T. Jolliffe Principal component analysis. In: International Encyclopedia of Statistical Science, (ed. M. Lovric), 1094-1096, Springer, New York, 2011.



3. P.W.Thorne, K.M. Willett, ... I. T. Jolliffe (+ 14 others) Guiding the creation of a comprehensive surface temperature resource for twenty-first-century climate science Bull. Amer. Met. Soc. 92:ES40-ES47, 2011

1. R. J. Hogan, C. A. T. Ferro, I. T. Jolliffe & D. B. Stephenson Equitability revisited: Why the 'equitable threat score' is not equitable Wea. Forecasting 25:710-726, 2010



2. S. Unkel, N. T. Trendafilov, A. Hannachi & I. T. Jolliffe Independent exploratory factor analysis with application to atmospheric science J. Appl. Statistics 37:1847-1862, 2010



3. I. T. Jolliffe & A. Philipp Some recent developments in cluster analysis Phys. Chem. of the Earth 35:309-315, 2010

1. M. P. Baldwin, D. B. Stephenson & I. T. Jolliffe Spatial weighting and iterative projection methods for EOFs J. Climate 22:234-243, 2009



2. A. Hannachi, S. Unkel, N. T. Trendafilov & I. T. Jolliffe Independent component analysis of climate data: a new look at EOF rotation J. Climate 22:2797-2812, 2009



3. C. Primo, C. A. T. Ferro, I. T. Jolliffe & D. B. Stephenson Combination and calibration methods for probabilistic forecasts of binary events Mon. Wea. Rev. 137:1142-1149, 2009



4. J. Cadima & I. T. Jolliffe On relationships between uncentred and column-centred principal component analysis Pak. J. Statistics 25:473-503, 2009

1. I. T. Jolliffe. The impenetrable hedge: a note on propriety, equitability and consistency Met. Apps. 15:25-29, 2008



2. I. T. Jolliffe. Comment on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds Test 17:249-250, 2008



3. I. T. Jolliffe & C. Primo. Evaluating rank histograms using decompositions of the chi-square test statistic Mon. Wea. Rev. 136:2133-2139 2008



4. P. J. Mailier, I. T. Jolliffe & D. B. Stephenson. Assessing and reporting the quality of commercial weather forecasts Met. Apps. 15:423-429, 2008



5. D. B. Stephenson, C. A. D. S. Coelho & I. T. Jolliffe. Two extra components in the Brier score decomposition Wea. Forecasting 23:752-757, 2008



6. I. T. Jolliffe & D. B. Stephenson. Proper scores for probability forecasts can never be equitable Mon. Wea. Rev. 136:1505-1510, 2008

1. N. T. Trendafilov and I. T. Jolliffe. DALASS: Variable selection in discriminant analysis via the LASSO Comp. Stat. Data Anal., 51:3718-3736, 2007



2. I. T. Jolliffe. Uncertainty and inference for verification measures Wea. Forecasting 22:137-150, 2007



3. A. Hannachi, I. T. Jolliffe, and D. B. Stephenson. Empirical orthogonal functions and related techniques in atmospheric science: A review. Int. J. Climatology, 27:1119-1152, 2007.



4. I. T. Jolliffe, J. A. Learmonth, G. J. Pierce, M. B. Santos, N. Trendafilov, A. F. Zuur, E. N. Ieno and G. M Smith. Principal component analysis applied to harbour porpoise fatty acid data In: Analysing Ecological Data, (authors A. F. Zuur, E. N. Ieno and G. M. Smith), 515-527, Springer, New York, 2007.



5. J. Claude, I. T. Jolliffe, A. F. Zuur, E. N. Ieno and G. M Smith. Multivariate analayses of morphometric turtle data - size and shape In: Analysing Ecological Data, (authors A. F. Zuur, E. N. Ieno and G. M. Smith), 529-546, Springer, New York, 2007.

1. N. T. Trendafilov and I. T. Jolliffe. Projected gradient approach to the numerical solution of the SCoTLASS. Comp. Stat. Data Anal., 50:242-253, 2006



2. A. Hannachi, I. T. Jolliffe, D. B. Stephenson and N. Trendafilov. In search of simple structures in climate: simplifying EOFs. Int. J. Climatology, 26:7-28, 2006.



3. J. M. Mooney, I. T. Jolliffe and P. J. Helms. Modelling seasonally varying data: A case study for sudden infant death syndrome (SIDS) data. J. Appl. Stat., 33:535-547, 2006.



4. G. McGregor, P. Kassomenos, F. de'Donato, K. Blazejczyk, T. Cengar, R. Huth, I. Jolliffe, G.Jendritzky, C. Koppe and A. Paldy. The development of heat health watch warning systems for five European cities: Results from the European union PHEWE project Epidemiology 17(6):S86-S86 Suppl. S, 2006

1. I. T. Jolliffe. Eigenvalues/eigenvectors. In: Encyclopedia of Statistics in Behavioral Science, (eds. B. S.Everitt and D. C. Howell), Vol. 2, 542-543, Wiley, New York, 2005.



2. I. T. Jolliffe. Principal component analysis. In: Encyclopedia of Statistics in Behavioral Science, (eds. B. S.Everitt and D. C. Howell), Vol. 3, 1580-1584, Wiley, New York, 2005.



3. M. Wood, I. T. Jolliffe and G. W. Horgan. Variable selection for discriminant analysis of fish sounds using matrix correlation. J. Agri. Biol. Envir. Statistics, 10:321-336, 2005.



4. N. M. Al-Kandari and I. T. Jolliffe. Variable selection and interpretation in correlation principal components. Environmetrics, 16:659-672, 2005.



5. I. T. Jolliffe and D. B. Stephenson. Comments on "Discussion of verification concepts in forecast verification: a practitioner's guide in atmospheric science". Wea. Forecasting, 20:796-800, 2005.

1. J. A. Mooney, P. J.Helms and I. T. Jolliffe. Higher incidence of SIDS at weekends especially in younger infants. Arch. Dis. Child., 8:670-672, 2004.



2. J. A. Mooney, P. J.Helms, I. T. Jolliffe and P. Smail. Seasonality of Type 1 diabetes mellitus in children and its modification by weekends and holidays: retrospective observational study. Arch. Dis. Child., 89: 970-973, 2004.



3. I. T. Jolliffe. P stands for .... Weather, 59:77-79, 2004.



4. J. Mooney and Jolliffe I.. Sensitivity of thegoodness-of-fit test to the choice of classes. Teaching Statistics, 26:23-24, 2004.

1. I. T. Jolliffe and D.B Stephenson, editors. Forecast Verification. A practitioner's guide in atmospheric science. Wiley, Chichester, 2003.



2. I. T. Jolliffe. A cautionary note on artificial examples of EOFs. J. Clim., 16:1084-1086, 2003.



3. J. A. Mooney, P. J. Helms, and I. T. Jolliffe. Fitting mixtures of von Mises distributions: a case study involving sudden infant death syndrome. Comput. Stat. Data Anal., 41:505-513, 2003.



4. Jolliffe I. T., Trendafilov N. T., and Uddin M.. A modified principal component component technique based on the LASSO. J. Comput. Graph. Stat., 12:531-547, 2003.



5. A. F. Zuur, R. J. Fryer, I. T. Jolliffe, R. Dekker, and J. J. Beukema. Estimating common trends in multivariate time series using dynamic factor analysis. Environmetrics, 14:665-685, 2003.

1. P. H. Garthwaite, I. T. Jolliffe, and B. Jones. Statistical Inference. Oxford University Press, Oxford, 2nd edition, 2002.



2. I. T. Jolliffe. Principal Component Analysis. Springer, New York, 2nd edition, 2002.



3. I. T. Jolliffe. Multivariate statistical methods in atmospheric science. Compte-rendu de la IVeme Journee Statistique IPSL, 2002.



4. I. T. Jolliffe, M. Uddin, and S. K. Vines. Simplified EOFs - three alternatives to rotation. Clim. Res., 20:271-279, 2002.



5. X. Zheng, G. J. Pierce, D. G. Reid, and I. T. Jolliffe. Does the North Atlantic current affect spatial distribution of whiting? Testing environmental hypotheses using statistical and GIS techniques. ICES J. Mar. Sci., 59:239-253, 2002.

1. N. M. Al-Kandari and I. T. Jolliffe. Variable selection and interpretation of covariance principal components. Commun. Stat.-Simul. Comput., 30:339-354, 2001.



2. J. F. C. L. Cadima and I. T. Jolliffe. Variable selection and the interpretation of principal subspaces. J. Agric. Biol. Environ. Stat., 6:62-79, 2001.



3. D. E. S. Dodd and I. T. Jolliffe. Early detection of the start of the wet season in semiarid tropical climates of Western Africa. Int. J. Climatol., 21:1251-1262, 2001.



4. K. I. Penny and I. T. Jolliffe. A comparison of multivariate outlier detection methods for clinical laboratory safety data. J. R. Stat. Soc. Ser. D-Stat., 50:295-308, 2001.

1. E. E. Bassett, J. M. Bremner, I. T. Jolliffe, B. Jones, B. J . T. Morgan, and P. M. North. Statistics - Problems and Solutions. World Scientific, Singapore, 2nd edition, 2000.



2. I. T. Jolliffe and M. Uddin. The simplified component technique: An alternative to rotated principal components. J. Comput. Graph. Stat., 9:689-710, 2000.

1. A. S. Douglas, P. J. Helms, and I. T. Jolliffe. Seasonality, but not prevalence of sudden infant death syndrome varies by region in mainland Britain. Eur. Resp. J., 13:95-99, 1999.



2. I. T. Jolliffe. An example of instability in the mean. Teaching Statistics, 21:29, 1999.



3. K. I. Penny and I. T. Jolliffe. Multivariate outlier detection applied to multiply imputed laboratory data. Stat. Med., 18:1879-1895, 1999.

1. I. T. Jolliffe and T. J. Ringrose. Canonical corrrespondence analysis. In: Encyclopedia of Statistical Sciences (eds. S. Kotz and N. L. Johnson), 91-97, Wiley, New York, 1998.



2. I. T. Jolliffe. Factor Analysis. Overview.. In: Encyclopedia of Biostatistics (eds. P. Armitage and T. Colton), 1474-1482, Wiley, New York, 1998.



3. S. Al-Awadhi and I. T. Jolliffe. Time series modelling of surface pressure data. Int. J. Climatol., 18:443-455, 1998.



4. Y-S. Choi, I. T. Jolliffe, and J-R. Lee. Robust weighted nonmetric multidimensional scaling. J. Data Science Classif., 2:33-47, 1998.



5. A. S. Douglas, P. J. Helms, and I. T. Jolliffe. Seasonality of sudden infant death syndrome (SIDS) by age at death. Acta Paediatr., 87:1033-1038, 1998.



6. A. S. Douglas, P. J. Helms, and I. T. Jolliffe. Seasonality of sudden infant death syndrome in mainland Britain and Ireland 1985-95. Arch. Dis. Child., 79:269-270, 1998.



7. I. T. Jolliffe and A. Jolliffe. Comment on ‘Modelling memory in coal tits: an illustration of the EM algorithm’ . Biometrics, 54:792-793, 1998.

1. N. M. AlKandari and I. T. Jolliffe. Variable selection and interpretation in canonical correlation analysis. Commun. Stat.-Simul. Comput., 26:873-900, 1997.



2. A. S. Douglas, R. Gupta, P. J. Helms, and I. T. Jolliffe. Month of birth as an independent variable in the sudden infant death syndrome. Paediatr. Perinat. Epidemiol., 11:57-66, 1997.



3. I. T. Jolliffe and N. M. N. Jolliffe. Descriptive weather forecasts: assessing some methods of assessment. Weather, 52:391-396, 1997.



4. I. T. Jolliffe and A. R. Jolliffe. Modelling memory in coal tits: An illustration of the EM algorithm. Biometrics, 53:1136-1142, 1997.



5. J. Cadima and I.T. Jolliffe. Comment on ‘Optimality criteria for principal component analysis and generalizations.’ Brit. J. Math. Statist. Psychol., 50:365-366, 1997.

1. J. F. C. L. Cadima and I. T. Jolliffe. Size- and shape-related principal component analysis. Biometrics, 52:710-716, 1996.



2. R. Gupta, P. J. Helms, I. T. Jolliffe, and A. S. Douglas. Seasonal variation in sudden infant death syndrome and bronchiolitis - A common mechanism?. Am. J. Respir. Crit. Care Med., 154:431-435, 1996.



3. I. T. Jolliffe. Sample sizes and the central limit theorem: The Poisson distribution as an illustration - Reply. Am. Stat., 50:282-282, 1996.



4. I. T. Jolliffe and P. B. Hope. Bounded bivariate distributions with nearly normal marginals. Am. Stat., 50:17-20, 1996.



5. I. T. Jolliffe and P. B. Hope. Representation of daily rainfall distributions using normalized rainfall curves. Int. J. Climatol., 16:1157-1163, 1996.



6. I. T. Jolliffe, B. J. T. Morgan, and P. J. Young. A simulation study of the use of principal components in linear discriminant analysis. J. Stat. Comput. Simul., 55:353-366, 1996.



7. J. M. Potts, C. K. Folland, I. T. Jolliffe, and D. Sexton. Revised ''LEPS'' scores for assessing climate model simulations and long-range forecasts. J. Clim., 9:34-53, 1996.

1. P. H. Garthwaite, I. T. Jolliffe, and B. Jones. Statistical Inference. Prentice Hall, 1995.



2. J. Cadima and I. T. Jolliffe. Loadings and correlations in the interpretation of principal components. J. Appl. Stat., 22:203-214, 1995.



3. I. T. Jolliffe. Rotation of principal components - choice of normalization constraints. J. Appl. Stat., 22:29-35, 1995.



4. I. T. Jolliffe. Sample sizes and the central-limit-theorem - the Poisson distribution as an illustration. Am. Stat., 49:269-269, 1995.



5. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Identifying influential observations in hierarchical clusteranalysis. J. Appl. Stat., 22:61-80, 1995.

1. I. T. Jolliffe and D. E. Sarria-Dodd. Early detection of the start of the wet season in tropical climates. Int. J. Climatol., 14:71-76, 1994.

1. I. T. Jolliffe. Principal component analysis: a beginners's guide. II Pitfalls and Extensions. Weather, 48:246-253, 1993.



2. I. T. Jolliffe and S. Lukudu. The influence of a single observation on some standard statistical tests. J. Appl. Stat., 20:143-151, 1993.

1. I. T. Jolliffe and B. J. T. Morgan. Principal component analysis and exploratory factor analysis. Stat. Meth. Med. Res., 1:69-85, 1992.



2. P. Pack and I. T. Jolliffe. Influence in correspondence-analysis. Appl. Stat.-J. R. Stat. Soc., 41:365-380, 1992.

1. I. T. Jolliffe. Statistical appendix to 'An apparent relationship between the timing of lunar phase and severe winters'. Weather, 46:46-47, 1991.

1. I. T. Jolliffe. Combining independent test-results - comment on Han. Am. Stat., 44:327-327, 1990.



2. I. T. Jolliffe. Lengths of very warm and very cold spells at Edgbaston. Int. J. Climatol., 10:407-411, 1990.



3. I. T. Jolliffe. Principal component analysis: a beginners's guide. I Introduction and applications. Weather, 45:375-382, 1990.



4. I.T.Jolliffe. Comment on 'Combining tests for correlation coefficients.' Amer. Statistician, 44:327, 1990.

1. I. T. Jolliffe. Rotation of ill-defined principal components. Appl. Stat.-J. R. Stat. Soc., 38:139-147, 1989.



2. I. T. Jolliffe, O. B. Allen, and B. R. Christie. Comparison of variety means using cluster-analysis and dendrograms. Exp. Agric., 25:259-269, 1989.



3. I.T.Jolliffe. Comment on 'Characterizing the Domain of a Regression Model.' Amer. Statistician, 43:129, 1989.

1. P. Pack, I. T. Jolliffe, and B. J. T Morgan. Influential observations in principal component analysis: a case study. J. Appl. Stat., 15:37-50, 1988.



2. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Stability and influence in cluster analysis. In E. Diday et al., editor, Data and Informatics, 5, Amsterdam, 1988. North Holland.

1. T. M. Farley and I. T. Jolliffe. Measures of association for two-way contingency tables: two case studies. J. Appl. Stat., 14:229-237, 1987.



2. I. T. Jolliffe. Rotation of principal components - some comments. J Climatol, 7:507-510, 1987.



3. I. T. Jolliffe. Comment on 'Selection of variables to preserve multivariate data structure using principal components'. Appl. Statistics, 36: 373-374, 1987.



4. I.T.Jolliffe. Comment on 'A Fable of PCA'. Amer. Statistician, 41:341, 1987.

1. I. T. Jolliffe. Principal Component Analysis. Springer, New York, 1986.



2. E. E. Bassett, J. M. Bremner, I. T. Jolliffe, B. Jones, B. J . T. Morgan, and P. M. North. Statistics - Problems and Solutions. Edward Arnold, 1986.



3. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Comparison of cluster analyses of the english personal social services authorities. J. R. Stat. Soc. Ser. A-Stat. Soc., 149:253-270, 1986.



4. I. T. Jolliffe. Graphical representation of multiple comparisons using dendrograms. In E. Diday et al., editor, Data and Informatics, 4, Amsterdam, 1986. North Holland.

1. I. T. Jolliffe. Large falls of rain in Wales - a simple statistical case study. Weather, 38:103-106, 1983.



2. I. T. Jolliffe. Quasi-periodic meteorological series and 2nd-order autoregressive processes. J Climatol, 3:413-417, 1983.



3. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. The application of statistical-methods in personal socialservices - a review (comment). J. R. Stat. Soc. Ser. A-Stat. Soc., 146:319, 1983.



4. I. T. Jolliffe and B. J. T. Morgan. A method for comparing 2 hierarchical clusterings - comment. J. Am. Stat. Assoc., 78:580-581, 1983.

1. I. T. Jolliffe. A note on the use of principal components in regression. Appl. Stat.-J. R. Stat. Soc., 31:300-303, 1982.



2. I. T. Jolliffe, B. Jones, Knapp M. R. J., and B. J. T. Morgan. Classifications of the elderly population. Ageing and Society, 2:331-355, 1982.



3. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. An approach to assessing the needs of the elderly. Clearing House for Local Authority Social Services Research, 2:1-102, 1982.



4. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Cluster analysis of elderly populations: an aid to strategic planning. Social Work Service, 30:39-42, 1982.



5. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Utilizing clusters - a case-study involving the elderly. J. R. Stat. Soc. Ser. A-Stat. Soc., 145:224-236, 1982.

1. I. T. Jolliffe. Runs tests for detecting dependence between 2 variables. Statistician, 30:137-141, 1981.

1. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. An approach to assessing the needs of the elderly. Municipal J., 88:1121-1122, 1980.



2. I. T. Jolliffe and I. Sarginson. 4-14 July as a predictor of the remainder of the summer: some further evidence. J. Meteorol., 5:318-320 (see also 6,90), 1980.



3. I. T. Jolliffe, B. Jones, and B. J. T. Morgan. Cluster analysis of the elderly at home: a case study. In E. Diday et al., editor, Data and Informatics, Amsterdam, 1980. North Holland.

1. I. T. Jolliffe. How accurate are long-range weather forecasts?. New Scientist, 84:192-194, 1979.



2. I. T. Jolliffe. Second-order autoregressive processes - a useful reparameterisation. Int. J. Math. Educ. Sci. Technol., 10:339-342, 1979.

1. I. T. Jolliffe and J. F. Foord. Assessment of long-range forecasts. Weather, 30:172-181 (see also 31, 101), 1975.



2. I. T. Jolliffe. Cluster analysis as a multiple comparison method. In Applied Statistics, Amsterdam, pages 159-168, 1975. North Holland.

1. I. T. Jolliffe. Discarding variables in a principal component analysis, II Real data. Appl. Statist., 22:21-31, 1973.

1. I. T. Jolliffe. Discarding variables in a principal component analysis, I Artificial data. Appl. Statist., 21:160-173, 1972.

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