Resources > Bibliography

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Chatfield C (1975) The Analysis of Times Series: Theory and Practice. Chapman and Hall, London. Datasets for this book (revised editions, 6th ed. 2003) are available from StatLib (http://lib.stat.cmu.edu/datasets/chatfield.txt). See also: http://people.bath.ac.uk/mascc/

Chernick M R (2008) Bootstrap Methods: A Guide for Practitioners and Researchers. 2nd ed., J Wiley, Hoboken, NJ

Chib S, Greenberg E (1995) Understanding the Metropolis-Hastings Algorithm. The American Statistician, 49(4), 327-335

Chou Y, Polansky A M, Mason R L (1998) Transforming Nonnormal Data to Normality in Statistical Process Control. J of Quality Technology, 30, 133-141

Clark D (1975) Understanding Canonical Correlation. CATMOG 3. Available from: http://qmrg.org.uk/catmog/

Cleveland W S, Devlin S J (1988) Locally-Weighted Regression: An Approach to Regression Analysis by Local Fitting. J of the American Statistical Association, 83(403), 596–610

Cliff A, Ord J (1973) Spatial autocorrelation. Pion, London

Clifton M, Paul G, Kwok N, Liu D, Wang D-L (2008) Evaluating Performance of Multiple RRTs. IEEE conference on Mechatronic and Embedded Systems and Application

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Collins L (1975) An Introduction to Markov Chains. CATMOG 1. Available from: http://qmrg.org.uk/catmog/

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Conover W J, Johnson M E, Johnson M M (1981) A comparative study of tests for homogeneity of variances, with applications to the outer continental shelf bidding data. Technometrics, 23, 351–361

Cornell J A (2002) Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data. 3rd edition, J Wiley & Sons, New York

Crawley M J (2007, 2012) The R Book. J Wiley & Son, Chichester, UK

Cressie N A C (1991) Statistics for spatial data. John Wiley, New York (Revised edition 1993)

Cressie N A C, Chan N H (1989) Spatial modeling of regional variables. J Amer. Stat. Assoc., 84, 393-401

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David H A, Edwards A W F eds. (2001) The random walk and its fractal limiting form — comments on Venn, 1888. in Annotated Readings in the History of Statistics. Springer. New York

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Davis T P (2006) Science, engineering, and statistics. Applied Stochastic Models in Business and Industry, 22, 401-430. A longer, unpublished version of this paper is available from: http://www.timdavis.co.uk/ScienceEngineeringandStatistics.PDF

Davis T P (2010) Statistical Engineering. Presentation to the Royal Stat. Soc. 2010 Annual Conference. Slides available from Tim Davis' website: http://www.timdavis.co.uk/StatisticalEngineering-RSS%2C2010.pdf

De Moivre A (1713) The Doctrine of Chance: A method of calculating the probabilities of events in play; Available as a freely downloadable PDF from http://books.google.com/books?id=3EPac6QpbuMC

de Smith M J (2004) Distance transforms as a new tool in spatial analysis, urban planning and GIS, Environment & Planning B, 31(1), 85-104

de Smith M J, Goodchild M F, Longley P A (2018) Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. 6th edition, The Winchelsea Press, UK. Available from: https://www.spatialanalysisonline.com/

Deutsch C V, Journel A G (1992, 1998) GSLIB geostatistical software library and user’s guide. Oxford University Press, New York

Diggle P J (1990) A point process modeling approach to raised incidence of a rare phenomenon in the vicinity of a pre-specified point. J Royal Stat. Soc., A, 153, 349-62

Diggle P J (1990) Time Series: A Biostatistical Introduction. Oxford University Press, Datasets for this book are available from StatLib (http://lib.stat.cmu.edu/datasets/diggle)

Dodge Y (2002) The Concise Encyclopedia of Statistics. Springer, New York

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Efron B (1979) Bootstrap methods: another look at the jackknife. Ann. Statist. 7, 1-26

Efron B (1986) Why Isn't Everyone a Bayesian? The American Statistician, 40(1),1

Efron B (1982) The Jackknife, the Bootstrap and other resampling plans. Philadelphia: SIAM

Efron B, Tibshirani R J (1993) An Introduction to the Bootstrap. Chapman and Hall, New York

Efron B, Tibshirani R J (1997) Improvements on cross-validation: The .632+ bootstrap method. J. American Stat. Assoc., 92, 548-560

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Ercan I, Berna Y, Yang Y, Ozkaya G, Cangur S, Ediz B , Kan I (2007) Misuage of Statistics in Medical research. Eur. J of Gen. Med., 4(3), 128-134

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Evans S (1988) The statistical aspects of a study to help in the design of a multi-lingual keyboard. MSc. thesis, University of Kent, UK

Farnum N R (1996) Using Johnson Curves to Describe Non-Normal Process Data. Quality Engineering. 9,2, 329-336

Feller W (1950) An Introduction to Probability Theory and Its Applications. Vols 1 and 2. J Wiley & Sons

Ferris C D, Grubbs F E, Weaver C L (1946) Operating Characteristics for the Common Statistical Tests of Significance. Annals of Mathematical Stats, 17(2), 178-197

Field A (2009) Discovering Statistics Using SPSS. 3rd ed., Sage Publications

Fisher R A (1915) Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika, 10(4), 507–521

Fisher R A (1935) The Design of Experiments. Oliver & Boyd, London

Fisher N I (1993) Statistical analysis of circular data. Cambridge University Press, Cambridge

Fisher W D (1958) On grouping for maximal homogeneity. J of the American Statistical Association, 53, 789-98

Fotheringham A S, Brunsdon C, Charlton M (2002) Geographically Weighted Regression: The analysis of spatially varying relationships. Wiley, New York

Fotheringham A S, Charlton M, Brunsdon C, Nakaya T (2005) Model selection issues in Geographically Weighted Regression. Proc., Geocomputation 2005 Conference, Ann Arbor, Mi. USA

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Friendly M (2000) Visualizing Categorical Data. SAS Institute, Cary, NC.

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Gelfand A E, Diggle P J, Fuentes M, Guttorp P eds. (2010) Handbook of Spatial Statistics. Chapman Hall/CRC Press, Boca Raton, Florida

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Getis A D, Ord J K (1992) The analysis of spatial association using distance statistics. Geog. Anal., 24, 189-206

Getis A D, Ord J K (1995) Local spatial autocorrelation statistics: Distributional issues and an application. Geog. Anal., 27, 287-306

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Gilks W R, Richardson S, Spiegelhalter D J (1996) Markov Chain Monte Carlo in Practice. Chapman & Hall/CRC Press

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Goldacre B (2012) Bad Pharma: How drug companies mislead doctors and harm patients. Fourth Estate. ISBN:978-0007350742

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Gould W, Pitblado J, Sribney W (2005) Maximum Likelihood Estimation with Stata. Stata Press; 3rd ed

Greenland S, Pearl J, Robins J M (1999) Causal Diagrams for Epidemiologic Research, Epidemiology,10(1), 37-48

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Kendall M G, Kendall S F H, Babington-Smith B (1939) The distribution of Spearman's coefficient of rank correlation in a universe in which all rankings occur an equal number of times. Biometrika, 30, 251-273

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Kennedy T (2002) A faster implementation of the pivot algorithm for self-avoiding walks. J Stat. Phys., 106, 407-429; see the code and set of images provided by Kennedy at: http://math.arizona.edu/~tgk/code.html

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Kizilersü A, Kreer M, and Thomas A W (2018) The Weibull Distribution. Significance, Royal Stat. Soc., April 2018 pp.10-11

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Mackay R J, Oldford R W (2002) Scientific method, Statistical method and the Speed of Light, Working Paper 2002-02, Dept of Statistics and Actuarial Science, University of Waterloo, Canada. An excellent paper that provides an insight into Michelson’s 1879 experiment and explanation of the role and method of statistics in the larger context of science

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