|
<< Click to Display Table of Contents >> Navigation: Resources > Bibliography |
Abramowitz M, Stegun I A, eds.(1972) Handbook of Mathematical Functions With Formulas, Graphs, and Mathematical Tables. 10th printing, US National Bureau of Standards, Applied Mathematics Series — 55
Abdi H (2007) The Kendall Rank Correlation Coefficient. in Salkind N, ed.(2007) Encyclopedia of Measurement and Statistics. Sage Publications, Thousand Oaks, CA, USA. Available from: http://www.utdallas.edu/~herve/Abdi-KendallCorrelation2007-pretty.pdf
Adler H L, Roessler E B (1960) Introduction to Probability and Statistics. W H Freeman & Co, San Francisco
Aitkin M, Anderson D, Francis B, Hinde J (1989) Statistical Modelling in GLIM, Oxford Science Publications, Oxford, UK
Altman D G (1982) How Large a Sample? in Gore S M, Altman D G eds. Statistics in Practice. BMA, London
Altman D G, Bland J M (1991) Improving Doctors' Understanding of Statistics. J of the Royal Stat. Soc., A, 154(2), 223-267
Altman M, Gill J, McDonald M P (2004) Numerical Issues in Statistical Computing for the Social Scientist. Wiley Series in Probability and Statistics, J Wiley & Sons, NJ
Altman M, McDonald M P (2002) Choosing Reliable Statistical Software. Political Science & Politics, 34(3), 681-687
Anderson G F, Hussey P S (2000) Multinational Comparison of Health Systems Data, 2000. Johns Hopkins University/The Commonwealth Fund, October 2000. Available from: http://www.commonwealthfund.org/
Anscombe F J (1948) The transformation of Poisson, binomial and negative-binomial data. Biometrika, 35, 246-254
Anscombe F J (1950) Sampling Theory of the Negative Binomial and Logarithmic Series Distributions. Biometrika, 37(3/4), 358-382
Anselin L (1988) Spatial econometrics: Methods and models. Kluwer Academic Publishers, Dordrecht, NL
Anselin L (2002) Under the hood: Issues in the specification and interpretation of spatial regression models. Agricultural Economics, 17(3), 247-67
Anselin L, Bera A (1998) Spatial dependence in linear regression models with an introduction to spatial econometrics. in Ullah A, Giles D (eds.) Handbook of applied economic statistics. Marcel Dekker, New York, 237-89
Apostol T M (1974) Mathematical Analysis. Addison-Wesley, Reading, Mass.
Baddeley A, Turner R, Moller J, Hazelton M (2005) Residual analysis for spatial point processes. J of the Royal Statistical Society, Series B, 67, 617–666
Bailey T C, Gatrell A C (1995) Interactive spatial data analysis. Longman, Harlow, UK
Bartlett M S (1937) Properties of sufficiency and statistical tests. Proc of the Royal Statistical Society, Series A, 160, 268–282
Bartlett M S (1941) The statistical significance of canonical correlations. Biometrica, 32, 29-38
Bartlett J E II, Kotrlik J W, Higgins C (2001) Organizational research: Determining appropriate sample size for survey research. Information Technology, Learning, and Performance Journal, 19(1) 43-50
Bates D M, Watts D G (1988) Nonlinear Regression Analysis and its Applications. John Wiley and Sons, New York
Batty M, Jiang B, Thurstain-Goodwin M (1998) Local movement: agent-based models of pedestrian movement, Working Paper 4, CASA, UCL London
Belisle C J P (1992) Convergence theorems for a class of simulated annealing algorithms on Rd. J Applied Probability, 29, 885–895
Berens P, Velasco M J (2009) MATLab file exchange: CircStats: A circular statistics toolbox: http://www.mathworks.com/matlabcentral/fileexchange/10676
Bergmann R, Ludbrook J, Spooren W P J M (2000) Different Outcomes of the Wilcoxon-Mann-Whitney Test from Different Statistics Packages. The American Statistician, 54(1), 72-77
Berger J (2006) The case for objective Bayesian analysis. Bayesian Analysis, 1(3), 385-402
Berke O (2004) Exploratory disease mapping: kriging the spatial risk function from regional count data. Intl. J of Health Geographics, 3(18), 1-11 (available from Biomed Central: www.ij-healthgeographics.com)
Besag J, Kooperberg C L (1995) On conditional and intrinsic autoregressions. Biometrika, 82, 733-46
Besag J, York J, Mollie A (1991) Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Maths, 43, 1-59
Best D J, Roberts D E (1975) Algorithm AS 89: The upper tail probabilities of Spearman's rho. Applied Statistics, 24, 377–379
Best D J, Gipps P G (1974) Algorithm AS 71, Upper tail probabilities of Kendall's tau. Applied Statistics, 23, 98-100
Beyer W H (1966) Handbook of Tables for Probability and Statistics. CRC Press, Cleveland, OH
Blastland M, Dilnot A (2008) The Tiger That Isn't. Profile Books, London
Bloomfield P (1976) Fourier Analysis of Time Series: An Introduction. Wiley
Borenstein M, Hedges L V, Higgins J P T ,Rothstein H R (2009) Introduction to Meta Analysis. John Wiley & Sons Ltd, Chichester, UK
Bowman A W, Azzalini A (1997) Applied smoothing techniques for data analysis: The kernel approach with S-Plus illustrations. Oxford Statistical Science Series, Oxford University Press, Oxford
Box G E P, Cox D R (1964) An analysis of transformations. J of the Royal Statistical Society, Series B, 26(2), 211–252
Box G E P,Hunter J S, Hunter W G (1978) Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. J Wiley & Sons, New York. J Wiley & Sons, New York. The second, extended edition was published in 2005
Box G E P, Jenkins G M (1968). Some recent advances in forecasting and control. Applied Statistics, 17(2), 91-109
Box G E P, Jenkins G M, Reinsel G C (1994). Time Series Analysis, Forecasting and Control. 3rd ed. Prentice Hall, Englewood Cliffs, NJ.
Bozdogan H (1987) Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its Analytical Extensions. Psychometrika, 52, 345-370
Bradford Hill A (1937) Principles of Medical Statistics. The Lancet, London (issued in various editions until 1971. Then republished as "A Short Textbook of Medical Statistics" in 1977
Bradford Hill A (1965) The Environment and Disease: Association or Causation? Proc. of the Royal Soc. of Medicine, 58, 295-300. A copy of this article is reproduced on Tufte's website: http://www.edwardtufte.com/tufte/hill
Brockwell P J, Davis R A (1991) Time Series: Theory and Methods. 2nd ed., Springer. New York
Brogan D J (1998) Pitfalls of Using Standard Statistical Software Packages for Sample Survey Data. Encyclopedia of Biostatistics. J Wiley, New York
Brooks S P (1998) Markov Chain Monte Carlo Method and Its Application. J of the Royal Statistical Society. Series D (The Statistician), 47(1), 69-100
Brown L D, Cai T T, DasGupta A (2001) Interval estimation for a Binomial proportion. Statistical Science, 16(2), 101-117
Brown M B, Forsythe A B (1974) Robust Tests for Equality of Variances. J of the American Statistical Association, 69, 364–367
Brunk H D (1960) An Introduction to Mathematical Statistics. Blaisdell Publishing, Waltham, Mass.
Burrough P A, McDonnell R A (1998) Principles of Geographical Information Systems. Appendix 3. Oxford University Press, Oxford
Cameron A, Trivedi P (1998) Regression analysis of count data. Cambridge University Press, Cambridge, UK
Campbell M J, Machin D, Walters S J (2007) Medical Statistics : A Textbook for the Health Sciences. 4th Ed., John Wiley & Sons Ltd, Chichester
Carley S, Dosman S, Jones S R,Harrison M (2003) Simple nomograms to calculate sample size in diagnostic studies. Emerg. Med. J (EMJ), 22, 180-181
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
Cochran W G (1977) Sampling Techniques. 3rd ed., J Wiley, New York
Collins L (1975) An Introduction to Markov Chains. CATMOG 1. Available from: http://qmrg.org.uk/catmog/
Conover W J (1999) Practical Nonparametric Statistics. 3rd ed., J Wiley & Sons, New York
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
Crow E L, Davis F A, Maxfield M W (1960) Statistics Manual. Dover Publications, New York. Reprinted in 2003 and still available
Dacey M (1968) A review of measures of contiguity for two and k-color maps. pp 479-95 in Berry B J L, Marble D F eds. Spatial Analysis. Prentice Hall, New Jersey
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
Davies O L ed. (1961) Statistical Methods in Research and Production. 3rd ed., Oliver & Boyd, London
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
Draper G, Vincent T, Kroll M E, Swanson J (2005) Childhood cancer in relation to distance from high voltage power lines in England and Wales: a case-control study. British Medical J, 330, 4 June 2005, 1-5
Dupont W D, Plummer W D (1990) Power and sample size calculations. Controlled Clinical Trials, 11,116-128
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
Ehrenberg A S C (1959) The Pattern of Consumer Purchases. Applied Statistics, 8(1), 26-41
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
Evans A S (1976) Causation and Disease: The Henle-Koch Postulates Revisited. Yale J Biol Med., 49(2), 175-195
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
Freeman M F, Tukey J W (1950) Transformations related to the angular and the square root. Ann. Math. Statist., 21, 607-11
Friendly M (2000) Visualizing Categorical Data. SAS Institute, Cary, NC.
Gaile G L, Burt J E (1980) Directional Statistics. CATMOG 25. Obtainable from: http://www.qmrg.org.uk/catmog/index.html
Gelfand A E, Diggle P J, Fuentes M, Guttorp P eds. (2010) Handbook of Spatial Statistics. Chapman Hall/CRC Press, Boca Raton, Florida
Getis A D, Griffith D A (2002) Comparative spatial filtering in regression analysis. Geog. Anal., 34, 130-40
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
Gladwell M (2008) Outliers — the story of success. Alan Lane/Penguin, London
Geman S, Geman D (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell., 6, 721-741
Gilks W R, Richardson S, Spiegelhalter D J (1996) Markov Chain Monte Carlo in Practice. Chapman & Hall/CRC Press
Greenland S, Pearl J, Robins J M (1999) Causal Diagrams for Epidemiologic Research, Epidemiology,10(1), 37-48
Goldacre B (2009) Bad Science. Harper Perennial. ISBN: 978-0007284870
Goldacre B (2012) Bad Pharma: How drug companies mislead doctors and harm patients. Fourth Estate. ISBN:978-0007350742
Gonik L, Smith W (1993) Cartoon Guide to Statistics. Harper Collins, New York
Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York
Gosset W S (1908) On the probable error of the mean. Biometrika, 6, 1-25.
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
Griffith D A (2005) A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States, Intl. J of Health Geographics, 4:18. Available from: https://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-4-18
Grinstead C M, Snell J L (1997) Introduction to Probability, 2nd ed. AMS, 1997. Available from: http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf
Grunwald P (2008) MDL — Tutorial Video lecture. Available from http://videolectures.net/icml08_grunwald_mld/
Haining R (2003) Spatial data analysis — theory and practice. Cambridge University Press, Cambridge, UK
Halley E (1693) An Estimate of the Degrees of Mortality of Mankind. Phil. Trans. of the Royal Society, January 1692/3, p.596-610; Available online at http://www.pierre-marteau.com/editions/1693-mortality.html. Also available in Newman J R (1960) The World of Mathematics. Vol 3, Part VIII Statistics and the Design of Experiments, pp1436-1447. Oliver & Boyd, London
Hanan E J (1960) Time Series Analysis. Methuen, London
Hansen M H, Yu B (2001) Model Selection and the Principle of Minimum Description Length. J of the American Statistical Association, 96, 454, 746-774
Hastie T J, Tibshirani R J (1990) Generalized Additive Models. Chapman and Hall, New York
Hastings W K (1970) Monte Carlo Sampling Methods Using Markov Chains and Their Applications. Biometrika, 57(1), 97-109
Hedayat A S,Sinha B K (1991) Design and inference in finite population sampling. John Wiley & Sons, New York
Hill A B — see Bradford Hill
Hoel P G (1947) An Introduction to Mathematical Statistics. J Wiley & Sons, New York
Hotelling H (1936) Relations between two sets of variables. Biometrika, 28, 321–327
Hubbard R, Bayarri M J (2003) P Values are not Error Probabilities. PDF obtainable from: https://www.uv.es/sestio/TechRep/tr14-03.pdf
Huff D (1954) How to Lie with Statistics. W W Norton & Co, New York
Hunter J S (1986) The exponentially weighted moving average. J of Quality Technology, 18, 203-210
Irwin J O (1937) The frequency distribution of the difference between two independent variates following the same Poisson distribution. J of the Royal Statistical Society, Series A, 100, 415-416
Irwin J O (1954) A distribution arising from the study of infectious diseases. Biometrika, 41, 266-268
Izquierdo L R, Izquierdo S S, Galán J M, Santos J I (2009) Techniques to Understand Computer Simulations: Markov Chain Analysis. J of Artificial Societies and Social Simulation, 12,1/6. Available online at: http://jasss.soc.surrey.ac.uk/12/1/6.html
Jha P, Jacob B, Gajalakshmi V et al. (2008) A nationally representative case-control study of smoking and death in India. N Engl J Med; 358:1137-1147
Jammalamadaka S R, SenGupta A (2001) Topics in Circular Statistics. World Scientific Press, Singapore
Jarque C M, Bera A K (1987) A test for normality of observations and regression residuals. Intl Statistical Review, 55(2), 163–172
Jenks G F, Caspall F C (1971) Error on choroplethic maps: Definition, measurement, reduction. Annals of American Geographers, 61, 217-44
John J H, Ziebland S, Yudkin P L, Roe L S, Neil H A W for the Oxford Fruit and Vegetable Study Group (2002) A randomised controlled trial of a primary care intervention to increase fruit and vegetable consumption: effects on plasma antioxidant concentrations and blood pressure. Lancet ; 359:1969-74
Johnson N L (1949) Systems of frequency curves generated by methods of translation. Biometrika, 36, 149-176
Johnson N L, Kotz S (1969) Discrete distributions. Houghton-Mifflin, Boston/ J Wiley & Sons, New York. Note that a 3rd edition of this work, with revisions and extensions, is published by J Wiley & Sons (2005) with the additional authorship of Adrienne Kemp of the University of St Andrews.
Johnson N L, Kotz S (1970) Continuous Univariate Distributions — 1 & 2. Houghton Mifflin/John Wiley & Sons, New York
Johnson N L, Kotz S (1972) Continuous Multivariate Distributions. Houghton Mifflin/John Wiley & Sons, New York
Johnstone I M, Velleman P F (1985) The Resistant Line and Related Regression Methods. J Amer. Statistical Association, 80, 392, 1041-1054
Jones B, Nachtsheim C J (2009) Split plot designs: What, Why, How. J Quality Technology, 41(4), 340-361
Jones S R, Carley S, Harrison M (2003) An introduction to power and sample size estimation. Emerg. Med. J (EMJ), 20, 453-458
Joyce J (2003) Bayes' Theorem. Stanford Encyclopedia of Philosophy. available from: https://plato.stanford.edu/entries/bayes-theorem/
Kabos S, Csillag F (2002) The analysis of spatial association on a regular lattice by join-count statistics without the assumption of first-order homogeneity. Computers & Geosciences, 28, 901-910
Kemeny J G, Snell J L (1967) Finite Markov Chains. van Nostrand, Princeton, NJ
Kemeny J G, Snell J L, Thompson G L (1974) Introduction to Finite Mathematics. 3rd ed., Prentice-Hall, Englewood Cliffs, NJ
Kendall M G (1938) A New Measure of Rank Correlation. Biometrika, 30, 81-93
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
Kendall M G, Stuart A (1943) The Advanced Theory of Statistics: Volume 1, Distribution Theory. Charles Griffin & Company, London. First published in 1943, revised in 1958 with Stuart
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
King G, Rosen O, Tanner M A (2004) Ecological inference: New methodological strategies. Cambridge University Press, Cambridge UK
Kinmonth A L, Wareham N J, Hardeman W, Sutton S, Prevost A T, Fanshawe T et al. (2008) Efficacy of a theory-based behavioural intervention to increase physical activity in an at-risk group in primary care (ProActive UK): a randomised trial. Lancet ; 371 (9606):41-48
Kizilersü A, Kreer M, and Thomas A W (2018) The Weibull Distribution. Significance, Royal Stat. Soc., April 2018 pp.10-11
Kotz S, Balakrishnan N, Johnson N L (2000) Continuous multivariate distributions I: Models and Applications. 2nd edition. John Wiley & Sons, New York
Kotz S, Johnson L (eds.) (1988) Encyclopedia of Statistical Sciences. Vols 1-9, J Wiley & Sons, New York. A 2nd edition with almost 10,000 pages was published with Kotz as the Editor-in-Chief, in 2006
Knuth D E (1997) The Art of Computer Programming. Vol 2, 3rd ed.
Kruskal W H, Wallis W A (1952) Use of ranks in one-criterion variance analysis. J of the American Statistical Association, 47(260), 583–621
Krzanowski W J (1988) Principles of Multivariate Analysis. A User's Perspective. Oxford UP
Kullback S (1959) Information theory and statistics. John Wiley & Sons Inc.
Lavalle S M (1998) Rapidly-exploring random trees: A new tool for path planning. TR 98-11, Computer Science Dept., Iowa State University. See further Lavalle's RRT page: http://msl.cs.uiuc.edu/rrt/
Lawley D N (1959) Tests of significance in canonical analysis. Biometrica, 46, 59-66
Levine N (2009). CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (v 3.2a). Ned Levine & Associates, Houston, TX, and the National Institute of Justice, Washington, DC.
Li L, Zhu L, Sui D Z (2007) A GIS-based Bayesian approach for analyzing spatio-temporal patterns of intra-city motor vehicle crashs. J of Transport Geog., 15, 274-285
Lichstein J W, Simons T R, Shriner S A, Franzreb K E (2002) Spatial autocorrelation and autoregressive models in Ecology. Ecological Monographs, 72, 445-63
Lilliefors H W (1967) On the Kolmogorov-Smirnov test for normality with mean and variance unknown. J of the American Statistical Association, 62, 399–402
Little R J A, Rubin D B (1987) Statistical analysis with missing data. John Wiley & Sons, New York
Little R J A (1988) A test of missing completely at random for multivariate data with missing values. J of the American Statistical Association, 83, 1198-1202
Ljung G M, Box G E P (1978) On a Measure of a Lack of Fit in Time Series Models. Biometrika, 65, 297–303
Lucas J M, Saccucci M S (1990) Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements. Technometrics, 32(1),1-12
Machin D, Campbell M J, Fayers P, Pinol A (1987) Sample Size Tables for Clinical Studies. Blackwell Science Ltd, Oxford
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
Madras N, Slade G (1993) The Self-avoiding Walk. Birkhäuser, Boston
Mandlebrot B B (1970) Fractals: Form, chance and dimension. San Francisco, Freeman
Mardia K V, Jupp P E (1999) Directional statistics. 2nd ed., John Wiley, Chichester
Marsaglia G (2004) Evaluating the Anderson-Darling distribution J Stat. Software, 9(2). Available from: http://www.jstatsoft.org/v09/i02/paper
Marquardt D W, Snee R D (1975) Ridge Regression in Practice. The American Statistician, 29(1), 3–20
Matheron G (1973) The intrinsic random functions and their application. Advances in Applied Prob., 5, 439-68
Matsumoto M, Nishimura T (1998) Mersenne Twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Transactions on Modeling and Computer Simulation, 8, 3–30. Source code at http://www.math.keio.ac.jp/~matumoto/emt.html
McCullagh P, Nelder J (1989) Generalized Linear Models. 2nd ed., Chapman & Hall/CRC Press, Boca Raton, USA
McDonald J H (2009) Handbook of Biological Statistics, 2nd ed. Sparky House Publishing, Baltimore, Maryland. Available from: http://www.biostathandbook.com/
Metropolis N, Rosenbluth A W, Rosenbluth M N, Teller A H, Teller E (1953) Equations of State Calculations by Fast Computing Machines. J of Chemical Physics, 21(6), 1087–1092
Mood A M, Graybill F A (1950) Introduction to the Theory of Statistics. McGraw-Hill, New York
Newman J R (1960) The World of Mathematics. Vol 3, Part VIII Statistics and the Design of Experiments. Oliver & Boyd, London
Mossman D, Berger J O (2001) Intervals for post-test probabilities: a comparison of five methods. Medical Decision Making, 21(6), 498-507
Nakaya T, Fotheringham A S, Brunsdon C, Charlton M (2005) Geographically weighted Poisson regression for disease association mapping. Statist. in Med., 24, 2695–717
Nocedal J, Wright S J (1999) Numerical Optimization. Springer. New York
NIST/SEMATECH e-Handbook of Statistical Methods: https://www.itl.nist.gov/div898/handbook/
Oden N (1995) Adjusting Moran's I for population density. Statistics in Medicine, 14, 17-26
Olson S H, Voigt L F, Begg C B, Weiss N S (2002) Reporting participation in case-control studies. Epidemiology, 13(2), 123-6
Pearson E S (1933) A Survey of the Uses of Statistical Method in the Control and Standardization of the Quality of Manufactured Products. J Royal Stat. Soc., 96,1, 21-75
Pearson E S, Hartley H O eds. (1954) Biometrika Tables for Statisticians. 4th edition. Vol. 1, Cambridge University Press, Cambridge, UK
Pearson K (1905) The problem of the Random Walk. Nature, 72, 294
Pearson K (1924) Historical note on the origin of the normal curve of errors. Biometrika, 16(4), 402–404
Pearson K, Lee A (1903) On the Laws of Inheritance in Man: I. Inheritance of Physical Characters. Biometrika, 2(3), 357-462
Pena D, Tiao G C, Tsay R S, eds. (2001) A course in time series analysis. New York: John Wiley and Sons
Phillips C V, Goodman K J (2004) The missed lessons of Sir Austin Bradford Hill. Epidemiologic Perspectives & Innovations, 1(3). Available from: https://epi-perspectives.biomedcentral.com/articles/10.1186/1742-5573-1-3
Pickles A (2005) Missing data, problems and solutions. pp. 689-694 in Kempf-Leonard K, ed., Encyclopedia of social measurement. Elsevier, Amsterdam
Plackett R L, Burman J P (1946) The Design of Optimal Multifactorial Experiments. Biometrika, 33(4), 305-325
Roberts S W (1959) Control Chart Tests Based on Geometric Moving Averages. Technometrics, 1, 239-250
Rothman K J, Greenland S, Lash T L eds. (2008) Modern Epidemiology. 3rd Ed., Lippincott Williams & Wilkins
Royston P (1982) An extension of Shapiro and Wilk's W test for normality to large samples. Applied Statistics, 31, 115-124
Rubin D B (1976) Inference and Missing Data, Biometrika, 63, 581-592.
Rubin D B (1987) Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.
Rubin D B (1996) Multiple Imputation after 18+ Years. J of the American Statistical Association, 91, 473-489
Rumbelow H (2009) breast is best? exposing the myths of breastfeeding. The Times, 20th July 2009. An edited version of this article was publ;ished in the RSS/ASA magazine, Significance, in December 2010.
SAS/STAT (2009) 9.2 User Guide. SAS Institute Inc., Cary, NC, USA
Sawada M (1999) ROOKCASE: An Excel 97/2000 Visual Basic (VB) Add-in for exploring global and local spatial autocorrelation. Bull. Ecological Soc. America, 80, 231-4
Schwarz G (1978) Estimating the Dimension of a Model. Annals of Statistics, 6, 461–464
Scott D W (1979) On optimal and data-based histograms. Biometrika, 66(3), 605–610
Shannon C, Weaver W (1949) The Mathematical Theory of Communication. Univ. Illinois Press, Urbana, IL, USA
Shapiro S S, Wilk M B (1965) An Analysis of Variance Test for Normality (Complete Samples). Biometrika, 52(3/4), 591-611
Siegel S (1956) Nonparametric statistics for the behavioral sciences. McGraw-Hill, New York
Siegel S, Castellan N J (1998) Nonparametric Statistics for the Behavioral Sciences. 2nd ed., McGraw Hill, New York
Silverman B W (1986) Density estimation for statistics and data analysis. Chapman and Hall, New York
Skellam J G (1946) The frequency distribution of the difference between two Poisson variates belonging to different populations. J of the Royal Statistical Society, Series A, 109, 296
Snedecor G W, Cochran W G (1989) Statistical Methods. Iowa State University Press
Sokal R R, Rohlf F J (1995) Biometry: The Principles and Practice of Statistics in Biological Research. 2nd ed., W H Freeman & Co, New York
Spearman C (1904) The proof and measurement of association between two things. Amer. J Psychol., 15, 72–101
Stephens M A (1972) EDF tests for goodness of fit: Part I. US Office of Naval Research, Tech. Rpt. 186
Stephens M A (1974) EDF tests for goodness of fit and some comparisons. J Amer. Statistical Assoc., 69(347), 730-737
Stigler S M (1986) The History of Statistics. Harvard University Press, Harvard, Mass
Svensson E, Christiansen C F, Ulrichsen S P, Rorth M R, Sorensen H T (2017) Survival after bone metastasis by primary cancer type: a Danish population-based cohort study. BMJ Open 2017;7:e016022
The Epidural and Position Trial Collaborative Group (2017) Upright versus lying down position in second stage of labour in nulliparous women with low dose epidural: BUMPES randomised controlled trial. BMJ ;359:j4471
Tukey J W (1977) Exploratory data analysis. Addison-Wesley, Reading, MA
Tufte E (2001) The Visual Display of Quantitative Information. Graphics Press, Cheshire, CT., 2nd edition
UK Maths, Stats & OR Network. Guides to Statistical Information: Probability and statistics Facts and Formulae. www.mathstore.ac.uk
van Buuren S (2007) Multiple imputation of discrete and continuous data by fully conditional specification. Statistical Methods in Medical Research, 16, 219-242
von Hippel (2005) Mean, Median, and Skew: Correcting a Textbook Rule. J of Statistics Education, 13, 2
Wall M M (2004) A close look at the spatial structure implied by the CAR and SAR models. J of Statistical Planning and Inference, 121, 311-24
Watson H W, Galton F (1875) On the Probability of the Extinction of Families. J of the Anthropological Institute of Great Britain, 4, 138–144
Whitley E, Ball J (2002) Statistics Review 4: Sample size calculations. Critical Care, 6, 335-341
Wilkinson R, Pickett K (2009) The Spirit Level — Why Equality is Better for Everyone. Allen Lane, London (Penguin edition, with updates, 2010)
Woolf B (1955) On estimating the relation between blood group and disease. Ann. Human Genetics, 19, 251-253
Yasui Y, Liu H, Beach J, Winget M (2000) An empirical evaluation of various priors in the empirical Bayes estimation of small area disease risks. Statistics in Medicine, 19, 2409-20
Yudkowsky E S (2003) An Intuitive Explanation of Bayesian Reasoning. available from http://yudkowsky.net/rational/bayes and see the more recenttt: https://arbital.com/p/bayes_rule/
Yule G U, Kendall M G (1950) An Introduction to the Theory of Statistics. Griffin, London, 14th edition (first edition was published in 1911 under the sole authorship of Yule)
Zar J H (1999) Biostatistical Analysis. Prentice Hall, NJ, USA