John Gower

Name	John Gower
Preferred citation	Gower, J. C.
Title	Gower, J. C.

Research outputs

A conversation with John C Gower

Cox, D. R. and Gower, J. C. 2015. A conversation with John C Gower. International Statistical Review. 83 (3), pp. 339-356.

The Development of Statistical Computing at Rothamsted

Gower, J. C. 2015. The Development of Statistical Computing at Rothamsted. International Statistical Review. 83 (3), pp. 357-370. https://doi.org/10.1111/insr.12093

Measures of Similarity, Dissimilarity and Distance

Gower, J. C. 2006. Measures of Similarity, Dissimilarity and Distance. in: Encyclopedia of Statistical Sciences volume 5 Wiley.

Non-probabilistic classification

Gower, J. C. and Ross, G. J. S. 1998. Non-probabilistic classification. Rizzi, A., Bock, H-H. and Vichi, M. (ed.) Advances in Data Science and Classification: Proceedings 6th Conference of the International Federation of Classification Societies, Rome, 21-24 July 1998 . Springer, New York. pp. 21-28

Prediction regions for categorical variables

Gower, J. C. and Harding, S. A. 1997. Prediction regions for categorical variables. in: Blasius, J. and Greenacre, M. (ed.) Visualization of categorical data Academic Press, San Diego. pp. 405-419

OMEGA (Online multivariate exploratory graphical analysis): routine searching for structure; comment

Gower, J. C. 1990. OMEGA (Online multivariate exploratory graphical analysis): routine searching for structure; comment. Statistical Science. 5, pp. 216-217.

Three-dimensional biplots

Gower, J. C. 1990. Three-dimensional biplots. Biometrika. 77 (4), pp. 773-785. https://doi.org/10.1093/biomet/77.4.773

Approximating a symmetric matrix

Bailey, R. A. and Gower, J. C. 1990. Approximating a symmetric matrix. Psychometrika. 55, pp. 665-675.

Genstat 5 release 2 reference summary . 97pp.

Payne, R. W., Lane, P. W., Ainsley, A. E., Bicknell, K. E., Digby, P. G. N., Harding, S. A., Leech, P. K., Simpson, H. R., Todd, A. D., Welham, S. J., White, Robin P., Gower, J. C., Tunnicliffe Wilson, G. and Verrier, P. J. 1989. Genstat 5 release 2 reference summary . 97pp.

Multiple correspondence analysis and non-linear biplots.

Gower, J. C. 1989. Multiple correspondence analysis and non-linear biplots. pp. 396-397

25th Anniversary of the British Classification Society. Editorial.

Gower, J. C. and Sneath, P. H. A. 1989. 25th Anniversary of the British Classification Society. Editorial. Journal Of Classification. 6, pp. 1-2.

Generalised canonical analysis.

Gower, J. C. 1989. Generalised canonical analysis. in: Multiway data analysis . R. Coppi and S. Bolasco eds Elsevier, Amsterdam. pp. 221-232

Nonlinear biplots.

Gower, J. C. and Harding, S. A. 1988. Nonlinear biplots. Biometrika. 75 (3), pp. 445-455. https://doi.org/10.1093/biomet/75.3.445

Numerical techniques as an aid to objectivity.

Gower, J. C. 1988. Numerical techniques as an aid to objectivity. in: Prospects in systematics . Ed. D.L. Hawksworth. Oxford : Clarendon Press for the Systematics Association pp. 234-251

Statistics and agriculture

Gower, J. C. 1988. Statistics and agriculture. Journal of the Royal Statistical Society, Series A (Statistics in Society). 151 (1), pp. 179-200. https://doi.org/10.2307/2982191

Classification, geometry and data analysis.

Gower, J. C. 1988. Classification, geometry and data analysis. in: Classification and related methods of data analysis . Ed. H.H. Bock. Amsterdam : Elsevier/North Holland pp. 3-14

Genstat 5 reference manual.

Payne, R. W., Lane, P. W., Ainsley, A. E., Bicknell, K. E., Digby, P. G. N., Harding, S. A., Leech, P. K., Simpson, H. R., Todd, A. D., Verrier, P. J., White, Robin P., Gower, J. C., Tunnicliffe Wilson, G. and Paterson, L. J. 1987. Genstat 5 reference manual.

Introduction to ordination techniques.

Gower, J. C. 1987. Introduction to ordination techniques.

Numerical methods of classification.

Gower, J. C. 1986. Numerical methods of classification. Leishmania. Taxonomie et phylogenese. Applications eco-epidemiologiques. (Colloquium Internationale CNRS/INSERM, 1984) Montpellier : IMEEE, 13-20..

Metric and Euclidean properties of dissimilarity coefficients

Gower, J. C. and Legendre, P. 1986. Metric and Euclidean properties of dissimilarity coefficients. Journal Of Classification. 3 (1), pp. 5-48. https://doi.org/10.1007/bf01896809

Ordination and classification.

Digby, P. G. N. and Gower, J. C. 1986. Ordination and classification. Seminaire de Mathematiques Superieures, Montreal, 1982 . Montreal : Les Presses de l'Universite Montreal..

Euclidean distance matrices

Gower, J. C. 1986. Euclidean distance matrices. in: deLeeuw, J., Heiser, W., Meulman, J. and Critchley, F. (ed.) Multidimensional data analysis TSWO Press, Leiden. pp. 11-12, 61-63

On identifying yeasts and related problems.

Gower, J. C. and Payne, R. W. 1986. On identifying yeasts and related problems.

Properties of Euclidean and non-Euclidean distance matrices

Gower, J. C. 1985. Properties of Euclidean and non-Euclidean distance matrices. Linear Algebra and its Applications. 67 (June), pp. 81-97. https://doi.org/10.1016/0024-3795(85)90187-9

Measures of Similarity, Dissimilarity and Distance

Gower, J. C. 1985. Measures of Similarity, Dissimilarity and Distance. in: Kotz, S. and Johnson, N.L. (ed.) Encyclopedia of Statistical Sciences volume 5 Wiley. pp. 397-405

Some Recent Advances in Multivariate Analysis Applied to Anthropometry

Gower, J. C. and Digby, P. N. G. 1984. Some Recent Advances in Multivariate Analysis Applied to Anthropometry. in: Van Vark, G. N. and Howells, W. W. (ed.) Multivariate Statistical Methods in Physical Anthropology Dordrecht Springer. pp. 21-36

Multivariate analysis: Ordination, multidimensional scaling and allied topics

Gower, J. C. 1984. Multivariate analysis: Ordination, multidimensional scaling and allied topics. in: Handbook of applicable mathematics Volume 6 Chapter 17 Wiley. pp. 727-781

Distance matrices and their Euclidean approximation

Gower, J. C. 1983. Distance matrices and their Euclidean approximation. in: Diday, E. (ed.) Third International Conference on Data Analysis and lnfomatics Versailles INRA, Paris. pp. 1-19

Comparing classifications

Gower, J. C. 1983. Comparing classifications. in: Numerical Taxonomy Berlin, Heidelberg Springer. pp. 137-155

Euclidean Distance Geometry

Gower, J. C. 1982. Euclidean Distance Geometry. Mathematical Scientist. 7, pp. 1-14.

Models for the analysis of inter-regional migration

Constantine, A. G. and Gower, J. C. 1982. Models for the analysis of inter-regional migration. Environment and Planning A. 14 (4), pp. 477-497. https://doi.org/10.1068/a140477

Expressing complex relationships in two dimensions

Gower, J. C. and Digby, P. G. N. 1981. Expressing complex relationships in two dimensions. in: Barnett, V. (ed.) Interpreting Multivariate Data Chapter 6 pp. 83-118

Ordination between-and within-groups applied to soil classification

Digby, P. G. N. and Gower, J. C. 1981. Ordination between-and within-groups applied to soil classification. in: Merriam, D. F. (ed.) Down to earth statistics: solutions looking for geological problems New York Syracuse University.

Plotting the optimum positions of an array of cortical electrical phosphenes

Everitt, B. S. and Gower, J. C. 1981. Plotting the optimum positions of an array of cortical electrical phosphenes. Interpreting multivariate data. pp. 279-287.

A modified Leverrier-Faddeev algorithm for matrices with multiple-eigenvalues

Gower, J. C. 1980. A modified Leverrier-Faddeev algorithm for matrices with multiple-eigenvalues. Linear Algebra and its Applications. 31 (June), pp. 61-70. https://doi.org/10.1016/0024-3795(80)90206-2

Problems in interpreting asymmetrical chemical relationships

Gower, J. C. 1980. Problems in interpreting asymmetrical chemical relationships. in: Bisby, F. A., Vaughan, J. G. and Weight, C. A. (ed.) Chemosystematics : Principles and Practice Vol 16 London Academic Press. pp. 399-409

An application of the Leverrier-Faddeev algorithm to skew-symmetric matrix decomposition

Gower, J. C. 1980. An application of the Leverrier-Faddeev algorithm to skew-symmetric matrix decomposition. Utilitas Mathematica. 18, pp. 225-240.

A note on the graphical representation of multivariate binary data

Banfield, C. F. and Gower, J. C. 1980. A note on the graphical representation of multivariate binary data. Journal of the Royal Statistical Society, Series C (Applied Statistics). 29 (3), pp. 238-245. https://doi.org/10.2307/2346897

A non-technical survey of multidimensional-scaling and allied techniques

Gower, J. C. 1980. A non-technical survey of multidimensional-scaling and allied techniques. Journal of the Science of Food and Agriculture. 31 (6), pp. 620-621.

Citation classic - some distance properties of latent root and vector methods used in multivariate-analysis

Gower, J. C. 1980. Citation classic - some distance properties of latent root and vector methods used in multivariate-analysis. Current Contents/Agriculture Biology & Environmental Sciences. (12), pp. 14-14.

Some properties and applications of simple orthogonal matrices

Constatine, A .G. and Gower, J. C. 1978. Some properties and applications of simple orthogonal matrices. IMA Journal of Applied Mathematics. 21 (4), pp. 445-454. https://doi.org/10.1093/imamat/21.4.445

Graphical Representation of Asymmetric Matrices

Constatine, A. G. and Gower, J. C. 1978. Graphical Representation of Asymmetric Matrices . Journal of the Royal Statistical Society, Series C (Applied Statistics). 27 (3), pp. 297-304. https://doi.org/10.2307/2347165

Explicit singular value decompositions, spectral decompositions and inverses of some skew-symmetric matrices

Gower, J. C. and Laslett, G. M. 1978. Explicit singular value decompositions, spectral decompositions and inverses of some skew-symmetric matrices. Utilitas Mathematica. 13, pp. 33-48.

Symmetry and asymmetry - their representation and joint representation

Gower, J. C. 1978. Symmetry and asymmetry - their representation and joint representation. Advances In Applied Probability. 10 (3), pp. 496-496. https://doi.org/10.1017/s0001867800030974

Some remarks on proportional similarity

Gower, J. C. 1978. Some remarks on proportional similarity. Journal of General Microbiology. 107 (AUG), pp. 387-389. https://doi.org/10.1099/00221287-107-2-387

Multivariate Statistical Inference. by Narayan C. Giri

Gower, J. C. 1978. Multivariate Statistical Inference. by Narayan C. Giri. Journal of the Royal Statistical Society, Series A (Statistics in Society). 141, pp. 410-411. https://doi.org/10.2307/2344815

Methods for Statistical Data Analysis of Multivariate Observations. by R. Gnanadesikan

Gower, J. C. 1978. Methods for Statistical Data Analysis of Multivariate Observations. by R. Gnanadesikan. Journal of the Royal Statistical Society, Series A (Statistics in Society). 141, pp. 265-267. https://doi.org/10.2307/2344470

Comment on transformations to reduce dimensionality

Gower, J. C. 1978. Comment on transformations to reduce dimensionality. Taxon. 27 (4), pp. 353-355. https://doi.org/10.2307/1220373

Growth-free canonical variates and generalized inverses

Gower, J. C. 1976. Growth-free canonical variates and generalized inverses. Bulletin of the Geological Institutions of the University Uppsala, N. S.. 7, pp. 1-10.

Relating classification to identification

Gower, J. C. 1975. Relating classification to identification. 7, pp. 251-263.

Nonnegative matrices - seneta,e

Gower, J. C. 1975. Nonnegative matrices - seneta,e. Journal of the Royal Statistical Society, Series A (Statistics in Society). 138, pp. 271-272. https://doi.org/10.2307/2984670

Methods and programs of discriminant-analysis - French - Romeder, J. M.

Gower, J. C. 1975. Methods and programs of discriminant-analysis - French - Romeder, J. M. Journal of the Royal Statistical Society, Series C (Applied Statistics). 24 (1), pp. 139-140.

Maximal predictive classification of Klebsielleae and of yeasts

Barnett, J. A., Bascomb, S. and Gower, J. C. 1975. Maximal predictive classification of Klebsielleae and of yeasts. Journal of General Microbiology. 86 (JAN), pp. 93-102. https://doi.org/10.1099/00221287-86-1-93

Determinant of an orthogonal matrix

Gower, J. C. 1975. Determinant of an orthogonal matrix. Journal of the Royal Statistical Society, Series C (Applied Statistics). 24 (1), pp. 150-153.

A comparison of different criteria for selecting binary tests in diagnostic keys

Gower, J. C. and Payne, R. W. 1975. A comparison of different criteria for selecting binary tests in diagnostic keys. Biometrika. 62 (3), pp. 665-672. https://doi.org/10.2307/2335526

Biometrical interpretation - gilbert,ne

Gower, J. C. 1975. Biometrical interpretation - gilbert,ne. Journal of the Royal Statistical Society, Series C (Applied Statistics). 24 (1), pp. 139-139.

Generalized procrustes analysis

Gower, J. C. 1975. Generalized procrustes analysis. Psychometrika. 40 (1), pp. 33-51. https://doi.org/10.1007/bf02291478

Multivariate-analysis and its applications - report on Hull Conference, 1973

Gower, J. C. and Mardia, K. V. 1974. Multivariate-analysis and its applications - report on Hull Conference, 1973. Journal of the Royal Statistical Society, Series C (Applied Statistics). 23 (1), pp. 60-66. https://doi.org/10.2307/2347054

The Mediancentre Algorithm AS 78

Gower, J. C. 1974. The Mediancentre Algorithm AS 78. Journal of the Royal Statistical Society, Series C (Applied Statistics). 23 (3), pp. 466-470.

Maximal predictive classification

Gower, J. C. 1974. Maximal predictive classification. Biometrics. 30 (4), pp. 643-654. https://doi.org/10.2307/2529229

Iterative computer procedure for mixed-up values in experiments

Preece, D. A. and Gower, J. C. 1974. Iterative computer procedure for mixed-up values in experiments. Journal of the Royal Statistical Society, Series C (Applied Statistics). 23 (1), pp. 73-74. https://doi.org/10.2307/2347056

Classification problems

Gower, J. C. 1973. Classification problems. Bulletin - International Statistical Institute. 39, pp. 471-478.

Fortran techniques, with special reference to non-numerical applications - day,ac

Gower, J. C. 1973. Fortran techniques, with special reference to non-numerical applications - day,ac. Journal of the Royal Statistical Society, Series A (Statistics in Society). 136, pp. 266-267. https://doi.org/10.2307/2345122

Measures of taxonomic distance and their analysis

Gower, J. C. 1972. Measures of taxonomic distance and their analysis.

Generating successive incomplete blocks with each pair of elements in at least one block

Gower, J. C. and Preece, D. A. 1972. Generating successive incomplete blocks with each pair of elements in at least one block. Journal Of Combinatorial Theory Series A. 12 (1), pp. 81-97. https://doi.org/10.1016/0097-3165(72)90085-4

Generalized inverse matrices - boullion,tl and odell,pl

Gower, J. C. 1972. Generalized inverse matrices - boullion,tl and odell,pl. Technometrics. 14 (3), pp. 806-807. https://doi.org/10.2307/1267311

Factor analysis as a statistical method - lawley,dn and maxwell,ae

Gower, J. C. 1972. Factor analysis as a statistical method - lawley,dn and maxwell,ae. Journal of the Royal Statistical Society, Series C (Applied Statistics). 21 (3), pp. 339-340.

Statistical methods of comparing different multivariate analyses of the same data

Gower, J. C. 1971. Statistical methods of comparing different multivariate analyses of the same data. Mathematics in the archaeological and historical science. pp. 138-149.

A General Coefficient of Similarity and Some of Its Properties

Gower, J. C. 1971. A General Coefficient of Similarity and Some of Its Properties. Biometrics. 27 (4), pp. 857-871. https://doi.org/10.2307/2528823

Basis of automatic classification - french - lerman,ic

Gower, J. C. 1971. Basis of automatic classification - french - lerman,ic. Journal of the Royal Statistical Society, Series C (Applied Statistics). 20 (2), pp. 195-197.

A note on Burnaby’s character-weighted similarity coefficient

Gower, J. C. 1970. A note on Burnaby’s character-weighted similarity coefficient. Journal of the International Association for Mathematical Geology. 2 (1), pp. 39-45. https://doi.org/10.1007/BF02332079

Classification and Geology

Gower, J. C. 1970. Classification and Geology. Review of the International Statistical Institute. 38 (1), pp. 35-41. https://doi.org/10.2307/1402322

Genstat: a general statistics program

Alvey, N. G., Gower, J. C., Lauckner, F. B., Leech, P. K., Nelder, J. A., Rogers, C. E., Ross, G. J. S., Simpson, H. R., Wedderburn, R. W. M. and Wilkinson, G. N. 1970. Genstat: a general statistics program. Rothamsted Experimental Station, Harpenden.

Algorithm AS 18: Evaluation of Marginal Means

Gower, J. C. 1969. Algorithm AS 18: Evaluation of Marginal Means. Journal of the Royal Statistical Society, Series C (Applied Statistics). 18 (2), pp. 197-199. https://doi.org/10.2307/2346268

Algorithm AS 19: Analysis of Variance for a Factorial Table

Gower, J. C. 1969. Algorithm AS 19: Analysis of Variance for a Factorial Table. Journal of the Royal Statistical Society, Series C (Applied Statistics). 18 (2), pp. 199-202. https://doi.org/10.2307/2346269

A survey of numerical methods useful in taxonomy - mites

Gower, J. C. 1969. A survey of numerical methods useful in taxonomy - mites. Acarologia. 11 (3), pp. 357-375.

Algorithm AS 23: Calculation of Effects

Gower, J. C. 1969. Algorithm AS 23: Calculation of Effects. Journal of the Royal Statistical Society, Series C (Applied Statistics). 18 (3), pp. 287-290. https://doi.org/10.2307/2346592

The basis of numerical methods of classification

Gower, J. C. 1969. The basis of numerical methods of classification. Systematic Association Publication. (8), pp. 19-30.

Minimum spanning trees and single linkage cluster analysis

Gower, J. C. and Ross, G. J. S. 1969. Minimum spanning trees and single linkage cluster analysis. Journal of the Royal Statistical Society, Series C (Applied Statistics). 18 (1), pp. 54-64. https://doi.org/10.2307/2346439

Algorithm AS 1: Simulating Multidimensional Arrays in One Dimension

Gower, J. C. 1968. Algorithm AS 1: Simulating Multidimensional Arrays in One Dimension. Journal of the Royal Statistical Society, Series C (Applied Statistics). 17 (2), pp. 180-185. https://doi.org/10.2307/2985682|

Adding a point to vector diagrams in multivariate analysis

Gower, J. C. 1968. Adding a point to vector diagrams in multivariate analysis. Biometrika. 55 (3), pp. 582-585. https://doi.org/10.1093/biomet/55.3.582

A statistical programming language

Gower, J. C., Simpson, H. R. and Martin, A. H. 1967. A statistical programming language. Journal of the Royal Statistical Society, Series C (Applied Statistics). 16 (2), pp. 89-99. https://doi.org/10.2307/2985770

Multivariate Analysis and Multidimensional Geometry

Gower, J. C. 1967. Multivariate Analysis and Multidimensional Geometry. Journal of the Royal Statistical Society, Series D (The Statistician). 17 (1), pp. 13-28. https://doi.org/10.2307/2987199

A Comparison of Some Methods of Cluster Analysis

Gower, J. C. 1967. A Comparison of Some Methods of Cluster Analysis. Biometrics. 23 (4), pp. 623-637. https://doi.org/10.2307/2528417

Some distance properties of latent root and vector methods used in multivariate analysis

Gower, J. C. 1966. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika. 53 (3-4), pp. 325-338. https://doi.org/10.1093/biomet/53.3-4.325

A Q-technique for the calculation of canonical variates

Gower, J. C. 1966. A Q-technique for the calculation of canonical variates. Biometrika. 53 (3-4), pp. 588-590. https://doi.org/10.1093/biomet/53.3-4.588

A factorial fertilizer experiment on coconuts

Eden, T., Gower, J. C. and Slgado, M. L. M. 1963. A factorial fertilizer experiment on coconuts. Empire Journal of Experimental Agriculture. 60 (124), pp. 283-end.

A specialized autocode for the analysis of replicated experiments

Yates, F., Gower, J. C. and Simpson, H. R. 1963. A specialized autocode for the analysis of replicated experiments. The Computer Journal. 5 (4), pp. 313-319. https://doi.org/10.1093/comjnl/5.4.313

The handling of multiway tables on computers

Gower, J. C. 1962. The handling of multiway tables on computers. The Computer Journal. 4 (4), pp. 280-286. https://doi.org/10.1093/comjnl/4.4.280

Variance component estimation for unbalanced hierarchical classifications

Gower, J. C. 1962. Variance component estimation for unbalanced hierarchical classifications. Biometrics. 18 (4), pp. 537-542. https://doi.org/10.2307/2527900

An autocode for table manipulation

Gower, J. C. 1962. An autocode for table manipulation. Proceedings of the Symposium on Symbolic Language in Data Processing Rome. pp. 613-614.

Insecticidal activity of pyrethrum extract and its four insecticidal constituents against house flies. I. Preparation and relative toxicity of pure constituents - statistical analysis of action of mixtures of these components

Sawicki, R. M., Elliott, M., Snarey, M., Gower, J. C. and Thain, E. M. 1962. Insecticidal activity of pyrethrum extract and its four insecticidal constituents against house flies. I. Preparation and relative toxicity of pure constituents - statistical analysis of action of mixtures of these components. Journal of the Science of Food and Agriculture. 13 (3), pp. 172-&. https://doi.org/10.1002/jsfa.2740130307

Aliasing in partially confounded factorial experiments

Healy, M. J. R. and Gower, J. C. 1961. Aliasing in partially confounded factorial experiments. Biometrika. 48 (1-2), pp. 218-220. https://doi.org/10.1093/biomet/48.1-2.218

A note on some asymptotic properties of the logarithmic series distribution

Gower, J. C. 1961. A note on some asymptotic properties of the logarithmic series distribution. Biometrika. 48 (1-2), pp. 212-215. https://doi.org/10.1093/biomet/48.1-2.212

A comparison of theoretical and empirical results for some stochastic population models

Bartlett, M. S., Gower, J. C. and Leslie, P. H. 1960. A comparison of theoretical and empirical results for some stochastic population models. Biometrika. 47 (1-2), pp. 1-11. https://doi.org/10.1093/biomet/47.1-2.1

The properties of a stochastic model for the predator-prey type of interaction between two species

Leslie, P. H. and Gower, J. C. 1960. The properties of a stochastic model for the predator-prey type of interaction between two species. Biometrika. 47 (3-4), pp. 219-234. https://doi.org/10.1093/biomet/47.3-4.219

The use of a multiple-transfer method in plant virus transmission studies- some statistical points arising in the analysis of results

Gibbs, A. J. and Gower, J. C. 1960. The use of a multiple-transfer method in plant virus transmission studies- some statistical points arising in the analysis of results. Annals of Applied Biology - AAB. 48 (1), pp. 75-83. https://doi.org/10.1111/j.1744-7348.1960.tb03506.x