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Prof Wojtek Krzanowski

Publications

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2023

2022

2021

2020

  • Arciniegas-Alarcon, S., Garcia-Pena, M. and Krzanowski, W.J Imputation using the singular value decomposition: variants of existing methods, proposed and assessed, International Journal of Innovative Computing, Information and Control, pp 1681-1696, vol. 16

2018

  • Schetinin, V., Jackaite, L. and Krzanowski, W.J Bayesian averaging over Decision Tree models for trauma severity scoring, Artificial Intelligence in Medicine, pp 139-145, vol. 84
  • Schetinin, V., Jakaite, L. and Krzanowski, W.J Bayesian averaging over Decision Tree models: an application for estimating uncertainty in Trauma Severity scoring, International Journal of Medical Informatics, pp 6-14, vol. 112
  • Schetinin, V., Jakaite, L., Nyah, N., Novakovic, D. and Krzanowski, W.J Feature extraction with GMDH-type Neural Networks for EEG-based person identification, International Journal of Neural Systems, vol. 28 (6)
  • Schetinin, V., Jakaite, L., and Krzanowski, W.J. Bayesian Learning of Models for Estimating Uncertainty in Alert Systems: Application to Aircraft Collision Avoidance, Integrated Computer-Aided Engineering, pp 229-245, vol. 25

2016

  • Arciniegas-Alarcon, S., Garcia-Pena, M. and Krzanowski, W.J Missing value imputation in multi-environmental trials: reconsidering the Krzanowski method, Crop Breeding and Applied Biotechnology, pp 77-85, vol. 16
  • Garcia-Pena, M., Arcinegas-Alarcon, S., Krzanowski, W.J. and Barbin, D Multiple imputation procedures using the GabrielEigen algorithm, Communications in Biometry and Crop Science, pp 149-163, vol. 11

2015

2014

  • Arciniegas-Alarcon, S., Garcia-Pena, M., Krzanowski, W.J. and Dias, C. T. dos S An alternative methodology for imputing missing data in trials with genotype-by-environment interaction: some new aspects, Biometrical Letters, pp 75-88, vol. 51
  • Arciniegas-Alarcón, S., García-Peña, M., Krzanowski, W.J. and Dias, C.T. dos S Imputing missing values in multi-environment trials using the singular value decomposition: An empirical comparison, Communications in Biometry and Crop Science, pp 54-70, vol. 9(2)

2013

  • Arciniegas-Alarcon, S., Garcia-Pena, M., Krzanowski, W.J. and Dias, C.T. dos S Deterministic imputation in multienvironment trials, ISRN Agronomy, pp 17, vol. 2013
  • Schetinin, V., Jakaite, L. and Krzanowski, W.J Prediction of survival probabilities with Bayes decision trees, Expert Systems with Applications, pp 5466-5476, vol. 40
  • Schetinin, V., Jakaite, L., Jakaitis, J. and Krzanowski, W.J Bayesian decision trees for predicting survival of patients: a study on the US national trauma data bank, Computer Methods and Programs in Biomedicine, pp 602-612, vol. 111
  • Trendafilov, N.T., Unkel, S. and Krzanowski, W.J Exploratory factor and principal component analyses: some new aspects, Statistics and Computing, pp 209-220, vol. 23

2012

  • Bailey, T.C. and Krzanowski, W.J An overview of approaches to the analysis and modelling of multivariate geostatistical data, Mathematical Geosciences, pp 381-393, vol. 44
  • Kozak, M. and Krzanowski, W.J On using the h-index to analyse species biodiversity and other count data, Current Science, pp 9, vol. 103
  • Kozak, M., Krzanowski, W.J. and Tartanus, M Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them, Anais da Academia Brasileira de Ciencias, pp 1147-1156, vol. 84

2011

2010

  • Arciniegas-Alarcon, S., Garcia-Pena, M., Dias, C.T. dos S. and Krzanowski, W.J. An alternative methodology for imputing missing data in trials with genotype-by-environment interaction, Biometrical Letters, pp 1-14, vol. 47
  • Kozak, M. and Krzanowski, W.J Effective presentation of data, European Science Editing, pp 41-42, vol. 36
  • Kozak, M., Wnuk, A. and Krzanowski, W.J A simple R function for inspecting multivariate data, Communications in Biometry and Crop Science, pp 34-40, vol. 5

2009

  • Bailey, T.C. and Krzanowski, W.J Structuring Complex Correlations: An Overview of Multivariate Spatial Approaches, Proceedings of the 57th sesssion of the International Statistical Institute, Durban, South Africa
  • Krzanowski, W.J. and Hand, D.J A simple method for screening variables before clustering microarray data, Computational Statistics and Data Analysis, pp 2747-2753, vol. 53
  • Krzanowski, W.J. and Hand, D.J ROC Curves for Continuous Data, Chapman and Hall/CRC
  • Mahat, N.I., Krzanowski, W.J. and Hernandez, A Strategies for non-parametric smoothing of the location model in mixed-variable discriminant analysis, Modern Applied Science, pp 151-163, vol. 3

2008

  • Bergamo, G.C., Dias, C.T. dos S. and Krzanowski, W.J. Distribution-free multiple imputation in an interaction matrix, using the singular value decomposition, Scientia Agricola, pp 422-427, vol. 65
  • Kim, S-S., Park, S.H. and Krzanowski, W.J Simultaneous variable selection and outlier identification in linear regression using the mean-shift outlier model, Journal of Applied Statistics, pp 283-291, vol. 35

2007

  • Krzanowski, W.J. and Bailey, T.C. Extraction of spatial features using factor methods, illustrated on stream sediment data, Mathematical Geology, pp 69-85, vol. 39 (1)
  • Schetinin, V., Fieldsend, J.E., Partridge, D., Coats, T.J., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications, IEEE Transactions on Information Technology in Biomedicine, pp 312-319, vol. 11
  • Bailey, T.C., Everson, R.M., Fieldsend, J.E., Krzanowski, W.J., Partridge, D., Schetinin, V Representing classifier confidence in the safety critical domain --- an illustration from mortality prediction in trauma cases, Neural Computing and Applications, pp 1-10, vol. 16
  • Crowder, M.J., Hand, D.J. and Krzanowski, W.J On optimal intervention for customer lifetime value, European Journal of Operational Research, pp 1550-1559, vol. 183
  • Hand, D.J., Krzanowski, W.J. and Crowder, M.J Optimal predictive partitioning, Statistics and Computing, pp 11-21, vol. 17
  • Kim, S.S. and Krzanowski, W.J Detecting multiple outliers in linear regression using a cluster method combined with graphical visualisation, Computational Statistics, pp 109-119, vol. 22
  • Krzanowski, W.J Statistical Principles and Techniques in Scientific and Social Research, Oxford University Press, pp 241 + xiv
  • Krzanowski, W.J. and Hand, D.J A recursive partitioning tool for interval prediction, Advances in Data Analysis and Classification, pp 241-254, vol. 1
  • Mahat, N.I., Krzanowski, W.J. and Hernandez, A. Variable selection in discriminant analysis based on the location model for mixed variables, Advances in Data Analysis and Classification, pp 105-122, vol. 1
  • Schetinin, V., Fieldsend, J.E., Partridge, D., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A Estimating Classification Uncertainty of Bayesian Decision Tree Techniques on Financial Data, Batyrshin, I., Kacprzyk, J., Sheremetov, L., Zadeh, L.A. (Eds), Perception-based Data Mining and Decision Making in Economics and Finance. Series: Studies in Computational Intelligence, pp 155-179, vol. 36
  • Schetinin, V., Fieldsend, J.E., Partridge, D., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique, Journal of Mathematical Modelling and Algorithms, pp 397-416, vol. 5 (4)
  • Schetinin, V., Krzanowski, W.J. and Maple, C The Bayesian decision tree technique using an adaptive sampling scheme, Twentieth IEEE International Symposium on Computer-based Medical Systems (CBMS 07), pp 121-126

2006

  • Krzanowski, W.J., Fieldsend, J.E., Bailey, T.C., Everson, R.M., Partridge, D., Schetinin, V Confidence in classification: a Bayesian approach, Journal of Classification, pp 199-220, vol. 23
  • Dias, C.T. dos S. and Krzanowski, W.J Choosing components in the additive main effect and multiplicative interaction (AMMI) models, Scientia Agricola, pp 169-175, vol. 63
  • Everson, R., Fieldsend, J., Bailey, T., Krzanowski, W., Partridge, D., Hernandez, A., Schetinin, V Optimising Data-Driven Safety Related Systems, Developments in Risk-based Approaches to Safety, Proceedings of the Fourteenth Safety-critical Systems Symposium, Bristol, UK, pp 217-230
  • Krzanowski, W.J Sensitivity in metric scaling and analysis of distance, Biometrics, pp 239-244, vol. 62
  • Partridge, D., Bailey, T., Everson, R., Fieldsend, J., Hernandez, A., Krzanowski, W., Schetinin, V Classification with Confidence for Critical Systems, Developments in Risk-based Approaches to Safety, Proceedings of the Fourteenth Safety-critical Systems Symposium, Bristol, UK, pp 231-240
  • Partridge, D., Fieldsend, J.E., Krzanowski, W., Bailey, T.C., Everson, R.M., Schetinin, V Computing with confidence: a Bayesian approach, Proceedings of Internet, Processing, Systems, and Interdisciplinary (Research) Conference (IPSI-2006), April 27-30th, Carcassonne, France
  • Partridge, D., Schetinin, V., Li, D., Coats, T.J., Fieldsend, J.E., Krzanowski, W.J., Everson, R.M., Bailey, T.C Interpretability of Bayesian Decision Trees Induced from Trauma Data, L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, J. Zurada (Eds), Lecture Notes in Artificial Intelligence, LNAI 4029. Springer, pp 972-981
  • Schetinin, V., Fieldsend, J.E., Partridge, D., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems, Xuan F Zha and R.J. Howlett (Eds), "Integrated Intelligent Systems for Engineering Design", IOS Press, pp 82-96, vol. 149

2005

  • Turner, H., Bailey, T.C. and Krzanowski, W.J Improved biclustering of microarray data demonstrated through systematic performance tests, Computational Statistics and Data Analysis, pp 235-254, vol. 48 (2)
  • Bailey, T.C., Barcellos, C. and Krzanowski, W.J Use of spatial factors in the analysis of heavy metals in sediments in a Brazillian coastal region, Environmetrics, pp 563-572, vol. 16 (6)
  • Hand, D.J. and Krzanowski, W.J Optimising k-means clustering results with standard software packages, Computational Statistics and Data Analysis, pp 969-973, vol. 49
  • Turner, H., Bailey, T.C., Krzanowski, W.J. and Hemingway, C Biclustering models for structured microarray data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp 316-329, vol. 2 (4)

2004

  • Badcock, J., Bailey, T.C., Krzanowski, W.J. and Jonathan, P Two projection methods for use in the analysis of multivariate process data, with an illustration in petrochemical production, Technometrics, pp 392-403, vol. 46
  • Ahmed, S.E. and Krzanowski, W.J Biased estimation in a simple multivariate regression model, Computational Statistics and Data Analysis, pp 689-696, vol. 45
  • Andrade, J.M., Gomez-Carracedo, M., Krzanowski, W.J. and Kubista, M Procrustes rotation in analytical chemistry: a tutorial, Chemometrics & Intelligent Laboratory Systems, pp 123-132, vol. 72
  • Krzanowski, W.J Biplots for multifactorial analysis of distance, Biometrics, pp 517-524, vol. 60
  • Schetinin, V., Fieldsend, J.E., Partridge, D., Krzanowski, W.J., Everson, R.M., Bailey, T.C., Hernandez, A The Bayesian Decision Tree Technique with a Sweeping Strategy, AISTA 2004, 2004 International Conference on Advances in Intelligent Systems - Theory and Applications In cooperation with the IEEE Computer Society, November 15-18, 2004, Centre de Recherche Public Henri Tudor, Luxembourg-Kirchberg, Luxembourg
  • Schetinin, V., Partridge, D., Krzanowski, W.J., Everson, R.M., Fieldsend, J.E., Bailey, T.C., Hernandez, A Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles, Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), Lecture Notes in Computer Science (LNCS 3177), Z.R. Yang, R. Everson and H. Yin (Eds.), Exeter, August 25-27, Springer, pp 726-732

2003

  • Bolton, R.J. and Krzanowski, W.J. Projection pursuit clustering for exploratory data analysis, Journal of Computational and Graphical Statistics, pp 121-142, vol. 12
  • Dias, C.T. dos S. and Krzanowski, W.J Model selection and cross-validation in additive main effect and multiplicative interaction (AMMI) models, Crop Science, pp 865-873, vol. 43
  • Fieldsend, J.E., Bailey, T.C., Everson, R.M., Krzanowski, W.J., Partridge, D., Schetinin, V Bayesian inductively learned modules for safety critical systems, Proceedings of the 35th Symposium on the Interface: Computing Science and Statistics. March 12-15, Salt Lake City, pp 110-125 [Data]
  • Krzanowski, W.J Orthogonal components for grouped data: review and applications, Statistics in Transition, pp 759-777, vol. 5
  • Krzanowski, W.J Nonparametric estimation of distances between groups, Journal of Applied Statistics, pp 743-750, vol. 30

2002

  • Collins, G.S. and Krzanowski, W.J. Nonparametric discriminant analysis of phytoplankton species using data from analytical flow cytometry, Cytometry, pp 26-33, vol. 48
  • Krzanowski, W.J Multifactorial analysis of distance in studies of ecological community structure, Journal of Agricultural, Biological and Environmental Statistics, pp 222-232, vol. 7

2001

  • Asparoukhov, O. and Krzanowski, W.J A comparison of discriminant procedures for binary variables, Computational Statistics and Data Analysis, pp 139-60, vol. 38 (2)
  • Badcock, J., Bailey, T.C. and Krzanowski, W.J. Modelling of multivariate process control data, In: New Trends in Statistical Modelling: Proceedings of the 16th International Workshop on Statistical Modelling, B. Klein & L.Korsholm (eds), University of Southern Denmark, pp 409-412
  • Krzanowski, W.J Data-based interval estimation of classification error rates, Journal of Applied Statistics, pp 585-95, vol. 28 (5)

2000

  • Asparoukhov, O. and Krzanowski, W.J Non-parametric smoothing of the location model in mixed variable discrimination, Statistics and Computing, pp 285-293, vol. 10
  • Bailey. T.C. and Krzanowski, W.J Extensions to Spatial Factor Methods with an Illustration in Geochemistry, Mathematical Geology, pp 657-682, vol. 32 (6)
  • Jonathan, P., Krzanowski, W.J. and McCarthy, W.V On the use of cross-validation to assess performance in multivariate prediction, Statistics and Computing, pp 209-229, vol. 10
  • Kiers, H.A.L. and Krzanowski, W.J Projections distinguishing isolated groups in multivariate data spaces, In: Data analysis: Scientific modeling and practical application (W. Gaul, O. Opitz, & M. Schader, eds.), Heidelberg: Springer, pp 207-218
  • Krzanowski, W.J Principles of Multivariate Analysis: a User's Perspective (Revised Edition), Oxford University Press, pp 586 + xxi

1999

  • Bolton, R.J. and Krzanowski, W.J A characterization of principal components for projection pursuit, The American Statistician, pp 108-109, vol. 53
  • Gower, J.C. and Krzanowski, W.J Analysis of distance for structured multivariate data and extensions to MANOVA, Applied Statistics, pp 505-519, vol. 48
  • Krzanowski, W.J Antedependence models in the analysis of multigroup high-dimensional data, Journal of Applied Statistics, pp 59-67, vol. 26

1998

  • Bailey, T.C., Sapatinas, T., Powell, K.J. and Krzanowski, W.J Signal detection in underwater sound using wavelets, Journal of the American Statistical Association, pp 73-83, vol. 93
  • Krzanowski, W.J Subspace projection for multivariate selection problems, Journal of Classification, pp 81-92, vol. 15
  • Krzanowski, W.J An Introduction to Statistical Modelling, Edward Arnold, pp 252 + x

1997

  • Bailey, T.C., Sapatinas, T., Powell, K., and Krzanowski, W.J Use of wavelets in the detection of underwater sound signals, Computing Science and Statistics , (L. Billard and N. I. Fisher, eds.), 28, Interface Foundation of North America, Inc., Fairfax Station, VA 22039-7460, pp 665-670, vol. 28
  • Krzanowski, W.J Recent trends and developments in computational multivariate analysis, Statistics and Computing, pp 87-99, vol. 7
  • Krzanowski, W.J. and Hand, D.J Assessing error-rate estimators: the leave-one-out method reconsidered, Australian Journal of Statistics, pp 35-46, vol. 39
  • Partridge, D. and Krzanowski, W.J Software diversity: practical statistics for its measurement and exploitation, Information and Software Technology, pp 707-717, vol. 39

1996

  • Krzanowski, W.J Rao's distance between normal populations that have common principal components, Biometrics, pp 1467-1471, vol. 52
  • Krzanowski, W.J A stopping rule for structure-preserving variable selection, Statistics and Computing, pp 51-56, vol. 6
  • Lawrence, C.J. and Krzanowski, W.J Mixture separation for mixed-mode data, Statistics and Computing, pp 85-92, vol. 6

1995

  • Krzanowski, W.J Orthogonal canonical variates for discrimination and classification, Journal of Chemometrics, pp 509-520, vol. 9
  • Krzanowski, W.J Selection of variables, and assessment of their performance, in mixed-variable discriminant analysis, Computational Statistics and Data Analysis, pp 419-431, vol. 19
  • Krzanowski, W.J. and Kline, P Cross-validation for choosing the important number of components in principal component analysis, Multivariate Behavioral Research, pp 149-165, vol. 30
  • Krzanowski, W.J. and Marriott, F.H.C Multivariate Analysis. Part 2: Classification, Covariance Structures and Repeated Measurements, pp 280 + viii
  • Krzanowski, W.J., Jonathan, P., McCarthy, W.V. and Thomas, M.R Discriminant analysis with singular covariance matrices: methods and applications to spectroscopic data, Applied Statistics, pp 101-115, vol. 44
  • Powell K., Sapatinas T., Bailey T.C., Krzanowski W. J Application of wavelets to the pre-processing of underwater sounds, Statistics and Computing, pp 265-273, vol. 5

1994

  • Krzanowski, W.J Quadratic location discriminant functions for mixed categorical and continuous variables, Statistics and Probability Letters, pp 91-95, vol. 19
  • Krzanowski, W.J Ordination in the presence of group structure, for general multivariate data, Journal of Classification, pp 195-207, vol. 11
  • Krzanowski, W.J. and Marriott, F.H.C Multivariate Analysis. Part1: Distributions, Ordination and Inference, Edward Arnold, pp 280 + ix

1993

  • Krzanowski, W.J Permutational tests for correlation matrices, Statistics and Computing, pp 37-44, vol. 3
  • Krzanowski, W.J The location model for mixtures of categorical and continuous variables, Journal of Classification, pp 25-49, vol. 10
  • Krzanowski, W.J Attribute selection in correspondence analysis of incidence matrices, Applied Statistics, pp 529-541, vol. 42
  • Krzanowski, W.J Antedependence modelling in discriminant analysis of high-dimensional spectrometric data, Multivariate Analysis, Future Directions 2: C.M. Cuadras and C.R. Rao (Eds), Elsevier Press, pp 87-95

1992

  • Krzanowski, W.J Ranking principal components to reflect group structure, Journal of Chemometrics, pp 97-102, vol. 6

1991

  • Krzanowski, W.J Looking at multivariate data, Operational Research Tutorial Papers 1991, A.G. Munford and T.C. Bailey (Eds), Birmingham: O.R. Society, pp 53-67
  • Ringrose, T.J. and Krzanowski, W.J A simulation study of confidence regions for canonical variate analysis, Statistics and Computing, pp 41-46, vol. 1

1990

  • Ganeshanandam, S. and Krzanowski, W.J Error-rate estimation in two-group discriminant analysis using the linear discriminant function, Journal of Statistical Computation and Simulation, pp 157-175, vol. 36
  • Kosmelj, K. and Krzanowski, W.J Success of configuration recovery of three multidimensional scaling methods, COMPSTAT90, Short Communications, pp 85-86
  • Krzanowski, W.J Between-group analysis with heterogeneous covariance matrices: the common principal component model, Journal of Classification, pp 81-98, vol. 7

1989

  • Ganeshanandam, S. and Krzanowski, W.J On selecting variables and assessing their performance in linear discriminant analysis, Australian Journal of Statistics, pp 433-447, vol. 31
  • Krzanowski, W.J On confidence regions in canonical variate analysis, Biometrika, pp 107-116, vol. 76
  • Krzanowski, W.J. and Radley, D Non-parametric confidence and tolerance regions in canonical variate analysis, Biometrics, pp 1163-1173, vol. 45

1988

  • Gains, N., Krzanowski, W.J. and Thomas D.M.H A comparison of variable reduction techniques in an attitudinal investigation of meat products, Journal of Sensory Studies, pp 37-48, vol. 3
  • Krzanowski, W.J Missing value imputation using the singular value decomposition of a matrix, Biometrical Letters, pp 31-39, vol. 25
  • Krzanowski, W.J Principles of Multivariate Analysis: a User's Perspective, Oxford University Press, pp 563 + xix
  • Krzanowski, W.J. and Lai, Y.T A criterion for determining the number of groups in a data set using sum-of-squares clustering, Biometrics, pp 23-34, vol. 44

1987

  • Krzanowski, W.J Cross-validation in principal component analysis, Biometrics, pp 575-584, vol. 43
  • Krzanowski, W.J Selection of variables to preserve data structure, using principal component analysis, Applied Statistics, pp 22-33, vol. 35
  • Krzanowski, W.J A comparison between two distance-based discriminant principles, Journal of Classification, pp 73-84, vol. 4

1986

  • Grime, J.P., Hunt, R. and Krzanowski, W.J Evolutionary physiological ecology of plants, Evolutionary Physiological Ecology: P. Calow (Ed), Cambridge: University Press, pp 105-126
  • Krzanowski, W.J Multiple discriminant analysis in the presence of mixed continuous and categorical data, Computers and Mathematics with Applications, pp 179-185, vol. 12(A)

1985

  • Krzanowski, W.J., Mead, R. and Thorne, S On the use of average marks in degree examinations, Applied Statistics, pp 219-226, vol. 34
  • Mitchell, A.F.S and Krzanowski, W.J The Mahalanobis distance and elliptic distributions, Biometrika, pp 464-467, vol. 72

1984

  • Krzanowski, W.J Sensitivity of principal components, Journal of the Royal Statistical Society, Series B, pp 558-563, vol. 46
  • Krzanowski, W.J On the null distribution of distance between two groups, using mixed continuous and categorical variables, Journal of Classification, pp 243-253, vol. 1
  • Krzanowski, W.J Principal component analysis in the presence of group structure, Applied Statistics, pp 164-168, vol. 33
  • Krzanowski, W.J. and Woods, A.J Statistical aspects of reliability in language testing, Language Testing, pp 1-20, vol. 1

1983

  • Chauhan, J., Harper, R. and Krzanowski, W.J Comparison between direct similarity assessments and descriptive profiles of certain soft drinks, Sensory Quality in Foods and Beverages; its Definition, Measurement and Control: A.A. Williams and R.K. Aitkin (Eds), Chichester: Ellis Horwood, pp 297-309
  • Krzanowski, W.J Cross-validatory choice in principal component analysis: some sampling results, Journal of Statistical Computation and Simulation, pp 299-314, vol. 18
  • Krzanowski, W.J Stepwise location model choice in mixed-variable discrimination, Applied Statistics, pp 260-266, vol. 32
  • Krzanowski, W.J Distance between populations using mixed continuous and categorical variables, Biometrika, pp 235-243, vol. 70

1982

  • Eastment, H.T. and Krzanowski, W.J Cross-validatory choice of the number of components from a principal component analysis, Technometrics, pp 73-77, vol. 24
  • Krzanowski, W.J Mixtures of continuous and categorical variables in discriminant analysis: a hypothesis-testing approach, Biometrics, pp 991-1002, vol. 38
  • Krzanowski, W.J Between-groups comparison of principal components - some sampling results, Journal of Statistical Computation and Simulation, pp 141-154, vol. 15

1980

  • Krzanowski, W.J Mixtures of continuous and categorical variables in discriminant analysis, Biometrics, pp 493-499, vol. 36

1979

  • Krzanowski, W.J Between-groups comparison of principal components, Journal of the American Statistical Association, pp 703-707, vol. 74
  • Krzanowski, W.J Some exact percentage points of a statistic useful in analysis of variance and principal component analysis, Technometrics, pp 261-263, vol. 21
  • Krzanowski, W.J Some linear transformations for mixtures of binary and continuous variables, with particular reference to linear discriminant analysis, Biometrika, pp 33-39, vol. 66

1977

  • Krzanowski, W.J The performance of Fisher's linear discriminant function under non-optimal conditions, Technometrics, pp 191-200, vol. 19

1976

  • Krzanowski, W.J Canonical representation of the location model for discrimination or classification, Journal of the American Statistical Association, pp 845-848, vol. 71

1975

  • Krzanowski, W.J Discrimination and classification using both binary and continuous variables, Journal of the American Statistical Association, pp 782-790, vol. 70

1974

  • Brothwell, D.R. and Krzanowski, W.J Evidence of biological differences between early British populations from Neolithic to Medieval times, as revealed by eleven commonly available cranial vault measurements, Journal of Archaeological Science, pp 249-260, vol. 1

1973

  • Nicholson, A.N., Hill, L.E., Borland, R.G. and Krzanowski, W.J Influence of workload on the neurological state of a pilot during the approach and landing, Aerospace Medicine, pp 146-152, vol. 44

1972

  • Krzanowski, W.J Techniques in multivariate analysis, The Way Ahead in Plant Breeding: F.G.H. Lupton, G.Jenkins and R. Johnson (Eds), Cambridge: Plant Breeding Institute, pp 147-155
  • Krzanowski, W.J. and Newman, A.C.D Computer simulation of cation distribution in the octahedral layers of micas, Mineralogical Magazine, pp 926-932, vol. 38
  • Krzanowski, W.J. and Nicholson, A.N Analysis of pilot assessment of workload, Aerospace Medicine, pp 993-997, vol. 43

1971

  • Krzanowski, W.J A comparison of some distance measures applicable to multinomial data, using a rotational fit technique, Biometrics, pp 1062-1068, vol. 27
  • Krzanowski, W.J The algebraic basis of classical multivariate methods, The Statistician, pp 51-61, vol. 20

1970

  • Corbet, G.B., Cummins, J., Hedges, S.R. and Krzanowski, W.J The taxonomic status of British water voles, genus Arvicola, Journal of Zoology, pp 301-316, vol. 161
  • Krzanowski, W.J Transposing multiway structures; Algorithm AS28, Applied Statistics, pp 115-118, vol. 19

Showing 153 publications from UDB2.