W. Krzanowski

发表

The Mahalanobis distance and elliptic distributions

A. F. Mitchell, W. Krzanowski, 1985 .

A comparison between two distance-based discriminant principles

W. Krzanowski, 1987 .

Cross-Validatory Choice of the Number of Components From a Principal Component Analysis

W. Krzanowski, H. T. Eastment, 1982 .

Multivariate Analysis: Methods and Applications

M. Goldstein, W. R. Dillon, W. Krzanowski, 1984 .

Selection of Variables to Preserve Multivariate Data Structure, Using Principal Components

W. Krzanowski, 1987 .

Some Exact Percentage Points of a Statistic Useful in Analysis of Variance and Principal Component Analysis

W. Krzanowski, 1979 .

Discriminant Analysis with Singular Covariance Matrices: Methods and Applications to Spectroscopic Data

W. V. McCarthy, W. Krzanowski, P. Jonathan, 1995 .

A Characterization of Principal Components for Projection Pursuit

W. Krzanowski, R. J. Bolton, 1999 .

Distance between populations using mixed continuous and categorical variables

W. Krzanowski, 1983 .

The Performance of Fisher's Linear Discriminant Function Under Non-Optimal Conditions

W. Krzanowski, 1977 .

A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering

W. Krzanowski, Y. T. Lai, 1988 .

Principles of multivariate analysis : a user's perspective. oxford

Wojtek J. Krzanowski, W. Krzanowski, 1988 .

Between-Groups Comparison of Principal Components

W. Krzanowski, 1979 .

Data-based interval estimation of classification error rates

W. Krzanowski, 2001 .

The Bayesian Decision Tree Technique with a Sweeping Strategy pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, ArXiv.

A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, Integrated Intelligent Systems for Engineering Design.

Sensitivity in Metric Scaling and Analysis of Distance

W J Krzanowski, W. Krzanowski, 2006, Biometrics.

On Evidence Weighted Mixture Classification

W. Krzanowski, R. Everson, T. Bailey, 2005 .

Cross-Validation for Choosing the Number of Important Components in Principal Component Analysis.

W J Krzanowski, W. Krzanowski, P. Kline, 1995, Multivariate behavioral research.

Biplots for Multifactorial Analysis of Distance

W J Krzanowski, W. Krzanowski, 2004, Biometrics.

Analysis of distance for structured multivariate data and extensions to multivariate analysis of variance

John C. Gower, Wojtek J. Krzanowski, J. Gower, 1999 .

Short communication: Optimising k-means clustering results with standard software packages

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2005 .

An Overview of Approaches to the Analysis and Modelling of Multivariate Geostatistical Data

Wojtek J. Krzanowski, Trevor C. Bailey, W. Krzanowski, 2012, Mathematical Geosciences.

Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region

W. Krzanowski, T. Bailey, Christovam Barcellos, 2005 .

Kendall's Library of Statistics, Multivariate Analysis Part 1: Distributions, Ordination and Inference.

F. H. C. Marriott, Wojtek J. Krzanowski, W. Krzanowski, 1996 .

Selection of variables, and assessment of their performance, in mixed-variable discriminant analysis

Wojtek J. Krzanowski, W. Krzanowski, 1995 .

MCS diversity and classifier confidence : A Bayesian approach

W. Krzanowski, R. Everson, D. Partridge, 2003 .

Between-group analysis with heterogeneous covariance matrices: The common principal component model

Wojtek J. Krzanowski, W. Krzanowski, 1990 .

Model Selection and Cross Validation in Additive Main Effect and Multiplicative Interaction Models

Wojtek J. Krzanowski, W. Krzanowski, C. Dias, 2003 .

Structuring Complex Correlations: An Overview of Multivariate Spatial Approaches

W. Krzanowski, T. Bailey, 2008 .

Imputing missing values in multi-environment trials using the singular value decomposition: An empirical comparison

W. Krzanowski, C. Dias, Sergio Arciniegas-Alarcón, 2014 .

Quadratic location discriminant functions for mixed categorical and continuous data

W. J. Krzanowski, W. Krzanowski, 1994 .

An alternative methodology for imputing missing data in trials with genotype-by-environment interaction: some new aspects

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2012 .

Further inference on single curves

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

Multiple Imputation Procedures Using the Gabrieleigen Algorithm

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2016 .

Multifactorial analysis of distance in studies of ecological community structure

W. Krzanowski, 2002 .

Missing value imputation in multi-environment trials: Reconsidering the Krzanowski method

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2016 .

Choosing components in the additive main effect and multiplicative interaction (AMMI) models

W. Krzanowski, C. Dias, 2006 .

Optimising k

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2005, Comput. Stat. Data Anal..

Design and interpretation issues

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

Cross-Validation for Lower Rank Matrices Containing Outliers

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2022, Applied System Innovation.

Independence of a Set of Variables, Tests of

W. Krzanowski, 2005 .

Discrimination and Classification Using Both Binary and Continuous Variables

Wojtek J. Krzanowski, W. Krzanowski, 1975 .

Exploratory factor and principal component analyses: some new aspects

N. Trendafilov, W. Krzanowski, Steffen Unkel, 2011, Statistics and Computing.

Bayesian analysis of aircraft short-term conflict alert system

Vitaly Schetinin, Wojtek J. Krzanowski, Livija Jakaite, 2016 .

Deterministic Imputation in Multienvironment Trials

W. Krzanowski, C. Dias, Sergio Arciniegas-Alarcón, 2013 .

Procrustes rotation in analytical chemistry, a tutorial

José Manuel Andrade, M. P. Gómez-Carracedo, Wojtek J. Krzanowski, 2004 .

Data analysis. Scientific Modeling and Practical Application

Wojtek J. Krzanowski, Henk A. L. Kiers, W. Krzanowski, 2000 .

Use of wavelets in the detection of underwater sound signals

Theofanis Sapatinas, Wojtek J. Krzanowski, Trevor C. Bailey, 1997 .

Research Note Reporting numbers in agriculture and biology: Don't overdo the digits

Marcin Kozak, Ricardo Antunes Azevedo, Wojtek J. Krzanowski, 2011 .

Efficient cross-validation of principal components

Wojtek J. Krzanowski, W. Krzanowski, 1996, Statistics and computing.

Exploratory factor and principal component analyses: some new aspects

Nickolay T. Trendafilov, Wojtek J. Krzanowski, Steffen Unkel, 2013, Stat. Comput..

Prediction of survival probabilities with Bayesian Decision Trees

Vitaly Schetinin, Wojtek J. Krzanowski, Livia Jakaite, 2013, Expert Syst. Appl..

Sensitivity of Principal Components

Wojtek J. Krzanowski, W. Krzanowski, 1984 .

Further inference on single curves

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

Computer simulation of cation distribution in the octahedral layers of micas

W. Krzanowski, A. Newman, 1972, Mineralogical Magazine.

Signal Detection in Underwater Sound using Wavelets

Theofanis Sapatinas, Wojtek J. Krzanowski, Trevor C. Bailey, 1998 .

Evidence of biological differences between early British populations from neolithic to medieval times, as revealed by eleven commonly available cranial vault measurements

W. Krzanowski, D. Brothwell, 1974 .

Principles of Multivariate Analysis

Brian Everitt, Wojtek J. Krzanowski, B. Everitt, 2001 .

A stopping rule for structure-preserving variable selection

Wojtek J. Krzanowski, W. Krzanowski, 1996, Stat. Comput..

Cross-Validation in Principal Component Analysis

Wojtek J. Krzanowski, W. Krzanowski, 1987 .

Cross-validatory choice in principal component analysis; some sampling results

Wojtek J. Krzanowski, W. Krzanowski, 1983 .

Optimal predictive partitioning

David J. Hand, Wojtek J. Krzanowski, Martin Crowder, 2007, Stat. Comput..

Projection Pursuit Clustering for Exploratory Data Analysis

Wojtek J. Krzanowski, W. Krzanowski, R. J. Bolton, 2003 .

A comparison of discriminant procedures for binary variables

Wojtek J. Krzanowski, W. Krzanowski, O. Asparoukhov, 2002 .

Linear algebra and multivariate analysis in statistics: development and interconnections in the twentieth century

N. Bingham, W. Krzanowski, 2022, British Journal for the History of Mathematics.

Biocenotic changes in the Goczalkowice Reservoid caused by the impact of grass carp (Ctenopharyngodon idella Val.) on macrophyte

W. Krzanowski, H. Kasza, E. Krzyżanek, 1987 .

On the use of cross-validation to assess performance in multivariate prediction

Philip Jonathan, Wojtek J. Krzanowski, W. V. McCarthy, 2000, Stat. Comput..

Confidence in Classification: A Bayesian Approach

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, J. Classif..

Variable selection in discriminant analysis based on the location model for mixed variables

Wojtek J. Krzanowski, Adolfo Hernandez, Nor Idayu Mahat, 2007, Adv. Data Anal. Classif..

Non-parametric smoothing of the location model in mixed variable discrimination

Wojtek J. Krzanowski, O. Asparoukhov, W. Krzanowski, 2000, Stat. Comput..

Mixture separation for mixed-mode data

Wojtek J. Krzanowski, C. J. Lawrence, W. Krzanowski, 1996, Stat. Comput..

The location model for mixtures of categorical and continuous variables

Wojtek J. Krzanowski, W. Krzanowski, 1993 .

MULTIPLE DISCRIMINANT ANALYSIS IN THE PRESENCE OF MIXED CONTINUOUS AND CATEGORICAL DATA

Wojtek J. Krzanowski, W. Krzanowski, 1986 .

On the null distribution of distance between two groups, using mixed continuous and categorical variables

W. Krzanowski, 1984 .

Mixtures of Continuous and Categorical Variables in Discriminant Analysis: A Hypothesis-Testing Approach

Wojtek J. Krzanowski, W. Krzanowski, 1982 .

Some linear transformations for mixtures of binary and continuous variables, with particular reference to linear discriminant analysis

W. Krzanowski, 1979 .

Ranking principal components to reflect group structure

Wojtek J. Krzanowski, W. Krzanowski, 1992 .

Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them

W. Krzanowski, M. Kozak, M. Tartanus, 2012 .

Multivariate Multiple Regression

W. Krzanowski, 2005 .

On confidence regions in canonical variate analysis

Wojtek J. Krzanowski, W. Krzanowski, 1989 .

Recent trends and developments in computational multivariate analysis

Wojtek J. Krzanowski, W. Krzanowski, 1997, Stat. Comput..

ROC Curves for Continuous Data

David J. Hand, Wojtek J. Krzanowski, D. Hand, 2009 .

Succession of communities in the Goczałkowice Dam Reservoir in the period 1955-1982.

W. Krzanowski, E. Krzyżanek, T. Kuflikowski, 1986, Archiv für Hydrobiologie.

Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2007, IEEE Transactions on Information Technology in Biomedicine.

The effects of data input errors on subsequent statistical inference

Marcin Kozak, Wojtek J. Krzanowski, James Hartley, 2015 .

A User's Guide to Principal Components

W. J. Krzanowski, W. Krzanowski, 1992 .

Improved biclustering of microarray data demonstrated through systematic performance tests

Wojtek J. Krzanowski, Trevor C. Bailey, Heather L. Turner, 2005, Comput. Stat. Data Anal..

Simultaneous variable selection and outlier identification in linear regression using the mean-shift outlier model

W. Krzanowski, Sung H. Park, Sung-Soo Kim, 2008 .

Covariance Matrices: Testing Equality of

W. Krzanowski, 2005 .

Covariance Matrices: Testing Equality of

W. Krzanowski, 2005 .

Error-rate estimation in two-group discriminant analysis using the linear discriminant function

Wojtek J. Krzanowski, W. Krzanowski, S. Ganeshanandam, 1990 .

Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification

Vitaly Schetinin, Wojtek J. Krzanowski, Livia Jakaite, 2017, Int. J. Neural Syst..

Detecting multiple outliers in linear regression using a cluster method combined with graphical visualization

Sung-Soo Kim, Wojtek J. Krzanowski, W. Krzanowski, 2007, Comput. Stat..

Principal Component Analysis in the Presence of Group Structure

Wojtek J. Krzanowski, W. Krzanowski, 1984 .

Strategies for Non-Parametric Smoothing of the Location Model in Mixed-Variable Discriminant Analysis

Wojtek J. Krzanowski, Adolfo Hernández, Nor Idayu Mahat, 2008 .

Multivariate Techniques, Robustness

W. Krzanowski, 2005 .

Distributions, ordination and inference

F. H. C. Marriott, Wojtek J. Krzanowski, W. Krzanowski, 1994 .

Deep learning for early detection of pathological changes in X-ray bone microstructures: case of osteoarthritis

W. Krzanowski, V. Schetinin, L. Jakaite, 2021, Scientific Reports.

Biclustering models for structured microarray data

Wojtek J. Krzanowski, Trevor C. Bailey, Heather L. Turner, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Software Diversity: Practical Statistics for Its Measurement and Exploitation | Draft Currently under Revision

Derek Partridge, Wojtek J. Krzanowski, W. Krzanowski, 1996 .

Nonparametric Confidence and Tolerance Regions in Canonical Variate Analysis

W. J. Krzanowski, D. Radley, W. Krzanowski, 1989 .

318. Note: A Comparison of Some Distance Measures Applicable to Multinomial Data, Using a Rotational Fit Technique

W. Krzanowski, 1971 .

Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, J. Math. Model. Algorithms.

Non-parametric estimation of distance between groups

Wojtek J. Krzanowski, W. Krzanowski, 2003 .

Report of the Joint Editors

D. A. Preece, W. J. Krzanowski, W. Krzanowski, 1995 .

Missing‐value imputation using the robust singular‐value decomposition: Proposals and numerical evaluation

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2021, Crop Science.

Between-group comparison of principal components — some sampling results

Wojtek J. Krzanowski, W. Krzanowski, 1982 .

ASSESSING ERROR RATE ESTIMATORS: THE LEAVE-ONE-OUT METHOD RECONSIDERED

David J. Hand, Wojtek J. Krzanowski, D. Hand, 1997 .

Statistical aspects of reliability in language testing

W. Krzanowski, A. Woods, 1984 .

Testing the difference between two Kolmogorov–Smirnov values in the context of receiver operating characteristic curves

D. Hand, W. Krzanowski, 2011 .

Bayesian learning of models for estimating uncertainty in alert systems: Application to air traffic conflict avoidance

Vitaly Schetinin, Wojtek J. Krzanowski, Livia Jakaite, 2018, Integr. Comput. Aided Eng..

Multivariate Analysis: Overview

Wojtek J. Krzanowski, W. Krzanowski, 2005 .

On optimal intervention for customer lifetime value

David J. Hand, Wojtek J. Krzanowski, Martin Crowder, 2007, Eur. J. Oper. Res..

Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006, Neural Computing and Applications.

Recent Advances in Descriptive Multivariate Analysis.

W. J. Krzanowski, A. D. Gordon, W. Krzanowski, 1996 .

Biclustering models for structured microarray data

W. Krzanowski, T. Bailey, C. Hemingway, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The taxonomic status of British Water voles, genus Arvicola

W. Krzanowski, G. Corbet, J. Cummins, 2010 .

Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring

Vitaly Schetinin, Wojtek J. Krzanowski, Livia Jakaite, 2018, Int. J. Medical Informatics.

ON SELECTING VARIABLES AND ASSESSING THEIR PERFORMANCE IN LINEAR DISCRIMINANT ANALYSIS

Wojtek J. Krzanowski, W. Krzanowski, S. Ganeshanandam, 1989 .

Canonical Representation of the Location Model for Discrimination or Classification

Wojtek J. Krzanowski, W. Krzanowski, 1976 .

Computing with confidence: a Bayesian approach

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2006 .

Bayesian inductively learned modules for safety critical systems

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2003 .

Extraction of Spatial Features Using Factor Methods, Illustrated on Stream Sediment Data

Wojtek J. Krzanowski, Trevor C. Bailey, W. Krzanowski, 2007 .

Permutational tests for correlation matrices

Wojtek J. Krzanowski, W. Krzanowski, 1993 .

Ordination in the presence of group structure, for general multivariate data

Wojtek J. Krzanowski, W. Krzanowski, 1994 .

The Algebraic Basis of Classical Multivariate Methods

W. Krzanowski, 1971 .

Nonparametric discriminant analysis of phytoplankton species using data from analytical flow cytometry.

G S Collins, W J Krzanowski, W. Krzanowski, 2002, Cytometry.

Antedependence models in the analysis of multi-group high-dimensional data

W. J. Krzanowski, W. Krzanowski, 1999 .

Missing value imputation in a data matrix using the regularised singular value decomposition

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2023, MethodsX.

Missing value imputation using least squares techniques in contaminated matrices

W. Krzanowski, Sergio Arciniegas-Alarcón, Marisol García-Peña, 2022, MethodsX.

Distribution-free multiple imputation in an interaction matrix through singular value decomposition

W. Krzanowski, C. Dias, G. C. Bergamo, 2008 .

Missing value imputation in multivariate data using the singular value decomposition of a matrix

W J Krzanowski, W. Krzanowski, 1988 .

Multivariate Multiple Regression

W. Krzanowski, 2005 .

Mixtures of continuous and categorical variables in discriminant analysis.

W J Krzanowski, W. Krzanowski, 1980, Biometrics.

Multivariate Methods in Ecological Work.

László Orlóci, C. Radhakrishna Rao, Calyampudi R. Rao, 1982 .

Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2005, Perception-based Data Mining and Decision Making in Economics and Finance.

Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles pdf

Jonathan E. Fieldsend, Richard M. Everson, Derek Partridge, 2004, IDEAL.

Cross-validation to select the optimum rank for a reduced-rank approximation to multivariate data

W. Krzanowski, Marisol García-Peña, Camilo Rengifo, 2024, Journal of Crop Improvement.

Stepwise Location Model Choice in Mixed‐Variable Discrimination

Wojtek J. Krzanowski, W. Krzanowski, 1983 .

A COMPARISON OF VARIABLE REDUCTION TECHNIQUES IN AN ATTITUDINAL INVESTIGATION OF MEAT PRODUCTS

Wojtek J. Krzanowski, N. Gains, W. Krzanowski, 1988 .

Extensions to Spatial Factor Methods with an Illustration in Geochemistry

Wojtek J. Krzanowski, Trevor C. Bailey, W. Krzanowski, 2000 .