Works matching AU Beh, Eric J.

Results: 46

Least‐squares estimators of the linear‐by‐linear association parameter from an ordinal log‐linear model.

Published in:

Australian & New Zealand Journal of Statistics, 2025, v. 67, n. 2, p. 137, doi. 10.1111/anzs.70000

By:

Beh, Eric J.;
Zafar, Sidra;
Hudson, Irene L.

Publication type:

Article

Asymptotic Characteristics of the Non-Iterative Estimates of the Linear-by-Linear Association Parameter for Ordinal Log-Linear Models.

Published in:

Computation, 2022, v. 10, n. 12, p. 206, doi. 10.3390/computation10120206

By:

Zafar, Sidra;
Cheema, Salman A.;
Beh, Eric J.;
Hudson, Irene L.

Publication type:

Article

Comments on 'a systematic review and meta‐analysis of radiofrequency procedures on innervation to the shoulder joint for relieving chronic pain' by Pushparaj et al.

Published in:

European Journal of Pain, 2021, v. 25, n. 6, p. 1384, doi. 10.1002/ejp.1783

By:

Russo, Marc A.;
Santarelli, Danielle M.;
Wright, Robert E.;
Beh, Eric J.

Publication type:

Article

Exploring the association between self-efficacy and future utility beliefs in mathematics: A practical tutorial on correspondence analysis.

Published in:

PLoS ONE, 2023, v. 18, n. 3, p. 1, doi. 10.1371/journal.pone.0282696

By:

Alzahrani, Asma;
Beh, Eric J.;
Stojanovski, Elizabeth

Publication type:

Article

Analysis of three-way non-symmetrical association of food concepts in cross-cultural marketing.

Published in:

Quality & Quantity, 2019, v. 53, n. 5, p. 2323, doi. 10.1007/s11135-018-0733-6

By:

Lombardo, Rosaria;
Beh, Eric J.;
Guerrero, Luis

Publication type:

Article

A general similarity measure for simple correspondence analysis.

Published in:

Communications in Statistics: Theory & Methods, 2025, v. 54, n. 13, p. 4062, doi. 10.1080/03610926.2024.2413842

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Confidence Regions and Approximate p -values for Classical and Non Symmetric Correspondence Analysis.

Published in:

Communications in Statistics: Theory & Methods, 2015, v. 44, n. 1, p. 95, doi. 10.1080/03610926.2013.768665

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Applied Categorical and Count Data Analysis.

Published in:

Australian & New Zealand Journal of Statistics, 2015, v. 57, n. 1, p. 164, doi. 10.1111/anzs.12111

By:

Beh, Eric J.

Publication type:

Article

Calculating bivariate orthonormal polynomials by recurrence.

Published in:

Australian & New Zealand Journal of Statistics, 2013, v. 55, n. 1, p. 15, doi. 10.1111/anzs.12011

By:

Rayner, John C. W.;
Thas, Olivier;
Pipelers, Peter;
Beh, Eric J.

Publication type:

Article

A GENEALOGY OF CORRESPONDENCE ANALYSIS.

Published in:

Australian & New Zealand Journal of Statistics, 2012, v. 54, n. 2, p. 137, doi. 10.1111/j.1467-842X.2012.00676.x

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

The Box-Cox Transformation and Non-Iterative Estimation Methods For Ordinal Log-Linear Models.

Published in:

Australian & New Zealand Journal of Statistics, 2012, v. 54, n. 4, p. 475, doi. 10.1111/anzs.12007

By:

Beh, Eric J.;
Farver, Thomas B.

Publication type:

Article

Understanding Biplots by John Gower, Sugnet Gardner-Lubbe and Niël Le Roux.

Published in:

2011

By:

Beh, Eric J.

Publication type:

Book Review

Biplots in Practice, by Michael Greenacre.

Published in:

2011

By:

Beh, Eric J.

Publication type:

Book Review

AN EVALUATION OF NON-ITERATIVE METHODS FOR ESTIMATING THE LINEAR-BY-LINEAR PARAMETER OF ORDINAL LOG-LINEAR MODELS.

Published in:

2010

By:

Beh, Eric J.;
Farver, Thomas B.

Publication type:

Correction Notice

NON-SYMMETRICAL CORRESPONDENCE ANALYSIS WITH CONCATENATION AND LINEAR CONSTRAINTS.

Published in:

Australian & New Zealand Journal of Statistics, 2010, v. 52, n. 1, p. 27, doi. 10.1111/j.1467-842X.2009.00564.x

By:

BEH, ERIC J.;
D'AMBRA, LUIGI

Publication type:

Article

AN EVALUATION OF NON-ITERATIVE METHODS FOR ESTIMATING THE LINEAR-BY-LINEAR PARAMETER OF ORDINAL LOG-LINEAR MODELS.

Published in:

Australian & New Zealand Journal of Statistics, 2009, v. 51, n. 3, p. 335, doi. 10.1111/j.1467-842X.2009.00549.x

By:

BEH, ERIC J.;
FARVER, THOMAS B.

Publication type:

Article

Partitioning Pearson’s chi-squared statistic for a partially ordered three-way contingency table.

Published in:

Australian & New Zealand Journal of Statistics, 1999, v. 41, n. 2, p. 233, doi. 10.1111/1467-842x.00077

By:

Beh, Eric J.;
Davy, Pamela J.

Publication type:

Article

Partitioning Pearson's Chi-Squared Statistic for a Completely Ordered Three-Way Contingency Table.

Published in:

Australian & New Zealand Journal of Statistics, 1998, v. 40, n. 4, p. 465, doi. 10.1111/1467-842x.00050

By:

Beh, Eric J.;
Davy, Pamela J.

Publication type:

Article

Multiple and multiway correspondence analysis.

Published in:

WIREs: Computational Statistics, 2019, v. 11, n. 5, p. N.PAG, doi. 10.1002/wics.1464

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Correspondence Analysis for Assessing Departures from Perfect Symmetry Using the Cressie–Read Family of Divergence Statistics.

Published in:

Symmetry (20738994), 2024, v. 16, n. 7, p. 830, doi. 10.3390/sym16070830

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Visualising Departures from Symmetry and Bowker's X 2 Statistic.

Published in:

Symmetry (20738994), 2022, v. 14, n. 6, p. N.PAG, doi. 10.3390/sym14061103

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Measuring 'Risk' in Occupational Health Studies: Standard Methods and Some Alternatives for Epidemiological Research.

Published in:

Industrial Health, 2012, v. 50, n. 6, p. 463, doi. 10.2486/indhealth.MS5006ED

By:

SMITH, Derek R.;
BEH, Eric J.

Publication type:

Article

Manipulating the Alpha Level Cannot Cure Significance Testing.

Published in:

Frontiers in Psychology, 2018, p. 1, doi. 10.3389/fpsyg.2018.00699

By:

Trafimow, David;
Amrhein, Valentin;
Areshenkoff, Corson N.;
Barrera-Causil, Carlos J.;
Beh, Eric J.;
Bilgiç, Yusuf K.;
Bono, Roser;
Bradley, Michael T.;
Briggs, William M.;
Cepeda-Freyre, Héctor A.;
Chaigneau, Sergio E.;
Ciocca, Daniel R.;
Correa, Juan C.;
Cousineau, Denis;
de Boer, Michiel R.;
Dhar, Subhra S.;
Dolgov, Igor;
Gómez-Benito, Juana;
Grendar, Marian;
Grice, James W.

Publication type:

Article

Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics.

Published in:

International Statistical Review, 2024, v. 92, n. 1, p. 17, doi. 10.1111/insr.12541

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Simple Correspondence Analysis: A Bibliographic Review.

Published in:

International Statistical Review, 2004, v. 72, n. 2, p. 257, doi. 10.1111/j.1751-5823.2004.tb00236.x

By:

Beh, Eric J.

Publication type:

Article

Towards a better understanding of correlation.

Published in:

Statistica Neerlandica, 2009, v. 63, n. 3, p. 324, doi. 10.1111/j.1467-9574.2009.00425.x

By:

Rayner, J. C. W.;
Beh, Eric J.

Publication type:

Article

A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables.

Published in:

Computational Statistics, 2025, v. 40, n. 3, p. 1423, doi. 10.1007/s00180-024-01537-7

By:

Takane, Yoshio;
Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Profile transformations for reciprocal averaging and singular value decomposition: Profile transformations for reciprocal averaging...: T.-W. Wang et al.

Published in:

Computational Statistics, 2025, v. 40, n. 3, p. 1217, doi. 10.1007/s00180-024-01517-x

By:

Wang, Ting-Wu;
Beh, Eric J.;
Lombardo, Rosaria;
Renner, Ian W.

Publication type:

Article

How Informative Is the Marginal Information in a 2 × 2 Table for Assessing the Association Between Variables? The Aggregate Informative Index.

Published in:

Mathematics (2227-7390), 2024, v. 12, n. 23, p. 3719, doi. 10.3390/math12233719

By:

Cheema, Salman;
Beh, Eric J.;
Hudson, Irene L.

Publication type:

Article

Testing and Visualization of Associations in Three-Way Contingency Tables: A Study of the Gender Gap in Patients with Type 1 Diabetes and Cardiovascular Complications.

Published in:

Mathematics (2227-7390), 2024, v. 12, n. 14, p. 2186, doi. 10.3390/math12142186

By:

Lombardo, Rosaria;
Beh, Eric J.;
Prattichizzo, Francesco;
Lucisano, Giuseppe;
Nicolucci, Antonio;
Eliasson, Björn;
Carlsen, Hanne Krage;
Grotta, Rosalba La;
Pellegrini, Valeria;
Ceriello, Antonio

Publication type:

Article

Three-Way Correspondence Analysis in R.

Published in:

R Journal, 2023, v. 15, n. 2, p. 237, doi. 10.32614/rj-2023-049

By:

Lombardo, Rosaria;
van de Velden, Michel;
Beh, Eric J.

Publication type:

Article

Assessing Satisfaction with Public Transport Service by Ordered Multiple Correspondence Analysis.

Published in:

Social Indicators Research, 2019, v. 143, n. 1, p. 355, doi. 10.1007/s11205-018-1972-6

By:

Lombardo, Rosaria;
Camminatiello, Ida;
Beh, Eric J.

Publication type:

Article

Correspondence analysis of ranked data.

Published in:

Communications in Statistics: Theory & Methods, 1999, v. 28, n. 7, p. 1511, doi. 10.1080/03610929908832370

By:

Beh, Eric J.

Publication type:

Article

Confidence Regions for Simple Correspondence Analysis using the Cressie-Read Family of Divergence Statistics.

Published in:

Electronic Journal of Applied Statistical Analysis, 2023, v. 16, n. 2, p. 423, doi. 10.1285/i20705948v16n2p423

By:

Alzahrani, Asma A.;
Beh, Eric J.;
Stojanovski, Elizabeth

Publication type:

Article

A genealogy of correspondence analysis: part 2 - the variants.

Published in:

Electronic Journal of Applied Statistical Analysis, 2019, v. 12, n. 2, p. 552, doi. 10.1285/i20705948v12n2p552

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article

Using multi-way correspondence analysis to examine the Nobel Prize data in STEM related disciplines.

Published in:

Communications in Statistics: Case Studies & Data Analysis, 2024, v. 10, n. 2, p. 143, doi. 10.1080/23737484.2024.2394421

By:

Alhuzali, Turki;
Beh, Eric J.;
Stojanovski, Elizabeth

Publication type:

Article

Biplots in Practice.

Published in:

2012

By:

Beh, Eric J.

Publication type:

Book Review

Ecological inference techniques: an empirical evaluation using data describing gender and voter turnout at New Zealand elections, 1893–1919.

Published in:

Journal of the Royal Statistical Society: Series A (Statistics in Society), 2010, v. 173, n. 1, p. 185, doi. 10.1111/j.1467-985X.2009.00609.x

By:

Hudson, Irene L.;
Moore, Linda;
Beh, Eric J.;
Steel, David G.

Publication type:

Article

A Comparative Study of Scores for Correspondence Analysis with Ordered Categories.

Published in:

Biometrical Journal, 1998, v. 40, n. 4, p. 413, doi. 10.1002/(SICI)1521-4036(199808)40:4<413::AID-BIMJ413>3.0.CO;2-V

By:

Beh, Eric J.

Publication type:

Article

Simple Correspondence Analysis of Ordinal Cross-Classifications Using Orthogonal Polynomials.

Published in:

Biometrical Journal, 1997, v. 39, n. 5, p. 589, doi. 10.1002/bimj.4710390507

By:

Beh, Eric J.

Publication type:

Article

Components of Pearson's Statistic for at Least Partially Ordered m-Way Contingency Tables.

Published in:

Journal of Applied Mathematics & Decision Sciences, 2009, v. 2009, p. 1, doi. 10.1155/2009/980706

By:

Rayner, J. C. W.;
Beh, Eric J.

Publication type:

Article

Simple Correspondence Analysis of Nominal-Ordinal Contingency Tables.

Published in:

Journal of Applied Mathematics & Decision Sciences, 2008, v. 2008, n. 1, p. 1, doi. 10.1155/2008/218140

By:

Beh, Eric J.

Publication type:

Article

A Non-Iterative Alternative to Ordinal Log-Linear Models.

Published in:

Journal of Applied Mathematics & Decision Sciences, 2004, v. 8, n. 2, p. 67, doi. 10.1155/S1173912604000057

By:

Beh, Eric J.;
Davy, Pamela J.

Publication type:

Article

A Computational Study Assessing Maximum Likelihood and Noniterative Methods for Estimating the Linear-by-Linear Parameter for Ordinal Log-Linear Models.

Published in:

ISRN Computational Mathematics, 2012, p. 1, doi. 10.5402/2012/396831

By:

Beh, Eric J.;
Farver, Thomas B.

Publication type:

Article

On Estimating the Linear-by-Linear Parameter for Ordinal Log-Linear Models: A Computational Study.

Published in:

ISRN Computational Mathematics, 2012, p. 1, doi. 10.5402/2012/340415

By:

Beh, Eric J.;
Farver, Thomas B.

Publication type:

Article

Features of the Polynomial Biplot for Ordered Contingency Tables.

Published in:

Journal of Computational & Graphical Statistics, 2022, v. 31, n. 2, p. 403, doi. 10.1080/10618600.2021.1990773

By:

Beh, Eric J.;
Lombardo, Rosaria

Publication type:

Article