Linear methods in multimode data analysis for decision making. - Stan Lipovetsky; Asher Tishler (Comput. Oper. Res., 1994)

Canonical correlation analyses for three data sets: a unified framework with application to management. - Asher Tishler; Stan Lipovetsky (Comput. Oper. Res., 1996)

Interval estimation of priorities in the AHP. - Stan Lipovetsky; Asher Tishler (Eur. J. Oper. Res., 1999)

Modelling and forecasting with robust canonical analysis: method and application. - Asher Tishler; Stan Lipovetsky (Comput. Oper. Res., 2000)

Generalized golden sections, repeated bisections and aesthetic pleasure. - Stan Lipovetsky; Freerk A. Lootsma (Eur. J. Oper. Res., 2000)

Multiobjective regression modifications for collinearity. - Stan Lipovetsky; W. Michael Conklin (Comput. Oper. Res., 2001)

Latent Variable Models and Factor Analysis. - Stan Lipovetsky (Technometrics, 2001)

Robust estimation of priorities in the AHP. - Stan Lipovetsky; W. Michael Conklin (Eur. J. Oper. Res., 2002)

Chaos: A Statistical Perspective. - W. Michael Conklin; Stan Lipovetsky (Technometrics, 2003)

Customer satisfaction analysis: Identification of key drivers. - W. Michael Conklin; Ken Powaga; Stan Lipovetsky (Eur. J. Oper. Res., 2004)

Decision Making By Variable Contribution In Discriminant, Logit, And Regression Analyses. - Stan Lipovetsky; W. Michael Conklin (Int. J. Inf. Technol. Decis. Mak., 2004)

Marketing Decision Analysis By Turf And Shapley Value. - W. Michael Conklin; Stan Lipovetsky (Int. J. Inf. Technol. Decis. Mak., 2005)

Latent class regression model in IRLS approach. - Stan Lipovetsky; W. Michael Conklin (Math. Comput. Model., 2005)

Singular value decomposition in additive, multiplicative, and logistic forms. - Stan Lipovetsky; W. Michael Conklin (Pattern Recognit., 2005)

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. - Stan Lipovetsky (Technometrics, 2005)

Data aggregation and Simpson's paradox gauged by index numbers. - Stan Lipovetsky; W. Michael Conklin (Eur. J. Oper. Res., 2006)

Two-parameter ridge regression and its convergence to the eventual pairwise model. - Stan Lipovetsky (Math. Comput. Model., 2006)

Probability, Statistics, and Stochastic Processes. - Stan Lipovetsky (Technometrics, 2006)

Quantile Regression. - Stan Lipovetsky (Technometrics, 2006)

Ridge regression approach to sample balancing with maximum effective base. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2007)

Equidistant regression modeling. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2007)

Iteratively re-weighted random-coefficient models and Shapley value regression. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2007)

Thurstone scaling in order statistics. - Stan Lipovetsky (Math. Comput. Model., 2007)

The Structural Representation of Proximity Matrices With MATLAB. - Stan Lipovetsky (Technometrics, 2007)

Prediction, Learning, and Games. - Stan Lipovetsky (Technometrics, 2007)

Designing Economic Mechanisms. - Stan Lipovetsky (Technometrics, 2007)

Surf - Structural Unduplicated Reach and Frequency: Latent Class Turf and Shapley Value Analyses. - Stan Lipovetsky (Int. J. Inf. Technol. Decis. Mak., 2008)

Bradley-terry Choice Probability in Maximum Likelihood and Eigenproblem Solutions. - Stan Lipovetsky (Int. J. Inf. Technol. Decis. Mak., 2008)

Multinomial structuring in linear regression. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2008)

Optimal hierarchy structures for multi-attribute-criteria decisions. - Stan Lipovetsky (J. Syst. Sci. Complex., 2009)

How can we promote the Model Assisted Statistics and Application journal? - Stan Lipovetsky (Model. Assist. Stat. Appl., 2009)

Editorial. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2009)

On the problems of statistical modeling in marketing and advertising research. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2009)

Editorial: Teaching Statistics. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2009)

How art helps to understand statistics. - Stan Lipovetsky; Igor Mandel (Model. Assist. Stat. Appl., 2009)

Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial-logit forms. - Stan Lipovetsky (Math. Comput. Model., 2009)

PCA and SVD with nonnegative loadings. - Stan Lipovetsky (Pattern Recognit., 2009)

Meaningful Regression Coefficients Built by Data Gradients. - Stan Lipovetsky (Adv. Data Sci. Adapt. Anal., 2010)

Supercritical Pitchfork Bifurcation in Implicit Regression Modeling. - Stan Lipovetsky (Int. J. Artif. Life Res., 2010)

Statistics in practical decision making. - Stan Lipovetsky (Model. Assist. Stat. Appl., 2010)

Meaningful regression analysis in adjusted coefficients Shapley value model. - Stan Lipovetsky; W. Michael Conklin (Model. Assist. Stat. Appl., 2010)

Enhanced ridge regressions. - Stan Lipovetsky (Math. Comput. Model., 2010)

Conditional and Multinomial logits as Binary Logit regressions. - Stan Lipovetsky (Adv. Data Sci. Adapt. Anal., 2011)

Pricing Models in Marketing Research. - Stan Lipovetsky; Shon Magnan; Andrea Zanetti-Polzi (Intell. Inf. Manag., 2011)

Total Odds and Other Objectives for Clustering via Multinomial-Logit Model. - Stan Lipovetsky (Adv. Data Sci. Adapt. Anal., 2012)

Dual PLS Analysis. - Stan Lipovetsky (Int. J. Inf. Technol. Decis. Mak., 2012)

Editorial: Modern applications of copula and financial modeling. - Arkady E. Shemyakin; Stan Lipovetsky (Model. Assist. Stat. Appl., 2012)

STAT-HAWKERS at the Joint Statistical Meeting 2012, San Diego, CA. - Sarjinder Singh; Stan Lipovetsky (Model. Assist. Stat. Appl., 2012)

Data Fusion in Several Algorithms. - Stan Lipovetsky (Adv. Data Sci. Adapt. Anal., 2013)

Finding cluster centers and sizes via multinomial parameterization. - Stan Lipovetsky (Appl. Math. Comput., 2013)

Additive and multiplicative mixed normal distributions and finding cluster centers. - Stan Lipovetsky (Int. J. Mach. Learn. Cybern., 2013)

Discrete Choice Models for Utility and Probability in Empirical Bayes estimation. - Stan Lipovetsky (Adv. Data Sci. Adapt. Anal., 2014)

Editorial: Statistical Estimations in Complex Problems. - Stan Lipovetsky; Alexander L. Topchishvili (Model. Assist. Stat. Appl., 2014)

MaxDiff Priority Estimations with and without HB-MNL. - Stan Lipovetsky; W. Michael Conklin (Adv. Data Sci. Adapt. Anal., 2015)

Clusterability assessment for Gaussian mixture models. - Ewa Nowakowska; Jacek Koronacki; Stan Lipovetsky (Appl. Math. Comput., 2015)

Dimensionality reduction for data of unknown cluster structure. - Ewa Nowakowska; Jacek Koronacki; Stan Lipovetsky (Inf. Sci., 2016)

Coefficients of Structural Association. - Stan Lipovetsky; Igor Mandel (Int. J. Inf. Technol. Decis. Mak., 2017)

Machine Learning in Applied Statistics. - Stan Lipovetsky; Jong-Min Kim (Model. Assist. Stat. Appl., 2017)

Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems. - Stan Lipovetsky (Technometrics, 2019)

Advances in Latent Variables: Methods, Models and Applications. - Stan Lipovetsky (Technometrics, 2019)

Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory. - Stan Lipovetsky (Technometrics, 2019)

Machine Learning in Medicine - A Complete Overview. - Stan Lipovetsky (Technometrics, 2019)

Digital Humanities and Film Studies: Visualising Dziga Vertov's Work. - Stan Lipovetsky (Technometrics, 2019)

Simulating Societal Change: Counterfactual Modelling for Social and Policy Inquiry. - Stan Lipovetsky (Technometrics, 2019)

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences. - Stan Lipovetsky (Technometrics, 2020)

Prehistoric Warfare and Violence: Quantitative and Qualitative Approaches. - Stan Lipovetsky (Technometrics, 2020)

Modern Psychometrics With R. - Stan Lipovetsky (Technometrics, 2020)

Lexical Collocation Analysis: Advances and Applications. - Stan Lipovetsky (Technometrics, 2020)

Let the Evidence Speak - Using Bayesian Thinking in Law, Medicine, Ecology and Other Areas. - Stan Lipovetsky (Technometrics, 2020)

Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data. - Stan Lipovetsky (Technometrics, 2020)

Handbook of the Shapley Value. - Stan Lipovetsky (Technometrics, 2020)

Introduction to Data Science: Data Analysis and Prediction Algorithms With R. - Stan Lipovetsky (Technometrics, 2020)

Practical Multivariate Analysis (6th ed.). - Stan Lipovetsky (Technometrics, 2020)

Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse. - Stan Lipovetsky (Technometrics, 2020)

2ˆ5 Problems for STEM Education. - Stan Lipovetsky (Technometrics, 2020)

Handbook of Military and Defense Operations Research. - Stan Lipovetsky (Technometrics, 2020)

Integrals Related to the Error Function. - Stan Lipovetsky (Technometrics, 2020)

Debunking Seven Terrorism Myths Using Statistics. - Stan Lipovetsky (Technometrics, 2021)

The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science. - Stan Lipovetsky (Technometrics, 2021)

Understanding Elections Through Statistics: Polling, Prediction, and Testing. - Stan Lipovetsky (Technometrics, 2021)

Advanced Statistics with Applications in R. - Stan Lipovetsky (Technometrics, 2021)

Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science. - Stan Lipovetsky (Technometrics, 2021)

R for Political Data Science: A Practical Guide. - Stan Lipovetsky (Technometrics, 2021)

Understanding the Analytic Hierarchy Process. - Stan Lipovetsky (Technometrics, 2021)

Book Reviews. - Stan Lipovetsky (Technometrics, 2021)

Learning Microeconometrics with R. - Stan Lipovetsky (Technometrics, 2021)

Linear Models with Python. - Stan Lipovetsky (Technometrics, 2021)

Handbook of Item Response Theory, Volume 1, Models. - Stan Lipovetsky (Technometrics, 2021)

Handbook of Item Response Theory, Statistical Tools, Volume 2, . - Stan Lipovetsky (Technometrics, 2021)

Handbook of Item Response Theory: Applications (3). - Stan Lipovetsky (Technometrics, 2021)

Analyzing Spatial Models of Choice and Judgment, Second Edition: by David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. CRC Press. Taylor & Francis Group, Chapman and Hall, Boca Raton, FL, 2021, ISBN 978-1-138-71533-2, 320 pp., $63.96 (hbk). - Stan Lipovetsky (Technometrics, 2022)

Handbook of Regression Modeling in People Analytics: With Examples in R and Python, . - Stan Lipovetsky (Technometrics, 2022)

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data: 3rd Edition, by Bruce Ratner. Chapman and Hall/CRC, Taylor & Francis Group, Boca Raton, FL, 2020; ISBN 978-0-367-57360-7; xxxiii + 655 pp., $54.95 (pbk). - Stan Lipovetsky (Technometrics, 2022)

Probability, Choice, and Reason: by Leighton Vaughan Williams. CRC Press/Chapman and Hall, Taylor & Francis Group, Boca Raton, FL, 2022, ISBN 978-0-367-53891-0, xviii + 292 pp., $66.95 (pbk). - Stan Lipovetsky (Technometrics, 2022)

Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020, : Cham, Switzerland. ISBN 978-3-030-45733-4, xiv + 553 pp., 127 b/w and 25 color illustrations, $49.99 (hbk). - Stan Lipovetsky (Technometrics, 2022)

Applied Regularization Methods for the Social Sciences: by Holmes Finch, Boca Raton, FL, CRC/Chapman & Hall, Taylor & Francis Group, 2022, 305 pp., 77 b/w ill., $89.95 (hbk), ISBN 978-0-367-40878-7. - Stan Lipovetsky (Technometrics, 2022)

Behavior Analysis with Machine Learning Using R, : by Enrique Garcia Ceja, Boca Raton, FL, CRC Press, Taylor & Francis Group, 2022, xxxiii + 397 pp., 96 color & 88 b/w illustrations, $79.96, ISBN 978-1-032-06704-9. - Stan Lipovetsky (Technometrics, 2022)

Explanatory Model Analysis: Explore, Explain and Examine Predictive Models, : by Przemyslaw Biecek, Tomasz Burzykowski, Boca Raton, FL, Chapman and Hall/CRC, Taylor & Francis Group, 2021, xiii + 311 pp., $79.96 (hbk), ISBN 978-0-367-13559-1. - Stan Lipovetsky (Technometrics, 2022)

Math and Art: An Introduction to Visual Mathematics, 2nd ed., : by Sasho Kalajdzievski, Boca Raton, FL, Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 398 pp., $55.96 (pbk), ISBN 9780367076115. - Stan Lipovetsky (Technometrics, 2022)

Measurement Models for Psychological Attributes: by Klaas Sijtsma, and Andries L. van der Ark, Boca Raton, FL, CRC Press, Taylor & Francis Group, Chapman and Hall, 2020, 428 pp., 50 b/w illustrations, $79.95 (pbk), ISBN 978-0-367-42452-7. - Stan Lipovetsky (Technometrics, 2022)

Book Review: Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package, by Kim-Ahn Lê Cao and Zoe Welham, Boca Raton, FL, CRC/CRC Press, Chapman and Hall, Taylor & Francis Group, 2022, xxi + 308 pp., 121 color illustrations, $79.96 (hbk), ISBN 9780367460945. - Stan Lipovetsky (Technometrics, 2022)

Mathematical Modeling: Models, Analysis and Applications, 2nd Edition: by Sandip Banerjee, Boka Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2022, 433 pp., $130.00 (hbk), ISBN 978-1-138-49594-4. - Stan Lipovetsky (Technometrics, 2022)

Adventures in Recreational Mathematics, Vol. 2, ISBN 978-981-122-651-9. - Stan Lipovetsky (Technometrics, 2022)

Adventures in Recreational Mathematics, Vol. 1, ISBN 978-981-122-650-2. - Stan Lipovetsky (Technometrics, 2022)

Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance: by Steven Tijms, Singapore: World Scientific, 2021, 256 pp., $34.00 (pbk), ISBN 978-981-124-783-5. - Stan Lipovetsky (Technometrics, 2023)

Introduction to Math Olympiad Problems: by Michael A. Radin, Boca Raton, FL, Chapman and Hall/CRC Press, Taylor & Francis Group, 2021, 160 pp., $23.96 (pbk), ISBN 9780367544713. - Stan Lipovetsky (Technometrics, 2023)

Handbook of Measurement Error Models: edited by Grace Y. Yi, Aurore Delaigle, and Paul Gustafson, Boca Raton, FL, Chapman & Hall/CRC Press, Taylor & Francis Group, 2021, xiv+577 pp., 33 B/W illustrations, $200.00 (hbk), ISBN 978-1-138-10640-6. - Stan Lipovetsky (Technometrics, 2023)

Readability Indices Structure and Optimal Features. - Stan Lipovetsky (Axioms, 2023)

The Energy of Data and Distance Correlation,: Gabor J. Szekely and Maria L. Rizzo, Boca Raton, FL: CRC/CRC Press/Chapman & Hall/Taylor & Francis Group, 2023, xvii + 448 pp., $120.00 (hbk), 7 Color & 24 B/W Illustrations, ISBN 978-1-482-24274-4. - Stan Lipovetsky (Technometrics, 2023)

Equation of Finite Change and Structural Analysis of Mean Value. - Stan Lipovetsky (Axioms, 2023)

Luck, Logic, and White Lies: The Mathematics of Games; 2nd ed.Jörg Bewersdorff, translated by David Kramer, Boca Raton, FL: A.K. Peters/CRC Press, Taylor & Francis Group, 2021, xx + 548 pp., $ 47.96 (pbk), ISBN 9780367548414. - Stan Lipovetsky (Technometrics, 2023)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-108-82341-8. - Stan Lipovetsky (Technometrics, 2023)

Mathematics of The Big Four Casino Table Games: Blackjack, Baccarat, Craps, & RouletteMark Bollman, Boca Raton, FL: CRC Press/Chapman & Hall, Taylor & Francis Group, 2021, xi +353 pp., 43 B/W illustrations, $ 31.16 (pbk), ISBN 9780367740900. - Stan Lipovetsky (Technometrics, 2023)

Quantitative Investing: from Theory to Industry Quantitative Investing: from Theory to Industry , Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7: Lingjie Ma, Cham, Switzerland: Springer Nature Switzerland AG, 2020, xvii + 455 pp., 35 b/w and 110 color illustrations, $89.99 (pbk), ISBN 978-3-030-47204-7. - Stan Lipovetsky (Technometrics, 2024)

(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., $69.99 (hbk), ISBN 978-3-03-002461-1: Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG, 2019, xxxviii + 539 pp., $69.99 (hbk), ISBN 978-3-03-002461-1. - Stan Lipovetsky (Technometrics, 2024)

Specific Features of Polynomials in Several Examples. - Stan Lipovetsky (Axioms, 2024)

Essential Mathematics for Engineers and Scientists Essential Mathematics for Engineers and Scientists Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk): Thomas J. Pence and Indrek S. Wichman, New York: Cambridge University Press, 2020, xx + 736 pp., $135.00, ISBN 978-1-108-42544-5 (hbk). - Stan Lipovetsky (Technometrics, 2024)

Quantifying Counterfactual Military History Quantifying Counterfactual Military History Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4: Brennen Fagan, Ian Horwood, Niall MacKay, Christopher Price, and A. Jamie Wood, Boca Raton, FL: CRC Press/Taylor & Francis Group, Chapman & Hall Books, 2024, ix + 228 pp., $ 74.95 (hbk), ISBN 978-1-138-59452-4. - Stan Lipovetsky (Technometrics, 2024)

Applied Machine Learning Using mlr3 in RApplied Machine Learning Using mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5.: Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xvii + 339 pp., $ 79.95 (pbk), ISBN 978-1-032-50754-5. - Stan Lipovetsky (Technometrics, 2024)

Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8.: JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin Yilmaz, Verena MarieBarthelmes, and Henrik Madsen, Boca Raton, FL: CRC Press, Taylor & Francis Group, Chapman and Hall, 2024, xv + 366 pp., 35 b/w illustrations, $ 160.00 (hbk), ISBN 978-1-032-33460-8. - Stan Lipovetsky (Technometrics, 2024)

The Planetary Atom: A Fictional Account of George Adolphus Schott, the Forgotten Physicist The Planetary Atom: A Fictional Account of George Adolphus Schott, the Forgotten Physicist , Jean-Patrick Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii + 227 pp., $ 28.00 (pbk), ISBN 978-1-80061-014-9.: Jean-Patrick Connerade, alias Chaunes. Singapore: World Scientific, 2022, xviii + 227 pp., $ 28.00 (pbk), ISBN 978-1-80061-014-9. - Stan Lipovetsky (Technometrics, 2024)

Symbolic Regression: Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, and Michael Affenzeller, Boca Raton, FL: Chapman and Hall/CRC Press, Taylor & Francis Group, 2024, xiv + 293 pp., $ 79.96 (hbk), ISBN 978-1-138-05481-3. - Stan Lipovetsky (Technometrics, 2024)

Correlation in Engineering and the Applied Sciences: Applications in R: Rajan Chattamvelli, Cham, Switzerland: Springer/Springer Nature Switzerland AG, 2024, xvi + 178 pp., $44.99 (hbk), ISBN 978-3-031-51014-4. - Stan Lipovetsky (Technometrics, 2025)

Advanced Statistical Methods: Sahana Prasad, Singapore: Springer Nature, 2024, xxiii + 218 pp., 63 b/w + 11 color illustrations, $119.99 (hbk), ISBN 978-981-99-7256-2. - Stan Lipovetsky (Technometrics, 2025)

Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges: Edited by Claus Weihs, Walter Krämer, and Sarah Buschfeld, Berlin, Heidelberg, Germany: Springer Nature, 2024, xxi + 252 pp., 53 b/w + 46 color illustrations, $44.99 (hbk), ISBN 978-3-662-68906-6. - Stan Lipovetsky (Technometrics, 2025)

Modeling Reality with Mathematics: Alfio Quarteroni, Cham, Switzerland: Springer/Springer Nature Switzerland AG, 2022, xix + 123 pp., 20 illustrations in color, $24.99 (hbk), ISBN 978-3-030-96161-9. - Stan Lipovetsky (Technometrics, 2025)