Stan Lipovetsky

According to our database, Stan Lipovetsky authored at least 116 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Specific Features of Polynomials in Several Examples.

Stan Lipovetsky

Axioms, January, 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

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

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, October, 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, October, 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, October, 2023

Equation of Finite Change and Structural Analysis of Mean Value.

Stan Lipovetsky

Axioms, October, 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, July, 2023

Readability Indices Structure and Optimal Features.

Stan Lipovetsky

Axioms, May, 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, April, 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, April, 2023

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, January, 2023

2022

Adventures in Recreational Mathematics, Vol. 1, ISBN 978-981-122-650-2.

Stan Lipovetsky

Technometrics, 2022

Adventures in Recreational Mathematics, Vol. 2, ISBN 978-981-122-651-9.

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

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

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

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

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

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

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

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

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

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

Handbook of Regression Modeling in People Analytics: With Examples in R and Python, .

Stan Lipovetsky

Technometrics, 2022

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

2021

Handbook of Item Response Theory: Applications (3).

Stan Lipovetsky

Technometrics, 2021

Handbook of Item Response Theory, Statistical Tools, Volume 2, .

Stan Lipovetsky

Technometrics, 2021

Handbook of Item Response Theory, Volume 1, Models.

Stan Lipovetsky

Technometrics, 2021

Linear Models with Python.

Stan Lipovetsky

Technometrics, 2021

Learning Microeconometrics with R.

Stan Lipovetsky

Technometrics, 2021

Book Reviews.

Stan Lipovetsky

Technometrics, 2021

Understanding the Analytic Hierarchy Process.

Stan Lipovetsky

Technometrics, 2021

R for Political Data Science: A Practical Guide.

Stan Lipovetsky

Technometrics, 2021

Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science.

Stan Lipovetsky

Technometrics, 2021

Advanced Statistics with Applications in R.

Stan Lipovetsky

Technometrics, 2021

Understanding Elections Through Statistics: Polling, Prediction, and Testing.

Stan Lipovetsky

Technometrics, 2021

The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science.

Stan Lipovetsky

Technometrics, 2021

Debunking Seven Terrorism Myths Using Statistics.

Stan Lipovetsky

Technometrics, 2021

2020

Integrals Related to the Error Function.

Stan Lipovetsky

Technometrics, 2020

Handbook of Military and Defense Operations Research.

Stan Lipovetsky

Technometrics, 2020

2ˆ5 Problems for STEM Education.

Stan Lipovetsky

Technometrics, 2020

Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse.

Stan Lipovetsky

Technometrics, 2020

Practical Multivariate Analysis (6th ed.).

Stan Lipovetsky

Technometrics, 2020

Introduction to Data Science: Data Analysis and Prediction Algorithms With R.

Stan Lipovetsky

Technometrics, 2020

Handbook of the Shapley Value.

Stan Lipovetsky

Technometrics, 2020

Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data.

Stan Lipovetsky

Technometrics, 2020

Let the Evidence Speak - Using Bayesian Thinking in Law, Medicine, Ecology and Other Areas.

Stan Lipovetsky

Technometrics, 2020

Lexical Collocation Analysis: Advances and Applications.

Stan Lipovetsky

Technometrics, 2020

Modern Psychometrics With R.

Stan Lipovetsky

Technometrics, 2020

Prehistoric Warfare and Violence: Quantitative and Qualitative Approaches.

Stan Lipovetsky

Technometrics, 2020

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences.

Stan Lipovetsky

Technometrics, 2020

2019

Simulating Societal Change: Counterfactual Modelling for Social and Policy Inquiry.

Stan Lipovetsky

Technometrics, 2019

Digital Humanities and Film Studies: Visualising Dziga Vertov's Work.

Stan Lipovetsky

Technometrics, 2019

Machine Learning in Medicine - A Complete Overview.

Stan Lipovetsky

Technometrics, 2019

Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory.

Stan Lipovetsky

Technometrics, 2019

Advances in Latent Variables: Methods, Models and Applications.

Stan Lipovetsky

Technometrics, 2019

Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems.

Stan Lipovetsky

Technometrics, 2019

2017

Machine Learning in Applied Statistics.

Stan Lipovetsky, Jong-Min Kim

Model. Assist. Stat. Appl., 2017

Coefficients of Structural Association.

Stan Lipovetsky, Igor Mandel

Int. J. Inf. Technol. Decis. Mak., 2017

2016

Dimensionality reduction for data of unknown cluster structure.

Ewa Nowakowska, Jacek Koronacki, Stan Lipovetsky

Inf. Sci., 2016

2015

Clusterability assessment for Gaussian mixture models.

Ewa Nowakowska, Jacek Koronacki, Stan Lipovetsky

Appl. Math. Comput., 2015

MaxDiff Priority Estimations with and without HB-MNL.

Stan Lipovetsky, W. Michael Conklin

Adv. Data Sci. Adapt. Anal., 2015

2014

Editorial: Statistical Estimations in Complex Problems.

Stan Lipovetsky, Alexander L. Topchishvili

Model. Assist. Stat. Appl., 2014

Discrete Choice Models for Utility and Probability in Empirical Bayes estimation.

Stan Lipovetsky

Adv. Data Sci. Adapt. Anal., 2014

2013

Additive and multiplicative mixed normal distributions and finding cluster centers.

Stan Lipovetsky

Int. J. Mach. Learn. Cybern., 2013

Finding cluster centers and sizes via multinomial parameterization.

Stan Lipovetsky

Appl. Math. Comput., 2013

Data Fusion in Several Algorithms.

Stan Lipovetsky

Adv. Data Sci. Adapt. Anal., 2013

2012

STAT-HAWKERS at the Joint Statistical Meeting 2012, San Diego, CA.

Sarjinder Singh, Stan Lipovetsky

Model. Assist. Stat. Appl., 2012

Editorial: Modern applications of copula and financial modeling.

Arkady E. Shemyakin, Stan Lipovetsky

Model. Assist. Stat. Appl., 2012

Dual PLS Analysis.

Stan Lipovetsky

Int. J. Inf. Technol. Decis. Mak., 2012

Total Odds and Other Objectives for Clustering via Multinomial-Logit Model.

Stan Lipovetsky

Adv. Data Sci. Adapt. Anal., 2012

2011

Pricing Models in Marketing Research.

Stan Lipovetsky, Shon Magnan, Andrea Zanetti-Polzi

Intell. Inf. Manag., 2011

Conditional and Multinomial logits as Binary Logit regressions.

Stan Lipovetsky

Adv. Data Sci. Adapt. Anal., 2011

2010

Enhanced ridge regressions.

Stan Lipovetsky

Math. Comput. Model., 2010

Meaningful regression analysis in adjusted coefficients Shapley value model.

Stan Lipovetsky, W. Michael Conklin

Model. Assist. Stat. Appl., 2010

Statistics in practical decision making.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2010

Supercritical Pitchfork Bifurcation in Implicit Regression Modeling.

Stan Lipovetsky

Int. J. Artif. Life Res., 2010

Meaningful Regression Coefficients Built by Data Gradients.

Stan Lipovetsky

Adv. Data Sci. Adapt. Anal., 2010

2009

PCA and SVD with nonnegative loadings.

Stan Lipovetsky

Pattern Recognit., 2009

Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial-logit forms.

Stan Lipovetsky

Math. Comput. Model., 2009

How art helps to understand statistics.

Stan Lipovetsky, Igor Mandel

Model. Assist. Stat. Appl., 2009

Editorial: Teaching Statistics.

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.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2009

How can we promote the <i>Model Assisted Statistics and Application</i> journal?

Stan Lipovetsky

Model. Assist. Stat. Appl., 2009

Optimal hierarchy structures for multi-attribute-criteria decisions.

Stan Lipovetsky

J. Syst. Sci. Complex., 2009

2008

Multinomial structuring in linear regression.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2008

Bradley-terry Choice Probability in Maximum Likelihood and Eigenproblem Solutions.

Stan Lipovetsky

Int. J. Inf. Technol. Decis. Mak., 2008

Surf - Structural Unduplicated Reach and Frequency: Latent Class Turf and Shapley Value Analyses.

Stan Lipovetsky

Int. J. Inf. Technol. Decis. Mak., 2008

2007

Designing Economic Mechanisms.

Stan Lipovetsky

Technometrics, 2007

Prediction, Learning, and Games.

Stan Lipovetsky

Technometrics, 2007

The Structural Representation of Proximity Matrices With MATLAB.

Stan Lipovetsky

Technometrics, 2007

Thurstone scaling in order statistics.

Stan Lipovetsky

Math. Comput. Model., 2007

Iteratively re-weighted random-coefficient models and Shapley value regression.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2007

Equidistant regression modeling.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2007

Ridge regression approach to sample balancing with maximum effective base.

Stan Lipovetsky

Model. Assist. Stat. Appl., 2007

2006

Quantile Regression.

Stan Lipovetsky

Technometrics, 2006

Probability, Statistics, and Stochastic Processes.

Stan Lipovetsky

Technometrics, 2006

Two-parameter ridge regression and its convergence to the eventual pairwise model.

Stan Lipovetsky

Math. Comput. Model., 2006

Data aggregation and Simpson's paradox gauged by index numbers.

Stan Lipovetsky, W. Michael Conklin

Eur. J. Oper. Res., 2006

2005

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models.

Stan Lipovetsky

Technometrics, 2005

Singular value decomposition in additive, multiplicative, and logistic forms.

Stan Lipovetsky, W. Michael Conklin

Pattern Recognit., 2005

Latent class regression model in IRLS approach.

Stan Lipovetsky, W. Michael Conklin

Math. Comput. Model., 2005

Marketing Decision Analysis By Turf And Shapley Value.

W. Michael Conklin, Stan Lipovetsky

Int. J. Inf. Technol. Decis. Mak., 2005

2004

Decision Making By Variable Contribution In Discriminant, Logit, And Regression Analyses.

Stan Lipovetsky, W. Michael Conklin

Int. J. Inf. Technol. Decis. Mak., 2004

Customer satisfaction analysis: Identification of key drivers.

W. Michael Conklin, Ken Powaga, Stan Lipovetsky

Eur. J. Oper. Res., 2004

2003

Chaos: A Statistical Perspective.

W. Michael Conklin, Stan Lipovetsky

Technometrics, 2003

2002

Robust estimation of priorities in the AHP.

Stan Lipovetsky, W. Michael Conklin

Eur. J. Oper. Res., 2002

2001

Latent Variable Models and Factor Analysis.

Stan Lipovetsky

Technometrics, 2001

Multiobjective regression modifications for collinearity.

Stan Lipovetsky, W. Michael Conklin

Comput. Oper. Res., 2001

2000

Generalized golden sections, repeated bisections and aesthetic pleasure.

Stan Lipovetsky, Freerk A. Lootsma

Eur. J. Oper. Res., 2000

Modelling and forecasting with robust canonical analysis: method and application.

Asher Tishler, Stan Lipovetsky

Comput. Oper. Res., 2000

1999

Interval estimation of priorities in the AHP.

Stan Lipovetsky, Asher Tishler

Eur. J. Oper. Res., 1999

1996

Canonical correlation analyses for three data sets: a unified framework with application to management.

Asher Tishler, Stan Lipovetsky

Comput. Oper. Res., 1996

1994

Linear methods in multimode data analysis for decision making.

Stan Lipovetsky, Asher Tishler

Comput. Oper. Res., 1994