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2020 – today
- 2024
- [j121]Stan Lipovetsky
:
Specific Features of Polynomials in Several Examples. Axioms 13(1): 43 (2024) - [j120]Stan Lipovetsky:
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. Technometrics 66(1): 134-136 (2024) - [j119]Stan Lipovetsky:
(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. Technometrics 66(1): 139 (2024) - [j118]Stan Lipovetsky:
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). Technometrics 66(2): 311-313 (2024) - [j117]Stan Lipovetsky:
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. Technometrics 66(2): 317-318 (2024) - [j116]Stan Lipovetsky:
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. Technometrics 66(3): 484-485 (2024) - [j115]Stan Lipovetsky:
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. Technometrics 66(3): 487-488 (2024) - [j114]Stan Lipovetsky:
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. Technometrics 66(3): 491-493 (2024) - 2023
- [j113]Stan Lipovetsky
Readability Indices Structure and Optimal Features. Axioms 12(5): 421 (2023) - [j112]Stan Lipovetsky
Equation of Finite Change and Structural Analysis of Mean Value. Axioms 12(10): 962 (2023) - [j111]Stan Lipovetsky:
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. Technometrics 65(1): 134-136 (2023) - [j110]Stan Lipovetsky:
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. Technometrics 65(2): 296 (2023) - [j109]Stan Lipovetsky:
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. Technometrics 65(2): 302-304 (2023) - [j108]Stan Lipovetsky:
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. Technometrics 65(3): 446-448 (2023) - [j107]Stan Lipovetsky:
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. Technometrics 65(4): 604-606 (2023) - [j106]Stan Lipovetsky:
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. Technometrics 65(4): 611-613 (2023) - [j105]Stan Lipovetsky:
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. Technometrics 65(4): 613-614 (2023) - [e5]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. CEUR Workshop Proceedings 3538, CEUR-WS.org 2023 [contents] - [e4]Aleksandr Dodonov, Dmitry Lande, Vitaliy V. Tsyganok, Nikolai Stoianov, Sándor Bozóki, Stan Lipovetsky, Andriy Olenko, Sergii V. Kadenko, Oleg Chertov, Oleh V. Andriichuk:
Selected Papers of the XXII International Scientific and Practical Conference "Information Technologies and Security" (ITS 2022), Kyiv, Ukraine, November 16, 2022. CEUR Workshop Proceedings 3503, CEUR-WS.org 2023 [contents] - 2022
- [j104]Stan Lipovetsky:
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). Technometrics 64(1): 139-143 (2022) - [j103]Stan Lipovetsky:
Handbook of Regression Modeling in People Analytics: With Examples in R and Python, . Technometrics 64(1): 143-145 (2022) - [j102]Stan Lipovetsky:
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). Technometrics 64(1): 145-148 (2022) - [j101]Stan Lipovetsky:
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). Technometrics 64(1): 149-150 (2022) - [j100]Stan Lipovetsky:
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). Technometrics 64(2): 270-278 (2022) - [j99]Stan Lipovetsky:
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. Technometrics 64(3): 419-421 (2022) - [j98]Stan Lipovetsky:
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. Technometrics 64(3): 421-423 (2022) - [j97]Stan Lipovetsky:
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. Technometrics 64(3): 423-424 (2022) - [j96]Stan Lipovetsky:
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. Technometrics 64(3): 425-426 (2022) - [j95]Stan Lipovetsky:
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. Technometrics 64(3): 426-429 (2022) - [j94]Stan Lipovetsky:
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. Technometrics 64(3): 429-431 (2022) - [j93]Stan Lipovetsky:
Adventures in Recreational Mathematics, Vol. 1, ISBN 978-981-122-650-2. Technometrics 64(4): 575-581 (2022) - [j92]Stan Lipovetsky:
Adventures in Recreational Mathematics, Vol. 2, ISBN 978-981-122-651-9. Technometrics 64(4): 576-578 (2022) - [j91]Stan Lipovetsky:
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. Technometrics 64(4): 580-581 (2022) - [e3]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3106, CEUR-WS.org 2022 [contents] - [e2]Aleksandr Dodonov, Dmitry Lande, Nikolai Stoianov, Vitaliy V. Tsyganok, Sándor Bozóki, Stan Lipovetsky, Andrei A. Snarskii, Andriy Olenko, Oleg Chertov:
Selected Papers of the XXI International Scientific and Practical Conference "Information Technologies and Security" (ITS 2021), Kyiv, Ukraine, December 9, 2021. CEUR Workshop Proceedings 3241, CEUR-WS.org 2022 [contents] - 2021
- [j90]Stan Lipovetsky:
Debunking Seven Terrorism Myths Using Statistics. Technometrics 63(1): 137-140 (2021) - [j89]Stan Lipovetsky:
The Equation of Knowledge: From Bayes' Rule to a Unified Philosophy of Science. Technometrics 63(1): 140-143 (2021) - [j88]Stan Lipovetsky:
Understanding Elections Through Statistics: Polling, Prediction, and Testing. Technometrics 63(1): 143-144 (2021) - [j87]Stan Lipovetsky:
Advanced Statistics with Applications in R. Technometrics 63(2): 273-275 (2021) - [j86]Stan Lipovetsky:
Scientific Journeys: A Physicist Explores the Culture, History and Personalities of Science. Technometrics 63(2): 275-277 (2021) - [j85]Stan Lipovetsky:
R for Political Data Science: A Practical Guide. Technometrics 63(2): 277-278 (2021) - [j84]Stan Lipovetsky:
Understanding the Analytic Hierarchy Process. Technometrics 63(2): 278-279 (2021) - [j83]Stan Lipovetsky:
Book Reviews. Technometrics 63(3): 421-423 (2021) - [j82]Stan Lipovetsky:
Learning Microeconometrics with R. Technometrics 63(3): 424-425 (2021) - [j81]Stan Lipovetsky:
Linear Models with Python. Technometrics 63(3): 426-427 (2021) - [j80]Stan Lipovetsky:
Handbook of Item Response Theory, Volume 1, Models. Technometrics 63(3): 428-431 (2021) - [j79]Stan Lipovetsky:
Handbook of Item Response Theory, Statistical Tools, Volume 2, . Technometrics 63(3): 431-433 (2021) - [j78]Stan Lipovetsky:
Handbook of Item Response Theory: Applications (3). Technometrics 63(3): 433-437 (2021) - [e1]Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky:
Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. CEUR Workshop Proceedings 3018, CEUR-WS.org 2021 [contents] - 2020
- [j77]Stan Lipovetsky:
Tracing the Life Cycle of Ideas in the Humanities and Social Sciences. Technometrics 62(1): 130-132 (2020) - [j76]Stan Lipovetsky:
Prehistoric Warfare and Violence: Quantitative and Qualitative Approaches. Technometrics 62(1): 132-135 (2020) - [j75]Stan Lipovetsky:
Modern Psychometrics With R. Technometrics 62(1): 135-137 (2020) - [j74]Stan Lipovetsky:
Lexical Collocation Analysis: Advances and Applications. Technometrics 62(1): 137 (2020) - [j73]Stan Lipovetsky:
Let the Evidence Speak - Using Bayesian Thinking in Law, Medicine, Ecology and Other Areas. Technometrics 62(1): 137-138 (2020) - [j72]Stan Lipovetsky:
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data. Technometrics 62(1): 138-139 (2020) - [j71]Stan Lipovetsky:
Handbook of the Shapley Value. Technometrics 62(2): 1-280 (2020) - [j70]Stan Lipovetsky:
Introduction to Data Science: Data Analysis and Prediction Algorithms With R. Technometrics 62(2): 1-282 (2020) - [j69]Stan Lipovetsky:
Practical Multivariate Analysis (6th ed.). Technometrics 62(2): 1-283 (2020) - [j68]Stan Lipovetsky:
Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse. Technometrics 62(2): 1-283 (2020) - [j67]Stan Lipovetsky:
2ˆ5 Problems for STEM Education. Technometrics 62(4): 557-558 (2020) - [j66]Stan Lipovetsky:
Handbook of Military and Defense Operations Research. Technometrics 62(4): 559 (2020) - [j65]Stan Lipovetsky:
Integrals Related to the Error Function. Technometrics 62(4): 560 (2020)
2010 – 2019
- 2019
- [j64]Stan Lipovetsky:
Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems. Technometrics 61(3): 422 (2019) - [j63]Stan Lipovetsky:
Advances in Latent Variables: Methods, Models and Applications. Technometrics 61(3): 423-424 (2019) - [j62]Stan Lipovetsky:
Applied Data-Centric Social Sciences: Concepts, Data, Computation, and Theory. Technometrics 61(3): 424-425 (2019) - [j61]Stan Lipovetsky:
Machine Learning in Medicine - A Complete Overview. Technometrics 61(3): 425-426 (2019) - [j60]Stan Lipovetsky:
Digital Humanities and Film Studies: Visualising Dziga Vertov's Work. Technometrics 61(4): 562-563 (2019) - [j59]Stan Lipovetsky:
Simulating Societal Change: Counterfactual Modelling for Social and Policy Inquiry. Technometrics 61(4): 563-565 (2019) - 2017
- [j58]Stan Lipovetsky, Igor Mandel:
Coefficients of Structural Association. Int. J. Inf. Technol. Decis. Mak. 16(2): 285-314 (2017) - [j57]Stan Lipovetsky, Jong-Min Kim:
Machine Learning in Applied Statistics. Model. Assist. Stat. Appl. 12(3): 193-194 (2017) - 2016
- [j56]Ewa Nowakowska, Jacek Koronacki
Dimensionality reduction for data of unknown cluster structure. Inf. Sci. 330: 74-87 (2016) - 2015
- [j55]Stan Lipovetsky, W. Michael Conklin:
MaxDiff Priority Estimations with and without HB-MNL. Adv. Data Sci. Adapt. Anal. 7(1-2): 1550002:1-1550002:10 (2015) - [j54]Ewa Nowakowska, Jacek Koronacki
Clusterability assessment for Gaussian mixture models. Appl. Math. Comput. 256: 591-601 (2015) - 2014
- [j53]Stan Lipovetsky:
Discrete Choice Models for Utility and Probability in Empirical Bayes estimation. Adv. Data Sci. Adapt. Anal. 6(2-3) (2014) - [j52]Stan Lipovetsky, Alexander L. Topchishvili:
Editorial: Statistical Estimations in Complex Problems. Model. Assist. Stat. Appl. 9(3): 179-180 (2014) - 2013
- [j51]Stan Lipovetsky:
Data Fusion in Several Algorithms. Adv. Data Sci. Adapt. Anal. 5(3) (2013) - [j50]Stan Lipovetsky:
Finding cluster centers and sizes via multinomial parameterization. Appl. Math. Comput. 221: 571-580 (2013) - [j49]Stan Lipovetsky:
Additive and multiplicative mixed normal distributions and finding cluster centers. Int. J. Mach. Learn. Cybern. 4(1): 1-11 (2013) - 2012
- [j48]Stan Lipovetsky:
Total Odds and Other Objectives for Clustering via Multinomial-Logit Model. Adv. Data Sci. Adapt. Anal. 4(3) (2012) - [j47]Stan Lipovetsky:
Dual PLS Analysis. Int. J. Inf. Technol. Decis. Mak. 11(5): 879-892 (2012) - [j46]Sarjinder Singh
STAT-HAWKERS at the Joint Statistical Meeting 2012, San Diego, CA. Model. Assist. Stat. Appl. 7(4): 261-264 (2012) - [j45]Arkady E. Shemyakin, Stan Lipovetsky:
Editorial: Modern applications of copula and financial modeling. Model. Assist. Stat. Appl. 7(4): 265 (2012) - 2011
- [j44]Stan Lipovetsky:
Conditional and Multinomial logits as Binary Logit regressions. Adv. Data Sci. Adapt. Anal. 3(3): 309-324 (2011) - [j43]Stan Lipovetsky, Shon Magnan, Andrea Zanetti-Polzi:
Pricing Models in Marketing Research. Intell. Inf. Manag. 3(5): 167-174 (2011) - 2010
- [j42]Stan Lipovetsky:
Meaningful Regression Coefficients Built by Data Gradients. Adv. Data Sci. Adapt. Anal. 2(4): 451-462 (2010) - [j41]Stan Lipovetsky:
Supercritical Pitchfork Bifurcation in Implicit Regression Modeling. Int. J. Artif. Life Res. 1(4): 1-9 (2010) - [j40]Stan Lipovetsky:
Statistics in practical decision making. Model. Assist. Stat. Appl. 5(4): 217-218 (2010) - [j39]Stan Lipovetsky, W. Michael Conklin:
Meaningful regression analysis in adjusted coefficients Shapley value model. Model. Assist. Stat. Appl. 5(4): 251-264 (2010) - [j38]Stan Lipovetsky:
Enhanced ridge regressions. Math. Comput. Model. 51(5-6): 338-348 (2010)
2000 – 2009
- 2009
- [j37]Stan Lipovetsky:
Optimal hierarchy structures for multi-attribute-criteria decisions. J. Syst. Sci. Complex. 22(2): 228-242 (2009) - [j36]Stan Lipovetsky:
How can we promote the Model Assisted Statistics and Application journal? Model. Assist. Stat. Appl. 4(1): 1-3 (2009) - [j35]Stan Lipovetsky:
Editorial. Model. Assist. Stat. Appl. 4(2): 81 (2009) - [j34]Stan Lipovetsky:
On the problems of statistical modeling in marketing and advertising research. Model. Assist. Stat. Appl. 4(3): 157-158 (2009) - [j33]Stan Lipovetsky:
Editorial: Teaching Statistics. Model. Assist. Stat. Appl. 4(4): 239-240 (2009) - [j32]Stan Lipovetsky, Igor Mandel:
How art helps to understand statistics. Model. Assist. Stat. Appl. 4(4): 313-324 (2009) - [j31]Stan Lipovetsky:
Linear regression with special coefficient features attained via parameterization in exponential, logistic, and multinomial-logit forms. Math. Comput. Model. 49(7-8): 1427-1435 (2009) - [j30]Stan Lipovetsky:
PCA and SVD with nonnegative loadings. Pattern Recognit. 42(1): 68-76 (2009) - 2008
- [j29]Stan Lipovetsky:
Surf - Structural Unduplicated Reach and Frequency: Latent Class Turf and Shapley Value Analyses. Int. J. Inf. Technol. Decis. Mak. 7(2): 203-216 (2008) - [j28]Stan Lipovetsky:
Bradley-terry Choice Probability in Maximum Likelihood and Eigenproblem Solutions. Int. J. Inf. Technol. Decis. Mak. 7(3): 395-405 (2008) - [j27]Stan Lipovetsky:
Multinomial structuring in linear regression. Model. Assist. Stat. Appl. 3(3): 241-247 (2008) - 2007
- [j26]Stan Lipovetsky:
Ridge regression approach to sample balancing with maximum effective base. Model. Assist. Stat. Appl. 2(1): 17-26 (2007) - [j25]Stan Lipovetsky:
Equidistant regression modeling. Model. Assist. Stat. Appl. 2(2): 71-80 (2007) - [j24]Stan Lipovetsky:
Iteratively re-weighted random-coefficient models and Shapley value regression. Model. Assist. Stat. Appl. 2(4): 201-212 (2007) - [j23]Stan Lipovetsky:
Thurstone scaling in order statistics. Math. Comput. Model. 45(7-8): 917-926 (2007) - [j22]Stan Lipovetsky:
The Structural Representation of Proximity Matrices With MATLAB. Technometrics 49(1): 107 (2007) - [j21]Stan Lipovetsky:
Prediction, Learning, and Games. Technometrics 49(2): 225 (2007) - [j20]Stan Lipovetsky:
Designing Economic Mechanisms. Technometrics 49(2): 229 (2007) - 2006
- [j19]Stan Lipovetsky, W. Michael Conklin:
Data aggregation and Simpson's paradox gauged by index numbers. Eur. J. Oper. Res. 172(1): 334-351 (2006) - [j18]Stan Lipovetsky:
Two-parameter ridge regression and its convergence to the eventual pairwise model. Math. Comput. Model. 44(3-4): 304-318 (2006) - [j17]Stan Lipovetsky:
Probability, Statistics, and Stochastic Processes. Technometrics 48(1): 150-151 (2006) - [j16]Stan Lipovetsky:
Quantile Regression. Technometrics 48(3): 445-446 (2006) - 2005
- [j15]W. Michael Conklin, Stan Lipovetsky:
Marketing Decision Analysis By Turf And Shapley Value. Int. J. Inf. Technol. Decis. Mak. 4(1): 5-20 (2005) - [j14]Stan Lipovetsky, W. Michael Conklin:
Latent class regression model in IRLS approach. Math. Comput. Model. 42(3-4): 301-312 (2005) - [j13]Stan Lipovetsky, W. Michael Conklin:
Singular value decomposition in additive, multiplicative, and logistic forms. Pattern Recognit. 38(7): 1099-1110 (2005) - [j12]Stan Lipovetsky:
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models. Technometrics 47(2): 237-248 (2005) - 2004
- [j11]W. Michael Conklin, Ken Powaga, Stan Lipovetsky:
Customer satisfaction analysis: Identification of key drivers. Eur. J. Oper. Res. 154(3): 819-827 (2004) - [j10]Stan Lipovetsky, W. Michael Conklin:
Decision Making By Variable Contribution In Discriminant, Logit, And Regression Analyses. Int. J. Inf. Technol. Decis. Mak. 3(2): 265-279 (2004) - 2003
- [j9]W. Michael Conklin, Stan Lipovetsky:
Chaos: A Statistical Perspective. Technometrics 45(4): 371 (2003) - 2002
- [j8]Stan Lipovetsky, W. Michael Conklin:
Robust estimation of priorities in the AHP. Eur. J. Oper. Res. 137(1): 110-122 (2002) - 2001
- [j7]Stan Lipovetsky, W. Michael Conklin:
Multiobjective regression modifications for collinearity. Comput. Oper. Res. 28(13): 1333-1345 (2001) - [j6]Stan Lipovetsky:
Latent Variable Models and Factor Analysis. Technometrics 43(1): 111 (2001) - 2000
- [j5]Asher Tishler, Stan Lipovetsky:
Modelling and forecasting with robust canonical analysis: method and application. Comput. Oper. Res. 27(3): 217-232 (2000) - [j4]Stan Lipovetsky, Freerk A. Lootsma:
Generalized golden sections, repeated bisections and aesthetic pleasure. Eur. J. Oper. Res. 121(1): 213-216 (2000)
1990 – 1999
- 1999
- [j3]Stan Lipovetsky, Asher Tishler:
Interval estimation of priorities in the AHP. Eur. J. Oper. Res. 114(1): 153-164 (1999) - 1996
- [j2]Asher Tishler, Stan Lipovetsky:
Canonical correlation analyses for three data sets: a unified framework with application to management. Comput. Oper. Res. 23(7): 667-679 (1996) - 1994
- [j1]Stan Lipovetsky, Asher Tishler:
Linear methods in multimode data analysis for decision making. Comput. Oper. Res. 21(2): 169-183 (1994)
Coauthor Index
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