1. Algebraic coding theory / Elwyn Berlekamp.
Revised edition.
Hackensack, NJ : World Scientific Publishing Co., [2015]. c2015.
QA268 B46 2015
2. Algebraic geometry and statistical learning theory / Sumio Watanabe.
Cambridge ; New York : Cambridge University Press, c2009.
Q325.7 W38 2009
3. Applied surrogate endpoint evaluation methods with SAS and R / Ariel Alonso [and eight others].
Boca Raton : CRC Press, 2017.
R853.C55 A677 2017
4. Bioequivalence and statistics in clinical pharmacology / Scott Patterson, Byron Jones.
2nd ed.
Boca Raton : Chapman & Hall/CRC, 2017.
QV38 P318 2017
5. Change-point analysis in nonstationary stochastic models / Boris Brodsky.
Boca Raton : CRC Press, Taylor & Francis Group, [2017].
QA274.2 B76 2017
6. Combinatorial identities for Stirling numbers : the unpublished notes of H.W. Gould / by Jocelyn Quaintance (University of Pennsylvania, USA) and H.W. Gould (West Virginia University, USA).
New Jersey : World Scientific, 2015, 2016.
QA164 Q83 2016
7. Comparative approaches to using R and Python for statistical data analysis / by Rui Sarmento and Vera Costa.
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : IGI
Global, [2017].
QA276.45.R3 S27 2017
8. Computer age statistical inference : algorithms, evidence, and data science / Bradley Efron, Trevor Hastie.
NY : Bradley Efron and Trevor Hastie ; Cambridge University Press , 2016.
QA276 E37 2016
9. E-learning and the science of instruction : proven guidelines for consumers and designers of multimedia learning / Ruth Colvin Clark, Richard E. Mayer.
4th ed.
Hoboken : Wiley , 2016.
HF1106 C55 2016
10. Elements of numerical analysis / Radhey S. Gupta.
Second edition.
Delhi, India : Cambridge University Press, 2015.
QA297 G87 2015
11. Engineering mathematics II : algebraic, stochastic and analysis structures for networks, data classification and optimization / Sergei Silvestrov, Milica Ran?i?, editors.
Cham, Switzerland : Springer, 2016.
TA330 E545 2016
12. Environmental and ecological statistics with R / Song S. Qian.
2nd ed.
Boca Raton, FL : CRC Press, 2017.
GE45.S73 Q53 2017
13. Exercises in linear algebra / Luis Barreira, Claudia Valls, Universidade de Lisboa, Portugal.
New Jersey : World Scientific, [2016].
QA184.5 B3713 2016
14. Exercises in linear algebra / Luis Barreira, Claudia Valls, Universidade de Lisboa, Portugal.
New Jersey : World Scientific, [2016].
QA184.5 B3713 2016
15. Graph theory : a problem oriented approach / Daniel A. Marcus.
Washington, D.C. : Mathematical Association of America, c2015.
QA166 M37 2008
16. Illuminating statistical analysis using scenarios and simulations / Jeffrey E Kottemann, Ph.D.
Hoboken, New Jersey : John Wiley & Sons, Inc., [2017].
QA276 K676 2017
17. Inequalities in analysis and probability / Odile Pons.
2nd ed.
Singapore : World Scientific, 2017.
QA295 P66 2017
18. Information geometry and population genetics : the mathematical structure of the Wright-Fisher model / Julian Hofrichter, Jurgen Jost, Tat Dat Tran.
Cham : Springer, 2017.
QH455 H647 2017
19. Introduction to Bayesian estimation and copula models of dependence / Arkady Shemyakin, Alexander Kniazev.
Hoboken, New Jersey : John Wiley & Sons, Inc., [2017].
QA279.5 S435 2017.
20. Introduction to linear algebra / Gilbert Strang.
5th ed.
Wellesley, MA : Wellesley-Cambridge Press, c2016.
QA184 S78 2016
21. An introduction to mathematical statistics and its applications / Richard J. Larsen, Vanderbilt University, Morris L. Marx, University of West Florida.
Sixth edition.
Boston : Pearson, [2018].
QA276 L314 2018
22. Kernel-based approximation methods using MATLAB / by Gregory Fasshauer (Illinois Institute of Technology, USA), Michael McCourt (University of Colorado Denver, USA).
New Jersey : World Scientific, 2015, 2016.
QA221 F37 2016
23. Learning from data : a short course / Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin.
[S.l.] : AMLBook.com, c2012.
Q325.5 A28 2012
24. The master algorithm : how the quest for the ultimate learning machine will remake our world / Pedro Domingos.
New York : Basic Books, a member of the Perseus Books Group, [2015].
Q387 D66 2015
25. Mathematics across contemporary sciences : AUS-ICMS, Sharjah, UAE, April 2015 / Taher Abualrub, Abdul Salam Jarrah, Sadok Kallel, Hana Sulieman, editors.
Cham, Switzerland : Springer, 2017.
QA1 M38 2017
26. Music data analysis : foundations and applications / edited by Claus Weihs,
Dietmar Jannach, Igor Vatolkin, Gunter Rudolph.
Boca Raton : CRC Press, [2017].
ML74 M973 2017
27. Non-homogeneous random walks : Lyapunov function methods for near-critical stochastic systems / Mikhail Menshikov, University of Durham, Serguei Popov, Universidade Estadual de Campinas, Brazil, Andrew Wade, University of Durham.
Cambridge, United Kingdom : Cambridge University Press, 2017.
QA274.73 M46 2017
28. Number treasury 3 : investigations, facts, and conjectures about more than 100 number families / by Margaret J. Kenney (Boston College, USA) and Stanley J. Bezuszka (Boston College, USA).
3rd edition.
New Jersey : World Scientific, 2015.
QA141 K46 2015
29. Optimization in practice with MATLAB for engineering students and professionals / Achille Messac, PhD, Mississippi State University.
New York, NY : Cambridge University Press, 2015.
TA174 M388 2015
30. Principles of optimal design : modeling and computation / Panos Y. Papalambros, Douglass J. Wilde.
3rd ed.
Cambridge ; New York : Cambridge University Press, 2017.
QA402.5 P374 2017
31. R for data science : import, tidy, transform, visualize, and model data / by Hadley Wickham, Garrett Grolemund.
First edition.
Sebastopol, CA : O’Reilly Media, 2016. c2017.
QA276.45.R3 W637 2016
32. Random walks and heat kernels on graphs / Martin T. Barlow, University of British Columbia, Canada.
Cambridge, United Kingdom ; New York, NY : Cambridge University Press, [2017].
QA274.73 B3735 2017
33. SPSS statistics for data analysis and visualization / Keith McCormick, Jesus Salcedo, with Jon Peck and Andrew Wheeler; foreword by Jason Verlen.
Indianapolis, IN : John Wiley & Sons, Inc., [2017].
HA32 M367 2017
34. Statistical data fusion / Benjamin Kedem, Victor de Oliveira, Michael Sverchkov.
New Jersey : World Scientific / [2017].
QA276 K2447 2017
35. Strengthening data science methods for Department of Defense personnel and readiness missions / Committee on Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions, Committee on Applied
and Theoretical Statistics. Board on Mathematical Sciences and their Applications, Division on Engineering and Physical Sciences ; a report of the National Academies of Sciences, Engineering, Medicine.
Washington, DC : the National Academies Press, [2017].
UA23.3 N2013 2017
36. Systems biology : simulation of dynamic network states / Bernhard O. Palsson.
Cambridge, UK ; New York : Cambridge University Press, 2011.
QU26.5 P182 2011
37. Variable selection in categorical regressin models : theory and applications / Sabyasachi, Patra.
Deutschland, Germany : LAP LAMBERT Academic Publishing , 2013.
QA278.2 P274 2013