1. Data science foundations : geometry and topology of complex hierarchic systems and big data analytics / Fionn Murtagh.
Boca Raton, FL : Chapman and Hall/CRC ; 2018.
QA300 M87 2018
2. Introduction to functional data analysis / Piotr Kokoszka, Matthew Reimherr.
FL : Chapman and Hall/CRC ; 2017.
QA320 K57 2017
3. Introduction to power analysis : two-group studies / E.C. Hedberg, NORC at the University of Chicago.
Thousand Oaks, California : Sage Publications, Inc.., [2018].
QA277 H43 2018
4. Linear models and the relevant distributions and matrix algebra / David A. Harville.
Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018].
QA188 H3798 2018
5. Missing and modified data in nonparametric estimation : with R examples / Sam Efromovich.
FL : Chapman and Hall/CRC , 2018.
QA276.2 E36 2018
6. Separating information maximum likelihood method for high-frequency financial data / Naoto Kunitomo, Seisho Sato, Daisuke Kurisu.
Japan : Springer Japan , 2018.
HF1017 K865 2018
7. Statistical regression and classification : from linear models to machine learning / Norman Matloff.
Boca Raton, FL : CRC Press, Taylor & Francis Group, [2017].
QA278.2 M377 2017
8. Stochastic processes : an introduction / Peter W. Jones, Peter Smith.
3rd ed.
Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018].
QA274 J66 2018
9. Understanding regression analysis : an introductory guide / Larry D. Schroeder, David L. Sjoquist, Paula E. Stephan.
Second edition.
Los Angeles : Sage Publications, [2017]. ©2017.
HA31.3 S37 2017