Statistics for data science and policy analysis /

Bibliographic Details
Other Authors:	Rahman, Azizur (Associate Professor in Mathematics and Statistics), (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer, [2020]
Subjects:	Statistics > Congresses. Electronic books.
Online Access:	View fulltext via EzAccess

Similar Items

Statistics for engineers and scientists /
by: Navidi, William Cyrus,
Published: (2020)

Measurement and evaluation for physical education and exercise science /
by: Lacy, Alan C.,, et al.
Published: (2018)

Computer and communication engineering : first International Conference, ICCCE 2018, Guayaquil, Ecuador, October 25-27, 2018, proceedings /
Published: (2019)

Proceedings of the 21st International Symposium on High Voltage Engineering.
Published: (2020)

Ideas for 21st Century Education : Proceedings of the Asian Education Symposium (AES 2016), November 22-23, 2016, Bandung, Indonesia /
Published: (2017)

Measurement and evaluation for physical education and exercise science /
by: Lacy, Alan C.,, et al.
Published: (2018)

Graph data management techniques and applications /
Published: (2012)

Advances in statistical models for data analysis /
Published: (2015)

Using R and RStudio for data management, statistical analysis, and graphics /
by: Horton, Nicholas J.,, et al.
Published: (2015)

Introduction to mathematical statistics /
by: Hogg, Robert V.,, et al.
Published: (2020)

Statistical concepts : a second course /
by: Hahs-Vaughn, Debbie L.,, et al.
Published: (2020)

Statistical concepts : a first course /
by: Hahs-Vaughn, Debbie L.,, et al.
Published: (2020)

An introduction to statistical concepts /
by: Hahs-Vaughn, Debbie L.,, et al.
Published: (2020)

Elementary statistics : a step by step approach : a brief version /
by: Bluman, Allan G.,
Published: (2019)

Extending R /
by: Chambers, John M.,
Published: (2016)

The R primer /
by: Ekstrøm, Claus Thorn,
Published: (2016)

Survey sampling theory and applications /
by: Raghunath, Arnab,
Published: (2017)

Basic Statistics.
by: Mohanty, P. K.
Published: (2016)

Using the R Commander : a point-and-click interface for R /
by: Fox, John, 1947-
Published: (2016)

Elementary statistics : a step by step approach : a brief version /
by: Bluman, Allan G.,
Published: (2019)

Statistical inference : an integrated approach /
by: Migon, Helio dos Santos,, et al.
Published: (2015)

Sampling designs dependent on sample parameters of auxiliary variables /
by: WywiaÅ, Janusz L.,
Published: (2015)

Design and analysis of experiments with R /
by: Lawson, John, 1947-
Published: (2015)

Applied statistics : principles and examples /
by: Cox, D. R., et al.
Published: (2000)

Elementary statistics : a step by step approach /
by: Bluman, Allan G.,
Published: (2018)

Applied statistical inference with MINITAB® /
by: Lesik, Sally A.,
Published: (2019)

Advanced R /
by: Wickham, Hadley,
Published: (2019)

Introduction to mathematical statistics and its applications /
by: Larsen, Richard J.,, et al.
Published: (2014)

Introductory Statistics, Global Edition.
by: Weiss, Neil A.
Published: (2017)

Exercising Essential Statistics.
by: Berman, Evan M.
Published: (2016)

AP statistics 2008-2009 /
by: Hinders, Duane C.
Published: (2008)

Modern mathematical statistics with applications
by: Devore, Jay L.
Published: (2012)

Sustainable development policy : a European perspective /
Published: (2017)

Introduction to Exercise Science /
by: Housh, Terry J.,
Published: (2017)

Power systems analysis /
by: Murty, P. S. R.,
Published: (2017)

Cosmetic science and technology : theoretical principles and applications /
by: Sakamoto, Kazutami,
Published: (2017)

Error analysis : perspectives on second language acquisition /
Published: (2014)

E-learning and the science of instruction : proven guidelines for consumers and designers of multimedia learning /
by: Clark, Ruth Colvin,, et al.
Published: (2016)

Learning malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows malware /
by: Monnappa K A,
Published: (2018)

Mastering malware analysis : the complete malware analyst's guide to combating malicious software, APT, cybercrime, and loT attacks /
by: Kleymenov, Alexey,, et al.
Published: (2019)