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Statistics and computing, ISSN 0960-3174, 1991
Journal
Computational statistics, ISSN 0943-4062, 1992
Journal
2015, 3rd edition., For dummies, ISBN 9781118989012, xii, 370 pages
If you work in a field that uses SPSS Statistics, you may have found it overwhelming... 
Statistical methods | SPSS (Computer file) | Social sciences | Computer programs
Book
2008, 1. Aufl., ISBN 9780470985816, xviii, 343 p., [8] p. of plates
... to a deeper and more extensive understanding of the use of statistics in environmental sciences... 
Data processing | R (Computer program language) | Statistical methods | Environmental sciences
Book
2017, Second edition., Springer Texts in Statistics, ISBN 3319648667, xxix, 648 pages
"This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics... 
Statistiques | Mathematical statistics | Analyse numérique | Mathematics | Statistique mathématique | Statistics | Computer science | Numerical analysis | Algebra | Informatique | Mathématiques | Matrices | Algèbre
Book
2006, 3rd ed., ISBN 0817643869, xvi, 218
".the author has packaged an excellent and modern set of topics around the development and use of quantitative models... If you need to learn about resampling,... 
Resampling (Statistics)
Book
2016, ISBN 3319397559, xix, 258 pages
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science... 
Uncertainty | Mathematical models
Book
2007, 1st ed., ISBN 0470510242, viii, 942
The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics... 
Mathematics / Probability & Statistics | Statistical Software / R | Mathematical statistics | Data processing | R (Computer program language) | Statistics
Book
2007, 1st ed., ISBN 0470510242, viii, 942
The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics... 
Mathematics / Probability & Statistics | Statistical Software / R | Mathematical statistics | Data processing | R (Computer program language) | Statistics
Book