Statistical Data
R Programming: Statistical Data Analysis in Research eBooks & eLearning
Posted by Free butterfly at March 29, 2025
R Programming: Statistical Data Analysis in Research by Kingsley Okoye, Samira Hosseini
English | July 8, 2024 | ISBN: 9819733847 | 324 pages | MOBI | 63 Mb
English | July 8, 2024 | ISBN: 9819733847 | 324 pages | MOBI | 63 Mb
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition (repost) eBooks & eLearning
Posted by interes at June 30, 2015
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition by Claus Thorn Ekstrom and Helle Sørensen
English | 2014 | ISBN: 1482238934 | 526 pages | PDF | 3,3 MB
English | 2014 | ISBN: 1482238934 | 526 pages | PDF | 3,3 MB
Statistical Data Analysis and Entropy eBooks & eLearning
Posted by roxul at June 14, 2020
Nobuoki Eshima, "Statistical Data Analysis and Entropy "
English | ISBN: 981152551X | 2020 | 257 pages | PDF | 4 MB
English | ISBN: 981152551X | 2020 | 257 pages | PDF | 4 MB
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition eBooks & eLearning
Posted by interes at May 1, 2015
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition by Claus Thorn Ekstrom and Helle Sørensen
English | 2014 | ISBN: 1482238934 | 526 pages | PDF | 3,3 MB
English | 2014 | ISBN: 1482238934 | 526 pages | PDF | 3,3 MB
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition eBooks & eLearning
Posted by interes at March 8, 2019
Introduction to Statistical Data Analysis for the Life Sciences, Second Edition by Claus Thorn Ekstrom and Helle Sørensen
English | 2014 | ISBN: 1482238934, 1138445746 | 526 pages | PDF | 3,3 MB
English | 2014 | ISBN: 1482238934, 1138445746 | 526 pages | PDF | 3,3 MB
Statistical Data Analysis Using SAS: Intermediate Statistical Methods (2nd Edition) eBooks & eLearning
Posted by Jeembo at May 13, 2018
Statistical Data Analysis Using SAS: Intermediate Statistical Methods (2nd Edition) by Mervyn G. Marasinghe, Kenneth J. Koehler
English | 2018 | ISBN: 3319692380 | 679 Pages | PDF | 25.5 MB
English | 2018 | ISBN: 3319692380 | 679 Pages | PDF | 25.5 MB
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data.
Statistical Data Analysis and Entropy eBooks & eLearning
Posted by readerXXI at Jan. 16, 2021
Statistical Data Analysis and Entropy
by Nobuoki Eshima
English | 2020 | ISBN: 981152551X | 268 Pages | ePUB | 29 MB
by Nobuoki Eshima
English | 2020 | ISBN: 981152551X | 268 Pages | ePUB | 29 MB
The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data eBooks & eLearning
Posted by yoyoloit at Nov. 5, 2021
The Numerate Leader
by King, Thomas A.;
English | 2021 | ISBN: 1119843286 | 288 pages | True PDF EPUB | 6.67 MB
by King, Thomas A.;
English | 2021 | ISBN: 1119843286 | 288 pages | True PDF EPUB | 6.67 MB
Numeric Computation and Statistical Data Analysis on the Java Platform [repost] eBooks & eLearning
Posted by naag at April 14, 2017
![Numeric Computation and Statistical Data Analysis on the Java Platform [repost]](https://pixhost.icu/avaxhome/46/d8/0044d846_medium.jpg)
Numeric Computation and Statistical Data Analysis on the Java Platform By Sergei V. Chekanov
2016 | 648 Pages | ISBN: 3319285297 | PDF | 12 MB
2016 | 648 Pages | ISBN: 3319285297 | PDF | 12 MB
Numeric Computation and Statistical Data Analysis on the Java Platform eBooks & eLearning
Posted by AvaxGenius at July 14, 2017
Numeric Computation and Statistical Data Analysis on the Java Platform By Sergei V. Chekanov
English | PDF(Repost),EPUB | 2016 | 635 Pages | ISBN : 3319285297 | 20.6 MB
Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell.