Statistics: The Art And Science of Learning From Data,
Statistics: The Art and Science of Learning from Data, 5th Edition, Global Edition eBooks & eLearning
Posted by yoyoloit at Oct. 8, 2022
Statistics: the Art and Science of Learning from Data, Global Edition
by Agresti, Alan;Franklin, Christine;Klingenberg, Bernhard;
English | 2023 | ISBN: 1292444762 | 878 pages | True PDF | 109.24 MB
by Agresti, Alan;Franklin, Christine;Klingenberg, Bernhard;
English | 2023 | ISBN: 1292444762 | 878 pages | True PDF | 109.24 MB
Statistics: The Art and Science of Learning from Data, 4th Global Edition eBooks & eLearning
Posted by IrGens at Oct. 30, 2019
Statistics: The Art and Science of Learning from Data, 4th Global Edition by Bernhard Klingenberg, Alan Agresti, Christine A. Franklin
English | 2017 | ISBN: 1292164778 | PDF | 816 pages | 42.2 MB
English | 2017 | ISBN: 1292164778 | PDF | 816 pages | 42.2 MB
Statistics: The Art and Science of Learning from Data (3rd edition) [Repost] eBooks & eLearning
Posted by ChrisRedfield at July 23, 2017
![Statistics: The Art and Science of Learning from Data (3rd edition) [Repost]](https://pixhost.icu/avaxhome/a0/64/004764a0_medium.jpg)
Alan Agresti, Christine A. Franklin - Statistics: The Art and Science of Learning from Data (3rd edition)
Published: 2012-01-06 | ISBN: 0321755944, 0321756320 | PDF | 832 pages | 39.67 MB
Statistics: The Art and Science of Learning from Data, Global Edition (Repost) eBooks & eLearning
Posted by DZ123 at Feb. 7, 2020
Alan Agresti, Christine A. Franklin, Bernhard Klingenberg, "Statistics: The Art and Science of Learning from Data, Global Edition"
English | 2017 | ISBN: 1292164778 | PDF | pages: 817 | 42.2 mb
English | 2017 | ISBN: 1292164778 | PDF | pages: 817 | 42.2 mb
Foundations of Statistics for Data Scientists: With R and Python eBooks & eLearning
Posted by yoyoloit at Jan. 20, 2022
Foundations of Statistics for Data Scientists
by Alan Agresti;Maria Kateri;
English | 2021 | ISBN: 0367748452 | 486 pages | True PDF | 15.63 MB
by Alan Agresti;Maria Kateri;
English | 2021 | ISBN: 0367748452 | 486 pages | True PDF | 15.63 MB
An Introduction to Categorical Data Analysis eBooks & eLearning
Posted by Underaglassmoon at March 10, 2019
An Introduction to Categorical Data Analysis
Wiley | English | 2019 | ISBN-10: 1119405262 | 400 pages | ePUB | 2.72 MB
Wiley | English | 2019 | ISBN-10: 1119405262 | 400 pages | ePUB | 2.72 MB
by Alan Agresti (Author)
A valuable new edition of a standard reference
The Art of Statistics: Learning from Data (Pelican Books) eBooks & eLearning
Posted by Free butterfly at Nov. 22, 2022
The Art of Statistics: Learning from Data (Pelican Books) by David Spiegelhalter
English | December 25, 2018 | ISBN: 0241258766 | 256 pages | EPUB | 8.11 Mb
English | December 25, 2018 | ISBN: 0241258766 | 256 pages | EPUB | 8.11 Mb
The Art of Statistics: Learning from Data (Pelican Books) eBooks & eLearning
Posted by Free butterfly at Nov. 30, 2020
The Art of Statistics: Learning from Data (Pelican Books) by Pelican
English | March 28, 2019 | ISBN: 0241398630 | 448 pages | PDF | 9.30 Mb
English | March 28, 2019 | ISBN: 0241398630 | 448 pages | PDF | 9.30 Mb
The Art of Statistics: Learning from Data (Pelican) eBooks & eLearning
Posted by First1 at July 8, 2019
The Art of Statistics: Learning from Data (Pelican) by David Spiegelhalter
English | March 28th, 2019 | ISBN: 0241398630 | 448 pages | EPUB | 7.58 MB
English | March 28th, 2019 | ISBN: 0241398630 | 448 pages | EPUB | 7.58 MB
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.
The Art of Statistics: Learning from Data eBooks & eLearning
Posted by arundhati at Dec. 11, 2020
David Spiegelhalter, "The Art of Statistics: Learning from Data "
English | ISBN: 0241398630 | 2019 | 448 pages | AZW3 | 4 MB
English | ISBN: 0241398630 | 2019 | 448 pages | AZW3 | 4 MB