Posted by **hill0** at Feb. 13, 2018

English | 15 Dec. 2016 | ISBN: 9811025932 | 222 Pages | EPUB | 2.73 MB

Posted by **AlexGolova** at Jan. 23, 2018

English | 9 Aug. 2014 | ISBN: 9401782008 | 188 Pages | AZW3 | 1.95 MB

Posted by **hill0** at Jan. 23, 2018

English | 27 Oct. 2016 | ISBN: 3319331523 | 557 Pages | PDF | 19.04 MB

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL,

Posted by **hill0** at Jan. 19, 2018

English | 29 Oct. 2013 | ISBN: 1461486866 | 312 Pages | EPUB | 5.34 MB

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package

Posted by **AvaxGenius** at Jan. 17, 2018

English | PDF,EPUB | 2017 | 355 Pages | ISBN : 3319694154 | 11.75 MB

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences.

Posted by **Underaglassmoon** at Jan. 8, 2018

Pearson | English | 2014 | ISBN-10: 1292042907 | 749 pages | PDF | 15.31 mb

By William Mendenhall, Terry Sincich

Posted by **lengen** at Dec. 24, 2017

English | Aug. 9, 1996 | ISBN: 0387947248 | 195 Pages | PDF | 2 MB

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods.

Posted by **AvaxGenius** at Dec. 23, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 294 Pages | ISBN : 9811054177 | 8.22 MB

This book outlines best practice protocols for body composition analysis of high-performance athletes and provides guidance on the use of new technologies for anthropometry. While surface anthropometry has traditionally been used to assess body composition through the internationally recognised methodology of the International Society for the Advancement of Kinanthropometry (ISAK), the recent commercialisation of devices, such as bioelectrical impedance technologies, dual-energy X-ray absorptiometry (DXA), ultrasound, 3D photometry and air-displacement plethysmography (Bod Pod), has led to the non-standardised adoption of new measurement techniques.

Posted by **arundhati** at Dec. 18, 2017

2003 | ISBN-10: 0471391042, 047012069X | 704 pages | PDF | 8 MB

Posted by **AvaxGenius** at Dec. 10, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 523 Pages | ISBN : 3319661930 | 11 MB

This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments.