Posted by **arundhati** at April 1, 2018

2017 | ISBN-10: 0262037319 | 288 pages | PDF | 21 MB

Posted by **Grev27** at March 30, 2018

English | 2 Oct. 2015 | ISBN: 0133902838 | 250 Pages | PDF (True) | 19.4 MB

Posted by **readerXXI** at April 13, 2018

Proceedings of a Workshop

English | 2017 | ISBN: 0309454441 | 114 Pages | ePUB | 2.13 MB

Posted by **arundhati** at March 29, 2018

2017 | ISBN-10: 0199349533, 0199349525 | 488 pages | PDF | 21 MB

Posted by **AvaxGenius** at March 28, 2018

English | PDF,EPUB | 2018 | 655 Pages | ISBN : 3319653032 | 17.35 MB

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation problems by using the general template of targeted maximum likelihood estimators. These targeted machine learning algorithms estimate quantities of interest while still providing valid inference.

Posted by **naag** at March 21, 2018

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 86 MB

This course provides an overview of the most important features that are part of Java 10.

Posted by **AvaxGenius** at Feb. 25, 2018

This book examines how legal causation inference and epidemiological causal inference can be harmonized within the realm of jurisprudence, exploring why legal causation and epidemiological causation differ from each other and defining related problems. The book also discusses how legal justice can be realized and how victims’ rights can be protected. It looks at epidemiological evidence pertaining to causal relationships in cases such as smoking and the development of lung cancer, and enables readers to correctly interpret and rationally use the results of epidemiological studies in lawsuits.

Posted by **AvaxGenius** at Feb. 23, 2018

This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.

Posted by **DZ123** at Feb. 17, 2018

English | 2008 | ISBN: 0521848156 | PDF | pages: 1073 | 6.6 mb

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

English | ISBN: 0198743734 | 2017 | 320 pages | PDF | 3 MB