Posted by **hill0** at Nov. 9, 2017

English | 7 Dec. 2017 | ISBN: 3319653660 | 276 Pages | PDF | 5.5 MB

This book provides a detailed description of research and application outcomes from the Assessment and Teaching of 21st Century Skills project, which explored a framework for understanding the nature of these skills.

Posted by **interes** at Oct. 30, 2017

English | 2016 | ISBN: 3319304100 | 347 pages | PDF | 15 MB

Posted by **arundhati** at Oct. 30, 2017

2017 | ISBN-10: 3319513125 | 220 pages | EPUB | 4 MB

Posted by **hill0** at Oct. 26, 2017

English | 3 July 2017 | ISBN: 9811048541 | 642 Pages | EPUB | 11.02 MB

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research,

Posted by **First1** at Oct. 26, 2017

English | 2017 | ISBN: 3319456148 | 236 Pages | EPUB | 2.30 MB

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing.

Posted by **arundhati** at Oct. 23, 2017

2016 | ISBN-10: 1446210448, 1446210456 | 768 pages | PDF | 35 MB

Posted by **AvaxGenius** at Oct. 12, 2017

English | PDF,EPUB | 2017 | 664 Pages | ISBN : 3319648667 | 12.91 MB

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, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides essential updates and comprehensive coverage on critical topics in mathematics in data science and in statistical theory.

Posted by **AvaxGenius** at Oct. 9, 2017

English | PDF | 2017 (2018 Edition) | 70 Pages | ISBN : 3319684140 | 2.4 MB

This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings.

Posted by **hill0** at Sept. 27, 2017

English | 2017 | ISBN: 331952206X | 534 Pages | PDF | 4.79 MB

Posted by **hill0** at Sept. 16, 2017

English | 29 Sept. 2017 | ISBN: 9811051933 | 376 Pages | PDF | 10.89 MB

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability,