Posted by **ksveta6** at Nov. 26, 2016

2016 | ISBN: 9811015899 | English | 523 pages | True PDF | 21 MB

Posted by **zxcvbn** at Sept. 14, 2016

Ru-Shi Liu | 2016 | EPUB, PDF(conv) | ISBN: 9811015899 | 523 pages | 9 Mb, 13 Mb

Posted by **AlenMiler** at Nov. 23, 2016

English | 27 Dec. 2016 | ISBN: 1498782116 | 202 Pages | MOBI/EPUB/PDF | 33.21 MB

This book is a reference for researchers who want to learn about resonant periodic structures for applications in microstrip circuits.

Posted by **arundhati** at Nov. 23, 2016

2016 | ISBN-10: 3319333003 | 989 pages | PDF | 12 MB

Posted by **arundhati** at Nov. 23, 2016

2016 | ISBN-10: 3319333038 | 1072 pages | PDF | 17 MB

Posted by **exLib** at Nov. 11, 2016

ITexLi | 2016 | ISBN: 9535127632 9535127624 9789535127628 9789535127635 | 379 pages | PDF | 76 MB

The aim of this book is to give readers a broad review of topical worldwide advancements in theoretical and experimental facts, instrumentation and practical applications erudite by luminescent materials and their prospects in dealing with different types of luminescence like photoluminescence, electroluminescence, thermo-luminescence, triboluminescence, bioluminescence design and applications. The additional part of this book deals with the dynamics, rare-earth ions, photon down-/up-converting materials, luminescence dating, lifetime, bioluminescence microscopical perspectives and prospects towards the basic research or for more advanced applications.

Posted by **Underaglassmoon** at Nov. 3, 2016

Springer | Statistics | November 25, 2016 | ISBN-10: 3319316397 | 332 pages | pdf | 4.64 mb

Editors: del Puerto, I.M., González, M.V., Gutiérrez, C., Martínez, R., Minuesa, C., Molina, M., Mota, M., Ramos, A. (Eds.)

Covers the most relevant and new models in branching processes theory, including both probabilistic and statistical developments

Describes the most recent applications of branching models in fields such as population dynamics, epidemiology, cell populations and genetics

Posted by **Underaglassmoon** at Oct. 31, 2016

Springer | Statistics | November 17, 2016 | ISBN-10: 3319412574 | 321 pages | pdf | 3.47 mb

Editors: He, Hua, Wu, Pan, Chen, Ding-Geng (Din) (Eds.)

Contains much needed coverage of recent developments in causal inference

Begins with an introduction to the concept of potential outcomes as applicable to causal inference concepts, models, and assumptions

Posted by **ChrisRedfield** at Oct. 25, 2016

Published: 2008-06-23 | ISBN: 3527313613 | PDF | 440 pages | 9.4 MB

Posted by **Underaglassmoon** at Aug. 1, 2016

Springer | Statistics | August 28, 2016 | ISBN-10: 3319327887 | 327 pages | pdf | 3.14 mb

Authors: Phadia, Eswar G.

Provides valuable resource for nonparametric Bayesian analysis of big data

Includes a section on machine learning

Shows practical examples