Posted by **arundhati** at July 22, 2015

2015 | ISBN-10: 1466554924 | 220 pages | PDF | 4 MB

Posted by **AvaxGenius** at April 16, 2018

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring.

Posted by **readerXXI** at April 16, 2018

English | 2017 | ISBN: 1138627828 | 334 Pages | ePUB | 6.5 MB

Posted by **step778** at March 29, 2018

2005 | pages: 317 | ISBN: 3540296050 | PDF | 1,8 mb

Posted by **step778** at March 14, 2018

2011 | pages: 192 | ISBN: 080477594X | PDF | 1,2 mb

Posted by **AvaxGenius** at Feb. 26, 2018

This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses.

Posted by **insetes** at Jan. 7, 2018

2015 | 96 Pages | ISBN: 1493920553 | PDF | 2 MB

Posted by **AvaxGenius** at May 21, 2018

English | EPUB | 2018 | 491 Pages | ISBN : 3319747479 | 9.44 MB

In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems.

Posted by **AvaxGenius** at May 21, 2018

English | EPUB | 2016 | 301 Pages | ISBN : 9811023409 | 3.29 MB

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis.

Posted by **AvaxGenius** at May 21, 2018

English | EPUB | 2018 | 565 Pages | ISBN : 9811037248 | 10.87 MB

This self-contained textbook discusses all major topics in functional analysis. Combining classical materials with new methods, it supplies numerous relevant solved examples and problems and discusses the applications of functional analysis in diverse fields. The book is unique in its scope, and a variety of applications of functional analysis and operator-theoretic methods are devoted to each area of application. Each chapter includes a set of problems, some of which are routine and elementary, and some of which are more advanced.