Foundation Programme

Foundation Programme
Author: Douglas Armour
Publisher: Icsa: The Governance Institute
Total Pages: 311
Release: 2018-06-29
Genre: Corporate governance
ISBN: 9781860727337

Statistical Modeling for Degradation Data

Statistical Modeling for Degradation Data
Author: Ding-Geng (Din) Chen
Publisher: Springer
Total Pages: 382
Release: 2017-08-31
Genre: Mathematics
ISBN: 9811051941

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, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.

International Business and Management

International Business and Management
Author: Phil Kelly
Publisher: International Thomson Business Press
Total Pages: 0
Release: 2008-11
Genre: Business & Economics
ISBN: 9781844807840

Developed using extensive lecturer and student feedback, International Business and Management acknowledges recent changes in course emphasis and presents an integrated treatment of international management problems. Combining a strong strategic focus with coverage of the functions that underpin global business, it delivers a fresh European perspective on international business, expressly written for post-introductory undergraduate courses and also for MBA students. All of the key areas of international business are covered within this managerial framework, including important topics rarely covered in older textbooks such as: SMEs and how they compete on a global level; ethics and social responsibility; and technology and how organizations use information to support global operations and deliver competitive advantage. Kelly also includes constructive and genuinely international examples, showing how SMEs through to MNCs have grappled with the operational and organizational challenges of international business. Eye-catching real-world case studies, market researched pedagogy, and a strong theoretical backbone ensure that Kelly: International Business and Management is at the forefront of European IB textbooks.

Statistical Analysis of Microbiome Data with R

Statistical Analysis of Microbiome Data with R
Author: Yinglin Xia
Publisher: Springer
Total Pages: 518
Release: 2018-10-06
Genre: Computers
ISBN: 9811315345

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.

Monte-Carlo Simulation-Based Statistical Modeling

Monte-Carlo Simulation-Based Statistical Modeling
Author: Ding-Geng (Din) Chen
Publisher: Springer
Total Pages: 440
Release: 2017-02-01
Genre: Medical
ISBN: 9811033072

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.