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This book involves ideas/results from the topics of mathematical, information, and data sciences, in connection with the main research interests of Professor Pardo that can be summarized as Information Theory with Applications to Statistical Inference. This book is a tribute to Professor Leandro Pardo, who has chaired the Department of Statistics and OR of the Complutense University in Madrid, and he has been also President of the Spanish Society of Statistics and Operations Research.  In this way, the contributions have been structured into three parts, which often overlap to a...

• Includes up-to-date reviews on many important topics
• Chapters written by many...

Knowledge-for-development is under-theorised and under-researched within development studies, but as a set of policy objectives it is thriving within development practice. Donors and other agencies are striving to improve the flow of information within and between decision-makers and so-called poor and marginalized groups in order to promote economic and social development, including the empowerment of women. Gender, Power and Knowledge for Development questions the assumptions and practice of the knowledge-for-development industry.

Using a qualitative, multi-site...

A complete guide to the key statistical concepts essential for the design and construction of clinical trials

As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results. The referenceunveils modern approaches vital to understanding, creating, and evaluating data obtained throughoutthe various stages of clinical...

Hybrid Censoring: Models, Methods and Applications for Engineering and Bio Health focuses on hybrid censoring, a specific yet important topic in censoring methodology that has numerous applications. Readers will find information on the significance of censored data in theoretical and applied contexts and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur.

The existing literature on censoring methodology, life-testing procedures, or lifetime data analysis provides only hybrid censoring schemes, with little information...