Handbook of Financial Data and Risk Information I

Handbook of Financial Data and Risk Information I
Author: Margarita S. Brose
Publisher: Cambridge University Press
Total Pages: 659
Release: 2014
Genre: Financial institutions
ISBN: 1107012015

Volume I examines the business and regulatory context that makes risk information so important. A vast set of quantitative techniques, internal risk measurement and governance processes, and supervisory reporting rules have grown up over time, all with important implications for modeling and managing risk information. Without an understanding of the broader forces at work, it is all too easy to get lost in the details. -- Back cover.

Handbook on European Competition Law

Handbook on European Competition Law
Author: Ioannis Lianos
Publisher: Edward Elgar Publishing
Total Pages: 648
Release: 2013-10-31
Genre: Law
ISBN: 1782546219

This Handbook will be an indispensable reference work for practitioners and scholars, as well as for those in an enforcement environment.

International Handbook of Survey Methodology

International Handbook of Survey Methodology
Author: Edith D. de Leeuw
Publisher: Taylor & Francis
Total Pages: 559
Release: 2012-10-12
Genre: Psychology
ISBN: 1136910638

Taking into account both traditional and emerging modes, this comprehensive new Handbook covers all major methodological and statistical issues in designing and analyzing surveys. With contributions from the world's leading survey methodologists and statisticians, this invaluable new resource provides guidance on collecting survey data and creating meaningful results. Featuring examples from a variety of countries, the book reviews such things as how to deal with sample designs, write survey questions, and collect data on the Internet. A thorough review of the procedures associated with multiple modes of collecting sample survey information and applying that combination of methods that fit the situation best is included. The International Handbook of Survey Methodology opens with the foundations of survey design, ranging from sources of error, to ethical issues. This is followed by a section on design that reviews sampling challenges and tips on writing and testing questions for multiple methods. Part three focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey. Analyzing data from both simple and complex surveys is then explored, as well as procedures for adjusting data. The book concludes with a discussion of maintaining quality. Intended for advanced students and researchers in the behavioral, social, and health sciences, this "must have" resource will appeal to those interested in conducting or using survey data from anywhere in the world, especially those interested in comparing results across countries. The book also serves as a state-of-the-art text for graduate level courses and seminars on survey methodology. A companion website contains additional readings and examples.

OECD Glossary of Statistical Terms

OECD Glossary of Statistical Terms
Author: OECD
Publisher: OECD Publishing
Total Pages: 605
Release: 2008-09-01
Genre:
ISBN: 9264055088

The OECD Glossary contains a comprehensive set of over 6 700 definitions of key terminology, concepts and commonly used acronyms derived from existing international statistical guidelines and recommendations.

Interface between Regulation and Statistics in Drug Development

Interface between Regulation and Statistics in Drug Development
Author: Demissie Alemayehu
Publisher: CRC Press
Total Pages: 122
Release: 2020-11-11
Genre: Medical
ISBN: 1000215903

With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug development. However, the available literature on this important topic is sporadic, and often not readily accessible to drug developers or regulatory personnel. This book provides a systematic exposition of the interplay between the two disciplines, including emerging themes pertaining to the acceleration of the development of pharmaceutical medicines to serve patients with unmet needs. Features: Regulatory and statistical interactions throughout the drug development continuum The critical role of the statistician in relation to the changing regulatory and healthcare landscapes Statistical issues that commonly arise in the course of drug development and regulatory interactions Trending topics in drug development, with emphasis on current regulatory thinking and the associated challenges and opportunities The book is designed to be accessible to readers with an intermediate knowledge of statistics, and can be a useful resource to statisticians, medical researchers, and regulatory personnel in drug development, as well as graduate students in the health sciences. The authors’ decades of experience in the pharmaceutical industry and academia, and extensive regulatory experience, comes through in the many examples throughout the book.

Plunkett's Outsourcing & Offshoring Industry Almanac: Outsourcing and Offshoring Industry Market Research, Statistics, Trends & Leading Companies

Plunkett's Outsourcing & Offshoring Industry Almanac: Outsourcing and Offshoring Industry Market Research, Statistics, Trends & Leading Companies
Author: Jack W. Plunkett
Publisher: Plunkett Research, Ltd.
Total Pages: 472
Release: 2007-07
Genre: Business & Economics
ISBN: 1593920881

Contains trends, statistical tables, and an industry glossary. This almanac presents over 300 profiles of outsourcing and offshoring industry firms. It also includes addresses, phone numbers, and executives.

Statistical Inference as Severe Testing

Statistical Inference as Severe Testing
Author: Deborah G. Mayo
Publisher: Cambridge University Press
Total Pages: 503
Release: 2018-09-20
Genre: Mathematics
ISBN: 1108563309

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.