The next century will see more than half of the world's 6,000 languages become extinct, and most of these will disappear without being adequately recorded. Written by one of the leading figures in language documentation, this fascinating book explores what humanity stands to lose as a result. Explores the unique philosophy, knowledge, and cultural assumptions of languages, and their impact on our collective intellectual heritage Questions why such linguistic diversity exists in the first place, and how can we can best respond to the challenge of recording and documenting these fragile oral traditions while they are still with us Written by one of the leading figures in language documentation, and draws on a wealth of vivid examples from his own field experience Brings conceptual issues vividly to life by weaving in portraits of individual `last speakers' and anecdotes about linguists and their discoveries
A new edition of the trusted guide on commonly used statistical distributions Fully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis. Following a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the Fourth Edition features: A new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems Methods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions New coverage of conditional probability, including conditional expectations and joint and marginal distributions Commonly used tables associated with the normal (Gaussian), student-t, F and chi-square distributions Additional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference Statistical Distributions, Fourth Edition is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.