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OverviewFull Product DetailsAuthor: Zaven A. Karian , Edward J. DudewiczPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.625kg ISBN: 9780367398613ISBN 10: 0367398613 Pages: 438 Publication Date: 19 September 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsThe Generalized Lambda Family of Distributions. Fitting Distributions and Data with the GLD via the Method of Moments. The Extended GLD System, the EGLD: Fitting by the Method of Moments. A Percentile-Based Approach to Fitting Distributions and Data with the GLD. GLD-2: the Bivariate GLD Distribution. The Generalized Bootstrap (GB) and Monte Carlo (MC) Methods. AppendicesReviews"""The generalized lambda family of distributions is a very broad family of continuous univariate probability distributions. The authors have been at the forefront in investigating this distributionthey thoroughly explore the relationship of the generalized lambda family of distributions to many commonly used families of distributionsprovide a thorough exploration of the generalized lambda family of distributions and its use in the fitting of data. Practitioners who wish to fit data with a generalized lambda distribution will find this book useful. Numerous examples with actual datasets illustrate the utility of the techniquesIn summary, the authors have presented a complete exploration of the use of a particular family of distributions in fitting data."" - Thomas E. Wehrly, Texas A & M University, Technometrics, May 2002 ""In this outstanding treatise the GLD is explored in depth. The writing is clear and the mathematical analyses are easy to follow."" -Telegraphic Reviews ""This book is clearly written, and provides an excellent summary of what is currently known about the GLD, and indeed the authors have made major contributions to this body of knowledge in the last few years"" --M. S. Ridout, Biometrics, June 2001" The generalized lambda family of distributions is a very broad family of continuous univariate probability distributions. The authors have been at the forefront in investigating this distributionthey thoroughly explore the relationship of the generalized lambda family of distributions to many commonly used families of distributionsprovide a thorough exploration of the generalized lambda family of distributions and its use in the fitting of data. Practitioners who wish to fit data with a generalized lambda distribution will find this book useful. Numerous examples with actual datasets illustrate the utility of the techniquesIn summary, the authors have presented a complete exploration of the use of a particular family of distributions in fitting data. - Thomas E. Wehrly, Texas A & M University, Technometrics, May 2002 In this outstanding treatise the GLD is explored in depth. The writing is clear and the mathematical analyses are easy to follow. -Telegraphic Reviews This book is clearly written, and provides an excellent summary of what is currently known about the GLD, and indeed the authors have made major contributions to this body of knowledge in the last few years --M. S. Ridout, Biometrics, June 2001 Author InformationKarian, Zaven A.; Dudewicz, Edward J. Tab Content 6Author Website:Countries AvailableAll regions |
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