Advances on Models, Characterizations and Applications

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advanced statistical distribution characterization
Asymmetric LINEX Loss Function
Category=PBT
conditional
Conditional Expectation
Continuous Distribution Function
Continuous Random Variable
Cumulative Distribution Function
distribution
Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
expectation
exponential
Exponential Distribution
Generalized Order Statistics
Gig
Gig Distribution
health risk assessment
Hidden Truncation
Hidden Truncation Models
Laplace Transform
LINEX Loss Function
Monotone Shapes
multivariate analysis
Normal Model
order
Order Statistics
ORR Estimator
pareto
probability theory
random
Random Variables
Random Vector
Record Values
Reverse Hazard Functions
risk modeling
RRE
statistical inference methods
statistics
stochastic processes
Usual Order Statistics
variable
vector
Vice Versa

Product details

  • ISBN 9780824740221
  • Weight: 476g
  • Dimensions: 152 x 229mm
  • Publication Date: 31 May 2005
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is critical to developing optimal inferential methods and validating the resulting model assumptions. Advances on Models, Characterizations and Applications offers up-to-date information on many recent developments in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts, this book delineates recent developments on characterizations and other important properties of several distributions, inferential issues related to these models, and several applications of the models to real-world problems. Each chapter is rich with references for further study or more in-depth information on each topic and reflects work presented at the International Conference on Advances on Characterizations, Models, and Applications held in Antalya, Turkey in December 2001. Advances on Models, Characterizations and Applications provides an updated account of important properties of statistical distributions that reflects their deep importance and broad application and is a welcome addition to the literature.
N. Balakrishnan, I. G. Bairamov, O. L. Gebizlioglu